diff options
Diffstat (limited to 'tensorflow/tools')
1217 files changed, 51704 insertions, 1880 deletions
diff --git a/tensorflow/tools/api/generator/BUILD b/tensorflow/tools/api/generator/BUILD deleted file mode 100644 index 8c760e6f52..0000000000 --- a/tensorflow/tools/api/generator/BUILD +++ /dev/null @@ -1,71 +0,0 @@ -# Description: -# Scripts used to generate TensorFlow Python API. - -licenses(["notice"]) # Apache 2.0 - -load("//tensorflow/tools/api/generator:api_gen.bzl", "ESTIMATOR_API_INIT_FILES") -load("//tensorflow/tools/api/generator:api_gen.bzl", "TENSORFLOW_API_INIT_FILES") - -exports_files( - [ - "LICENSE", - "create_python_api.py", - ], -) - -py_library( - name = "doc_srcs", - srcs = ["doc_srcs.py"], - srcs_version = "PY2AND3", - visibility = ["//visibility:public"], - deps = [ - "//tensorflow/python:util", - ], -) - -py_test( - name = "create_python_api_test", - srcs = [ - "create_python_api.py", - "create_python_api_test.py", - ], - srcs_version = "PY2AND3", - deps = [ - ":doc_srcs", - "//tensorflow/python:client_testlib", - "//tensorflow/python:no_contrib", - ], -) - -py_test( - name = "tensorflow_doc_srcs_test", - srcs = ["doc_srcs_test.py"], - args = [ - "--package=tensorflow.python", - "--api_name=tensorflow", - ] + TENSORFLOW_API_INIT_FILES, - main = "doc_srcs_test.py", - srcs_version = "PY2AND3", - deps = [ - ":doc_srcs", - "//tensorflow/python:client_testlib", - "//tensorflow/python:no_contrib", - ], -) - -py_test( - name = "estimator_doc_srcs_test", - srcs = ["doc_srcs_test.py"], - args = [ - "--package=tensorflow.python.estimator", - "--api_name=estimator", - ] + ESTIMATOR_API_INIT_FILES, - main = "doc_srcs_test.py", - srcs_version = "PY2AND3", - deps = [ - ":doc_srcs", - "//tensorflow/python:client_testlib", - "//tensorflow/python:no_contrib", - "//tensorflow/python/estimator:estimator_py", - ], -) diff --git a/tensorflow/tools/api/generator/api_gen.bzl b/tensorflow/tools/api/generator/api_gen.bzl deleted file mode 100644 index d746b5d3e4..0000000000 --- a/tensorflow/tools/api/generator/api_gen.bzl +++ /dev/null @@ -1,161 +0,0 @@ -"""Targets for generating TensorFlow Python API __init__.py files.""" - -# keep sorted -TENSORFLOW_API_INIT_FILES = [ - # BEGIN GENERATED FILES - "__init__.py", - "app/__init__.py", - "bitwise/__init__.py", - "compat/__init__.py", - "data/__init__.py", - "debugging/__init__.py", - "distributions/__init__.py", - "distributions/bijectors/__init__.py", - "dtypes/__init__.py", - "errors/__init__.py", - "feature_column/__init__.py", - "gfile/__init__.py", - "graph_util/__init__.py", - "image/__init__.py", - "io/__init__.py", - "initializers/__init__.py", - "keras/__init__.py", - "keras/activations/__init__.py", - "keras/applications/__init__.py", - "keras/applications/densenet/__init__.py", - "keras/applications/inception_resnet_v2/__init__.py", - "keras/applications/inception_v3/__init__.py", - "keras/applications/mobilenet/__init__.py", - "keras/applications/nasnet/__init__.py", - "keras/applications/resnet50/__init__.py", - "keras/applications/vgg16/__init__.py", - "keras/applications/vgg19/__init__.py", - "keras/applications/xception/__init__.py", - "keras/backend/__init__.py", - "keras/callbacks/__init__.py", - "keras/constraints/__init__.py", - "keras/datasets/__init__.py", - "keras/datasets/boston_housing/__init__.py", - "keras/datasets/cifar10/__init__.py", - "keras/datasets/cifar100/__init__.py", - "keras/datasets/fashion_mnist/__init__.py", - "keras/datasets/imdb/__init__.py", - "keras/datasets/mnist/__init__.py", - "keras/datasets/reuters/__init__.py", - "keras/estimator/__init__.py", - "keras/initializers/__init__.py", - "keras/layers/__init__.py", - "keras/losses/__init__.py", - "keras/metrics/__init__.py", - "keras/models/__init__.py", - "keras/optimizers/__init__.py", - "keras/preprocessing/__init__.py", - "keras/preprocessing/image/__init__.py", - "keras/preprocessing/sequence/__init__.py", - "keras/preprocessing/text/__init__.py", - "keras/regularizers/__init__.py", - "keras/utils/__init__.py", - "keras/wrappers/__init__.py", - "keras/wrappers/scikit_learn/__init__.py", - "layers/__init__.py", - "linalg/__init__.py", - "logging/__init__.py", - "losses/__init__.py", - "manip/__init__.py", - "math/__init__.py", - "metrics/__init__.py", - "nn/__init__.py", - "nn/rnn_cell/__init__.py", - "profiler/__init__.py", - "python_io/__init__.py", - "quantization/__init__.py", - "resource_loader/__init__.py", - "strings/__init__.py", - "saved_model/__init__.py", - "saved_model/builder/__init__.py", - "saved_model/constants/__init__.py", - "saved_model/loader/__init__.py", - "saved_model/main_op/__init__.py", - "saved_model/signature_constants/__init__.py", - "saved_model/signature_def_utils/__init__.py", - "saved_model/tag_constants/__init__.py", - "saved_model/utils/__init__.py", - "sets/__init__.py", - "sparse/__init__.py", - "spectral/__init__.py", - "summary/__init__.py", - "sysconfig/__init__.py", - "test/__init__.py", - "train/__init__.py", - "train/queue_runner/__init__.py", - "user_ops/__init__.py", - # END GENERATED FILES -] - -# keep sorted -ESTIMATOR_API_INIT_FILES = [ - # BEGIN GENERATED ESTIMATOR FILES - "__init__.py", - "estimator/__init__.py", - "estimator/export/__init__.py", - "estimator/inputs/__init__.py", - # END GENERATED ESTIMATOR FILES -] - -# Creates a genrule that generates a directory structure with __init__.py -# files that import all exported modules (i.e. modules with tf_export -# decorators). -# -# Args: -# name: name of genrule to create. -# output_files: List of __init__.py files that should be generated. -# This list should include file name for every module exported using -# tf_export. For e.g. if an op is decorated with -# @tf_export('module1.module2', 'module3'). Then, output_files should -# include module1/module2/__init__.py and module3/__init__.py. -# root_init_template: Python init file that should be used as template for -# root __init__.py file. "# API IMPORTS PLACEHOLDER" comment inside this -# template will be replaced with root imports collected by this genrule. -# srcs: genrule sources. If passing root_init_template, the template file -# must be included in sources. -# api_name: Name of the project that you want to generate API files for -# (e.g. "tensorflow" or "estimator"). -# package: Python package containing the @tf_export decorators you want to -# process -# package_dep: Python library target containing your package. - -def gen_api_init_files( - name, - output_files = TENSORFLOW_API_INIT_FILES, - root_init_template = None, - srcs = [], - api_name = "tensorflow", - package = "tensorflow.python", - package_dep = "//tensorflow/python:no_contrib"): - root_init_template_flag = "" - if root_init_template: - root_init_template_flag = "--root_init_template=$(location " + root_init_template + ")" - - api_gen_binary_target = "create_" + package + "_api" - native.py_binary( - name = "create_" + package + "_api", - srcs = ["//tensorflow/tools/api/generator:create_python_api.py"], - main = "//tensorflow/tools/api/generator:create_python_api.py", - srcs_version = "PY2AND3", - visibility = ["//visibility:public"], - deps = [ - package_dep, - "//tensorflow/tools/api/generator:doc_srcs", - ], - ) - - native.genrule( - name = name, - outs = output_files, - cmd = ( - "$(location :" + api_gen_binary_target + ") " + - root_init_template_flag + " --apidir=$(@D) --apiname=" + api_name + " --package=" + package + " $(OUTS)"), - srcs = srcs, - tools = [":" + api_gen_binary_target ], - visibility = ["//tensorflow:__pkg__"], - ) diff --git a/tensorflow/tools/api/generator/create_python_api.py b/tensorflow/tools/api/generator/create_python_api.py deleted file mode 100644 index 48d7dcd09e..0000000000 --- a/tensorflow/tools/api/generator/create_python_api.py +++ /dev/null @@ -1,402 +0,0 @@ -# Copyright 2017 The TensorFlow Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# ============================================================================= -"""Generates and prints out imports and constants for new TensorFlow python api. -""" -from __future__ import absolute_import -from __future__ import division -from __future__ import print_function - -import argparse -import collections -import importlib -import os -import sys - -from tensorflow.python.util import tf_decorator -from tensorflow.python.util import tf_export -from tensorflow.tools.api.generator import doc_srcs - -API_ATTRS = tf_export.API_ATTRS - -_DEFAULT_PACKAGE = 'tensorflow.python' -_GENFILES_DIR_SUFFIX = 'genfiles/' -_SYMBOLS_TO_SKIP_EXPLICITLY = { - # Overrides __getattr__, so that unwrapping tf_decorator - # would have side effects. - 'tensorflow.python.platform.flags.FLAGS' -} -_GENERATED_FILE_HEADER = """# This file is MACHINE GENERATED! Do not edit. -# Generated by: tensorflow/tools/api/generator/create_python_api.py script. -\"\"\"%s -\"\"\" - -from __future__ import print_function - -""" -_GENERATED_FILE_FOOTER = "\n\ndel print_function\n" - - -class SymbolExposedTwiceError(Exception): - """Raised when different symbols are exported with the same name.""" - pass - - -def format_import(source_module_name, source_name, dest_name): - """Formats import statement. - - Args: - source_module_name: (string) Source module to import from. - source_name: (string) Source symbol name to import. - dest_name: (string) Destination alias name. - - Returns: - An import statement string. - """ - if source_module_name: - if source_name == dest_name: - return 'from %s import %s' % (source_module_name, source_name) - else: - return 'from %s import %s as %s' % ( - source_module_name, source_name, dest_name) - else: - if source_name == dest_name: - return 'import %s' % source_name - else: - return 'import %s as %s' % (source_name, dest_name) - - -class _ModuleInitCodeBuilder(object): - """Builds a map from module name to imports included in that module.""" - - def __init__(self): - self.module_imports = collections.defaultdict( - lambda: collections.defaultdict(set)) - self._dest_import_to_id = collections.defaultdict(int) - # Names that start with underscore in the root module. - self._underscore_names_in_root = [] - - def add_import( - self, symbol_id, dest_module_name, source_module_name, source_name, - dest_name): - """Adds this import to module_imports. - - Args: - symbol_id: (number) Unique identifier of the symbol to import. - dest_module_name: (string) Module name to add import to. - source_module_name: (string) Module to import from. - source_name: (string) Name of the symbol to import. - dest_name: (string) Import the symbol using this name. - - Raises: - SymbolExposedTwiceError: Raised when an import with the same - dest_name has already been added to dest_module_name. - """ - import_str = format_import(source_module_name, source_name, dest_name) - - # Check if we are trying to expose two different symbols with same name. - full_api_name = dest_name - if dest_module_name: - full_api_name = dest_module_name + '.' + full_api_name - if (full_api_name in self._dest_import_to_id and - symbol_id != self._dest_import_to_id[full_api_name] and - symbol_id != -1): - raise SymbolExposedTwiceError( - 'Trying to export multiple symbols with same name: %s.' % - full_api_name) - self._dest_import_to_id[full_api_name] = symbol_id - - if not dest_module_name and dest_name.startswith('_'): - self._underscore_names_in_root.append(dest_name) - - # The same symbol can be available in multiple modules. - # We store all possible ways of importing this symbol and later pick just - # one. - self.module_imports[dest_module_name][full_api_name].add(import_str) - - def build(self): - """Get a map from destination module to __init__.py code for that module. - - Returns: - A dictionary where - key: (string) destination module (for e.g. tf or tf.consts). - value: (string) text that should be in __init__.py files for - corresponding modules. - """ - module_text_map = {} - for dest_module, dest_name_to_imports in self.module_imports.items(): - # Sort all possible imports for a symbol and pick the first one. - imports_list = [ - sorted(imports)[0] - for _, imports in dest_name_to_imports.items()] - module_text_map[dest_module] = '\n'.join(sorted(imports_list)) - - # Expose exported symbols with underscores in root module - # since we import from it using * import. - underscore_names_str = ', '.join( - '\'%s\'' % name for name in self._underscore_names_in_root) - # We will always generate a root __init__.py file to let us handle * - # imports consistently. Be sure to have a root __init__.py file listed in - # the script outputs. - module_text_map[''] = module_text_map.get('', '') + ''' -_names_with_underscore = [%s] -__all__ = [_s for _s in dir() if not _s.startswith('_')] -__all__.extend([_s for _s in _names_with_underscore]) -__all__.remove('print_function') -''' % underscore_names_str - - return module_text_map - - -def get_api_init_text(package, api_name): - """Get a map from destination module to __init__.py code for that module. - - Args: - package: Base python package containing python with target tf_export - decorators. - api_name: API you want to generate (e.g. `tensorflow` or `estimator`). - - Returns: - A dictionary where - key: (string) destination module (for e.g. tf or tf.consts). - value: (string) text that should be in __init__.py files for - corresponding modules. - """ - module_code_builder = _ModuleInitCodeBuilder() - - # Traverse over everything imported above. Specifically, - # we want to traverse over TensorFlow Python modules. - for module in list(sys.modules.values()): - # Only look at tensorflow modules. - if (not module or not hasattr(module, '__name__') or - module.__name__ is None or package not in module.__name__): - continue - # Do not generate __init__.py files for contrib modules for now. - if '.contrib.' in module.__name__ or module.__name__.endswith('.contrib'): - continue - - for module_contents_name in dir(module): - if (module.__name__ + '.' + module_contents_name - in _SYMBOLS_TO_SKIP_EXPLICITLY): - continue - attr = getattr(module, module_contents_name) - - # If attr is _tf_api_constants attribute, then add the constants. - if module_contents_name == API_ATTRS[api_name].constants: - for exports, value in attr: - for export in exports: - names = export.split('.') - dest_module = '.'.join(names[:-1]) - module_code_builder.add_import( - -1, dest_module, module.__name__, value, names[-1]) - continue - - _, attr = tf_decorator.unwrap(attr) - # If attr is a symbol with _tf_api_names attribute, then - # add import for it. - if (hasattr(attr, '__dict__') and - API_ATTRS[api_name].names in attr.__dict__): - for export in getattr(attr, API_ATTRS[api_name].names): # pylint: disable=protected-access - names = export.split('.') - dest_module = '.'.join(names[:-1]) - module_code_builder.add_import( - id(attr), dest_module, module.__name__, module_contents_name, - names[-1]) - - # Import all required modules in their parent modules. - # For e.g. if we import 'foo.bar.Value'. Then, we also - # import 'bar' in 'foo'. - imported_modules = set(module_code_builder.module_imports.keys()) - import_from = '.' - for module in imported_modules: - if not module: - continue - module_split = module.split('.') - parent_module = '' # we import submodules in their parent_module - - for submodule_index in range(len(module_split)): - if submodule_index > 0: - parent_module += ('.' + module_split[submodule_index-1] if parent_module - else module_split[submodule_index-1]) - module_code_builder.add_import( - -1, parent_module, import_from, - module_split[submodule_index], module_split[submodule_index]) - - return module_code_builder.build() - - -def get_module(dir_path, relative_to_dir): - """Get module that corresponds to path relative to relative_to_dir. - - Args: - dir_path: Path to directory. - relative_to_dir: Get module relative to this directory. - - Returns: - Name of module that corresponds to the given directory. - """ - dir_path = dir_path[len(relative_to_dir):] - # Convert path separators to '/' for easier parsing below. - dir_path = dir_path.replace(os.sep, '/') - return dir_path.replace('/', '.').strip('.') - - -def get_module_docstring(module_name, package, api_name): - """Get docstring for the given module. - - This method looks for docstring in the following order: - 1. Checks if module has a docstring specified in doc_srcs. - 2. Checks if module has a docstring source module specified - in doc_srcs. If it does, gets docstring from that module. - 3. Checks if module with module_name exists under base package. - If it does, gets docstring from that module. - 4. Returns a default docstring. - - Args: - module_name: module name relative to tensorflow - (excluding 'tensorflow.' prefix) to get a docstring for. - package: Base python package containing python with target tf_export - decorators. - api_name: API you want to generate (e.g. `tensorflow` or `estimator`). - - Returns: - One-line docstring to describe the module. - """ - # Module under base package to get a docstring from. - docstring_module_name = module_name - - doc_sources = doc_srcs.get_doc_sources(api_name) - - if module_name in doc_sources: - docsrc = doc_sources[module_name] - if docsrc.docstring: - return docsrc.docstring - if docsrc.docstring_module_name: - docstring_module_name = docsrc.docstring_module_name - - docstring_module_name = package + '.' + docstring_module_name - if (docstring_module_name in sys.modules and - sys.modules[docstring_module_name].__doc__): - return sys.modules[docstring_module_name].__doc__ - - return 'Public API for tf.%s namespace.' % module_name - - -def create_api_files( - output_files, package, root_init_template, output_dir, api_name): - """Creates __init__.py files for the Python API. - - Args: - output_files: List of __init__.py file paths to create. - Each file must be under api/ directory. - package: Base python package containing python with target tf_export - decorators. - root_init_template: Template for top-level __init__.py file. - "#API IMPORTS PLACEHOLDER" comment in the template file will be replaced - with imports. - output_dir: output API root directory. - api_name: API you want to generate (e.g. `tensorflow` or `estimator`). - - Raises: - ValueError: if an output file is not under api/ directory, - or output_files list is missing a required file. - """ - module_name_to_file_path = {} - for output_file in output_files: - module_name = get_module(os.path.dirname(output_file), output_dir) - module_name_to_file_path[module_name] = os.path.normpath(output_file) - - # Create file for each expected output in genrule. - for module, file_path in module_name_to_file_path.items(): - if not os.path.isdir(os.path.dirname(file_path)): - os.makedirs(os.path.dirname(file_path)) - open(file_path, 'a').close() - - module_text_map = get_api_init_text(package, api_name) - - # Add imports to output files. - missing_output_files = [] - for module, text in module_text_map.items(): - # Make sure genrule output file list is in sync with API exports. - if module not in module_name_to_file_path: - module_file_path = '"%s/__init__.py"' % ( - module.replace('.', '/')) - missing_output_files.append(module_file_path) - continue - contents = '' - if module or not root_init_template: - contents = ( - _GENERATED_FILE_HEADER % - get_module_docstring(module, package, api_name) + - text + _GENERATED_FILE_FOOTER) - else: - # Read base init file - with open(root_init_template, 'r') as root_init_template_file: - contents = root_init_template_file.read() - contents = contents.replace('# API IMPORTS PLACEHOLDER', text) - with open(module_name_to_file_path[module], 'w') as fp: - fp.write(contents) - - if missing_output_files: - raise ValueError( - 'Missing outputs for python_api_gen genrule:\n%s.' - 'Make sure all required outputs are in the ' - 'tensorflow/tools/api/generator/api_gen.bzl file.' % - ',\n'.join(sorted(missing_output_files))) - - -def main(): - parser = argparse.ArgumentParser() - parser.add_argument( - 'outputs', metavar='O', type=str, nargs='+', - help='If a single file is passed in, then we we assume it contains a ' - 'semicolon-separated list of Python files that we expect this script to ' - 'output. If multiple files are passed in, then we assume output files ' - 'are listed directly as arguments.') - parser.add_argument( - '--package', default=_DEFAULT_PACKAGE, type=str, - help='Base package that imports modules containing the target tf_export ' - 'decorators.') - parser.add_argument( - '--root_init_template', default='', type=str, - help='Template for top level __init__.py file. ' - '"#API IMPORTS PLACEHOLDER" comment will be replaced with imports.') - parser.add_argument( - '--apidir', type=str, required=True, - help='Directory where generated output files are placed. ' - 'gendir should be a prefix of apidir. Also, apidir ' - 'should be a prefix of every directory in outputs.') - parser.add_argument( - '--apiname', required=True, type=str, - choices=API_ATTRS.keys(), - help='The API you want to generate.') - - args = parser.parse_args() - - if len(args.outputs) == 1: - # If we only get a single argument, then it must be a file containing - # list of outputs. - with open(args.outputs[0]) as output_list_file: - outputs = [line.strip() for line in output_list_file.read().split(';')] - else: - outputs = args.outputs - - # Populate `sys.modules` with modules containing tf_export(). - importlib.import_module(args.package) - create_api_files(outputs, args.package, args.root_init_template, - args.apidir, args.apiname) - - -if __name__ == '__main__': - main() diff --git a/tensorflow/tools/api/generator/create_python_api_test.py b/tensorflow/tools/api/generator/create_python_api_test.py deleted file mode 100644 index 651ec9d040..0000000000 --- a/tensorflow/tools/api/generator/create_python_api_test.py +++ /dev/null @@ -1,96 +0,0 @@ -# Copyright 2017 The TensorFlow Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# ============================================================================= -"""Tests for create_python_api.""" - -from __future__ import absolute_import -from __future__ import division -from __future__ import print_function - -import imp -import sys - -from tensorflow.python.platform import test -from tensorflow.python.util.tf_export import tf_export -from tensorflow.tools.api.generator import create_python_api - - -@tf_export('test_op', 'test_op1') -def test_op(): - pass - - -@tf_export('TestClass', 'NewTestClass') -class TestClass(object): - pass - - -_TEST_CONSTANT = 5 -_MODULE_NAME = 'tensorflow.python.test_module' - - -class CreatePythonApiTest(test.TestCase): - - def setUp(self): - # Add fake op to a module that has 'tensorflow' in the name. - sys.modules[_MODULE_NAME] = imp.new_module(_MODULE_NAME) - setattr(sys.modules[_MODULE_NAME], 'test_op', test_op) - setattr(sys.modules[_MODULE_NAME], 'TestClass', TestClass) - test_op.__module__ = _MODULE_NAME - TestClass.__module__ = _MODULE_NAME - tf_export('consts._TEST_CONSTANT').export_constant( - _MODULE_NAME, '_TEST_CONSTANT') - - def tearDown(self): - del sys.modules[_MODULE_NAME] - - def testFunctionImportIsAdded(self): - imports = create_python_api.get_api_init_text( - package=create_python_api._DEFAULT_PACKAGE, - api_name='tensorflow') - expected_import = ( - 'from tensorflow.python.test_module ' - 'import test_op as test_op1') - self.assertTrue( - expected_import in str(imports), - msg='%s not in %s' % (expected_import, str(imports))) - - expected_import = ('from tensorflow.python.test_module ' - 'import test_op') - self.assertTrue( - expected_import in str(imports), - msg='%s not in %s' % (expected_import, str(imports))) - - def testClassImportIsAdded(self): - imports = create_python_api.get_api_init_text( - package=create_python_api._DEFAULT_PACKAGE, - api_name='tensorflow') - expected_import = ('from tensorflow.python.test_module ' - 'import TestClass') - self.assertTrue( - 'TestClass' in str(imports), - msg='%s not in %s' % (expected_import, str(imports))) - - def testConstantIsAdded(self): - imports = create_python_api.get_api_init_text( - package=create_python_api._DEFAULT_PACKAGE, - api_name='tensorflow') - expected = ('from tensorflow.python.test_module ' - 'import _TEST_CONSTANT') - self.assertTrue(expected in str(imports), - msg='%s not in %s' % (expected, str(imports))) - - -if __name__ == '__main__': - test.main() diff --git a/tensorflow/tools/api/generator/doc_srcs.py b/tensorflow/tools/api/generator/doc_srcs.py deleted file mode 100644 index ad1988494d..0000000000 --- a/tensorflow/tools/api/generator/doc_srcs.py +++ /dev/null @@ -1,92 +0,0 @@ -# Copyright 2018 The TensorFlow Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# ============================================================================== -"""Specifies sources of doc strings for API modules.""" -from __future__ import absolute_import -from __future__ import division -from __future__ import print_function - -import collections - -from tensorflow.python.util import tf_export - - -# Specifies docstring source for a module. -# Only one of docstring or docstring_module_name should be set. -# * If docstring is set, then we will use this docstring when -# for the module. -# * If docstring_module_name is set, then we will copy the docstring -# from docstring source module. -DocSource = collections.namedtuple( - 'DocSource', ['docstring', 'docstring_module_name']) -# Each attribute of DocSource is optional. -DocSource.__new__.__defaults__ = (None,) * len(DocSource._fields) - -_TENSORFLOW_DOC_SOURCES = { - 'app': DocSource(docstring_module_name='platform.app'), - 'compat': DocSource(docstring_module_name='util.compat'), - 'distributions': DocSource( - docstring_module_name='ops.distributions.distributions'), - 'bitwise': DocSource(docstring_module_name='ops.bitwise_ops'), - 'errors': DocSource(docstring_module_name='framework.errors'), - 'gfile': DocSource(docstring_module_name='platform.gfile'), - 'graph_util': DocSource(docstring_module_name='framework.graph_util'), - 'image': DocSource(docstring_module_name='ops.image_ops'), - 'keras.estimator': DocSource(docstring_module_name='keras.estimator'), - 'linalg': DocSource(docstring_module_name='ops.linalg_ops'), - 'logging': DocSource(docstring_module_name='ops.logging_ops'), - 'losses': DocSource(docstring_module_name='ops.losses.losses'), - 'manip': DocSource(docstring_module_name='ops.manip_ops'), - 'math': DocSource(docstring_module_name='ops.math_ops'), - 'metrics': DocSource(docstring_module_name='ops.metrics'), - 'nn': DocSource(docstring_module_name='ops.nn_ops'), - 'nn.rnn_cell': DocSource(docstring_module_name='ops.rnn_cell'), - 'python_io': DocSource(docstring_module_name='lib.io.python_io'), - 'resource_loader': DocSource( - docstring_module_name='platform.resource_loader'), - 'sets': DocSource(docstring_module_name='ops.sets'), - 'sparse': DocSource(docstring_module_name='ops.sparse_ops'), - 'spectral': DocSource(docstring_module_name='ops.spectral_ops'), - 'strings': DocSource(docstring_module_name='ops.string_ops'), - 'sysconfig': DocSource(docstring_module_name='platform.sysconfig'), - 'test': DocSource(docstring_module_name='platform.test'), - 'train': DocSource(docstring_module_name='training.training'), - 'train.queue_runner': DocSource( - docstring_module_name='training.queue_runner'), -} - -_ESTIMATOR_DOC_SOURCES = { - 'estimator': DocSource( - docstring_module_name='estimator_lib'), - 'estimator.export': DocSource( - docstring_module_name='export.export_lib'), - 'estimator.inputs': DocSource( - docstring_module_name='inputs.inputs'), -} - - -def get_doc_sources(api_name): - """Get a map from module to a DocSource object. - - Args: - api_name: API you want to generate (e.g. `tensorflow` or `estimator`). - - Returns: - Map from module name to DocSource object. - """ - if api_name == tf_export.TENSORFLOW_API_NAME: - return _TENSORFLOW_DOC_SOURCES - if api_name == tf_export.ESTIMATOR_API_NAME: - return _ESTIMATOR_DOC_SOURCES - return {} diff --git a/tensorflow/tools/api/generator/doc_srcs_test.py b/tensorflow/tools/api/generator/doc_srcs_test.py deleted file mode 100644 index dbff904abe..0000000000 --- a/tensorflow/tools/api/generator/doc_srcs_test.py +++ /dev/null @@ -1,83 +0,0 @@ -# Copyright 2018 The TensorFlow Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# ============================================================================= -"""Tests for tensorflow.tools.api.generator.doc_srcs.""" - -from __future__ import absolute_import -from __future__ import division -from __future__ import print_function - -import argparse -import importlib -import sys - -from tensorflow.python.platform import test -from tensorflow.tools.api.generator import doc_srcs - - -FLAGS = None - - -class DocSrcsTest(test.TestCase): - - def testModulesAreValidAPIModules(self): - for module_name in doc_srcs.get_doc_sources(FLAGS.api_name): - # Convert module_name to corresponding __init__.py file path. - file_path = module_name.replace('.', '/') - if file_path: - file_path += '/' - file_path += '__init__.py' - - self.assertIn( - file_path, FLAGS.outputs, - msg='%s is not a valid API module' % module_name) - - def testHaveDocstringOrDocstringModule(self): - for module_name, docsrc in doc_srcs.get_doc_sources(FLAGS.api_name).items(): - self.assertFalse( - docsrc.docstring and docsrc.docstring_module_name, - msg=('%s contains DocSource has both a docstring and a ' - 'docstring_module_name. Only one of "docstring" or ' - '"docstring_module_name" should be set.') % (module_name)) - - def testDocstringModulesAreValidModules(self): - for _, docsrc in doc_srcs.get_doc_sources(FLAGS.api_name).items(): - if docsrc.docstring_module_name: - doc_module_name = '.'.join([ - FLAGS.package, docsrc.docstring_module_name]) - self.assertIn( - doc_module_name, sys.modules, - msg=('docsources_module %s is not a valid module under %s.' % - (docsrc.docstring_module_name, FLAGS.package))) - - -if __name__ == '__main__': - parser = argparse.ArgumentParser() - parser.add_argument( - 'outputs', metavar='O', type=str, nargs='+', - help='create_python_api output files.') - parser.add_argument( - '--package', type=str, - help='Base package that imports modules containing the target tf_export ' - 'decorators.') - parser.add_argument( - '--api_name', type=str, - help='API name: tensorflow or estimator') - FLAGS, unparsed = parser.parse_known_args() - - importlib.import_module(FLAGS.package) - - # Now update argv, so that unittest library does not get confused. - sys.argv = [sys.argv[0]] + unparsed - test.main() diff --git a/tensorflow/tools/api/golden/BUILD b/tensorflow/tools/api/golden/BUILD index ebdf42df2c..1f041ef193 100644 --- a/tensorflow/tools/api/golden/BUILD +++ b/tensorflow/tools/api/golden/BUILD @@ -7,6 +7,11 @@ package( licenses(["notice"]) # Apache 2.0 filegroup( - name = "api_golden", - srcs = glob(["*.pbtxt"]), + name = "api_golden_v1", + srcs = glob(["v1/*.pbtxt"]), +) + +filegroup( + name = "api_golden_v2", + srcs = glob(["v1/*.pbtxt"]), ) diff --git a/tensorflow/tools/api/golden/tensorflow.-config-proto.-experimental.pbtxt b/tensorflow/tools/api/golden/tensorflow.-config-proto.-experimental.pbtxt index 9e09a8d48e..eb41deee13 100644 --- a/tensorflow/tools/api/golden/tensorflow.-config-proto.-experimental.pbtxt +++ b/tensorflow/tools/api/golden/tensorflow.-config-proto.-experimental.pbtxt @@ -8,5 +8,17 @@ tf_proto { label: LABEL_OPTIONAL type: TYPE_STRING } + field { + name: "client_handles_error_formatting" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "executor_type" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_STRING + } } } diff --git a/tensorflow/tools/api/golden/tensorflow.-config-proto.pbtxt b/tensorflow/tools/api/golden/tensorflow.-config-proto.pbtxt index 4af4ed70ef..e565b903d2 100644 --- a/tensorflow/tools/api/golden/tensorflow.-config-proto.pbtxt +++ b/tensorflow/tools/api/golden/tensorflow.-config-proto.pbtxt @@ -131,6 +131,18 @@ tf_proto { label: LABEL_OPTIONAL type: TYPE_STRING } + field { + name: "client_handles_error_formatting" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "executor_type" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_STRING + } } } } diff --git a/tensorflow/tools/api/golden/tensorflow.data.-iterator.pbtxt b/tensorflow/tools/api/golden/tensorflow.data.-iterator.pbtxt index 1f9aeb6ad6..4f0147a523 100644 --- a/tensorflow/tools/api/golden/tensorflow.data.-iterator.pbtxt +++ b/tensorflow/tools/api/golden/tensorflow.data.-iterator.pbtxt @@ -1,6 +1,7 @@ path: "tensorflow.data.Iterator" tf_class { is_instance: "<class \'tensorflow.python.data.ops.iterator_ops.Iterator\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" is_instance: "<type \'object\'>" member { name: "initializer" diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-boosted-trees-classifier.pbtxt b/tensorflow/tools/api/golden/tensorflow.estimator.-boosted-trees-classifier.pbtxt index 099838fa65..c23b04b4ef 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-boosted-trees-classifier.pbtxt +++ b/tensorflow/tools/api/golden/tensorflow.estimator.-boosted-trees-classifier.pbtxt @@ -21,7 +21,7 @@ tf_class { } member_method { name: "__init__" - argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\'], varargs=None, keywords=None, defaults=[\'None\', \'<object object instance>\', \'None\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\'], " + argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\', \'center_bias\', \'pruning_mode\'], varargs=None, keywords=None, defaults=[\'None\', \'<object object instance>\', \'None\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'False\', \'none\'], " } member_method { name: "eval_dir" diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-boosted-trees-regressor.pbtxt b/tensorflow/tools/api/golden/tensorflow.estimator.-boosted-trees-regressor.pbtxt index 87bd19a23a..6878d28fff 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-boosted-trees-regressor.pbtxt +++ b/tensorflow/tools/api/golden/tensorflow.estimator.-boosted-trees-regressor.pbtxt @@ -21,7 +21,7 @@ tf_class { } member_method { name: "__init__" - argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'label_dimension\', \'weight_column\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\'], varargs=None, keywords=None, defaults=[\'None\', \'<object object instance>\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\'], " + argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'label_dimension\', \'weight_column\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\', \'center_bias\', \'pruning_mode\'], varargs=None, keywords=None, defaults=[\'None\', \'<object object instance>\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'False\', \'none\'], " } member_method { name: "eval_dir" diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-run-config.pbtxt b/tensorflow/tools/api/golden/tensorflow.estimator.-run-config.pbtxt index c8da55d802..bf1f94b6ae 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-run-config.pbtxt +++ b/tensorflow/tools/api/golden/tensorflow.estimator.-run-config.pbtxt @@ -11,6 +11,10 @@ tf_class { mtype: "<type \'property\'>" } member { + name: "eval_distribute" + mtype: "<type \'property\'>" + } + member { name: "evaluation_master" mtype: "<type \'property\'>" } @@ -51,6 +55,10 @@ tf_class { mtype: "<type \'property\'>" } member { + name: "protocol" + mtype: "<type \'property\'>" + } + member { name: "save_checkpoints_secs" mtype: "<type \'property\'>" } @@ -88,7 +96,7 @@ tf_class { } member_method { name: "__init__" - argspec: "args=[\'self\', \'model_dir\', \'tf_random_seed\', \'save_summary_steps\', \'save_checkpoints_steps\', \'save_checkpoints_secs\', \'session_config\', \'keep_checkpoint_max\', \'keep_checkpoint_every_n_hours\', \'log_step_count_steps\', \'train_distribute\', \'device_fn\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'100\', \'<object object instance>\', \'<object object instance>\', \'None\', \'5\', \'10000\', \'100\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'model_dir\', \'tf_random_seed\', \'save_summary_steps\', \'save_checkpoints_steps\', \'save_checkpoints_secs\', \'session_config\', \'keep_checkpoint_max\', \'keep_checkpoint_every_n_hours\', \'log_step_count_steps\', \'train_distribute\', \'device_fn\', \'protocol\', \'eval_distribute\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'100\', \'<object object instance>\', \'<object object instance>\', \'None\', \'5\', \'10000\', \'100\', \'None\', \'None\', \'None\', \'None\'], " } member_method { name: "replace" diff --git a/tensorflow/tools/api/golden/tensorflow.image.pbtxt b/tensorflow/tools/api/golden/tensorflow.image.pbtxt index e89b4dbffd..5c46dc5ee7 100644 --- a/tensorflow/tools/api/golden/tensorflow.image.pbtxt +++ b/tensorflow/tools/api/golden/tensorflow.image.pbtxt @@ -121,6 +121,14 @@ tf_module { argspec: "args=[\'boxes\', \'scores\', \'max_output_size\', \'iou_threshold\', \'score_threshold\', \'name\'], varargs=None, keywords=None, defaults=[\'0.5\', \'-inf\', \'None\'], " } member_method { + name: "non_max_suppression_overlaps" + argspec: "args=[\'overlaps\', \'scores\', \'max_output_size\', \'overlap_threshold\', \'score_threshold\', \'name\'], varargs=None, keywords=None, defaults=[\'0.5\', \'-inf\', \'None\'], " + } + member_method { + name: "non_max_suppression_padded" + argspec: "args=[\'boxes\', \'scores\', \'max_output_size\', \'iou_threshold\', \'score_threshold\', \'pad_to_max_output_size\', \'name\'], varargs=None, keywords=None, defaults=[\'0.5\', \'-inf\', \'False\', \'None\'], " + } + member_method { name: "pad_to_bounding_box" argspec: "args=[\'image\', \'offset_height\', \'offset_width\', \'target_height\', \'target_width\'], varargs=None, keywords=None, defaults=None" } diff --git a/tensorflow/tools/api/golden/tensorflow.keras.-model.pbtxt b/tensorflow/tools/api/golden/tensorflow.keras.-model.pbtxt index 11cdd6f0b5..e579fe6a1a 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.-model.pbtxt +++ b/tensorflow/tools/api/golden/tensorflow.keras.-model.pbtxt @@ -119,7 +119,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" @@ -135,7 +135,7 @@ tf_class { } member_method { name: "compile" - argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\', \'distribute\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " } member_method { name: "compute_mask" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.-sequential.pbtxt b/tensorflow/tools/api/golden/tensorflow.keras.-sequential.pbtxt index 4afad3e4df..6f05cdd093 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.-sequential.pbtxt +++ b/tensorflow/tools/api/golden/tensorflow.keras.-sequential.pbtxt @@ -124,7 +124,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" @@ -140,7 +140,7 @@ tf_class { } member_method { name: "compile" - argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\', \'distribute\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " } member_method { name: "compute_mask" @@ -267,6 +267,10 @@ tf_class { argspec: "args=[\'self\', \'line_length\', \'positions\', \'print_fn\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " } member_method { + name: "symbolic_set_inputs" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { name: "test_on_batch" argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " } diff --git a/tensorflow/tools/api/golden/tensorflow.keras.activations.pbtxt b/tensorflow/tools/api/golden/tensorflow.keras.activations.pbtxt index 2cd83baf65..2e9de9ebb2 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.activations.pbtxt +++ b/tensorflow/tools/api/golden/tensorflow.keras.activations.pbtxt @@ -22,7 +22,7 @@ tf_module { } member_method { name: "relu" - argspec: "args=[\'x\', \'alpha\', \'max_value\'], varargs=None, keywords=None, defaults=[\'0.0\', \'None\'], " + argspec: "args=[\'x\', \'alpha\', \'max_value\', \'threshold\'], varargs=None, keywords=None, defaults=[\'0.0\', \'None\', \'0\'], " } member_method { name: "selu" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.models.-model.pbtxt b/tensorflow/tools/api/golden/tensorflow.keras.models.-model.pbtxt index 62aa929d32..56914e1746 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.models.-model.pbtxt +++ b/tensorflow/tools/api/golden/tensorflow.keras.models.-model.pbtxt @@ -119,7 +119,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" @@ -135,7 +135,7 @@ tf_class { } member_method { name: "compile" - argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\', \'distribute\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " } member_method { name: "compute_mask" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.models.-sequential.pbtxt b/tensorflow/tools/api/golden/tensorflow.keras.models.-sequential.pbtxt index 93ecbbce9b..4c1c54001d 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.models.-sequential.pbtxt +++ b/tensorflow/tools/api/golden/tensorflow.keras.models.-sequential.pbtxt @@ -124,7 +124,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" @@ -140,7 +140,7 @@ tf_class { } member_method { name: "compile" - argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\', \'distribute\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " } member_method { name: "compute_mask" @@ -267,6 +267,10 @@ tf_class { argspec: "args=[\'self\', \'line_length\', \'positions\', \'print_fn\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " } member_method { + name: "symbolic_set_inputs" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { name: "test_on_batch" argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " } diff --git a/tensorflow/tools/api/golden/tensorflow.-aggregation-method.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-aggregation-method.pbtxt index f79029d3fe..f79029d3fe 100644 --- a/tensorflow/tools/api/golden/tensorflow.-aggregation-method.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-aggregation-method.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-attr-value.-list-value.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-attr-value.-list-value.pbtxt index f1dffd5952..f1dffd5952 100644 --- a/tensorflow/tools/api/golden/tensorflow.-attr-value.-list-value.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-attr-value.-list-value.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-attr-value.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-attr-value.pbtxt index 6ccd64f428..6ccd64f428 100644 --- a/tensorflow/tools/api/golden/tensorflow.-attr-value.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-attr-value.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-conditional-accumulator-base.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-conditional-accumulator-base.pbtxt index c9a32c16b3..c9a32c16b3 100644 --- a/tensorflow/tools/api/golden/tensorflow.-conditional-accumulator-base.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-conditional-accumulator-base.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-conditional-accumulator.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-conditional-accumulator.pbtxt index d23b3bd0ca..d23b3bd0ca 100644 --- a/tensorflow/tools/api/golden/tensorflow.-conditional-accumulator.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-conditional-accumulator.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-config-proto.-device-count-entry.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-config-proto.-device-count-entry.pbtxt index d9b1426828..d9b1426828 100644 --- a/tensorflow/tools/api/golden/tensorflow.-config-proto.-device-count-entry.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-config-proto.-device-count-entry.pbtxt diff --git a/tensorflow/tools/api/golden/v1/tensorflow.-config-proto.-experimental.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-config-proto.-experimental.pbtxt new file mode 100644 index 0000000000..eb41deee13 --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.-config-proto.-experimental.pbtxt @@ -0,0 +1,24 @@ +path: "tensorflow.ConfigProto.Experimental" +tf_proto { + descriptor { + name: "Experimental" + field { + name: "collective_group_leader" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "client_handles_error_formatting" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "executor_type" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + } +} diff --git a/tensorflow/tools/api/golden/v1/tensorflow.-config-proto.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-config-proto.pbtxt new file mode 100644 index 0000000000..e565b903d2 --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.-config-proto.pbtxt @@ -0,0 +1,148 @@ +path: "tensorflow.ConfigProto" +tf_proto { + descriptor { + name: "ConfigProto" + field { + name: "device_count" + number: 1 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.ConfigProto.DeviceCountEntry" + } + field { + name: "intra_op_parallelism_threads" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "inter_op_parallelism_threads" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "use_per_session_threads" + number: 9 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "session_inter_op_thread_pool" + number: 12 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.ThreadPoolOptionProto" + } + field { + name: "placement_period" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "device_filters" + number: 4 + label: LABEL_REPEATED + type: TYPE_STRING + } + field { + name: "gpu_options" + number: 6 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.GPUOptions" + } + field { + name: "allow_soft_placement" + number: 7 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "log_device_placement" + number: 8 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "graph_options" + number: 10 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.GraphOptions" + } + field { + name: "operation_timeout_in_ms" + number: 11 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "rpc_options" + number: 13 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.RPCOptions" + } + field { + name: "cluster_def" + number: 14 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.ClusterDef" + } + field { + name: "isolate_session_state" + number: 15 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "experimental" + number: 16 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.ConfigProto.Experimental" + } + nested_type { + name: "DeviceCountEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + options { + map_entry: true + } + } + nested_type { + name: "Experimental" + field { + name: "collective_group_leader" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "client_handles_error_formatting" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "executor_type" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + } + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.-d-type.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-d-type.pbtxt index 0b5b88bba8..0b5b88bba8 100644 --- a/tensorflow/tools/api/golden/tensorflow.-d-type.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-d-type.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-device-spec.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-device-spec.pbtxt index 92e535c341..92e535c341 100644 --- a/tensorflow/tools/api/golden/tensorflow.-device-spec.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-device-spec.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-dimension.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-dimension.pbtxt index a9ab27719b..a9ab27719b 100644 --- a/tensorflow/tools/api/golden/tensorflow.-dimension.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-dimension.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-event.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-event.pbtxt index 3b75a1735b..3b75a1735b 100644 --- a/tensorflow/tools/api/golden/tensorflow.-event.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-event.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-f-i-f-o-queue.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-f-i-f-o-queue.pbtxt index a095616c00..a095616c00 100644 --- a/tensorflow/tools/api/golden/tensorflow.-f-i-f-o-queue.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-f-i-f-o-queue.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-fixed-len-feature.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-fixed-len-feature.pbtxt index 6933814a7b..6933814a7b 100644 --- a/tensorflow/tools/api/golden/tensorflow.-fixed-len-feature.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-fixed-len-feature.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-fixed-len-sequence-feature.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-fixed-len-sequence-feature.pbtxt index c538787951..c538787951 100644 --- a/tensorflow/tools/api/golden/tensorflow.-fixed-len-sequence-feature.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-fixed-len-sequence-feature.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-fixed-length-record-reader.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-fixed-length-record-reader.pbtxt index 260c796fd6..260c796fd6 100644 --- a/tensorflow/tools/api/golden/tensorflow.-fixed-length-record-reader.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-fixed-length-record-reader.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-g-p-u-options.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-g-p-u-options.pbtxt index f819b174c0..353e63127d 100644 --- a/tensorflow/tools/api/golden/tensorflow.-g-p-u-options.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-g-p-u-options.pbtxt @@ -72,6 +72,12 @@ tf_proto { label: LABEL_OPTIONAL type: TYPE_BOOL } + field { + name: "num_dev_to_dev_copy_streams" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } nested_type { name: "VirtualDevices" field { diff --git a/tensorflow/tools/api/golden/tensorflow.-gradient-tape.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-gradient-tape.pbtxt index cbf655498c..cbf655498c 100644 --- a/tensorflow/tools/api/golden/tensorflow.-gradient-tape.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-gradient-tape.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-graph-def.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-graph-def.pbtxt index 19eccff03d..19eccff03d 100644 --- a/tensorflow/tools/api/golden/tensorflow.-graph-def.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-graph-def.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-graph-keys.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-graph-keys.pbtxt index ffe4790933..ffe4790933 100644 --- a/tensorflow/tools/api/golden/tensorflow.-graph-keys.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-graph-keys.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-graph-options.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-graph-options.pbtxt index a9f99bc171..a9f99bc171 100644 --- a/tensorflow/tools/api/golden/tensorflow.-graph-options.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-graph-options.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-graph.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-graph.pbtxt index cdaeb55e30..cdaeb55e30 100644 --- a/tensorflow/tools/api/golden/tensorflow.-graph.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-graph.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-histogram-proto.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-histogram-proto.pbtxt index d4402f330b..d4402f330b 100644 --- a/tensorflow/tools/api/golden/tensorflow.-histogram-proto.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-histogram-proto.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-identity-reader.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-identity-reader.pbtxt index 2eda320d63..2eda320d63 100644 --- a/tensorflow/tools/api/golden/tensorflow.-identity-reader.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-identity-reader.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-indexed-slices.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-indexed-slices.pbtxt index fee84d8530..fee84d8530 100644 --- a/tensorflow/tools/api/golden/tensorflow.-indexed-slices.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-indexed-slices.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-interactive-session.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-interactive-session.pbtxt index 0a3b81bf82..0a3b81bf82 100644 --- a/tensorflow/tools/api/golden/tensorflow.-interactive-session.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-interactive-session.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-l-m-d-b-reader.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-l-m-d-b-reader.pbtxt index f9b7e9bbca..f9b7e9bbca 100644 --- a/tensorflow/tools/api/golden/tensorflow.-l-m-d-b-reader.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-l-m-d-b-reader.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-log-message.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-log-message.pbtxt index 5023aa96bf..5023aa96bf 100644 --- a/tensorflow/tools/api/golden/tensorflow.-log-message.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-log-message.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-meta-graph-def.-collection-def-entry.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-meta-graph-def.-collection-def-entry.pbtxt index 0ba09bec4b..0ba09bec4b 100644 --- a/tensorflow/tools/api/golden/tensorflow.-meta-graph-def.-collection-def-entry.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-meta-graph-def.-collection-def-entry.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-meta-graph-def.-meta-info-def.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-meta-graph-def.-meta-info-def.pbtxt index 41c62a407b..41c62a407b 100644 --- a/tensorflow/tools/api/golden/tensorflow.-meta-graph-def.-meta-info-def.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-meta-graph-def.-meta-info-def.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-meta-graph-def.-signature-def-entry.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-meta-graph-def.-signature-def-entry.pbtxt index 73dc414a77..73dc414a77 100644 --- a/tensorflow/tools/api/golden/tensorflow.-meta-graph-def.-signature-def-entry.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-meta-graph-def.-signature-def-entry.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-meta-graph-def.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-meta-graph-def.pbtxt index d71c2358c9..d71c2358c9 100644 --- a/tensorflow/tools/api/golden/tensorflow.-meta-graph-def.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-meta-graph-def.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-name-attr-list.-attr-entry.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-name-attr-list.-attr-entry.pbtxt index b119b20877..b119b20877 100644 --- a/tensorflow/tools/api/golden/tensorflow.-name-attr-list.-attr-entry.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-name-attr-list.-attr-entry.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-name-attr-list.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-name-attr-list.pbtxt index fcdb411ffc..fcdb411ffc 100644 --- a/tensorflow/tools/api/golden/tensorflow.-name-attr-list.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-name-attr-list.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-node-def.-attr-entry.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-node-def.-attr-entry.pbtxt index 622e4c3d0f..622e4c3d0f 100644 --- a/tensorflow/tools/api/golden/tensorflow.-node-def.-attr-entry.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-node-def.-attr-entry.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-node-def.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-node-def.pbtxt index 646fa8abb9..646fa8abb9 100644 --- a/tensorflow/tools/api/golden/tensorflow.-node-def.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-node-def.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-op-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-op-error.pbtxt index 7e59615534..7e59615534 100644 --- a/tensorflow/tools/api/golden/tensorflow.-op-error.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-op-error.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-operation.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-operation.pbtxt index 64240f7069..64240f7069 100644 --- a/tensorflow/tools/api/golden/tensorflow.-operation.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-operation.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-optimizer-options.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-optimizer-options.pbtxt index 3ccf9d459b..3ccf9d459b 100644 --- a/tensorflow/tools/api/golden/tensorflow.-optimizer-options.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-optimizer-options.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-padding-f-i-f-o-queue.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-padding-f-i-f-o-queue.pbtxt index 8fed133561..8fed133561 100644 --- a/tensorflow/tools/api/golden/tensorflow.-padding-f-i-f-o-queue.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-padding-f-i-f-o-queue.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-priority-queue.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-priority-queue.pbtxt index ebb017e81b..ebb017e81b 100644 --- a/tensorflow/tools/api/golden/tensorflow.-priority-queue.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-priority-queue.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-queue-base.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-queue-base.pbtxt index 761f90989f..761f90989f 100644 --- a/tensorflow/tools/api/golden/tensorflow.-queue-base.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-queue-base.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-random-shuffle-queue.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-random-shuffle-queue.pbtxt index f3ca841393..f3ca841393 100644 --- a/tensorflow/tools/api/golden/tensorflow.-random-shuffle-queue.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-random-shuffle-queue.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-reader-base.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-reader-base.pbtxt index f6a3ce76a1..f6a3ce76a1 100644 --- a/tensorflow/tools/api/golden/tensorflow.-reader-base.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-reader-base.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-register-gradient.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-register-gradient.pbtxt index 4d6e4137d1..4d6e4137d1 100644 --- a/tensorflow/tools/api/golden/tensorflow.-register-gradient.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-register-gradient.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-run-metadata.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-run-metadata.pbtxt index 1287940326..1287940326 100644 --- a/tensorflow/tools/api/golden/tensorflow.-run-metadata.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-run-metadata.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-run-options.-experimental.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-run-options.-experimental.pbtxt index 537e73aa89..537e73aa89 100644 --- a/tensorflow/tools/api/golden/tensorflow.-run-options.-experimental.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-run-options.-experimental.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-run-options.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-run-options.pbtxt index cec04a2bf0..cec04a2bf0 100644 --- a/tensorflow/tools/api/golden/tensorflow.-run-options.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-run-options.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-session-log.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-session-log.pbtxt index 259f241874..259f241874 100644 --- a/tensorflow/tools/api/golden/tensorflow.-session-log.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-session-log.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-session.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-session.pbtxt index 1d6b037f9c..1d6b037f9c 100644 --- a/tensorflow/tools/api/golden/tensorflow.-session.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-session.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-sparse-conditional-accumulator.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-sparse-conditional-accumulator.pbtxt index 2260279ad2..2260279ad2 100644 --- a/tensorflow/tools/api/golden/tensorflow.-sparse-conditional-accumulator.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-sparse-conditional-accumulator.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-sparse-feature.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-sparse-feature.pbtxt index d875394fb5..d875394fb5 100644 --- a/tensorflow/tools/api/golden/tensorflow.-sparse-feature.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-sparse-feature.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-sparse-tensor-value.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-sparse-tensor-value.pbtxt index d33fd4d5d7..d33fd4d5d7 100644 --- a/tensorflow/tools/api/golden/tensorflow.-sparse-tensor-value.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-sparse-tensor-value.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-sparse-tensor.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-sparse-tensor.pbtxt index eac236d498..eac236d498 100644 --- a/tensorflow/tools/api/golden/tensorflow.-sparse-tensor.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-sparse-tensor.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-summary-metadata.-plugin-data.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-summary-metadata.-plugin-data.pbtxt index a66b74b315..a66b74b315 100644 --- a/tensorflow/tools/api/golden/tensorflow.-summary-metadata.-plugin-data.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-summary-metadata.-plugin-data.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-summary-metadata.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-summary-metadata.pbtxt index c02575b962..c02575b962 100644 --- a/tensorflow/tools/api/golden/tensorflow.-summary-metadata.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-summary-metadata.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-summary.-audio.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-summary.-audio.pbtxt index 94f712073e..94f712073e 100644 --- a/tensorflow/tools/api/golden/tensorflow.-summary.-audio.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-summary.-audio.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-summary.-image.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-summary.-image.pbtxt index fc1acb483b..fc1acb483b 100644 --- a/tensorflow/tools/api/golden/tensorflow.-summary.-image.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-summary.-image.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-summary.-value.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-summary.-value.pbtxt index feb84b6ee9..feb84b6ee9 100644 --- a/tensorflow/tools/api/golden/tensorflow.-summary.-value.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-summary.-value.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-summary.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-summary.pbtxt index b2bdff7171..b2bdff7171 100644 --- a/tensorflow/tools/api/golden/tensorflow.-summary.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-summary.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-t-f-record-reader.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-t-f-record-reader.pbtxt index cdf7937391..cdf7937391 100644 --- a/tensorflow/tools/api/golden/tensorflow.-t-f-record-reader.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-t-f-record-reader.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-tensor-array.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-tensor-array.pbtxt index ed088c41ed..ed088c41ed 100644 --- a/tensorflow/tools/api/golden/tensorflow.-tensor-array.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-tensor-array.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-tensor-info.-coo-sparse.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-tensor-info.-coo-sparse.pbtxt index 0064c8460c..0064c8460c 100644 --- a/tensorflow/tools/api/golden/tensorflow.-tensor-info.-coo-sparse.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-tensor-info.-coo-sparse.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-tensor-info.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-tensor-info.pbtxt index 63566c808e..63566c808e 100644 --- a/tensorflow/tools/api/golden/tensorflow.-tensor-info.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-tensor-info.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-tensor-shape.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-tensor-shape.pbtxt index 8e3598fb24..8e3598fb24 100644 --- a/tensorflow/tools/api/golden/tensorflow.-tensor-shape.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-tensor-shape.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-tensor.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-tensor.pbtxt index 38d19bb537..38d19bb537 100644 --- a/tensorflow/tools/api/golden/tensorflow.-tensor.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-tensor.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-text-line-reader.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-text-line-reader.pbtxt index e9779f0762..e9779f0762 100644 --- a/tensorflow/tools/api/golden/tensorflow.-text-line-reader.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-text-line-reader.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-var-len-feature.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-var-len-feature.pbtxt index 54b66f43f8..54b66f43f8 100644 --- a/tensorflow/tools/api/golden/tensorflow.-var-len-feature.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-var-len-feature.pbtxt diff --git a/tensorflow/tools/api/golden/v1/tensorflow.-variable-aggregation.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-variable-aggregation.pbtxt new file mode 100644 index 0000000000..36b534af36 --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.-variable-aggregation.pbtxt @@ -0,0 +1,16 @@ +path: "tensorflow.VariableAggregation" +tf_class { + is_instance: "<enum \'VariableAggregation\'>" + member { + name: "MEAN" + mtype: "<enum \'VariableAggregation\'>" + } + member { + name: "NONE" + mtype: "<enum \'VariableAggregation\'>" + } + member { + name: "SUM" + mtype: "<enum \'VariableAggregation\'>" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.-variable-scope.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-variable-scope.pbtxt index 8e539069da..c13eb7b8bb 100644 --- a/tensorflow/tools/api/golden/tensorflow.-variable-scope.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-variable-scope.pbtxt @@ -56,7 +56,7 @@ tf_class { } member_method { name: "get_variable" - argspec: "args=[\'self\', \'var_store\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'reuse\', \'trainable\', \'collections\', \'caching_device\', \'partitioner\', \'validate_shape\', \'use_resource\', \'custom_getter\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'var_store\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'reuse\', \'trainable\', \'collections\', \'caching_device\', \'partitioner\', \'validate_shape\', \'use_resource\', \'custom_getter\', \'constraint\', \'synchronization\', \'aggregation\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], " } member_method { name: "global_variables" diff --git a/tensorflow/tools/api/golden/v1/tensorflow.-variable-synchronization.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-variable-synchronization.pbtxt new file mode 100644 index 0000000000..7589bb2888 --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.-variable-synchronization.pbtxt @@ -0,0 +1,20 @@ +path: "tensorflow.VariableSynchronization" +tf_class { + is_instance: "<enum \'VariableSynchronization\'>" + member { + name: "AUTO" + mtype: "<enum \'VariableSynchronization\'>" + } + member { + name: "NONE" + mtype: "<enum \'VariableSynchronization\'>" + } + member { + name: "ON_READ" + mtype: "<enum \'VariableSynchronization\'>" + } + member { + name: "ON_WRITE" + mtype: "<enum \'VariableSynchronization\'>" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.-variable.-save-slice-info.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-variable.-save-slice-info.pbtxt index ac3ccd468b..ac3ccd468b 100644 --- a/tensorflow/tools/api/golden/tensorflow.-variable.-save-slice-info.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-variable.-save-slice-info.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.-variable.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-variable.pbtxt index 23b552cc38..e841c4ad89 100644 --- a/tensorflow/tools/api/golden/tensorflow.-variable.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-variable.pbtxt @@ -49,7 +49,7 @@ tf_class { } member_method { name: "__init__" - argspec: "args=[\'self\', \'initial_value\', \'trainable\', \'collections\', \'validate_shape\', \'caching_device\', \'name\', \'variable_def\', \'dtype\', \'expected_shape\', \'import_scope\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'initial_value\', \'trainable\', \'collections\', \'validate_shape\', \'caching_device\', \'name\', \'variable_def\', \'dtype\', \'expected_shape\', \'import_scope\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], " } member_method { name: "assign" diff --git a/tensorflow/tools/api/golden/tensorflow.-whole-file-reader.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.-whole-file-reader.pbtxt index 4ac759891c..4ac759891c 100644 --- a/tensorflow/tools/api/golden/tensorflow.-whole-file-reader.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.-whole-file-reader.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.app.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.app.pbtxt index 85044a8987..85044a8987 100644 --- a/tensorflow/tools/api/golden/tensorflow.app.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.app.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.bitwise.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.bitwise.pbtxt index 01cbd55c5d..01cbd55c5d 100644 --- a/tensorflow/tools/api/golden/tensorflow.bitwise.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.bitwise.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.compat.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.compat.pbtxt index bab480ff9b..f1d760603e 100644 --- a/tensorflow/tools/api/golden/tensorflow.compat.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.compat.pbtxt @@ -33,6 +33,14 @@ tf_module { argspec: "args=[\'bytes_or_text\', \'encoding\'], varargs=None, keywords=None, defaults=[\'utf-8\'], " } member_method { + name: "forward_compatibility_horizon" + argspec: "args=[\'year\', \'month\', \'day\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "forward_compatible" + argspec: "args=[\'year\', \'month\', \'day\'], varargs=None, keywords=None, defaults=None" + } + member_method { name: "path_to_str" argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=None" } diff --git a/tensorflow/tools/api/golden/tensorflow.constant_initializer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.constant_initializer.pbtxt index 00ec669b16..00ec669b16 100644 --- a/tensorflow/tools/api/golden/tensorflow.constant_initializer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.constant_initializer.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.data.-dataset.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.data.-dataset.__metaclass__.pbtxt index af08c88d33..af08c88d33 100644 --- a/tensorflow/tools/api/golden/tensorflow.data.-dataset.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.data.-dataset.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.data.-dataset.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.data.-dataset.pbtxt index 834f0954d5..834f0954d5 100644 --- a/tensorflow/tools/api/golden/tensorflow.data.-dataset.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.data.-dataset.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.data.-fixed-length-record-dataset.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.data.-fixed-length-record-dataset.__metaclass__.pbtxt index f384323fc8..f384323fc8 100644 --- a/tensorflow/tools/api/golden/tensorflow.data.-fixed-length-record-dataset.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.data.-fixed-length-record-dataset.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.data.-fixed-length-record-dataset.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.data.-fixed-length-record-dataset.pbtxt index 4d854a4cee..4d854a4cee 100644 --- a/tensorflow/tools/api/golden/tensorflow.data.-fixed-length-record-dataset.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.data.-fixed-length-record-dataset.pbtxt diff --git a/tensorflow/tools/api/golden/v1/tensorflow.data.-iterator.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.data.-iterator.pbtxt new file mode 100644 index 0000000000..4f0147a523 --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.data.-iterator.pbtxt @@ -0,0 +1,46 @@ +path: "tensorflow.data.Iterator" +tf_class { + is_instance: "<class \'tensorflow.python.data.ops.iterator_ops.Iterator\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "initializer" + mtype: "<type \'property\'>" + } + member { + name: "output_classes" + mtype: "<type \'property\'>" + } + member { + name: "output_shapes" + mtype: "<type \'property\'>" + } + member { + name: "output_types" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'iterator_resource\', \'initializer\', \'output_types\', \'output_shapes\', \'output_classes\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_string_handle" + argspec: "args=[\'string_handle\', \'output_types\', \'output_shapes\', \'output_classes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "from_structure" + argspec: "args=[\'output_types\', \'output_shapes\', \'shared_name\', \'output_classes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "get_next" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "make_initializer" + argspec: "args=[\'self\', \'dataset\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "string_handle" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.data.-t-f-record-dataset.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.data.-t-f-record-dataset.__metaclass__.pbtxt index b12dec8a70..b12dec8a70 100644 --- a/tensorflow/tools/api/golden/tensorflow.data.-t-f-record-dataset.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.data.-t-f-record-dataset.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.data.-t-f-record-dataset.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.data.-t-f-record-dataset.pbtxt index 601f095a60..601f095a60 100644 --- a/tensorflow/tools/api/golden/tensorflow.data.-t-f-record-dataset.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.data.-t-f-record-dataset.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.data.-text-line-dataset.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.data.-text-line-dataset.__metaclass__.pbtxt index 7ddcdce266..7ddcdce266 100644 --- a/tensorflow/tools/api/golden/tensorflow.data.-text-line-dataset.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.data.-text-line-dataset.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.data.-text-line-dataset.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.data.-text-line-dataset.pbtxt index 587829a4c0..587829a4c0 100644 --- a/tensorflow/tools/api/golden/tensorflow.data.-text-line-dataset.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.data.-text-line-dataset.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.data.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.data.pbtxt index 56fb270a49..56fb270a49 100644 --- a/tensorflow/tools/api/golden/tensorflow.data.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.data.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.debugging.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.debugging.pbtxt index d9efe97821..d9efe97821 100644 --- a/tensorflow/tools/api/golden/tensorflow.debugging.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.debugging.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.distributions.-bernoulli.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-bernoulli.pbtxt index ca96f4eaec..ca96f4eaec 100644 --- a/tensorflow/tools/api/golden/tensorflow.distributions.-bernoulli.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-bernoulli.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.distributions.-beta.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-beta.pbtxt index d0508acd9f..d0508acd9f 100644 --- a/tensorflow/tools/api/golden/tensorflow.distributions.-beta.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-beta.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.distributions.-categorical.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-categorical.pbtxt index ff0fbb56cd..ff0fbb56cd 100644 --- a/tensorflow/tools/api/golden/tensorflow.distributions.-categorical.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-categorical.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.distributions.-dirichlet-multinomial.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-dirichlet-multinomial.pbtxt index d75e4a2f88..d75e4a2f88 100644 --- a/tensorflow/tools/api/golden/tensorflow.distributions.-dirichlet-multinomial.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-dirichlet-multinomial.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.distributions.-dirichlet.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-dirichlet.pbtxt index b838b9ae21..b838b9ae21 100644 --- a/tensorflow/tools/api/golden/tensorflow.distributions.-dirichlet.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-dirichlet.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.distributions.-distribution.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-distribution.pbtxt index 6f06b7d50d..6f06b7d50d 100644 --- a/tensorflow/tools/api/golden/tensorflow.distributions.-distribution.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-distribution.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.distributions.-exponential.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-exponential.pbtxt index d34f9cde5d..d34f9cde5d 100644 --- a/tensorflow/tools/api/golden/tensorflow.distributions.-exponential.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-exponential.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.distributions.-gamma.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-gamma.pbtxt index df268b8d99..df268b8d99 100644 --- a/tensorflow/tools/api/golden/tensorflow.distributions.-gamma.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-gamma.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.distributions.-laplace.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-laplace.pbtxt index 303dcb4ed3..303dcb4ed3 100644 --- a/tensorflow/tools/api/golden/tensorflow.distributions.-laplace.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-laplace.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.distributions.-multinomial.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-multinomial.pbtxt index ecda8acb15..ecda8acb15 100644 --- a/tensorflow/tools/api/golden/tensorflow.distributions.-multinomial.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-multinomial.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.distributions.-normal.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-normal.pbtxt index 92b9eeea22..92b9eeea22 100644 --- a/tensorflow/tools/api/golden/tensorflow.distributions.-normal.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-normal.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.distributions.-register-k-l.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-register-k-l.pbtxt index e3db443c2b..e3db443c2b 100644 --- a/tensorflow/tools/api/golden/tensorflow.distributions.-register-k-l.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-register-k-l.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.distributions.-reparameterization-type.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-reparameterization-type.pbtxt index 02e8d576dd..02e8d576dd 100644 --- a/tensorflow/tools/api/golden/tensorflow.distributions.-reparameterization-type.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-reparameterization-type.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.distributions.-student-t.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-student-t.pbtxt index 9aa7f9a634..9aa7f9a634 100644 --- a/tensorflow/tools/api/golden/tensorflow.distributions.-student-t.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-student-t.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.distributions.-uniform.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-uniform.pbtxt index d1b9d30696..d1b9d30696 100644 --- a/tensorflow/tools/api/golden/tensorflow.distributions.-uniform.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.distributions.-uniform.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.distributions.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.distributions.pbtxt index 90b60ef074..90b60ef074 100644 --- a/tensorflow/tools/api/golden/tensorflow.distributions.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.distributions.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.dtypes.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.dtypes.pbtxt index 98e1feed00..98e1feed00 100644 --- a/tensorflow/tools/api/golden/tensorflow.dtypes.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.dtypes.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-aborted-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-aborted-error.pbtxt index ea9186b0b9..ea9186b0b9 100644 --- a/tensorflow/tools/api/golden/tensorflow.errors.-aborted-error.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.errors.-aborted-error.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-already-exists-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-already-exists-error.pbtxt index 4e155081dd..4e155081dd 100644 --- a/tensorflow/tools/api/golden/tensorflow.errors.-already-exists-error.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.errors.-already-exists-error.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-cancelled-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-cancelled-error.pbtxt index b02a0e023a..b02a0e023a 100644 --- a/tensorflow/tools/api/golden/tensorflow.errors.-cancelled-error.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.errors.-cancelled-error.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-data-loss-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-data-loss-error.pbtxt index c1fa66342a..c1fa66342a 100644 --- a/tensorflow/tools/api/golden/tensorflow.errors.-data-loss-error.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.errors.-data-loss-error.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-deadline-exceeded-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-deadline-exceeded-error.pbtxt index 8e03793619..8e03793619 100644 --- a/tensorflow/tools/api/golden/tensorflow.errors.-deadline-exceeded-error.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.errors.-deadline-exceeded-error.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-failed-precondition-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-failed-precondition-error.pbtxt index 384d4b534c..384d4b534c 100644 --- a/tensorflow/tools/api/golden/tensorflow.errors.-failed-precondition-error.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.errors.-failed-precondition-error.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-internal-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-internal-error.pbtxt index ac5c4d7879..ac5c4d7879 100644 --- a/tensorflow/tools/api/golden/tensorflow.errors.-internal-error.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.errors.-internal-error.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-invalid-argument-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-invalid-argument-error.pbtxt index 161edd4a7c..161edd4a7c 100644 --- a/tensorflow/tools/api/golden/tensorflow.errors.-invalid-argument-error.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.errors.-invalid-argument-error.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-not-found-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-not-found-error.pbtxt index 1e64730ac6..1e64730ac6 100644 --- a/tensorflow/tools/api/golden/tensorflow.errors.-not-found-error.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.errors.-not-found-error.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-op-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-op-error.pbtxt index b1f14c0457..b1f14c0457 100644 --- a/tensorflow/tools/api/golden/tensorflow.errors.-op-error.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.errors.-op-error.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-out-of-range-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-out-of-range-error.pbtxt index 6365e47286..6365e47286 100644 --- a/tensorflow/tools/api/golden/tensorflow.errors.-out-of-range-error.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.errors.-out-of-range-error.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-permission-denied-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-permission-denied-error.pbtxt index dc8a66f9ea..dc8a66f9ea 100644 --- a/tensorflow/tools/api/golden/tensorflow.errors.-permission-denied-error.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.errors.-permission-denied-error.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-resource-exhausted-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-resource-exhausted-error.pbtxt index 85bb384b46..85bb384b46 100644 --- a/tensorflow/tools/api/golden/tensorflow.errors.-resource-exhausted-error.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.errors.-resource-exhausted-error.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-unauthenticated-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-unauthenticated-error.pbtxt index d57d7ac2f2..d57d7ac2f2 100644 --- a/tensorflow/tools/api/golden/tensorflow.errors.-unauthenticated-error.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.errors.-unauthenticated-error.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-unavailable-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-unavailable-error.pbtxt index cc33e6ed8d..cc33e6ed8d 100644 --- a/tensorflow/tools/api/golden/tensorflow.errors.-unavailable-error.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.errors.-unavailable-error.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-unimplemented-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-unimplemented-error.pbtxt index b8c2e22dbd..b8c2e22dbd 100644 --- a/tensorflow/tools/api/golden/tensorflow.errors.-unimplemented-error.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.errors.-unimplemented-error.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.errors.-unknown-error.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.-unknown-error.pbtxt index 8ffcfae95b..8ffcfae95b 100644 --- a/tensorflow/tools/api/golden/tensorflow.errors.-unknown-error.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.errors.-unknown-error.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.errors.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.pbtxt index c5fe49baab..c5fe49baab 100644 --- a/tensorflow/tools/api/golden/tensorflow.errors.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.errors.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.errors.raise_exception_on_not_ok_status.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.errors.raise_exception_on_not_ok_status.pbtxt index 5d25ec769a..5d25ec769a 100644 --- a/tensorflow/tools/api/golden/tensorflow.errors.raise_exception_on_not_ok_status.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.errors.raise_exception_on_not_ok_status.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-baseline-classifier.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-baseline-classifier.pbtxt index cf22e39d4c..cf22e39d4c 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-baseline-classifier.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-baseline-classifier.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-baseline-regressor.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-baseline-regressor.pbtxt index a363bceae3..a363bceae3 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-baseline-regressor.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-baseline-regressor.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-best-exporter.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-best-exporter.pbtxt index 9694268199..9694268199 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-best-exporter.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-best-exporter.pbtxt diff --git a/tensorflow/tools/api/golden/v1/tensorflow.estimator.-boosted-trees-classifier.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-boosted-trees-classifier.pbtxt new file mode 100644 index 0000000000..c23b04b4ef --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-boosted-trees-classifier.pbtxt @@ -0,0 +1,58 @@ +path: "tensorflow.estimator.BoostedTreesClassifier" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.canned.boosted_trees.BoostedTreesClassifier\'>" + is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>" + is_instance: "<type \'object\'>" + member { + name: "config" + mtype: "<type \'property\'>" + } + member { + name: "model_dir" + mtype: "<type \'property\'>" + } + member { + name: "model_fn" + mtype: "<type \'property\'>" + } + member { + name: "params" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\', \'center_bias\', \'pruning_mode\'], varargs=None, keywords=None, defaults=[\'None\', \'<object object instance>\', \'None\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'False\', \'none\'], " + } + member_method { + name: "eval_dir" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "export_savedmodel" + argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], " + } + member_method { + name: "get_variable_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_variable_value" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "latest_checkpoint" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], " + } + member_method { + name: "train" + argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v1/tensorflow.estimator.-boosted-trees-regressor.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-boosted-trees-regressor.pbtxt new file mode 100644 index 0000000000..6878d28fff --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-boosted-trees-regressor.pbtxt @@ -0,0 +1,58 @@ +path: "tensorflow.estimator.BoostedTreesRegressor" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.canned.boosted_trees.BoostedTreesRegressor\'>" + is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>" + is_instance: "<type \'object\'>" + member { + name: "config" + mtype: "<type \'property\'>" + } + member { + name: "model_dir" + mtype: "<type \'property\'>" + } + member { + name: "model_fn" + mtype: "<type \'property\'>" + } + member { + name: "params" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'label_dimension\', \'weight_column\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\', \'center_bias\', \'pruning_mode\'], varargs=None, keywords=None, defaults=[\'None\', \'<object object instance>\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'False\', \'none\'], " + } + member_method { + name: "eval_dir" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "export_savedmodel" + argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], " + } + member_method { + name: "get_variable_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_variable_value" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "latest_checkpoint" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], " + } + member_method { + name: "train" + argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-d-n-n-classifier.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-classifier.pbtxt index 111914f643..0c6b7e4a82 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-d-n-n-classifier.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-classifier.pbtxt @@ -21,7 +21,7 @@ tf_class { } member_method { name: "__init__" - argspec: "args=[\'self\', \'hidden_units\', \'feature_columns\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'optimizer\', \'activation_fn\', \'dropout\', \'input_layer_partitioner\', \'config\', \'warm_start_from\', \'loss_reduction\'], varargs=None, keywords=None, defaults=[\'None\', \'2\', \'None\', \'None\', \'Adagrad\', \'<function relu instance>\', \'None\', \'None\', \'None\', \'None\', \'weighted_sum\'], " + argspec: "args=[\'self\', \'hidden_units\', \'feature_columns\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'optimizer\', \'activation_fn\', \'dropout\', \'input_layer_partitioner\', \'config\', \'warm_start_from\', \'loss_reduction\', \'batch_norm\'], varargs=None, keywords=None, defaults=[\'None\', \'2\', \'None\', \'None\', \'Adagrad\', \'<function relu instance>\', \'None\', \'None\', \'None\', \'None\', \'weighted_sum\', \'False\'], " } member_method { name: "eval_dir" diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-d-n-n-linear-combined-classifier.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-linear-combined-classifier.pbtxt index 67e4ee02d0..9c1c072124 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-d-n-n-linear-combined-classifier.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-linear-combined-classifier.pbtxt @@ -21,7 +21,7 @@ tf_class { } member_method { name: "__init__" - argspec: "args=[\'self\', \'model_dir\', \'linear_feature_columns\', \'linear_optimizer\', \'dnn_feature_columns\', \'dnn_optimizer\', \'dnn_hidden_units\', \'dnn_activation_fn\', \'dnn_dropout\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'input_layer_partitioner\', \'config\', \'warm_start_from\', \'loss_reduction\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'Ftrl\', \'None\', \'Adagrad\', \'None\', \'<function relu instance>\', \'None\', \'2\', \'None\', \'None\', \'None\', \'None\', \'None\', \'weighted_sum\'], " + argspec: "args=[\'self\', \'model_dir\', \'linear_feature_columns\', \'linear_optimizer\', \'dnn_feature_columns\', \'dnn_optimizer\', \'dnn_hidden_units\', \'dnn_activation_fn\', \'dnn_dropout\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'input_layer_partitioner\', \'config\', \'warm_start_from\', \'loss_reduction\', \'batch_norm\', \'linear_sparse_combiner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'Ftrl\', \'None\', \'Adagrad\', \'None\', \'<function relu instance>\', \'None\', \'2\', \'None\', \'None\', \'None\', \'None\', \'None\', \'weighted_sum\', \'False\', \'sum\'], " } member_method { name: "eval_dir" diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-d-n-n-linear-combined-regressor.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-linear-combined-regressor.pbtxt index e1289b975e..7391d4b07a 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-d-n-n-linear-combined-regressor.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-linear-combined-regressor.pbtxt @@ -21,7 +21,7 @@ tf_class { } member_method { name: "__init__" - argspec: "args=[\'self\', \'model_dir\', \'linear_feature_columns\', \'linear_optimizer\', \'dnn_feature_columns\', \'dnn_optimizer\', \'dnn_hidden_units\', \'dnn_activation_fn\', \'dnn_dropout\', \'label_dimension\', \'weight_column\', \'input_layer_partitioner\', \'config\', \'warm_start_from\', \'loss_reduction\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'Ftrl\', \'None\', \'Adagrad\', \'None\', \'<function relu instance>\', \'None\', \'1\', \'None\', \'None\', \'None\', \'None\', \'weighted_sum\'], " + argspec: "args=[\'self\', \'model_dir\', \'linear_feature_columns\', \'linear_optimizer\', \'dnn_feature_columns\', \'dnn_optimizer\', \'dnn_hidden_units\', \'dnn_activation_fn\', \'dnn_dropout\', \'label_dimension\', \'weight_column\', \'input_layer_partitioner\', \'config\', \'warm_start_from\', \'loss_reduction\', \'batch_norm\', \'linear_sparse_combiner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'Ftrl\', \'None\', \'Adagrad\', \'None\', \'<function relu instance>\', \'None\', \'1\', \'None\', \'None\', \'None\', \'None\', \'weighted_sum\', \'False\', \'sum\'], " } member_method { name: "eval_dir" diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-d-n-n-regressor.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-regressor.pbtxt index d030b2f51f..f50e375f7c 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-d-n-n-regressor.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-d-n-n-regressor.pbtxt @@ -21,7 +21,7 @@ tf_class { } member_method { name: "__init__" - argspec: "args=[\'self\', \'hidden_units\', \'feature_columns\', \'model_dir\', \'label_dimension\', \'weight_column\', \'optimizer\', \'activation_fn\', \'dropout\', \'input_layer_partitioner\', \'config\', \'warm_start_from\', \'loss_reduction\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'Adagrad\', \'<function relu instance>\', \'None\', \'None\', \'None\', \'None\', \'weighted_sum\'], " + argspec: "args=[\'self\', \'hidden_units\', \'feature_columns\', \'model_dir\', \'label_dimension\', \'weight_column\', \'optimizer\', \'activation_fn\', \'dropout\', \'input_layer_partitioner\', \'config\', \'warm_start_from\', \'loss_reduction\', \'batch_norm\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'Adagrad\', \'<function relu instance>\', \'None\', \'None\', \'None\', \'None\', \'weighted_sum\', \'False\'], " } member_method { name: "eval_dir" diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-estimator-spec.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-estimator-spec.pbtxt index aa6ac46613..aa6ac46613 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-estimator-spec.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-estimator-spec.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-estimator.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-estimator.pbtxt index d72b576977..d72b576977 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-estimator.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-estimator.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-eval-spec.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-eval-spec.pbtxt index db83ba1bd8..db83ba1bd8 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-eval-spec.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-eval-spec.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-exporter.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-exporter.pbtxt index 035af70e52..035af70e52 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-exporter.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-exporter.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-final-exporter.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-final-exporter.pbtxt index ee37b1fa21..ee37b1fa21 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-final-exporter.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-final-exporter.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-latest-exporter.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-latest-exporter.pbtxt index 2a9d029029..2a9d029029 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-latest-exporter.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-latest-exporter.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-linear-classifier.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-linear-classifier.pbtxt index cb578759ee..154f171e89 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-linear-classifier.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-linear-classifier.pbtxt @@ -21,7 +21,7 @@ tf_class { } member_method { name: "__init__" - argspec: "args=[\'self\', \'feature_columns\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'optimizer\', \'config\', \'partitioner\', \'warm_start_from\', \'loss_reduction\'], varargs=None, keywords=None, defaults=[\'None\', \'2\', \'None\', \'None\', \'Ftrl\', \'None\', \'None\', \'None\', \'weighted_sum\'], " + argspec: "args=[\'self\', \'feature_columns\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'optimizer\', \'config\', \'partitioner\', \'warm_start_from\', \'loss_reduction\', \'sparse_combiner\'], varargs=None, keywords=None, defaults=[\'None\', \'2\', \'None\', \'None\', \'Ftrl\', \'None\', \'None\', \'None\', \'weighted_sum\', \'sum\'], " } member_method { name: "eval_dir" diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-linear-regressor.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-linear-regressor.pbtxt index fcd01bb663..4d46d1e6b6 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-linear-regressor.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-linear-regressor.pbtxt @@ -21,7 +21,7 @@ tf_class { } member_method { name: "__init__" - argspec: "args=[\'self\', \'feature_columns\', \'model_dir\', \'label_dimension\', \'weight_column\', \'optimizer\', \'config\', \'partitioner\', \'warm_start_from\', \'loss_reduction\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'Ftrl\', \'None\', \'None\', \'None\', \'weighted_sum\'], " + argspec: "args=[\'self\', \'feature_columns\', \'model_dir\', \'label_dimension\', \'weight_column\', \'optimizer\', \'config\', \'partitioner\', \'warm_start_from\', \'loss_reduction\', \'sparse_combiner\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'Ftrl\', \'None\', \'None\', \'None\', \'weighted_sum\', \'sum\'], " } member_method { name: "eval_dir" diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-mode-keys.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-mode-keys.pbtxt index 6a1c24fa63..6a1c24fa63 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-mode-keys.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-mode-keys.pbtxt diff --git a/tensorflow/tools/api/golden/v1/tensorflow.estimator.-run-config.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-run-config.pbtxt new file mode 100644 index 0000000000..bf1f94b6ae --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-run-config.pbtxt @@ -0,0 +1,105 @@ +path: "tensorflow.estimator.RunConfig" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.run_config.RunConfig\'>" + is_instance: "<type \'object\'>" + member { + name: "cluster_spec" + mtype: "<type \'property\'>" + } + member { + name: "device_fn" + mtype: "<type \'property\'>" + } + member { + name: "eval_distribute" + mtype: "<type \'property\'>" + } + member { + name: "evaluation_master" + mtype: "<type \'property\'>" + } + member { + name: "global_id_in_cluster" + mtype: "<type \'property\'>" + } + member { + name: "is_chief" + mtype: "<type \'property\'>" + } + member { + name: "keep_checkpoint_every_n_hours" + mtype: "<type \'property\'>" + } + member { + name: "keep_checkpoint_max" + mtype: "<type \'property\'>" + } + member { + name: "log_step_count_steps" + mtype: "<type \'property\'>" + } + member { + name: "master" + mtype: "<type \'property\'>" + } + member { + name: "model_dir" + mtype: "<type \'property\'>" + } + member { + name: "num_ps_replicas" + mtype: "<type \'property\'>" + } + member { + name: "num_worker_replicas" + mtype: "<type \'property\'>" + } + member { + name: "protocol" + mtype: "<type \'property\'>" + } + member { + name: "save_checkpoints_secs" + mtype: "<type \'property\'>" + } + member { + name: "save_checkpoints_steps" + mtype: "<type \'property\'>" + } + member { + name: "save_summary_steps" + mtype: "<type \'property\'>" + } + member { + name: "service" + mtype: "<type \'property\'>" + } + member { + name: "session_config" + mtype: "<type \'property\'>" + } + member { + name: "task_id" + mtype: "<type \'property\'>" + } + member { + name: "task_type" + mtype: "<type \'property\'>" + } + member { + name: "tf_random_seed" + mtype: "<type \'property\'>" + } + member { + name: "train_distribute" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'model_dir\', \'tf_random_seed\', \'save_summary_steps\', \'save_checkpoints_steps\', \'save_checkpoints_secs\', \'session_config\', \'keep_checkpoint_max\', \'keep_checkpoint_every_n_hours\', \'log_step_count_steps\', \'train_distribute\', \'device_fn\', \'protocol\', \'eval_distribute\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'100\', \'<object object instance>\', \'<object object instance>\', \'None\', \'5\', \'10000\', \'100\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "replace" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-train-spec.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-train-spec.pbtxt index 7d2f77438a..7d2f77438a 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-train-spec.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-train-spec.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-vocab-info.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-vocab-info.pbtxt index 5301b94eb3..5301b94eb3 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-vocab-info.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-vocab-info.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.-warm-start-settings.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-warm-start-settings.pbtxt index 43f5343359..43f5343359 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.-warm-start-settings.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.-warm-start-settings.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-classification-output.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-classification-output.__metaclass__.pbtxt index 3cf7af8da9..3cf7af8da9 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.export.-classification-output.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-classification-output.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-classification-output.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-classification-output.pbtxt index 2df1840c4a..2df1840c4a 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.export.-classification-output.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-classification-output.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-export-output.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-export-output.__metaclass__.pbtxt index 5d165ccbf9..5d165ccbf9 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.export.-export-output.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-export-output.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-export-output.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-export-output.pbtxt index fa62e8ced8..fa62e8ced8 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.export.-export-output.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-export-output.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-predict-output.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-predict-output.__metaclass__.pbtxt index 743495ba98..743495ba98 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.export.-predict-output.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-predict-output.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-predict-output.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-predict-output.pbtxt index e0160b10ce..e0160b10ce 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.export.-predict-output.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-predict-output.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-regression-output.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-regression-output.__metaclass__.pbtxt index dbf4e3dec8..dbf4e3dec8 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.export.-regression-output.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-regression-output.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-regression-output.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-regression-output.pbtxt index 905f0e0553..905f0e0553 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.export.-regression-output.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-regression-output.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-serving-input-receiver.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-serving-input-receiver.pbtxt index d71b2a4300..d71b2a4300 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.export.-serving-input-receiver.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-serving-input-receiver.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.-tensor-serving-input-receiver.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-tensor-serving-input-receiver.pbtxt index 4fe92643bf..4fe92643bf 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.export.-tensor-serving-input-receiver.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.-tensor-serving-input-receiver.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.export.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.pbtxt index bd72f6cd79..bd72f6cd79 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.export.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.export.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.inputs.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.inputs.pbtxt index b318fea1f8..b318fea1f8 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.inputs.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.inputs.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.estimator.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.estimator.pbtxt index f1d204a3ef..f1d204a3ef 100644 --- a/tensorflow/tools/api/golden/tensorflow.estimator.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.estimator.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.feature_column.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.feature_column.pbtxt index 24a58fb118..24a58fb118 100644 --- a/tensorflow/tools/api/golden/tensorflow.feature_column.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.feature_column.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.gfile.-fast-g-file.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.gfile.-fast-g-file.pbtxt index eecfaffd0a..eecfaffd0a 100644 --- a/tensorflow/tools/api/golden/tensorflow.gfile.-fast-g-file.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.gfile.-fast-g-file.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.gfile.-g-file.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.gfile.-g-file.pbtxt index 305251059d..305251059d 100644 --- a/tensorflow/tools/api/golden/tensorflow.gfile.-g-file.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.gfile.-g-file.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.gfile.-open.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.gfile.-open.pbtxt index 6e8894180a..6e8894180a 100644 --- a/tensorflow/tools/api/golden/tensorflow.gfile.-open.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.gfile.-open.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.gfile.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.gfile.pbtxt index 65b55a8b7c..65b55a8b7c 100644 --- a/tensorflow/tools/api/golden/tensorflow.gfile.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.gfile.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.graph_util.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.graph_util.pbtxt index eeabf845dc..eeabf845dc 100644 --- a/tensorflow/tools/api/golden/tensorflow.graph_util.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.graph_util.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.image.-resize-method.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.image.-resize-method.pbtxt index dbc360b13e..dbc360b13e 100644 --- a/tensorflow/tools/api/golden/tensorflow.image.-resize-method.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.image.-resize-method.pbtxt diff --git a/tensorflow/tools/api/golden/v1/tensorflow.image.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.image.pbtxt new file mode 100644 index 0000000000..5c46dc5ee7 --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.image.pbtxt @@ -0,0 +1,251 @@ +path: "tensorflow.image" +tf_module { + member { + name: "ResizeMethod" + mtype: "<type \'type\'>" + } + member_method { + name: "adjust_brightness" + argspec: "args=[\'image\', \'delta\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "adjust_contrast" + argspec: "args=[\'images\', \'contrast_factor\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "adjust_gamma" + argspec: "args=[\'image\', \'gamma\', \'gain\'], varargs=None, keywords=None, defaults=[\'1\', \'1\'], " + } + member_method { + name: "adjust_hue" + argspec: "args=[\'image\', \'delta\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "adjust_jpeg_quality" + argspec: "args=[\'image\', \'jpeg_quality\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "adjust_saturation" + argspec: "args=[\'image\', \'saturation_factor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "central_crop" + argspec: "args=[\'image\', \'central_fraction\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "convert_image_dtype" + argspec: "args=[\'image\', \'dtype\', \'saturate\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "crop_and_resize" + argspec: "args=[\'image\', \'boxes\', \'box_ind\', \'crop_size\', \'method\', \'extrapolation_value\', \'name\'], varargs=None, keywords=None, defaults=[\'bilinear\', \'0\', \'None\'], " + } + member_method { + name: "crop_to_bounding_box" + argspec: "args=[\'image\', \'offset_height\', \'offset_width\', \'target_height\', \'target_width\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "decode_and_crop_jpeg" + argspec: "args=[\'contents\', \'crop_window\', \'channels\', \'ratio\', \'fancy_upscaling\', \'try_recover_truncated\', \'acceptable_fraction\', \'dct_method\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'1\', \'True\', \'False\', \'1\', \'\', \'None\'], " + } + member_method { + name: "decode_bmp" + argspec: "args=[\'contents\', \'channels\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], " + } + member_method { + name: "decode_gif" + argspec: "args=[\'contents\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "decode_image" + argspec: "args=[\'contents\', \'channels\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'uint8\'>\", \'None\'], " + } + member_method { + name: "decode_jpeg" + argspec: "args=[\'contents\', \'channels\', \'ratio\', \'fancy_upscaling\', \'try_recover_truncated\', \'acceptable_fraction\', \'dct_method\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'1\', \'True\', \'False\', \'1\', \'\', \'None\'], " + } + member_method { + name: "decode_png" + argspec: "args=[\'contents\', \'channels\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \"<dtype: \'uint8\'>\", \'None\'], " + } + member_method { + name: "draw_bounding_boxes" + argspec: "args=[\'images\', \'boxes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "encode_jpeg" + argspec: "args=[\'image\', \'format\', \'quality\', \'progressive\', \'optimize_size\', \'chroma_downsampling\', \'density_unit\', \'x_density\', \'y_density\', \'xmp_metadata\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'95\', \'False\', \'False\', \'True\', \'in\', \'300\', \'300\', \'\', \'None\'], " + } + member_method { + name: "encode_png" + argspec: "args=[\'image\', \'compression\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], " + } + member_method { + name: "extract_glimpse" + argspec: "args=[\'input\', \'size\', \'offsets\', \'centered\', \'normalized\', \'uniform_noise\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'True\', \'True\', \'None\'], " + } + member_method { + name: "extract_image_patches" + argspec: "args=[\'images\', \'ksizes\', \'strides\', \'rates\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "extract_jpeg_shape" + argspec: "args=[\'contents\', \'output_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], " + } + member_method { + name: "flip_left_right" + argspec: "args=[\'image\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "flip_up_down" + argspec: "args=[\'image\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "grayscale_to_rgb" + argspec: "args=[\'images\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "hsv_to_rgb" + argspec: "args=[\'images\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "image_gradients" + argspec: "args=[\'image\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "is_jpeg" + argspec: "args=[\'contents\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "non_max_suppression" + argspec: "args=[\'boxes\', \'scores\', \'max_output_size\', \'iou_threshold\', \'score_threshold\', \'name\'], varargs=None, keywords=None, defaults=[\'0.5\', \'-inf\', \'None\'], " + } + member_method { + name: "non_max_suppression_overlaps" + argspec: "args=[\'overlaps\', \'scores\', \'max_output_size\', \'overlap_threshold\', \'score_threshold\', \'name\'], varargs=None, keywords=None, defaults=[\'0.5\', \'-inf\', \'None\'], " + } + member_method { + name: "non_max_suppression_padded" + argspec: "args=[\'boxes\', \'scores\', \'max_output_size\', \'iou_threshold\', \'score_threshold\', \'pad_to_max_output_size\', \'name\'], varargs=None, keywords=None, defaults=[\'0.5\', \'-inf\', \'False\', \'None\'], " + } + member_method { + name: "pad_to_bounding_box" + argspec: "args=[\'image\', \'offset_height\', \'offset_width\', \'target_height\', \'target_width\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "per_image_standardization" + argspec: "args=[\'image\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "psnr" + argspec: "args=[\'a\', \'b\', \'max_val\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "random_brightness" + argspec: "args=[\'image\', \'max_delta\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "random_contrast" + argspec: "args=[\'image\', \'lower\', \'upper\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "random_flip_left_right" + argspec: "args=[\'image\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "random_flip_up_down" + argspec: "args=[\'image\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "random_hue" + argspec: "args=[\'image\', \'max_delta\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "random_jpeg_quality" + argspec: "args=[\'image\', \'min_jpeg_quality\', \'max_jpeg_quality\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "random_saturation" + argspec: "args=[\'image\', \'lower\', \'upper\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "resize_area" + argspec: "args=[\'images\', \'size\', \'align_corners\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "resize_bicubic" + argspec: "args=[\'images\', \'size\', \'align_corners\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "resize_bilinear" + argspec: "args=[\'images\', \'size\', \'align_corners\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "resize_image_with_crop_or_pad" + argspec: "args=[\'image\', \'target_height\', \'target_width\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "resize_image_with_pad" + argspec: "args=[\'image\', \'target_height\', \'target_width\', \'method\'], varargs=None, keywords=None, defaults=[\'0\'], " + } + member_method { + name: "resize_images" + argspec: "args=[\'images\', \'size\', \'method\', \'align_corners\', \'preserve_aspect_ratio\'], varargs=None, keywords=None, defaults=[\'0\', \'False\', \'False\'], " + } + member_method { + name: "resize_nearest_neighbor" + argspec: "args=[\'images\', \'size\', \'align_corners\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "rgb_to_grayscale" + argspec: "args=[\'images\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "rgb_to_hsv" + argspec: "args=[\'images\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "rgb_to_yiq" + argspec: "args=[\'images\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "rgb_to_yuv" + argspec: "args=[\'images\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "rot90" + argspec: "args=[\'image\', \'k\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'None\'], " + } + member_method { + name: "sample_distorted_bounding_box" + argspec: "args=[\'image_size\', \'bounding_boxes\', \'seed\', \'seed2\', \'min_object_covered\', \'aspect_ratio_range\', \'area_range\', \'max_attempts\', \'use_image_if_no_bounding_boxes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'0.1\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "sobel_edges" + argspec: "args=[\'image\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "ssim" + argspec: "args=[\'img1\', \'img2\', \'max_val\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "ssim_multiscale" + argspec: "args=[\'img1\', \'img2\', \'max_val\', \'power_factors\'], varargs=None, keywords=None, defaults=[\'(0.0448, 0.2856, 0.3001, 0.2363, 0.1333)\'], " + } + member_method { + name: "total_variation" + argspec: "args=[\'images\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "transpose_image" + argspec: "args=[\'image\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "yiq_to_rgb" + argspec: "args=[\'images\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "yuv_to_rgb" + argspec: "args=[\'images\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.constant.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.constant.pbtxt index 607a5aae21..607a5aae21 100644 --- a/tensorflow/tools/api/golden/tensorflow.initializers.constant.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.initializers.constant.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.identity.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.identity.pbtxt index 37fcab9599..37fcab9599 100644 --- a/tensorflow/tools/api/golden/tensorflow.initializers.identity.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.initializers.identity.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.ones.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.ones.pbtxt index 18481d4815..18481d4815 100644 --- a/tensorflow/tools/api/golden/tensorflow.initializers.ones.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.initializers.ones.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.orthogonal.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.orthogonal.pbtxt index ff64efd60c..ff64efd60c 100644 --- a/tensorflow/tools/api/golden/tensorflow.initializers.orthogonal.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.initializers.orthogonal.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.pbtxt index eaf0036cac..bc0426f2f1 100644 --- a/tensorflow/tools/api/golden/tensorflow.initializers.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.initializers.pbtxt @@ -45,6 +45,30 @@ tf_module { argspec: "args=[], varargs=None, keywords=None, defaults=None" } member_method { + name: "glorot_normal" + argspec: "args=[\'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "glorot_uniform" + argspec: "args=[\'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "he_normal" + argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "he_uniform" + argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "lecun_normal" + argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "lecun_uniform" + argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { name: "local_variables" argspec: "args=[], varargs=None, keywords=None, defaults=None" } diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.random_normal.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.random_normal.pbtxt index 133e61c1d9..133e61c1d9 100644 --- a/tensorflow/tools/api/golden/tensorflow.initializers.random_normal.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.initializers.random_normal.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.random_uniform.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.random_uniform.pbtxt index 0cfa0080f5..0cfa0080f5 100644 --- a/tensorflow/tools/api/golden/tensorflow.initializers.random_uniform.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.initializers.random_uniform.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.truncated_normal.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.truncated_normal.pbtxt index 730390fba2..730390fba2 100644 --- a/tensorflow/tools/api/golden/tensorflow.initializers.truncated_normal.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.initializers.truncated_normal.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.uniform_unit_scaling.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.uniform_unit_scaling.pbtxt index 13295ef375..13295ef375 100644 --- a/tensorflow/tools/api/golden/tensorflow.initializers.uniform_unit_scaling.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.initializers.uniform_unit_scaling.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.variance_scaling.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.variance_scaling.pbtxt index 86340913e2..86340913e2 100644 --- a/tensorflow/tools/api/golden/tensorflow.initializers.variance_scaling.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.initializers.variance_scaling.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.initializers.zeros.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.initializers.zeros.pbtxt index 7df4237bb6..7df4237bb6 100644 --- a/tensorflow/tools/api/golden/tensorflow.initializers.zeros.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.initializers.zeros.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.io.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.io.pbtxt index 3a36c168aa..3a36c168aa 100644 --- a/tensorflow/tools/api/golden/tensorflow.io.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.io.pbtxt diff --git a/tensorflow/tools/api/golden/v1/tensorflow.keras.-model.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.-model.pbtxt new file mode 100644 index 0000000000..e579fe6a1a --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.-model.pbtxt @@ -0,0 +1,268 @@ +path: "tensorflow.keras.Model" +tf_class { + is_instance: "<class \'tensorflow.python.keras.engine.training.Model\'>" + is_instance: "<class \'tensorflow.python.keras.engine.network.Network\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "input_spec" + mtype: "<type \'property\'>" + } + member { + name: "layers" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "state_updates" + mtype: "<type \'property\'>" + } + member { + name: "stateful" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "uses_learning_phase" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compile" + argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\', \'distribute\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'verbose\', \'sample_weight\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'1\', \'None\', \'None\'], " + } + member_method { + name: "evaluate_generator" + argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], " + } + member_method { + name: "fit" + argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'epochs\', \'verbose\', \'callbacks\', \'validation_split\', \'validation_data\', \'shuffle\', \'class_weight\', \'sample_weight\', \'initial_epoch\', \'steps_per_epoch\', \'validation_steps\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'1\', \'1\', \'None\', \'0.0\', \'None\', \'True\', \'None\', \'None\', \'0\', \'None\', \'None\'], " + } + member_method { + name: "fit_generator" + argspec: "args=[\'self\', \'generator\', \'steps_per_epoch\', \'epochs\', \'verbose\', \'callbacks\', \'validation_data\', \'validation_steps\', \'class_weight\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'shuffle\', \'initial_epoch\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'1\', \'None\', \'None\', \'None\', \'None\', \'10\', \'1\', \'False\', \'True\', \'0\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_layer" + argspec: "args=[\'self\', \'name\', \'index\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "load_weights" + argspec: "args=[\'self\', \'filepath\', \'by_name\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], " + } + member_method { + name: "predict_generator" + argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], " + } + member_method { + name: "predict_on_batch" + argspec: "args=[\'self\', \'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "reset_states" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "save" + argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'include_optimizer\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], " + } + member_method { + name: "save_weights" + argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'save_format\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], " + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "summary" + argspec: "args=[\'self\', \'line_length\', \'positions\', \'print_fn\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "test_on_batch" + argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "to_json" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "to_yaml" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "train_on_batch" + argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\', \'class_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v1/tensorflow.keras.-sequential.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.-sequential.pbtxt new file mode 100644 index 0000000000..97688fcb0f --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.-sequential.pbtxt @@ -0,0 +1,285 @@ +path: "tensorflow.keras.Sequential" +tf_class { + is_instance: "<class \'tensorflow.python.keras.engine.sequential.Sequential\'>" + is_instance: "<class \'tensorflow.python.keras.engine.training.Model\'>" + is_instance: "<class \'tensorflow.python.keras.engine.network.Network\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "input_spec" + mtype: "<type \'property\'>" + } + member { + name: "layers" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "state_updates" + mtype: "<type \'property\'>" + } + member { + name: "stateful" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "uses_learning_phase" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'layers\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "add" + argspec: "args=[\'self\', \'layer\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compile" + argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\', \'distribute\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'verbose\', \'sample_weight\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'1\', \'None\', \'None\'], " + } + member_method { + name: "evaluate_generator" + argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], " + } + member_method { + name: "fit" + argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'epochs\', \'verbose\', \'callbacks\', \'validation_split\', \'validation_data\', \'shuffle\', \'class_weight\', \'sample_weight\', \'initial_epoch\', \'steps_per_epoch\', \'validation_steps\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'1\', \'1\', \'None\', \'0.0\', \'None\', \'True\', \'None\', \'None\', \'0\', \'None\', \'None\'], " + } + member_method { + name: "fit_generator" + argspec: "args=[\'self\', \'generator\', \'steps_per_epoch\', \'epochs\', \'verbose\', \'callbacks\', \'validation_data\', \'validation_steps\', \'class_weight\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'shuffle\', \'initial_epoch\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'1\', \'None\', \'None\', \'None\', \'None\', \'10\', \'1\', \'False\', \'True\', \'0\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_layer" + argspec: "args=[\'self\', \'name\', \'index\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "load_weights" + argspec: "args=[\'self\', \'filepath\', \'by_name\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "pop" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], " + } + member_method { + name: "predict_classes" + argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\'], varargs=None, keywords=None, defaults=[\'32\', \'0\'], " + } + member_method { 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defaults=[\'True\', \'None\'], " + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "summary" + argspec: "args=[\'self\', \'line_length\', \'positions\', \'print_fn\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "test_on_batch" + argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "to_json" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "to_yaml" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "train_on_batch" + argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\', \'class_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v1/tensorflow.keras.activations.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.activations.pbtxt new file mode 100644 index 0000000000..2e9de9ebb2 --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.activations.pbtxt @@ -0,0 +1,55 @@ +path: "tensorflow.keras.activations" +tf_module { + member_method { + name: "deserialize" + argspec: "args=[\'name\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "elu" + argspec: "args=[\'x\', \'alpha\'], varargs=None, keywords=None, defaults=[\'1.0\'], " + } + member_method { + name: "get" + argspec: "args=[\'identifier\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "hard_sigmoid" + argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "linear" + argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "relu" + argspec: 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a/tensorflow/tools/api/golden/tensorflow.keras.backend.name_scope.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.backend.name_scope.pbtxt index a2b98b1c27..a2b98b1c27 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.backend.name_scope.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.backend.name_scope.pbtxt diff --git a/tensorflow/tools/api/golden/v1/tensorflow.keras.backend.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.backend.pbtxt new file mode 100644 index 0000000000..126ce8db6a --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.backend.pbtxt @@ -0,0 +1,555 @@ +path: "tensorflow.keras.backend" +tf_module { + member { + name: "name_scope" + mtype: "<type \'type\'>" + } + member_method { + name: "abs" + argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "all" + argspec: "args=[\'x\', \'axis\', \'keepdims\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], " + } + 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name: "softsign" + argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "sparse_categorical_crossentropy" + argspec: "args=[\'target\', \'output\', \'from_logits\', \'axis\'], varargs=None, keywords=None, defaults=[\'False\', \'-1\'], " + } + member_method { + name: "spatial_2d_padding" + argspec: "args=[\'x\', \'padding\', \'data_format\'], varargs=None, keywords=None, defaults=[\'((1, 1), (1, 1))\', \'None\'], " + } + member_method { + name: "spatial_3d_padding" + argspec: "args=[\'x\', \'padding\', \'data_format\'], varargs=None, keywords=None, defaults=[\'((1, 1), (1, 1), (1, 1))\', \'None\'], " + } + member_method { + name: "sqrt" + argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "square" + argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "squeeze" + argspec: "args=[\'x\', \'axis\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "stack" + argspec: "args=[\'x\', \'axis\'], varargs=None, keywords=None, defaults=[\'0\'], " + } + member_method { + name: "std" + argspec: "args=[\'x\', \'axis\', \'keepdims\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], " + } + member_method { + name: "stop_gradient" + argspec: "args=[\'variables\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "sum" + argspec: "args=[\'x\', \'axis\', \'keepdims\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], " + } + member_method { + name: "switch" + argspec: "args=[\'condition\', \'then_expression\', \'else_expression\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "tanh" + argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "temporal_padding" + argspec: "args=[\'x\', \'padding\'], varargs=None, keywords=None, defaults=[\'(1, 1)\'], " + } + member_method { + name: "to_dense" + argspec: "args=[\'tensor\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "transpose" + argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "truncated_normal" + argspec: "args=[\'shape\', \'mean\', \'stddev\', \'dtype\', \'seed\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \'None\'], " + } + member_method { + name: "update" + argspec: "args=[\'x\', \'new_x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "update_add" + argspec: "args=[\'x\', \'increment\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "update_sub" + argspec: "args=[\'x\', \'decrement\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "var" + argspec: "args=[\'x\', \'axis\', \'keepdims\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], " + } + member_method { + name: "variable" + argspec: "args=[\'value\', \'dtype\', \'name\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "zeros" + argspec: "args=[\'shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "zeros_like" + argspec: "args=[\'x\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-base-logger.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-base-logger.pbtxt index 9eee9b3789..9eee9b3789 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-base-logger.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-base-logger.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-c-s-v-logger.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-c-s-v-logger.pbtxt index 5bb949c5bb..5bb949c5bb 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-c-s-v-logger.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-c-s-v-logger.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-callback.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-callback.pbtxt index a5340d52c1..a5340d52c1 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-callback.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-callback.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-early-stopping.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-early-stopping.pbtxt index 7b0ad85eaa..f71292856c 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-early-stopping.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-early-stopping.pbtxt @@ -5,7 +5,7 @@ tf_class { is_instance: "<type \'object\'>" member_method { name: "__init__" - argspec: "args=[\'self\', \'monitor\', \'min_delta\', \'patience\', \'verbose\', \'mode\'], varargs=None, keywords=None, defaults=[\'val_loss\', \'0\', \'0\', \'0\', \'auto\'], " + argspec: "args=[\'self\', \'monitor\', \'min_delta\', \'patience\', \'verbose\', \'mode\', \'baseline\'], varargs=None, keywords=None, defaults=[\'val_loss\', \'0\', \'0\', \'0\', \'auto\', \'None\'], " } member_method { name: "on_batch_begin" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-history.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-history.pbtxt index ee400b31c4..ee400b31c4 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-history.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-history.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-lambda-callback.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-lambda-callback.pbtxt index df8d7b0ef7..df8d7b0ef7 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-lambda-callback.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-lambda-callback.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-learning-rate-scheduler.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-learning-rate-scheduler.pbtxt index ce1a9b694d..ce1a9b694d 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-learning-rate-scheduler.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-learning-rate-scheduler.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-model-checkpoint.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-model-checkpoint.pbtxt index 48bb24a052..48bb24a052 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-model-checkpoint.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-model-checkpoint.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-progbar-logger.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-progbar-logger.pbtxt index d8bb8b2a7d..d8bb8b2a7d 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-progbar-logger.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-progbar-logger.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-reduce-l-r-on-plateau.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-reduce-l-r-on-plateau.pbtxt index dc27af9552..dc27af9552 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-reduce-l-r-on-plateau.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-reduce-l-r-on-plateau.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-remote-monitor.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-remote-monitor.pbtxt index 5a3b791c0a..5a3b791c0a 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-remote-monitor.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-remote-monitor.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-tensor-board.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-tensor-board.pbtxt index 2f52464315..e58ba18c1c 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-tensor-board.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-tensor-board.pbtxt @@ -5,7 +5,7 @@ tf_class { is_instance: "<type \'object\'>" member_method { name: "__init__" - argspec: "args=[\'self\', \'log_dir\', \'histogram_freq\', \'batch_size\', \'write_graph\', \'write_grads\', \'write_images\'], varargs=None, keywords=None, defaults=[\'./logs\', \'0\', \'32\', \'True\', \'False\', \'False\'], " + argspec: "args=[\'self\', \'log_dir\', \'histogram_freq\', \'batch_size\', \'write_graph\', \'write_grads\', \'write_images\', \'embeddings_freq\', \'embeddings_layer_names\', \'embeddings_metadata\', \'embeddings_data\'], varargs=None, keywords=None, defaults=[\'./logs\', \'0\', \'32\', \'True\', \'False\', \'False\', \'0\', \'None\', \'None\', \'None\'], " } member_method { name: "on_batch_begin" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-terminate-on-na-n.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-terminate-on-na-n.pbtxt index 5c2d336353..5c2d336353 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.-terminate-on-na-n.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.-terminate-on-na-n.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.pbtxt index 1e9085e034..1e9085e034 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.callbacks.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.callbacks.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.constraints.-constraint.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.-constraint.pbtxt index 8e07b7d98e..8e07b7d98e 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.constraints.-constraint.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.-constraint.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.constraints.-max-norm.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.-max-norm.pbtxt index 2b81174b6c..2b81174b6c 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.constraints.-max-norm.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.-max-norm.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.constraints.-min-max-norm.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.-min-max-norm.pbtxt index a41eda86ac..a41eda86ac 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.constraints.-min-max-norm.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.-min-max-norm.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.constraints.-non-neg.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.-non-neg.pbtxt index 572e3eea4d..572e3eea4d 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.constraints.-non-neg.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.-non-neg.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.constraints.-unit-norm.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.-unit-norm.pbtxt index fe16c38cc8..fe16c38cc8 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.constraints.-unit-norm.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.-unit-norm.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.constraints.max_norm.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.max_norm.pbtxt index 6650bae07a..6650bae07a 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.constraints.max_norm.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.max_norm.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.constraints.min_max_norm.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.min_max_norm.pbtxt index 9dd3bc92fc..9dd3bc92fc 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.constraints.min_max_norm.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.min_max_norm.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.constraints.non_neg.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.non_neg.pbtxt index a565840939..a565840939 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.constraints.non_neg.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.non_neg.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.constraints.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.pbtxt index 655685956f..655685956f 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.constraints.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.constraints.unit_norm.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.unit_norm.pbtxt index 5cbe0da4c1..5cbe0da4c1 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.constraints.unit_norm.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.constraints.unit_norm.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.datasets.boston_housing.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.datasets.boston_housing.pbtxt index bda31751d4..bda31751d4 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.datasets.boston_housing.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.datasets.boston_housing.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.datasets.cifar10.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.datasets.cifar10.pbtxt index 8a5142f793..8a5142f793 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.datasets.cifar10.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.datasets.cifar10.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.datasets.cifar100.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.datasets.cifar100.pbtxt index 16f184eeb5..16f184eeb5 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.datasets.cifar100.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.datasets.cifar100.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.datasets.fashion_mnist.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.datasets.fashion_mnist.pbtxt index a0e14356fa..a0e14356fa 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.datasets.fashion_mnist.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.datasets.fashion_mnist.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.datasets.imdb.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.datasets.imdb.pbtxt index ff962876b6..ff962876b6 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.datasets.imdb.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.datasets.imdb.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.datasets.mnist.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.datasets.mnist.pbtxt index 530bb07550..530bb07550 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.datasets.mnist.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.datasets.mnist.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.datasets.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.datasets.pbtxt index 36e3aafbe4..36e3aafbe4 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.datasets.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.datasets.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.datasets.reuters.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.datasets.reuters.pbtxt index 2da4a13067..2da4a13067 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.datasets.reuters.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.datasets.reuters.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.estimator.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.estimator.pbtxt index 7a3fb39f77..7a3fb39f77 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.estimator.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.estimator.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.-constant.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.-constant.pbtxt index cbaba78ed5..cbaba78ed5 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.initializers.-constant.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.-constant.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.-identity.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.-identity.pbtxt index a5f7f348de..a5f7f348de 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.initializers.-identity.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.-identity.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.-initializer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.-initializer.pbtxt index 8f10d1698e..8f10d1698e 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.initializers.-initializer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.-initializer.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.-ones.pbtxt 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b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.-random-normal.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.-random-uniform.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.-random-uniform.pbtxt index d98628f422..d98628f422 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.initializers.-random-uniform.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.-random-uniform.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.-truncated-normal.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.-truncated-normal.pbtxt index 86d48257c1..86d48257c1 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.initializers.-truncated-normal.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.-truncated-normal.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.-variance-scaling.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.-variance-scaling.pbtxt index 03f4064b9e..03f4064b9e 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.initializers.-variance-scaling.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.-variance-scaling.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.-zeros.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.-zeros.pbtxt index b6ab68e5be..b6ab68e5be 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.initializers.-zeros.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.-zeros.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.constant.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.constant.pbtxt index bddc37b907..bddc37b907 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.initializers.constant.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.constant.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.identity.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.identity.pbtxt index a4c5a61490..a4c5a61490 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.initializers.identity.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.identity.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.normal.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.normal.pbtxt index 7485772784..7485772784 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.initializers.normal.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.normal.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.ones.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.ones.pbtxt index a89f78d1e1..a89f78d1e1 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.initializers.ones.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.ones.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.orthogonal.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.orthogonal.pbtxt index ee1e9bbae2..ee1e9bbae2 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.initializers.orthogonal.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.orthogonal.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.pbtxt index 14a667870d..8645e54302 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.initializers.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.pbtxt @@ -90,11 +90,11 @@ tf_module { } member_method { name: "glorot_normal" - argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + argspec: "args=[\'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\"], " } member_method { name: "glorot_uniform" - argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + argspec: "args=[\'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\"], " } member_method { name: "he_normal" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.random_normal.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.random_normal.pbtxt index a6df1e87a3..a6df1e87a3 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.initializers.random_normal.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.random_normal.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.random_uniform.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.random_uniform.pbtxt index 37a0fa0d55..37a0fa0d55 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.initializers.random_uniform.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.random_uniform.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.truncated_normal.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.truncated_normal.pbtxt index f97e93f0b7..f97e93f0b7 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.initializers.truncated_normal.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.truncated_normal.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.uniform.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.uniform.pbtxt index 58186b1383..58186b1383 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.initializers.uniform.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.uniform.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.initializers.zeros.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.zeros.pbtxt index a262390687..a262390687 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.initializers.zeros.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.initializers.zeros.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-activation.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-activation.pbtxt index 2bf973debb..86e328888e 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-activation.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-activation.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-activity-regularization.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-activity-regularization.pbtxt index 03f20e72c2..b0ed545781 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-activity-regularization.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-activity-regularization.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-add.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-add.pbtxt index 4b46b8d15a..42f98ed03d 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-add.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-add.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-alpha-dropout.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-alpha-dropout.pbtxt index d8a1c76fd0..000898a4be 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-alpha-dropout.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-alpha-dropout.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-average-pooling1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-average-pooling1-d.pbtxt index 622926bc4b..380b49f99c 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-average-pooling1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-average-pooling1-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-average-pooling2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-average-pooling2-d.pbtxt index 82100d8e09..82db5e6137 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-average-pooling2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-average-pooling2-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-average-pooling3-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-average-pooling3-d.pbtxt index 408061077c..b6ff688ec3 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-average-pooling3-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-average-pooling3-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-average.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-average.pbtxt index a3c8031104..b41290f8b0 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-average.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-average.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-avg-pool1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-avg-pool1-d.pbtxt index e2dfaca29f..88a033e61f 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-avg-pool1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-avg-pool1-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-avg-pool2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-avg-pool2-d.pbtxt index 4f068d2066..c1b9b96044 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-avg-pool2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-avg-pool2-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-avg-pool3-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-avg-pool3-d.pbtxt index b8c261a743..f59f7727a3 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-avg-pool3-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-avg-pool3-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-batch-normalization.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-batch-normalization.pbtxt index 4ccd6cace6..7d3744ed92 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-batch-normalization.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-batch-normalization.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-bidirectional.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-bidirectional.pbtxt index 2790e5fd85..3fd4ccdab2 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-bidirectional.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-bidirectional.pbtxt @@ -107,7 +107,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-concatenate.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-concatenate.pbtxt index b1326bd0e6..ba21b50be4 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-concatenate.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-concatenate.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-conv-l-s-t-m2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-conv-l-s-t-m2-d.pbtxt index e3ac3dbf28..46f9fa2bbb 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-conv-l-s-t-m2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-conv-l-s-t-m2-d.pbtxt @@ -188,7 +188,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-conv1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-conv1-d.pbtxt index 1117a695a3..c3ad326589 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-conv1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-conv1-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-conv2-d-transpose.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-conv2-d-transpose.pbtxt index b9de142142..fd9eb43066 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-conv2-d-transpose.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-conv2-d-transpose.pbtxt @@ -100,7 +100,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-conv2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-conv2-d.pbtxt index deb535e06e..40d61688f2 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-conv2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-conv2-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-conv3-d-transpose.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-conv3-d-transpose.pbtxt index 9a9a223fba..b8c227d725 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-conv3-d-transpose.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-conv3-d-transpose.pbtxt @@ -100,7 +100,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-conv3-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-conv3-d.pbtxt index 1c59b0bdf6..095d35e574 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-conv3-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-conv3-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-convolution1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-convolution1-d.pbtxt index 30cf5489f4..8f99961198 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-convolution1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-convolution1-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-convolution2-d-transpose.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-convolution2-d-transpose.pbtxt index 0ec69508d5..96d522a016 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-convolution2-d-transpose.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-convolution2-d-transpose.pbtxt @@ -100,7 +100,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-convolution2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-convolution2-d.pbtxt index 4cd8928403..de2824dab4 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-convolution2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-convolution2-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-convolution3-d-transpose.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-convolution3-d-transpose.pbtxt index 4b4912496d..1d563241d8 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-convolution3-d-transpose.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-convolution3-d-transpose.pbtxt @@ -100,7 +100,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-convolution3-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-convolution3-d.pbtxt index d0ad9cf567..c87e52c537 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-convolution3-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-convolution3-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-cropping1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-cropping1-d.pbtxt index 98cff95a7f..dccf5523e3 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-cropping1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-cropping1-d.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-cropping2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-cropping2-d.pbtxt index 2357498b46..7ac4116d92 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-cropping2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-cropping2-d.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-cropping3-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-cropping3-d.pbtxt index 3324cbff30..024f72705d 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-cropping3-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-cropping3-d.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-cu-d-n-n-g-r-u.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-cu-d-n-n-g-r-u.pbtxt index 6c81823654..4e0233331b 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-cu-d-n-n-g-r-u.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-cu-d-n-n-g-r-u.pbtxt @@ -108,7 +108,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-cu-d-n-n-l-s-t-m.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-cu-d-n-n-l-s-t-m.pbtxt index 487e04fd07..32d46ce8f3 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-cu-d-n-n-l-s-t-m.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-cu-d-n-n-l-s-t-m.pbtxt @@ -108,7 +108,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-dense.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-dense.pbtxt index 137e7cced4..858486c725 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-dense.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-dense.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-depthwise-conv2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-depthwise-conv2-d.pbtxt index 7161665d25..f65d750926 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-depthwise-conv2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-depthwise-conv2-d.pbtxt @@ -100,7 +100,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-dot.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-dot.pbtxt index 24affa2481..2e71ef503d 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-dot.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-dot.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-dropout.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-dropout.pbtxt index 7ba19a4269..42533bcd21 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-dropout.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-dropout.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-e-l-u.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-e-l-u.pbtxt index 503aa9162c..b5df169417 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-e-l-u.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-e-l-u.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-embedding.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-embedding.pbtxt index 1737e590a2..0ea17919a9 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-embedding.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-embedding.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-flatten.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-flatten.pbtxt index 021d024dc2..a33248bc00 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-flatten.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-flatten.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-g-r-u-cell.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-g-r-u-cell.pbtxt index 65387008bf..4ba21a25cd 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-g-r-u-cell.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-g-r-u-cell.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-g-r-u.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-g-r-u.pbtxt index 4f791acf05..a7a570418e 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-g-r-u.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-g-r-u.pbtxt @@ -171,7 +171,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-gaussian-dropout.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-gaussian-dropout.pbtxt index abc30e54e0..763bc23113 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-gaussian-dropout.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-gaussian-dropout.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-gaussian-noise.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-gaussian-noise.pbtxt index 20791bb448..3c50a3d7f2 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-gaussian-noise.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-gaussian-noise.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-average-pooling1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-average-pooling1-d.pbtxt index 449a91d873..ac78bdafad 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-average-pooling1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-average-pooling1-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-average-pooling2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-average-pooling2-d.pbtxt index bb361e1297..275282d9d2 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-average-pooling2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-average-pooling2-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-average-pooling3-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-average-pooling3-d.pbtxt index e564bf3216..0e31e6058b 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-average-pooling3-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-average-pooling3-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-avg-pool1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-avg-pool1-d.pbtxt index 4cb9cc3ec8..aacd0b1791 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-avg-pool1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-avg-pool1-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-avg-pool2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-avg-pool2-d.pbtxt index 5ed52b88ae..c236548663 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-avg-pool2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-avg-pool2-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-avg-pool3-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-avg-pool3-d.pbtxt index f4559d29d7..6b9c0290aa 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-avg-pool3-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-avg-pool3-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-max-pool1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-max-pool1-d.pbtxt index 64e2d061e2..0d7b2211e6 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-max-pool1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-max-pool1-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-max-pool2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-max-pool2-d.pbtxt index 3372ad6453..d080ad6aed 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-max-pool2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-max-pool2-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-max-pool3-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-max-pool3-d.pbtxt index 08a6860bcd..fcb0a109da 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-max-pool3-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-max-pool3-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-max-pooling1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-max-pooling1-d.pbtxt index 22c9eab64f..1d0e22abd0 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-max-pooling1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-max-pooling1-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-max-pooling2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-max-pooling2-d.pbtxt index 74c405ba9b..653c9f547b 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-max-pooling2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-max-pooling2-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-max-pooling3-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-max-pooling3-d.pbtxt index 39f6f98193..cdbaf82cf6 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-global-max-pooling3-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-global-max-pooling3-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-input-layer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-input-layer.pbtxt index 7b25e80b6b..230c5e9034 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-input-layer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-input-layer.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-input-spec.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-input-spec.pbtxt index 5fd0a47a68..5fd0a47a68 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-input-spec.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-input-spec.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-l-s-t-m-cell.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-l-s-t-m-cell.pbtxt index 3619b8bfc4..511456e740 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-l-s-t-m-cell.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-l-s-t-m-cell.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-l-s-t-m.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-l-s-t-m.pbtxt index 8ef3d71dd8..4a3492ebd6 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-l-s-t-m.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-l-s-t-m.pbtxt @@ -171,7 +171,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-lambda.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-lambda.pbtxt new file mode 100644 index 0000000000..2dff7a6de4 --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-lambda.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.Lambda" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.core.Lambda\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'function\', \'output_shape\', \'mask\', \'arguments\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-layer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-layer.pbtxt index 9b90db1e5e..7efa29be77 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-layer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-layer.pbtxt @@ -97,7 +97,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-leaky-re-l-u.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-leaky-re-l-u.pbtxt index 3c60eaab7f..0ca8e0b52c 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-leaky-re-l-u.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-leaky-re-l-u.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-locally-connected1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-locally-connected1-d.pbtxt index 3dac1ff342..f754fa1da8 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-locally-connected1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-locally-connected1-d.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-locally-connected2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-locally-connected2-d.pbtxt index 7f1b5db4d3..c9516b8f07 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-locally-connected2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-locally-connected2-d.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-masking.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-masking.pbtxt index b3e31000f3..850ecff974 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-masking.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-masking.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-max-pool1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-max-pool1-d.pbtxt index bbd9d1b0dc..7c69e31f9a 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-max-pool1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-max-pool1-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-max-pool2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-max-pool2-d.pbtxt index fe72beea80..fba42642d7 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-max-pool2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-max-pool2-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-max-pool3-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-max-pool3-d.pbtxt index e9bf57b2b0..9c277411ea 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-max-pool3-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-max-pool3-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-max-pooling1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-max-pooling1-d.pbtxt index 0eecc58a2b..7c2f6ccc8a 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-max-pooling1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-max-pooling1-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-max-pooling2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-max-pooling2-d.pbtxt index 96785a7d85..802178dba6 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-max-pooling2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-max-pooling2-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-max-pooling3-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-max-pooling3-d.pbtxt index 42c46cccb3..e870dfe9ad 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-max-pooling3-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-max-pooling3-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-maximum.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-maximum.pbtxt index ac816f68d4..c1337ce0cb 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-maximum.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-maximum.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-minimum.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-minimum.pbtxt index 56e32e9d36..ed27a62765 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-minimum.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-minimum.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-multiply.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-multiply.pbtxt index 9ae99563e9..b9f05cb3e5 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-multiply.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-multiply.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-p-re-l-u.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-p-re-l-u.pbtxt index 815f3bc2d1..336d9f76fb 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-p-re-l-u.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-p-re-l-u.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-permute.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-permute.pbtxt index e704992b4a..46282217e0 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-permute.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-permute.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-r-n-n.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-r-n-n.pbtxt index b3a58fa11e..42cd7e87ee 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-r-n-n.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-r-n-n.pbtxt @@ -102,7 +102,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-re-l-u.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-re-l-u.pbtxt new file mode 100644 index 0000000000..4d3de58bd1 --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-re-l-u.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.ReLU" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.advanced_activations.ReLU\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'max_value\', \'negative_slope\', \'threshold\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'0\', \'0\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-repeat-vector.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-repeat-vector.pbtxt index 78f464583b..9f094a877a 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-repeat-vector.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-repeat-vector.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-reshape.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-reshape.pbtxt index 222344fd04..2f519a2438 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-reshape.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-reshape.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-separable-conv1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-separable-conv1-d.pbtxt index 55fddf576c..6b93116ba0 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-separable-conv1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-separable-conv1-d.pbtxt @@ -100,7 +100,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-separable-conv2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-separable-conv2-d.pbtxt index 96314ce498..fd17115e27 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-separable-conv2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-separable-conv2-d.pbtxt @@ -100,7 +100,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-separable-convolution1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-separable-convolution1-d.pbtxt index 88bdf99566..4b37a94478 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-separable-convolution1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-separable-convolution1-d.pbtxt @@ -100,7 +100,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-separable-convolution2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-separable-convolution2-d.pbtxt index 6eeea7a8d1..5bdadca74a 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-separable-convolution2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-separable-convolution2-d.pbtxt @@ -100,7 +100,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-simple-r-n-n-cell.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-simple-r-n-n-cell.pbtxt index 3050d46249..9dfda96fc8 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-simple-r-n-n-cell.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-simple-r-n-n-cell.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-simple-r-n-n.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-simple-r-n-n.pbtxt index dda4c9358b..7b7684ccd2 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-simple-r-n-n.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-simple-r-n-n.pbtxt @@ -159,7 +159,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-softmax.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-softmax.pbtxt index cc6275158b..3b15407fca 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-softmax.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-softmax.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-spatial-dropout1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-spatial-dropout1-d.pbtxt index 5eb7e75047..6d04415267 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-spatial-dropout1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-spatial-dropout1-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-spatial-dropout2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-spatial-dropout2-d.pbtxt index 500cb8c14e..04950654d5 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-spatial-dropout2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-spatial-dropout2-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-spatial-dropout3-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-spatial-dropout3-d.pbtxt index 1113a7634f..c424e6dcc8 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-spatial-dropout3-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-spatial-dropout3-d.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-stacked-r-n-n-cells.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-stacked-r-n-n-cells.pbtxt index c4b9f93561..1160d2840f 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-stacked-r-n-n-cells.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-stacked-r-n-n-cells.pbtxt @@ -102,7 +102,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-subtract.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-subtract.pbtxt index 35ad87ad5d..740a03367b 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-subtract.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-subtract.pbtxt @@ -99,7 +99,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-thresholded-re-l-u.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-thresholded-re-l-u.pbtxt index 282c98d79a..a08c583adb 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-thresholded-re-l-u.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-thresholded-re-l-u.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-time-distributed.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-time-distributed.pbtxt index acab93706b..c1294fed0f 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-time-distributed.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-time-distributed.pbtxt @@ -103,7 +103,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-up-sampling1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-up-sampling1-d.pbtxt index a5ec228a07..dc401d3ed0 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-up-sampling1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-up-sampling1-d.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-up-sampling2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-up-sampling2-d.pbtxt index d8d8e0bfe9..4b5165ae97 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-up-sampling2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-up-sampling2-d.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-up-sampling3-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-up-sampling3-d.pbtxt index 97d6dc06fb..789af15fea 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-up-sampling3-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-up-sampling3-d.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-wrapper.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-wrapper.pbtxt index ea9bb41b99..0536a7cee7 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-wrapper.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-wrapper.pbtxt @@ -102,7 +102,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-zero-padding1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-zero-padding1-d.pbtxt index e6d1d2e089..8915353ec3 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-zero-padding1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-zero-padding1-d.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-zero-padding2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-zero-padding2-d.pbtxt index f62017305f..6efb5ef15a 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-zero-padding2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-zero-padding2-d.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-zero-padding3-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-zero-padding3-d.pbtxt index 07a1fde5bd..4c33c5d0bf 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-zero-padding3-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.-zero-padding3-d.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.pbtxt index 9d7e5bb8c7..9d7e5bb8c7 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.layers.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.losses.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.losses.pbtxt index eca6b91538..eca6b91538 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.losses.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.losses.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.metrics.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.metrics.pbtxt index a97a9b5758..73b577da37 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.metrics.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.metrics.pbtxt @@ -22,7 +22,7 @@ tf_module { } member_method { name: "binary_accuracy" - argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + argspec: "args=[\'y_true\', \'y_pred\', \'threshold\'], varargs=None, keywords=None, defaults=[\'0.5\'], " } member_method { name: "binary_crossentropy" diff --git a/tensorflow/tools/api/golden/v1/tensorflow.keras.models.-model.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.models.-model.pbtxt new file mode 100644 index 0000000000..56914e1746 --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.models.-model.pbtxt @@ -0,0 +1,268 @@ +path: "tensorflow.keras.models.Model" +tf_class { + is_instance: "<class \'tensorflow.python.keras.engine.training.Model\'>" + is_instance: "<class \'tensorflow.python.keras.engine.network.Network\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "input_spec" + mtype: "<type \'property\'>" + } + member { + name: "layers" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "state_updates" + mtype: "<type \'property\'>" + } + member { + name: "stateful" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "uses_learning_phase" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compile" + argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\', \'distribute\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'verbose\', \'sample_weight\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'1\', \'None\', \'None\'], " + } + member_method { + name: "evaluate_generator" + argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], " + } + member_method { + name: "fit" + argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'epochs\', \'verbose\', \'callbacks\', \'validation_split\', \'validation_data\', \'shuffle\', \'class_weight\', \'sample_weight\', \'initial_epoch\', \'steps_per_epoch\', \'validation_steps\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'1\', \'1\', \'None\', \'0.0\', \'None\', \'True\', \'None\', \'None\', \'0\', \'None\', \'None\'], " + } + member_method { + name: "fit_generator" + argspec: "args=[\'self\', \'generator\', \'steps_per_epoch\', \'epochs\', \'verbose\', \'callbacks\', \'validation_data\', \'validation_steps\', \'class_weight\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'shuffle\', \'initial_epoch\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'1\', \'None\', \'None\', \'None\', \'None\', \'10\', \'1\', \'False\', \'True\', \'0\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_layer" + argspec: "args=[\'self\', \'name\', \'index\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "load_weights" + argspec: "args=[\'self\', \'filepath\', \'by_name\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], " + } + member_method { + name: "predict_generator" + argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], " + } + member_method { + name: "predict_on_batch" + argspec: "args=[\'self\', \'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "reset_states" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "save" + argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'include_optimizer\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], " + } + member_method { + name: "save_weights" + argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'save_format\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], " + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "summary" + argspec: "args=[\'self\', \'line_length\', \'positions\', \'print_fn\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "test_on_batch" + argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "to_json" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "to_yaml" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "train_on_batch" + argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\', \'class_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v1/tensorflow.keras.models.-sequential.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.models.-sequential.pbtxt new file mode 100644 index 0000000000..acfb3521c0 --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.models.-sequential.pbtxt @@ -0,0 +1,285 @@ +path: "tensorflow.keras.models.Sequential" +tf_class { + is_instance: "<class \'tensorflow.python.keras.engine.sequential.Sequential\'>" + is_instance: "<class \'tensorflow.python.keras.engine.training.Model\'>" + is_instance: "<class \'tensorflow.python.keras.engine.network.Network\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "input_spec" + mtype: "<type \'property\'>" + } + member { + name: "layers" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "state_updates" + mtype: "<type \'property\'>" + } + member { + name: "stateful" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "uses_learning_phase" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'layers\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "add" + argspec: "args=[\'self\', \'layer\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compile" + argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\', \'distribute\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'verbose\', \'sample_weight\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'1\', \'None\', \'None\'], " + } + member_method { + name: "evaluate_generator" + argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], " + } + member_method { + name: "fit" + argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'epochs\', \'verbose\', \'callbacks\', \'validation_split\', \'validation_data\', \'shuffle\', \'class_weight\', \'sample_weight\', \'initial_epoch\', \'steps_per_epoch\', \'validation_steps\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'1\', \'1\', \'None\', \'0.0\', \'None\', \'True\', \'None\', \'None\', \'0\', \'None\', \'None\'], " + } + member_method { + name: "fit_generator" + argspec: "args=[\'self\', \'generator\', \'steps_per_epoch\', \'epochs\', \'verbose\', \'callbacks\', \'validation_data\', \'validation_steps\', \'class_weight\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'shuffle\', \'initial_epoch\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'1\', \'None\', \'None\', \'None\', \'None\', \'10\', \'1\', \'False\', \'True\', \'0\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_layer" + argspec: "args=[\'self\', \'name\', \'index\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "load_weights" + argspec: "args=[\'self\', \'filepath\', \'by_name\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "pop" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], " + } + member_method { + name: "predict_classes" + argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\'], varargs=None, keywords=None, defaults=[\'32\', \'0\'], " + } + member_method { + name: "predict_generator" + argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], " + } + member_method { + name: "predict_on_batch" + argspec: "args=[\'self\', \'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict_proba" + argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\'], varargs=None, keywords=None, defaults=[\'32\', \'0\'], " + } + member_method { + name: "reset_states" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "save" + argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'include_optimizer\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], " + } + member_method { + name: "save_weights" + argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'save_format\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], " + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "summary" + argspec: "args=[\'self\', \'line_length\', \'positions\', \'print_fn\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "test_on_batch" + argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "to_json" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "to_yaml" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "train_on_batch" + argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\', \'class_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.keras.models.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.models.pbtxt index 8ba0e7480b..8ba0e7480b 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.models.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.models.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-adadelta.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-adadelta.pbtxt index b9ce154bdd..b9ce154bdd 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-adadelta.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-adadelta.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-adagrad.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-adagrad.pbtxt index d0dc9e37a3..d0dc9e37a3 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-adagrad.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-adagrad.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-adam.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-adam.pbtxt index 06815fa99a..06815fa99a 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-adam.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-adam.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-adamax.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-adamax.pbtxt index 47b55fdb44..47b55fdb44 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-adamax.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-adamax.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-nadam.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-nadam.pbtxt index 8c63a7dda9..8c63a7dda9 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-nadam.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-nadam.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-optimizer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-optimizer.pbtxt index 53d64dae93..53d64dae93 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-optimizer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-optimizer.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-r-m-sprop.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-r-m-sprop.pbtxt index a1e9b8cceb..a1e9b8cceb 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-r-m-sprop.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-r-m-sprop.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-s-g-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-s-g-d.pbtxt index a67fefb1ba..a67fefb1ba 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.-s-g-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.-s-g-d.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.pbtxt index 7257b02087..7257b02087 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.optimizers.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.optimizers.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.pbtxt index 754b3b84b0..754b3b84b0 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.regularizers.-l1-l2.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.regularizers.-l1-l2.pbtxt index a45fb7b55e..a45fb7b55e 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.regularizers.-l1-l2.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.regularizers.-l1-l2.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.regularizers.-regularizer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.regularizers.-regularizer.pbtxt index 641001a646..641001a646 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.regularizers.-regularizer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.regularizers.-regularizer.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.regularizers.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.regularizers.pbtxt index bb10d41d70..bb10d41d70 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.regularizers.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.regularizers.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.utils.-custom-object-scope.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.utils.-custom-object-scope.pbtxt index 109682046b..109682046b 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.utils.-custom-object-scope.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.utils.-custom-object-scope.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.utils.-generator-enqueuer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.utils.-generator-enqueuer.pbtxt index 939fd547d0..939fd547d0 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.utils.-generator-enqueuer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.utils.-generator-enqueuer.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.utils.-h-d-f5-matrix.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.utils.-h-d-f5-matrix.pbtxt index 6b832051a9..6b832051a9 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.utils.-h-d-f5-matrix.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.utils.-h-d-f5-matrix.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.utils.-progbar.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.utils.-progbar.pbtxt index be4496e753..be4496e753 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.utils.-progbar.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.utils.-progbar.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.utils.-sequence-enqueuer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.utils.-sequence-enqueuer.pbtxt index a9e499d100..a9e499d100 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.utils.-sequence-enqueuer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.utils.-sequence-enqueuer.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.utils.-sequence.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.utils.-sequence.pbtxt index e2dc932dc8..e2dc932dc8 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.utils.-sequence.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.utils.-sequence.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.utils.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.utils.pbtxt index 4d7a1519ce..4d7a1519ce 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.utils.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.utils.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.wrappers.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.wrappers.pbtxt index 0b2fac9b7d..0b2fac9b7d 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.wrappers.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.wrappers.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.wrappers.scikit_learn.-keras-classifier.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.wrappers.scikit_learn.-keras-classifier.pbtxt index 67cca3af41..67cca3af41 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.wrappers.scikit_learn.-keras-classifier.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.wrappers.scikit_learn.-keras-classifier.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.wrappers.scikit_learn.-keras-regressor.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.wrappers.scikit_learn.-keras-regressor.pbtxt index f4b9b7e277..f4b9b7e277 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.wrappers.scikit_learn.-keras-regressor.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.wrappers.scikit_learn.-keras-regressor.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.wrappers.scikit_learn.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.keras.wrappers.scikit_learn.pbtxt index fbd4d13387..fbd4d13387 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.wrappers.scikit_learn.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.keras.wrappers.scikit_learn.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-average-pooling1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.-average-pooling1-d.pbtxt index 11067058d5..c82e67526b 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.-average-pooling1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.-average-pooling1-d.pbtxt @@ -109,7 +109,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-average-pooling2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.-average-pooling2-d.pbtxt index 3259e706d7..1d031cb5f8 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.-average-pooling2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.-average-pooling2-d.pbtxt @@ -109,7 +109,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-average-pooling3-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.-average-pooling3-d.pbtxt index e561f2f415..a8dda6655d 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.-average-pooling3-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.-average-pooling3-d.pbtxt @@ -109,7 +109,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-batch-normalization.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.-batch-normalization.pbtxt index 3124a35c78..97f65ed894 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.-batch-normalization.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.-batch-normalization.pbtxt @@ -108,7 +108,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-conv1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.-conv1-d.pbtxt index b5ec61255a..ccd9578f0d 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.-conv1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.-conv1-d.pbtxt @@ -109,7 +109,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-conv2-d-transpose.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.-conv2-d-transpose.pbtxt index b2c89ae66f..9cbb58d721 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.-conv2-d-transpose.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.-conv2-d-transpose.pbtxt @@ -110,7 +110,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-conv2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.-conv2-d.pbtxt index 9e4f4969dc..c75ea3911e 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.-conv2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.-conv2-d.pbtxt @@ -109,7 +109,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-conv3-d-transpose.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.-conv3-d-transpose.pbtxt index 9850e6d765..5dc834e514 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.-conv3-d-transpose.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.-conv3-d-transpose.pbtxt @@ -110,7 +110,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-conv3-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.-conv3-d.pbtxt index be113826cc..96ab209874 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.-conv3-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.-conv3-d.pbtxt @@ -109,7 +109,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-dense.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.-dense.pbtxt index 0d951bf633..7e9656b352 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.-dense.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.-dense.pbtxt @@ -108,7 +108,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-dropout.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.-dropout.pbtxt index f1beeed9ef..e9a2269a6e 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.-dropout.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.-dropout.pbtxt @@ -108,7 +108,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-flatten.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.-flatten.pbtxt index b75a012811..7d2eaaab2a 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.-flatten.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.-flatten.pbtxt @@ -108,7 +108,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-input-spec.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.-input-spec.pbtxt index fd02c919ae..fd02c919ae 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.-input-spec.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.-input-spec.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-layer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.-layer.pbtxt index 80e0fb228b..8bc3eb26e9 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.-layer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.-layer.pbtxt @@ -106,7 +106,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-max-pooling1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.-max-pooling1-d.pbtxt index 50ff484d73..6a0dcce56a 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.-max-pooling1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.-max-pooling1-d.pbtxt @@ -109,7 +109,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-max-pooling2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.-max-pooling2-d.pbtxt index cea809744c..b6c84edf2a 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.-max-pooling2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.-max-pooling2-d.pbtxt @@ -109,7 +109,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-max-pooling3-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.-max-pooling3-d.pbtxt index ab9e89554c..062a02fa59 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.-max-pooling3-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.-max-pooling3-d.pbtxt @@ -109,7 +109,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-separable-conv1-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.-separable-conv1-d.pbtxt index 4362568445..eaad0fb23e 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.-separable-conv1-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.-separable-conv1-d.pbtxt @@ -110,7 +110,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-separable-conv2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.-separable-conv2-d.pbtxt index 3cad824cd3..ece28a8ce9 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.-separable-conv2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.-separable-conv2-d.pbtxt @@ -110,7 +110,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.layers.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.layers.pbtxt index df74c32e1f..df74c32e1f 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.layers.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-block-diag.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-block-diag.__metaclass__.pbtxt index b6dee63176..b6dee63176 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-block-diag.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-block-diag.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-block-diag.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-block-diag.pbtxt index 973705dae2..973705dae2 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-block-diag.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-block-diag.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-circulant.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-circulant.__metaclass__.pbtxt index 3b33f3da97..3b33f3da97 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-circulant.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-circulant.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-circulant.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-circulant.pbtxt index de917706d5..de917706d5 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-circulant.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-circulant.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-circulant2-d.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-circulant2-d.__metaclass__.pbtxt index 591bc9631a..591bc9631a 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-circulant2-d.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-circulant2-d.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-circulant2-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-circulant2-d.pbtxt index c4e6a21c3a..c4e6a21c3a 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-circulant2-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-circulant2-d.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-circulant3-d.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-circulant3-d.__metaclass__.pbtxt index d643139a53..d643139a53 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-circulant3-d.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-circulant3-d.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-circulant3-d.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-circulant3-d.pbtxt index 2e085a8e28..2e085a8e28 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-circulant3-d.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-circulant3-d.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-composition.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-composition.__metaclass__.pbtxt index 1adbcb41ad..1adbcb41ad 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-composition.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-composition.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-composition.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-composition.pbtxt index 42d22bce42..42d22bce42 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-composition.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-composition.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-diag.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-diag.__metaclass__.pbtxt index 023d90ccdb..023d90ccdb 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-diag.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-diag.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-diag.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-diag.pbtxt index d6749fdcec..d6749fdcec 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-diag.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-diag.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-full-matrix.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-full-matrix.__metaclass__.pbtxt index 381072e76c..381072e76c 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-full-matrix.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-full-matrix.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-full-matrix.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-full-matrix.pbtxt index d9f363d133..d9f363d133 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-full-matrix.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-full-matrix.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-identity.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-identity.__metaclass__.pbtxt index 5d115b35fb..5d115b35fb 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-identity.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-identity.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-identity.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-identity.pbtxt index aac7ee31ed..aac7ee31ed 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-identity.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-identity.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-kronecker.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-kronecker.__metaclass__.pbtxt index 5c6784dd02..5c6784dd02 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-kronecker.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-kronecker.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-kronecker.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-kronecker.pbtxt index c11d390829..c11d390829 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-kronecker.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-kronecker.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-low-rank-update.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-low-rank-update.__metaclass__.pbtxt index 1f0d33298a..1f0d33298a 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-low-rank-update.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-low-rank-update.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-low-rank-update.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-low-rank-update.pbtxt index 3ee800269e..3ee800269e 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-low-rank-update.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-low-rank-update.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-lower-triangular.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-lower-triangular.__metaclass__.pbtxt index 2683430f4f..2683430f4f 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-lower-triangular.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-lower-triangular.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-lower-triangular.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-lower-triangular.pbtxt index 63a1bc2321..63a1bc2321 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-lower-triangular.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-lower-triangular.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-scaled-identity.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-scaled-identity.__metaclass__.pbtxt index 38bf7ad586..38bf7ad586 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-scaled-identity.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-scaled-identity.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-scaled-identity.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-scaled-identity.pbtxt index e2c5a505a7..e2c5a505a7 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator-scaled-identity.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-scaled-identity.pbtxt diff --git a/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-zeros.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-zeros.__metaclass__.pbtxt new file mode 100644 index 0000000000..49ff85728f --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-zeros.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.linalg.LinearOperatorZeros.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-zeros.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-zeros.pbtxt new file mode 100644 index 0000000000..a1b0e06b47 --- /dev/null +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator-zeros.pbtxt @@ -0,0 +1,130 @@ +path: "tensorflow.linalg.LinearOperatorZeros" +tf_class { + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_zeros.LinearOperatorZeros\'>" + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>" + is_instance: "<type \'object\'>" + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "domain_dimension" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph_parents" + mtype: "<type \'property\'>" + } + member { + name: "is_non_singular" + mtype: "<type \'property\'>" + } + member { + name: "is_positive_definite" + mtype: "<type \'property\'>" + } + member { + name: "is_self_adjoint" + mtype: "<type \'property\'>" + } + member { + name: "is_square" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "range_dimension" + mtype: "<type \'property\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member { + name: "tensor_rank" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'num_rows\', \'num_columns\', \'batch_shape\', \'dtype\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'assert_proper_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'False\', \'True\', \'False\', \'True\', \'False\', \'LinearOperatorZeros\'], " + } + member_method { + name: "add_to_tensor" + argspec: "args=[\'self\', \'mat\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], " + } + member_method { + name: "assert_non_singular" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], " + } + member_method { + name: "assert_positive_definite" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], " + } + member_method { + name: "assert_self_adjoint" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], " + } + member_method { + name: "diag_part" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], " + } + member_method { + name: "domain_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], " + } + member_method { + name: "log_abs_determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], " + } + member_method { + name: "matmul" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], " + } + member_method { + name: "matvec" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], " + } + member_method { + name: "range_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], " + } + member_method { + name: "shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], " + } + member_method { + name: "solve" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], " + } + member_method { + name: "solvevec" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], " + } + member_method { + name: "tensor_rank_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], " + } + member_method { + name: "to_dense" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], " + } + member_method { + name: "trace" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], " + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator.__metaclass__.pbtxt index 38da809b36..38da809b36 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator.__metaclass__.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator.__metaclass__.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator.pbtxt index 6d849dc040..6d849dc040 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.-linear-operator.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.-linear-operator.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.linalg.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.linalg.pbtxt index 3b5845f99a..d979116887 100644 --- a/tensorflow/tools/api/golden/tensorflow.linalg.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.linalg.pbtxt @@ -52,6 +52,10 @@ tf_module { name: "LinearOperatorScaledIdentity" mtype: "<class \'abc.ABCMeta\'>" } + member { + name: "LinearOperatorZeros" + mtype: "<class \'abc.ABCMeta\'>" + } member_method { name: "adjoint" argspec: "args=[\'matrix\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " diff --git a/tensorflow/tools/api/golden/tensorflow.logging.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.logging.pbtxt index 85bb15455d..85bb15455d 100644 --- a/tensorflow/tools/api/golden/tensorflow.logging.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.logging.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.losses.-reduction.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.losses.-reduction.pbtxt index 258ad5047e..258ad5047e 100644 --- a/tensorflow/tools/api/golden/tensorflow.losses.-reduction.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.losses.-reduction.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.losses.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.losses.pbtxt index c1d190ae11..c1d190ae11 100644 --- a/tensorflow/tools/api/golden/tensorflow.losses.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.losses.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.manip.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.manip.pbtxt index 9add462396..9add462396 100644 --- a/tensorflow/tools/api/golden/tensorflow.manip.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.manip.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.math.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.math.pbtxt index 25573cb494..a308c76ebc 100644 --- a/tensorflow/tools/api/golden/tensorflow.math.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.math.pbtxt @@ -34,7 +34,7 @@ tf_module { } member_method { name: "bessel_i0" - argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'bessel_i0\'], " + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " } member_method { name: "bessel_i0e" @@ -42,7 +42,7 @@ tf_module { } member_method { name: "bessel_i1" - argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'bessel_i1\'], " + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " } member_method { name: "bessel_i1e" diff --git a/tensorflow/tools/api/golden/tensorflow.metrics.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.metrics.pbtxt index e9b996c9f5..e9b996c9f5 100644 --- a/tensorflow/tools/api/golden/tensorflow.metrics.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.metrics.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.name_scope.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.name_scope.pbtxt index 8041897013..8041897013 100644 --- a/tensorflow/tools/api/golden/tensorflow.name_scope.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.name_scope.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.nn.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.nn.pbtxt index 455590d866..d9e5b0d0fc 100644 --- a/tensorflow/tools/api/golden/tensorflow.nn.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.nn.pbtxt @@ -261,6 +261,10 @@ tf_module { argspec: "args=[\'x\', \'weights\', \'biases\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " } member_method { + name: "safe_embedding_lookup_sparse" + argspec: "args=[\'embedding_weights\', \'sparse_ids\', \'sparse_weights\', \'combiner\', \'default_id\', \'name\', \'partition_strategy\', \'max_norm\'], varargs=None, keywords=None, defaults=[\'None\', \'mean\', \'None\', \'None\', \'div\', \'None\'], " + } + member_method { name: "sampled_softmax_loss" argspec: "args=[\'weights\', \'biases\', \'labels\', \'inputs\', \'num_sampled\', \'num_classes\', \'num_true\', \'sampled_values\', \'remove_accidental_hits\', \'partition_strategy\', \'name\', \'seed\'], varargs=None, keywords=None, defaults=[\'1\', \'None\', \'True\', \'mod\', \'sampled_softmax_loss\', \'None\'], " } diff --git a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-basic-l-s-t-m-cell.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-basic-l-s-t-m-cell.pbtxt index a8d9e120cb..c74773000a 100644 --- a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-basic-l-s-t-m-cell.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-basic-l-s-t-m-cell.pbtxt @@ -117,7 +117,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-basic-r-n-n-cell.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-basic-r-n-n-cell.pbtxt index c039890e1f..d251f54806 100644 --- a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-basic-r-n-n-cell.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-basic-r-n-n-cell.pbtxt @@ -117,7 +117,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-device-wrapper.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-device-wrapper.pbtxt index 62c393de34..8a63b49180 100644 --- a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-device-wrapper.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-device-wrapper.pbtxt @@ -116,7 +116,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-dropout-wrapper.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-dropout-wrapper.pbtxt index f121ba7939..db1aae2757 100644 --- a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-dropout-wrapper.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-dropout-wrapper.pbtxt @@ -120,7 +120,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-g-r-u-cell.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-g-r-u-cell.pbtxt index 4583dc32b2..d76eab7eb8 100644 --- a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-g-r-u-cell.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-g-r-u-cell.pbtxt @@ -117,7 +117,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-l-s-t-m-cell.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-l-s-t-m-cell.pbtxt index 5016b6ac30..944db6ac93 100644 --- a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-l-s-t-m-cell.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-l-s-t-m-cell.pbtxt @@ -117,7 +117,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-l-s-t-m-state-tuple.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-l-s-t-m-state-tuple.pbtxt index 1de8a55dcc..1de8a55dcc 100644 --- a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-l-s-t-m-state-tuple.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-l-s-t-m-state-tuple.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-multi-r-n-n-cell.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-multi-r-n-n-cell.pbtxt index 59623fc983..72b40cc9f7 100644 --- a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-multi-r-n-n-cell.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-multi-r-n-n-cell.pbtxt @@ -116,7 +116,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-r-n-n-cell.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-r-n-n-cell.pbtxt index e2ab5aaee9..a5c2b4aefd 100644 --- a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-r-n-n-cell.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-r-n-n-cell.pbtxt @@ -115,7 +115,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-residual-wrapper.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-residual-wrapper.pbtxt index bd2a6d61f8..61d5f04b22 100644 --- a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.-residual-wrapper.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.-residual-wrapper.pbtxt @@ -116,7 +116,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.pbtxt index 64697e8a02..64697e8a02 100644 --- a/tensorflow/tools/api/golden/tensorflow.nn.rnn_cell.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.nn.rnn_cell.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.ones_initializer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.ones_initializer.pbtxt index 210b56242b..210b56242b 100644 --- a/tensorflow/tools/api/golden/tensorflow.ones_initializer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.ones_initializer.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.orthogonal_initializer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.orthogonal_initializer.pbtxt index 13ec7454f4..13ec7454f4 100644 --- a/tensorflow/tools/api/golden/tensorflow.orthogonal_initializer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.orthogonal_initializer.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.pbtxt index 20d61aae9d..5eb42b4db3 100644 --- a/tensorflow/tools/api/golden/tensorflow.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.pbtxt @@ -258,13 +258,21 @@ tf_module { } member { name: "Variable" - mtype: "<type \'type\'>" + mtype: "<class \'tensorflow.python.ops.variables.VariableMetaclass\'>" + } + member { + name: "VariableAggregation" + mtype: "<class \'enum.EnumMeta\'>" } member { name: "VariableScope" mtype: "<type \'type\'>" } member { + name: "VariableSynchronization" + mtype: "<class \'enum.EnumMeta\'>" + } + member { name: "WholeFileReader" mtype: "<type \'type\'>" } @@ -1150,7 +1158,7 @@ tf_module { } member_method { name: "get_local_variable" - argspec: "args=[\'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'collections\', \'caching_device\', \'partitioner\', \'validate_shape\', \'use_resource\', \'custom_getter\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'False\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'collections\', \'caching_device\', \'partitioner\', \'validate_shape\', \'use_resource\', \'synchronization\', \'aggregation\', \'custom_getter\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'False\', \'None\', \'None\', \'None\', \'True\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\', \'None\'], " } member_method { name: "get_seed" @@ -1166,7 +1174,7 @@ tf_module { } member_method { name: "get_variable" - argspec: "args=[\'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'collections\', \'caching_device\', \'partitioner\', \'validate_shape\', \'use_resource\', \'custom_getter\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'collections\', \'caching_device\', \'partitioner\', \'validate_shape\', \'use_resource\', \'custom_getter\', \'constraint\', \'synchronization\', \'aggregation\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], " } member_method { name: "get_variable_scope" @@ -1310,7 +1318,7 @@ tf_module { } member_method { name: "lbeta" - argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'lbeta\'], " + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " } member_method { name: "less" @@ -1553,10 +1561,6 @@ tf_module { argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " } member_method { - name: "print" - argspec: "args=[\'input_\', \'data\', \'message\', \'first_n\', \'summarize\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " - } - member_method { name: "py_func" argspec: "args=[\'func\', \'inp\', \'Tout\', \'stateful\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], " } @@ -2190,7 +2194,7 @@ tf_module { } member_method { name: "while_loop" - argspec: "args=[\'cond\', \'body\', \'loop_vars\', \'shape_invariants\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'name\', \'maximum_iterations\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'None\', \'None\'], " + argspec: "args=[\'cond\', \'body\', \'loop_vars\', \'shape_invariants\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'name\', \'maximum_iterations\', \'return_same_structure\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'None\', \'None\', \'False\'], " } member_method { name: "write_file" diff --git a/tensorflow/tools/api/golden/tensorflow.profiler.-advice-proto.-checker.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-advice-proto.-checker.pbtxt index e09c44cc9c..e09c44cc9c 100644 --- a/tensorflow/tools/api/golden/tensorflow.profiler.-advice-proto.-checker.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-advice-proto.-checker.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.profiler.-advice-proto.-checkers-entry.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-advice-proto.-checkers-entry.pbtxt index 8746243549..8746243549 100644 --- a/tensorflow/tools/api/golden/tensorflow.profiler.-advice-proto.-checkers-entry.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-advice-proto.-checkers-entry.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.profiler.-advice-proto.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-advice-proto.pbtxt index a8a8858ccd..a8a8858ccd 100644 --- a/tensorflow/tools/api/golden/tensorflow.profiler.-advice-proto.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-advice-proto.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.profiler.-graph-node-proto.-input-shapes-entry.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-graph-node-proto.-input-shapes-entry.pbtxt index afec73f537..afec73f537 100644 --- a/tensorflow/tools/api/golden/tensorflow.profiler.-graph-node-proto.-input-shapes-entry.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-graph-node-proto.-input-shapes-entry.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.profiler.-graph-node-proto.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-graph-node-proto.pbtxt index 3c83177005..3c83177005 100644 --- a/tensorflow/tools/api/golden/tensorflow.profiler.-graph-node-proto.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-graph-node-proto.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.profiler.-multi-graph-node-proto.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-multi-graph-node-proto.pbtxt index 2b08a05437..2b08a05437 100644 --- a/tensorflow/tools/api/golden/tensorflow.profiler.-multi-graph-node-proto.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-multi-graph-node-proto.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.profiler.-op-log-proto.-id-to-string-entry.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-op-log-proto.-id-to-string-entry.pbtxt index b3adc50c7e..b3adc50c7e 100644 --- a/tensorflow/tools/api/golden/tensorflow.profiler.-op-log-proto.-id-to-string-entry.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-op-log-proto.-id-to-string-entry.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.profiler.-op-log-proto.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-op-log-proto.pbtxt index 7510c566ba..7510c566ba 100644 --- a/tensorflow/tools/api/golden/tensorflow.profiler.-op-log-proto.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-op-log-proto.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.profiler.-profile-option-builder.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-profile-option-builder.pbtxt index 19ff38a390..19ff38a390 100644 --- a/tensorflow/tools/api/golden/tensorflow.profiler.-profile-option-builder.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-profile-option-builder.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.profiler.-profiler.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-profiler.pbtxt index acb61dae9f..acb61dae9f 100644 --- a/tensorflow/tools/api/golden/tensorflow.profiler.-profiler.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.profiler.-profiler.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.profiler.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.profiler.pbtxt index 7b4d3ac522..7b4d3ac522 100644 --- a/tensorflow/tools/api/golden/tensorflow.profiler.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.profiler.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.python_io.-t-f-record-compression-type.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.python_io.-t-f-record-compression-type.pbtxt index 4941dda50e..4941dda50e 100644 --- a/tensorflow/tools/api/golden/tensorflow.python_io.-t-f-record-compression-type.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.python_io.-t-f-record-compression-type.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.python_io.-t-f-record-options.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.python_io.-t-f-record-options.pbtxt index 0853716023..0853716023 100644 --- a/tensorflow/tools/api/golden/tensorflow.python_io.-t-f-record-options.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.python_io.-t-f-record-options.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.python_io.-t-f-record-writer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.python_io.-t-f-record-writer.pbtxt index 31775de2d1..31775de2d1 100644 --- a/tensorflow/tools/api/golden/tensorflow.python_io.-t-f-record-writer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.python_io.-t-f-record-writer.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.python_io.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.python_io.pbtxt index 7c9953e5fe..7c9953e5fe 100644 --- a/tensorflow/tools/api/golden/tensorflow.python_io.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.python_io.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.quantization.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.quantization.pbtxt index 6d865efed0..6d865efed0 100644 --- a/tensorflow/tools/api/golden/tensorflow.quantization.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.quantization.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.random_normal_initializer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.random_normal_initializer.pbtxt index 5993fdeb9c..5993fdeb9c 100644 --- a/tensorflow/tools/api/golden/tensorflow.random_normal_initializer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.random_normal_initializer.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.random_uniform_initializer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.random_uniform_initializer.pbtxt index a434ed1599..a434ed1599 100644 --- a/tensorflow/tools/api/golden/tensorflow.random_uniform_initializer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.random_uniform_initializer.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.resource_loader.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.resource_loader.pbtxt index 288b78b4cd..288b78b4cd 100644 --- a/tensorflow/tools/api/golden/tensorflow.resource_loader.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.resource_loader.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.saved_model.builder.-saved-model-builder.pbtxt 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b/tensorflow/tools/api/golden/v1/tensorflow.sparse.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.spectral.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.spectral.pbtxt index 4f306540cc..6a421ef12d 100644 --- a/tensorflow/tools/api/golden/tensorflow.spectral.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.spectral.pbtxt @@ -17,6 +17,10 @@ tf_module { argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " } member_method { + name: "idct" + argspec: "args=[\'input\', \'type\', \'n\', \'axis\', \'norm\', \'name\'], varargs=None, keywords=None, defaults=[\'2\', \'None\', \'-1\', \'None\', \'None\'], " + } + member_method { name: "ifft" argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " } diff --git a/tensorflow/tools/api/golden/tensorflow.strings.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.strings.pbtxt index 9a831fed26..9a831fed26 100644 --- 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a/tensorflow/tools/api/golden/tensorflow.train.-r-m-s-prop-optimizer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-r-m-s-prop-optimizer.pbtxt index 906384a287..906384a287 100644 --- a/tensorflow/tools/api/golden/tensorflow.train.-r-m-s-prop-optimizer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.train.-r-m-s-prop-optimizer.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.train.-saver-def.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-saver-def.pbtxt index 4ec99469e4..4ec99469e4 100644 --- a/tensorflow/tools/api/golden/tensorflow.train.-saver-def.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.train.-saver-def.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.train.-saver.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-saver.pbtxt index 2cda458f46..2cda458f46 100644 --- a/tensorflow/tools/api/golden/tensorflow.train.-saver.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.train.-saver.pbtxt diff --git 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b/tensorflow/tools/api/golden/v1/tensorflow.train.-step-counter-hook.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.train.-stop-at-step-hook.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-stop-at-step-hook.pbtxt index e388599b0b..e388599b0b 100644 --- a/tensorflow/tools/api/golden/tensorflow.train.-stop-at-step-hook.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.train.-stop-at-step-hook.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.train.-summary-saver-hook.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-summary-saver-hook.pbtxt index 697c3667b0..697c3667b0 100644 --- a/tensorflow/tools/api/golden/tensorflow.train.-summary-saver-hook.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.train.-summary-saver-hook.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.train.-supervisor.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-supervisor.pbtxt index 9677e5a98e..9677e5a98e 100644 --- a/tensorflow/tools/api/golden/tensorflow.train.-supervisor.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.train.-supervisor.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.train.-sync-replicas-optimizer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-sync-replicas-optimizer.pbtxt index 2c0fda3c72..2c0fda3c72 100644 --- a/tensorflow/tools/api/golden/tensorflow.train.-sync-replicas-optimizer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.train.-sync-replicas-optimizer.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.train.-vocab-info.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-vocab-info.pbtxt index 4ce7cb1111..4ce7cb1111 100644 --- a/tensorflow/tools/api/golden/tensorflow.train.-vocab-info.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.train.-vocab-info.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.train.-worker-session-creator.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.-worker-session-creator.pbtxt index ac26358068..ac26358068 100644 --- a/tensorflow/tools/api/golden/tensorflow.train.-worker-session-creator.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.train.-worker-session-creator.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.train.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.pbtxt index b0fb04d7d4..b0fb04d7d4 100644 --- a/tensorflow/tools/api/golden/tensorflow.train.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.train.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.train.queue_runner.-queue-runner.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.queue_runner.-queue-runner.pbtxt index 23d402de30..23d402de30 100644 --- a/tensorflow/tools/api/golden/tensorflow.train.queue_runner.-queue-runner.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.train.queue_runner.-queue-runner.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.train.queue_runner.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.train.queue_runner.pbtxt index 6e2d043049..6e2d043049 100644 --- a/tensorflow/tools/api/golden/tensorflow.train.queue_runner.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.train.queue_runner.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.truncated_normal_initializer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.truncated_normal_initializer.pbtxt index c1e1c230a9..c1e1c230a9 100644 --- a/tensorflow/tools/api/golden/tensorflow.truncated_normal_initializer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.truncated_normal_initializer.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.uniform_unit_scaling_initializer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.uniform_unit_scaling_initializer.pbtxt index e1b18dc92f..e1b18dc92f 100644 --- a/tensorflow/tools/api/golden/tensorflow.uniform_unit_scaling_initializer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.uniform_unit_scaling_initializer.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.variable_scope.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.variable_scope.pbtxt index e62dec93e6..e62dec93e6 100644 --- a/tensorflow/tools/api/golden/tensorflow.variable_scope.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.variable_scope.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.variance_scaling_initializer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.variance_scaling_initializer.pbtxt index 09d7bc03b4..09d7bc03b4 100644 --- a/tensorflow/tools/api/golden/tensorflow.variance_scaling_initializer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.variance_scaling_initializer.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.zeros_initializer.pbtxt b/tensorflow/tools/api/golden/v1/tensorflow.zeros_initializer.pbtxt index e229b02cee..e229b02cee 100644 --- a/tensorflow/tools/api/golden/tensorflow.zeros_initializer.pbtxt +++ b/tensorflow/tools/api/golden/v1/tensorflow.zeros_initializer.pbtxt diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-aggregation-method.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-aggregation-method.pbtxt new file mode 100644 index 0000000000..f79029d3fe --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-aggregation-method.pbtxt @@ -0,0 +1,24 @@ +path: "tensorflow.AggregationMethod" +tf_class { + is_instance: "<class \'tensorflow.python.ops.gradients_impl.AggregationMethod\'>" + is_instance: "<type \'object\'>" + member { + name: "ADD_N" + mtype: "<type \'int\'>" + } + member { + name: "DEFAULT" + mtype: "<type \'int\'>" + } + member { + name: "EXPERIMENTAL_ACCUMULATE_N" + mtype: "<type \'int\'>" + } + member { + name: "EXPERIMENTAL_TREE" + mtype: "<type \'int\'>" + } + member_method { + name: "__init__" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-attr-value.-list-value.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-attr-value.-list-value.pbtxt new file mode 100644 index 0000000000..f1dffd5952 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-attr-value.-list-value.pbtxt @@ -0,0 +1,70 @@ +path: "tensorflow.AttrValue.ListValue" +tf_proto { + descriptor { + name: "ListValue" + field { + name: "s" + number: 2 + label: LABEL_REPEATED + type: TYPE_BYTES + } + field { + name: "i" + number: 3 + label: LABEL_REPEATED + type: TYPE_INT64 + options { + packed: true + } + } + field { + name: "f" + number: 4 + label: LABEL_REPEATED + type: TYPE_FLOAT + options { + packed: true + } + } + field { + name: "b" + number: 5 + label: LABEL_REPEATED + type: TYPE_BOOL + options { + packed: true + } + } + field { + name: "type" + number: 6 + label: LABEL_REPEATED + type: TYPE_ENUM + type_name: ".tensorflow.DataType" + options { + packed: true + } + } + field { + name: "shape" + number: 7 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.TensorShapeProto" + } + field { + name: "tensor" + number: 8 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.TensorProto" + } + field { + name: "func" + number: 9 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.NameAttrList" + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-attr-value.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-attr-value.pbtxt new file mode 100644 index 0000000000..6ccd64f428 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-attr-value.pbtxt @@ -0,0 +1,151 @@ +path: "tensorflow.AttrValue" +tf_proto { + descriptor { + name: "AttrValue" + field { + name: "s" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_BYTES + oneof_index: 0 + } + field { + name: "i" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_INT64 + oneof_index: 0 + } + field { + name: "f" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_FLOAT + oneof_index: 0 + } + field { + name: "b" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_BOOL + oneof_index: 0 + } + field { + name: "type" + number: 6 + label: LABEL_OPTIONAL + type: TYPE_ENUM + type_name: ".tensorflow.DataType" + oneof_index: 0 + } + field { + name: "shape" + number: 7 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.TensorShapeProto" + oneof_index: 0 + } + field { + name: "tensor" + number: 8 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.TensorProto" + oneof_index: 0 + } + field { + name: "list" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.AttrValue.ListValue" + oneof_index: 0 + } + field { + name: "func" + number: 10 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.NameAttrList" + oneof_index: 0 + } + field { + name: "placeholder" + number: 9 + label: LABEL_OPTIONAL + type: TYPE_STRING + oneof_index: 0 + } + nested_type { + name: "ListValue" + field { + name: "s" + number: 2 + label: LABEL_REPEATED + type: TYPE_BYTES + } + field { + name: "i" + number: 3 + label: LABEL_REPEATED + type: TYPE_INT64 + options { + packed: true + } + } + field { + name: "f" + number: 4 + label: LABEL_REPEATED + type: TYPE_FLOAT + options { + packed: true + } + } + field { + name: "b" + number: 5 + label: LABEL_REPEATED + type: TYPE_BOOL + options { + packed: true + } + } + field { + name: "type" + number: 6 + label: LABEL_REPEATED + type: TYPE_ENUM + type_name: ".tensorflow.DataType" + options { + packed: true + } + } + field { + name: "shape" + number: 7 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.TensorShapeProto" + } + field { + name: "tensor" + number: 8 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.TensorProto" + } + field { + name: "func" + number: 9 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.NameAttrList" + } + } + oneof_decl { + name: "value" + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-conditional-accumulator-base.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-conditional-accumulator-base.pbtxt new file mode 100644 index 0000000000..c9a32c16b3 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-conditional-accumulator-base.pbtxt @@ -0,0 +1,29 @@ +path: "tensorflow.ConditionalAccumulatorBase" +tf_class { + is_instance: "<class \'tensorflow.python.ops.data_flow_ops.ConditionalAccumulatorBase\'>" + is_instance: "<type \'object\'>" + member { + name: "accumulator_ref" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dtype\', \'shape\', \'accumulator_ref\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "num_accumulated" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_global_step" + argspec: "args=[\'self\', \'new_global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-conditional-accumulator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-conditional-accumulator.pbtxt new file mode 100644 index 0000000000..d23b3bd0ca --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-conditional-accumulator.pbtxt @@ -0,0 +1,38 @@ +path: "tensorflow.ConditionalAccumulator" +tf_class { + is_instance: "<class \'tensorflow.python.ops.data_flow_ops.ConditionalAccumulator\'>" + is_instance: "<class \'tensorflow.python.ops.data_flow_ops.ConditionalAccumulatorBase\'>" + is_instance: "<type \'object\'>" + member { + name: "accumulator_ref" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dtype\', \'shape\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'conditional_accumulator\'], " + } + member_method { + name: "apply_grad" + argspec: "args=[\'self\', \'grad\', \'local_step\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], " + } + member_method { + name: "num_accumulated" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_global_step" + argspec: "args=[\'self\', \'new_global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "take_grad" + argspec: "args=[\'self\', \'num_required\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-config-proto.-device-count-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-config-proto.-device-count-entry.pbtxt new file mode 100644 index 0000000000..d9b1426828 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-config-proto.-device-count-entry.pbtxt @@ -0,0 +1,21 @@ +path: "tensorflow.ConfigProto.DeviceCountEntry" +tf_proto { + descriptor { + name: "DeviceCountEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + options { + map_entry: true + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-config-proto.-experimental.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-config-proto.-experimental.pbtxt new file mode 100644 index 0000000000..ef9fe096a1 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-config-proto.-experimental.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.ConfigProto.Experimental" +tf_proto { + descriptor { + name: "Experimental" + field { + name: "collective_group_leader" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "client_handles_error_formatting" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-config-proto.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-config-proto.pbtxt new file mode 100644 index 0000000000..eeef15515d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-config-proto.pbtxt @@ -0,0 +1,142 @@ +path: "tensorflow.ConfigProto" +tf_proto { + descriptor { + name: "ConfigProto" + field { + name: "device_count" + number: 1 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.ConfigProto.DeviceCountEntry" + } + field { + name: "intra_op_parallelism_threads" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "inter_op_parallelism_threads" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "use_per_session_threads" + number: 9 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "session_inter_op_thread_pool" + number: 12 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.ThreadPoolOptionProto" + } + field { + name: "placement_period" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "device_filters" + number: 4 + label: LABEL_REPEATED + type: TYPE_STRING + } + field { + name: "gpu_options" + number: 6 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.GPUOptions" + } + field { + name: "allow_soft_placement" + number: 7 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "log_device_placement" + number: 8 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "graph_options" + number: 10 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.GraphOptions" + } + field { + name: "operation_timeout_in_ms" + number: 11 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "rpc_options" + number: 13 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.RPCOptions" + } + field { + name: "cluster_def" + number: 14 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.ClusterDef" + } + field { + name: "isolate_session_state" + number: 15 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "experimental" + number: 16 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.ConfigProto.Experimental" + } + nested_type { + name: "DeviceCountEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + options { + map_entry: true + } + } + nested_type { + name: "Experimental" + field { + name: "collective_group_leader" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "client_handles_error_formatting" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-d-type.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-d-type.pbtxt new file mode 100644 index 0000000000..0b5b88bba8 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-d-type.pbtxt @@ -0,0 +1,77 @@ +path: "tensorflow.DType" +tf_class { + is_instance: "<class \'tensorflow.python.framework.dtypes.DType\'>" + is_instance: "<type \'object\'>" + member { + name: "as_datatype_enum" + mtype: "<type \'property\'>" + } + member { + name: "as_numpy_dtype" + mtype: "<type \'property\'>" + } + member { + name: "base_dtype" + mtype: "<type \'property\'>" + } + member { + name: "is_bool" + mtype: "<type \'property\'>" + } + member { + name: "is_complex" + mtype: "<type \'property\'>" + } + member { + name: "is_floating" + mtype: "<type \'property\'>" + } + member { + name: "is_integer" + mtype: "<type \'property\'>" + } + member { + name: "is_numpy_compatible" + mtype: "<type \'property\'>" + } + member { + name: "is_quantized" + mtype: "<type \'property\'>" + } + member { + name: "is_unsigned" + mtype: "<type \'property\'>" + } + member { + name: "limits" + mtype: "<type \'property\'>" + } + member { + name: "max" + mtype: "<type \'property\'>" + } + member { + name: "min" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "real_dtype" + mtype: "<type \'property\'>" + } + member { + name: "size" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'type_enum\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "is_compatible_with" + argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-device-spec.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-device-spec.pbtxt new file mode 100644 index 0000000000..92e535c341 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-device-spec.pbtxt @@ -0,0 +1,37 @@ +path: "tensorflow.DeviceSpec" +tf_class { + is_instance: "<class \'tensorflow.python.framework.device.DeviceSpec\'>" + is_instance: "<type \'object\'>" + member { + name: "job" + mtype: "<type \'property\'>" + } + member { + name: "replica" + mtype: "<type \'property\'>" + } + member { + name: "task" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'job\', \'replica\', \'task\', \'device_type\', \'device_index\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "from_string" + argspec: "args=[\'spec\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "merge_from" + argspec: "args=[\'self\', \'dev\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "parse_from_string" + argspec: "args=[\'self\', \'spec\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "to_string" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-dimension.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-dimension.pbtxt new file mode 100644 index 0000000000..a9ab27719b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-dimension.pbtxt @@ -0,0 +1,25 @@ +path: "tensorflow.Dimension" +tf_class { + is_instance: "<class \'tensorflow.python.framework.tensor_shape.Dimension\'>" + is_instance: "<type \'object\'>" + member { + name: "value" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'value\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "assert_is_compatible_with" + argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "is_compatible_with" + argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "merge_with" + argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-event.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-event.pbtxt new file mode 100644 index 0000000000..3b75a1735b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-event.pbtxt @@ -0,0 +1,74 @@ +path: "tensorflow.Event" +tf_proto { + descriptor { + name: "Event" + field { + name: "wall_time" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_DOUBLE + } + field { + name: "step" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "file_version" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_STRING + oneof_index: 0 + } + field { + name: "graph_def" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_BYTES + oneof_index: 0 + } + field { + name: "summary" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.Summary" + oneof_index: 0 + } + field { + name: "log_message" + number: 6 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.LogMessage" + oneof_index: 0 + } + field { + name: "session_log" + number: 7 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.SessionLog" + oneof_index: 0 + } + field { + name: "tagged_run_metadata" + number: 8 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.TaggedRunMetadata" + oneof_index: 0 + } + field { + name: "meta_graph_def" + number: 9 + label: LABEL_OPTIONAL + type: TYPE_BYTES + oneof_index: 0 + } + oneof_decl { + name: "what" + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-f-i-f-o-queue.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-f-i-f-o-queue.pbtxt new file mode 100644 index 0000000000..a095616c00 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-f-i-f-o-queue.pbtxt @@ -0,0 +1,66 @@ +path: "tensorflow.FIFOQueue" +tf_class { + is_instance: "<class \'tensorflow.python.ops.data_flow_ops.FIFOQueue\'>" + is_instance: "<class \'tensorflow.python.ops.data_flow_ops.QueueBase\'>" + is_instance: "<type \'object\'>" + member { + name: "dtypes" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "names" + mtype: "<type \'property\'>" + } + member { + name: "queue_ref" + mtype: "<type \'property\'>" + } + member { + name: "shapes" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'capacity\', \'dtypes\', \'shapes\', \'names\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'fifo_queue\'], " + } + member_method { + name: "close" + argspec: "args=[\'self\', \'cancel_pending_enqueues\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "dequeue" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "dequeue_many" + argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "dequeue_up_to" + argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "enqueue" + argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "enqueue_many" + argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "from_list" + argspec: "args=[\'index\', \'queues\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "is_closed" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "size" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-fixed-len-feature.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-fixed-len-feature.pbtxt new file mode 100644 index 0000000000..6933814a7b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-fixed-len-feature.pbtxt @@ -0,0 +1,27 @@ +path: "tensorflow.FixedLenFeature" +tf_class { + is_instance: "<class \'tensorflow.python.ops.parsing_ops.FixedLenFeature\'>" + is_instance: "<class \'tensorflow.python.ops.parsing_ops.FixedLenFeature\'>" + is_instance: "<type \'tuple\'>" + member { + name: "default_value" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + } + member_method { + name: "count" + } + member_method { + name: "index" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-fixed-len-sequence-feature.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-fixed-len-sequence-feature.pbtxt new file mode 100644 index 0000000000..c538787951 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-fixed-len-sequence-feature.pbtxt @@ -0,0 +1,31 @@ +path: "tensorflow.FixedLenSequenceFeature" +tf_class { + is_instance: "<class \'tensorflow.python.ops.parsing_ops.FixedLenSequenceFeature\'>" + is_instance: "<class \'tensorflow.python.ops.parsing_ops.FixedLenSequenceFeature\'>" + is_instance: "<type \'tuple\'>" + member { + name: "allow_missing" + mtype: "<type \'property\'>" + } + member { + name: "default_value" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + } + member_method { + name: "count" + } + member_method { + name: "index" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-fixed-length-record-reader.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-fixed-length-record-reader.pbtxt new file mode 100644 index 0000000000..260c796fd6 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-fixed-length-record-reader.pbtxt @@ -0,0 +1,46 @@ +path: "tensorflow.FixedLengthRecordReader" +tf_class { + is_instance: "<class \'tensorflow.python.ops.io_ops.FixedLengthRecordReader\'>" + is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>" + is_instance: "<type \'object\'>" + member { + name: "reader_ref" + mtype: "<type \'property\'>" + } + member { + name: "supports_serialize" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'record_bytes\', \'header_bytes\', \'footer_bytes\', \'hop_bytes\', \'name\', \'encoding\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "num_records_produced" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "num_work_units_completed" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "read" + argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "read_up_to" + argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "reset" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "restore_state" + argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "serialize_state" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-g-p-u-options.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-g-p-u-options.pbtxt new file mode 100644 index 0000000000..353e63127d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-g-p-u-options.pbtxt @@ -0,0 +1,92 @@ +path: "tensorflow.GPUOptions" +tf_proto { + descriptor { + name: "GPUOptions" + field { + name: "per_process_gpu_memory_fraction" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_DOUBLE + } + field { + name: "allow_growth" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "allocator_type" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "deferred_deletion_bytes" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "visible_device_list" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "polling_active_delay_usecs" + number: 6 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "polling_inactive_delay_msecs" + number: 7 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "force_gpu_compatible" + number: 8 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "experimental" + number: 9 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.GPUOptions.Experimental" + } + nested_type { + name: "Experimental" + field { + name: "virtual_devices" + number: 1 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.GPUOptions.Experimental.VirtualDevices" + } + field { + name: "use_unified_memory" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "num_dev_to_dev_copy_streams" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + nested_type { + name: "VirtualDevices" + field { + name: "memory_limit_mb" + number: 1 + label: LABEL_REPEATED + type: TYPE_FLOAT + } + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-gradient-tape.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-gradient-tape.pbtxt new file mode 100644 index 0000000000..cbf655498c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-gradient-tape.pbtxt @@ -0,0 +1,29 @@ +path: "tensorflow.GradientTape" +tf_class { + is_instance: "<class \'tensorflow.python.eager.backprop.GradientTape\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'persistent\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "gradient" + argspec: "args=[\'self\', \'target\', \'sources\', \'output_gradients\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "reset" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "stop_recording" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "watch" + argspec: "args=[\'self\', \'tensor\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "watched_variables" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-graph-def.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-graph-def.pbtxt new file mode 100644 index 0000000000..19eccff03d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-graph-def.pbtxt @@ -0,0 +1,36 @@ +path: "tensorflow.GraphDef" +tf_proto { + descriptor { + name: "GraphDef" + field { + name: "node" + number: 1 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.NodeDef" + } + field { + name: "versions" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.VersionDef" + } + field { + name: "version" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_INT32 + options { + deprecated: true + } + } + field { + name: "library" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.FunctionDefLibrary" + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-graph-keys.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-graph-keys.pbtxt new file mode 100644 index 0000000000..ffe4790933 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-graph-keys.pbtxt @@ -0,0 +1,140 @@ +path: "tensorflow.GraphKeys" +tf_class { + is_instance: "<class \'tensorflow.python.framework.ops.GraphKeys\'>" + is_instance: "<type \'object\'>" + member { + name: "ACTIVATIONS" + mtype: "<type \'str\'>" + } + member { + name: "ASSET_FILEPATHS" + mtype: "<type \'str\'>" + } + member { + name: "BIASES" + mtype: "<type \'str\'>" + } + member { + name: "CONCATENATED_VARIABLES" + mtype: "<type \'str\'>" + } + member { + name: "COND_CONTEXT" + mtype: "<type \'str\'>" + } + member { + name: "EVAL_STEP" + mtype: "<type \'str\'>" + } + member { + name: "GLOBAL_STEP" + mtype: "<type \'str\'>" + } + member { + name: "GLOBAL_VARIABLES" + mtype: "<type \'str\'>" + } + member { + name: "INIT_OP" + mtype: "<type \'str\'>" + } + member { + name: "LOCAL_INIT_OP" + mtype: "<type \'str\'>" + } + member { + name: "LOCAL_RESOURCES" + mtype: "<type \'str\'>" + } + member { + name: "LOCAL_VARIABLES" + mtype: "<type \'str\'>" + } + member { + name: "LOSSES" + mtype: "<type \'str\'>" + } + member { + name: "METRIC_VARIABLES" + mtype: "<type \'str\'>" + } + member { + name: "MODEL_VARIABLES" + mtype: "<type \'str\'>" + } + member { + name: "MOVING_AVERAGE_VARIABLES" + mtype: "<type \'str\'>" + } + member { + name: "QUEUE_RUNNERS" + mtype: "<type \'str\'>" + } + member { + name: "READY_FOR_LOCAL_INIT_OP" + mtype: "<type \'str\'>" + } + member { + name: "READY_OP" + mtype: "<type \'str\'>" + } + member { + name: "REGULARIZATION_LOSSES" + mtype: "<type \'str\'>" + } + member { + name: "RESOURCES" + mtype: "<type \'str\'>" + } + member { + name: "SAVEABLE_OBJECTS" + mtype: "<type \'str\'>" + } + member { + name: "SAVERS" + mtype: "<type \'str\'>" + } + member { + name: "SUMMARIES" + mtype: "<type \'str\'>" + } + member { + name: "SUMMARY_OP" + mtype: "<type \'str\'>" + } + member { + name: "TABLE_INITIALIZERS" + mtype: "<type \'str\'>" + } + member { + name: "TRAINABLE_RESOURCE_VARIABLES" + mtype: "<type \'str\'>" + } + member { + name: "TRAINABLE_VARIABLES" + mtype: "<type \'str\'>" + } + member { + name: "TRAIN_OP" + mtype: "<type \'str\'>" + } + member { + name: "UPDATE_OPS" + mtype: "<type \'str\'>" + } + member { + name: "VARIABLES" + mtype: "<type \'str\'>" + } + member { + name: "WEIGHTS" + mtype: "<type \'str\'>" + } + member { + name: "WHILE_CONTEXT" + mtype: "<type \'str\'>" + } + member_method { + name: "__init__" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-graph-options.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-graph-options.pbtxt new file mode 100644 index 0000000000..a9f99bc171 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-graph-options.pbtxt @@ -0,0 +1,67 @@ +path: "tensorflow.GraphOptions" +tf_proto { + descriptor { + name: "GraphOptions" + field { + name: "enable_recv_scheduling" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "optimizer_options" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.OptimizerOptions" + } + field { + name: "build_cost_model" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "build_cost_model_after" + number: 9 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "infer_shapes" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "place_pruned_graph" + number: 6 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "enable_bfloat16_sendrecv" + number: 7 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "timeline_step" + number: 8 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "rewrite_options" + number: 10 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.RewriterConfig" + } + reserved_range { + start: 1 + end: 2 + } + reserved_name: "skip_common_subexpression_elimination" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-graph.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-graph.pbtxt new file mode 100644 index 0000000000..cdaeb55e30 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-graph.pbtxt @@ -0,0 +1,141 @@ +path: "tensorflow.Graph" +tf_class { + is_instance: "<class \'tensorflow.python.framework.ops.Graph\'>" + is_instance: "<type \'object\'>" + member { + name: "building_function" + mtype: "<type \'property\'>" + } + member { + name: "collections" + mtype: "<type \'property\'>" + } + member { + name: "finalized" + mtype: "<type \'property\'>" + } + member { + name: "graph_def_versions" + mtype: "<type \'property\'>" + } + member { + name: "seed" + mtype: "<type \'property\'>" + } + member { + name: "version" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "add_to_collection" + argspec: "args=[\'self\', \'name\', \'value\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "add_to_collections" + argspec: "args=[\'self\', \'names\', \'value\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "as_default" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "as_graph_def" + argspec: "args=[\'self\', \'from_version\', \'add_shapes\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], " + } + member_method { + name: "as_graph_element" + argspec: "args=[\'self\', \'obj\', \'allow_tensor\', \'allow_operation\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], " + } + member_method { + name: "clear_collection" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "colocate_with" + argspec: "args=[\'self\', \'op\', \'ignore_existing\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "container" + argspec: "args=[\'self\', \'container_name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "control_dependencies" + argspec: "args=[\'self\', \'control_inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "create_op" + argspec: "args=[\'self\', \'op_type\', \'inputs\', \'dtypes\', \'input_types\', \'name\', \'attrs\', \'op_def\', \'compute_shapes\', \'compute_device\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'True\', \'True\'], " + } + member_method { + name: "device" + argspec: "args=[\'self\', \'device_name_or_function\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "finalize" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_all_collection_keys" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_collection" + argspec: "args=[\'self\', \'name\', \'scope\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_collection_ref" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_name_scope" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_operation_by_name" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_operations" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_tensor_by_name" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "gradient_override_map" + argspec: "args=[\'self\', \'op_type_map\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "is_feedable" + argspec: "args=[\'self\', \'tensor\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "is_fetchable" + argspec: "args=[\'self\', \'tensor_or_op\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "name_scope" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "prevent_feeding" + argspec: "args=[\'self\', \'tensor\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "prevent_fetching" + argspec: "args=[\'self\', \'op\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "switch_to_thread_local" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "unique_name" + argspec: "args=[\'self\', \'name\', \'mark_as_used\'], varargs=None, keywords=None, defaults=[\'True\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-histogram-proto.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-histogram-proto.pbtxt new file mode 100644 index 0000000000..d4402f330b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-histogram-proto.pbtxt @@ -0,0 +1,54 @@ +path: "tensorflow.HistogramProto" +tf_proto { + descriptor { + name: "HistogramProto" + field { + name: "min" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_DOUBLE + } + field { + name: "max" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_DOUBLE + } + field { + name: "num" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_DOUBLE + } + field { + name: "sum" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_DOUBLE + } + field { + name: "sum_squares" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_DOUBLE + } + field { + name: "bucket_limit" + number: 6 + label: LABEL_REPEATED + type: TYPE_DOUBLE + options { + packed: true + } + } + field { + name: "bucket" + number: 7 + label: LABEL_REPEATED + type: TYPE_DOUBLE + options { + packed: true + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-identity-reader.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-identity-reader.pbtxt new file mode 100644 index 0000000000..2eda320d63 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-identity-reader.pbtxt @@ -0,0 +1,46 @@ +path: "tensorflow.IdentityReader" +tf_class { + is_instance: "<class \'tensorflow.python.ops.io_ops.IdentityReader\'>" + is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>" + is_instance: "<type \'object\'>" + member { + name: "reader_ref" + mtype: "<type \'property\'>" + } + member { + name: "supports_serialize" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "num_records_produced" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "num_work_units_completed" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "read" + argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "read_up_to" + argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "reset" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "restore_state" + argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "serialize_state" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-indexed-slices.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-indexed-slices.pbtxt new file mode 100644 index 0000000000..fee84d8530 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-indexed-slices.pbtxt @@ -0,0 +1,42 @@ +path: "tensorflow.IndexedSlices" +tf_class { + is_instance: "<class \'tensorflow.python.framework.ops.IndexedSlices\'>" + is_instance: "<class \'tensorflow.python.framework.ops._TensorLike\'>" + is_instance: "<type \'object\'>" + member { + name: "dense_shape" + mtype: "<type \'property\'>" + } + member { + name: "device" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "indices" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member { + name: "values" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'values\', \'indices\', \'dense_shape\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-interactive-session.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-interactive-session.pbtxt new file mode 100644 index 0000000000..0a3b81bf82 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-interactive-session.pbtxt @@ -0,0 +1,51 @@ +path: "tensorflow.InteractiveSession" +tf_class { + is_instance: "<class \'tensorflow.python.client.session.InteractiveSession\'>" + is_instance: "<class \'tensorflow.python.client.session.BaseSession\'>" + is_instance: "<class \'tensorflow.python.client.session.SessionInterface\'>" + is_instance: "<type \'object\'>" + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "graph_def" + mtype: "<type \'property\'>" + } + member { + name: "sess_str" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'target\', \'graph\', \'config\'], varargs=None, keywords=None, defaults=[\'\', \'None\', \'None\'], " + } + member_method { + name: "as_default" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "close" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "list_devices" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "make_callable" + argspec: "args=[\'self\', \'fetches\', \'feed_list\', \'accept_options\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], " + } + member_method { + name: "partial_run" + argspec: "args=[\'self\', \'handle\', \'fetches\', \'feed_dict\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "partial_run_setup" + argspec: "args=[\'self\', \'fetches\', \'feeds\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "run" + argspec: "args=[\'self\', \'fetches\', \'feed_dict\', \'options\', \'run_metadata\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-l-m-d-b-reader.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-l-m-d-b-reader.pbtxt new file mode 100644 index 0000000000..f9b7e9bbca --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-l-m-d-b-reader.pbtxt @@ -0,0 +1,46 @@ +path: "tensorflow.LMDBReader" +tf_class { + is_instance: "<class \'tensorflow.python.ops.io_ops.LMDBReader\'>" + is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>" + is_instance: "<type \'object\'>" + member { + name: "reader_ref" + mtype: "<type \'property\'>" + } + member { + name: "supports_serialize" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'name\', \'options\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "num_records_produced" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "num_work_units_completed" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "read" + argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "read_up_to" + argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "reset" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "restore_state" + argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "serialize_state" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-log-message.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-log-message.pbtxt new file mode 100644 index 0000000000..5023aa96bf --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-log-message.pbtxt @@ -0,0 +1,46 @@ +path: "tensorflow.LogMessage" +tf_proto { + descriptor { + name: "LogMessage" + field { + name: "level" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_ENUM + type_name: ".tensorflow.LogMessage.Level" + } + field { + name: "message" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + enum_type { + name: "Level" + value { + name: "UNKNOWN" + number: 0 + } + value { + name: "DEBUGGING" + number: 10 + } + value { + name: "INFO" + number: 20 + } + value { + name: "WARN" + number: 30 + } + value { + name: "ERROR" + number: 40 + } + value { + name: "FATAL" + number: 50 + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.-collection-def-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.-collection-def-entry.pbtxt new file mode 100644 index 0000000000..0ba09bec4b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.-collection-def-entry.pbtxt @@ -0,0 +1,22 @@ +path: "tensorflow.MetaGraphDef.CollectionDefEntry" +tf_proto { + descriptor { + name: "CollectionDefEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.CollectionDef" + } + options { + map_entry: true + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.-meta-info-def.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.-meta-info-def.pbtxt new file mode 100644 index 0000000000..41c62a407b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.-meta-info-def.pbtxt @@ -0,0 +1,50 @@ +path: "tensorflow.MetaGraphDef.MetaInfoDef" +tf_proto { + descriptor { + name: "MetaInfoDef" + field { + name: "meta_graph_version" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "stripped_op_list" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.OpList" + } + field { + name: "any_info" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".google.protobuf.Any" + } + field { + name: "tags" + number: 4 + label: LABEL_REPEATED + type: TYPE_STRING + } + field { + name: "tensorflow_version" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "tensorflow_git_version" + number: 6 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "stripped_default_attrs" + number: 7 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.-signature-def-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.-signature-def-entry.pbtxt new file mode 100644 index 0000000000..73dc414a77 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.-signature-def-entry.pbtxt @@ -0,0 +1,22 @@ +path: "tensorflow.MetaGraphDef.SignatureDefEntry" +tf_proto { + descriptor { + name: "SignatureDefEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.SignatureDef" + } + options { + map_entry: true + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.pbtxt new file mode 100644 index 0000000000..d71c2358c9 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-meta-graph-def.pbtxt @@ -0,0 +1,133 @@ +path: "tensorflow.MetaGraphDef" +tf_proto { + descriptor { + name: "MetaGraphDef" + field { + name: "meta_info_def" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.MetaGraphDef.MetaInfoDef" + } + field { + name: "graph_def" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.GraphDef" + } + field { + name: "saver_def" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.SaverDef" + } + field { + name: "collection_def" + number: 4 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.MetaGraphDef.CollectionDefEntry" + } + field { + name: "signature_def" + number: 5 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.MetaGraphDef.SignatureDefEntry" + } + field { + name: "asset_file_def" + number: 6 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.AssetFileDef" + } + nested_type { + name: "MetaInfoDef" + field { + name: "meta_graph_version" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "stripped_op_list" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.OpList" + } + field { + name: "any_info" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".google.protobuf.Any" + } + field { + name: "tags" + number: 4 + label: LABEL_REPEATED + type: TYPE_STRING + } + field { + name: "tensorflow_version" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "tensorflow_git_version" + number: 6 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "stripped_default_attrs" + number: 7 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + } + nested_type { + name: "CollectionDefEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.CollectionDef" + } + options { + map_entry: true + } + } + nested_type { + name: "SignatureDefEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.SignatureDef" + } + options { + map_entry: true + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-name-attr-list.-attr-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-name-attr-list.-attr-entry.pbtxt new file mode 100644 index 0000000000..b119b20877 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-name-attr-list.-attr-entry.pbtxt @@ -0,0 +1,22 @@ +path: "tensorflow.NameAttrList.AttrEntry" +tf_proto { + descriptor { + name: "AttrEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.AttrValue" + } + options { + map_entry: true + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-name-attr-list.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-name-attr-list.pbtxt new file mode 100644 index 0000000000..fcdb411ffc --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-name-attr-list.pbtxt @@ -0,0 +1,38 @@ +path: "tensorflow.NameAttrList" +tf_proto { + descriptor { + name: "NameAttrList" + field { + name: "name" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "attr" + number: 2 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.NameAttrList.AttrEntry" + } + nested_type { + name: "AttrEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.AttrValue" + } + options { + map_entry: true + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-node-def.-attr-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-node-def.-attr-entry.pbtxt new file mode 100644 index 0000000000..622e4c3d0f --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-node-def.-attr-entry.pbtxt @@ -0,0 +1,22 @@ +path: "tensorflow.NodeDef.AttrEntry" +tf_proto { + descriptor { + name: "AttrEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.AttrValue" + } + options { + map_entry: true + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-node-def.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-node-def.pbtxt new file mode 100644 index 0000000000..646fa8abb9 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-node-def.pbtxt @@ -0,0 +1,56 @@ +path: "tensorflow.NodeDef" +tf_proto { + descriptor { + name: "NodeDef" + field { + name: "name" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "op" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "input" + number: 3 + label: LABEL_REPEATED + type: TYPE_STRING + } + field { + name: "device" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "attr" + number: 5 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.NodeDef.AttrEntry" + } + nested_type { + name: "AttrEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.AttrValue" + } + options { + map_entry: true + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-op-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-op-error.pbtxt new file mode 100644 index 0000000000..7e59615534 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-op-error.pbtxt @@ -0,0 +1,29 @@ +path: "tensorflow.OpError" +tf_class { + is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>" + is_instance: "<type \'exceptions.Exception\'>" + member { + name: "args" + mtype: "<type \'getset_descriptor\'>" + } + member { + name: "error_code" + mtype: "<type \'property\'>" + } + member { + name: "message" + mtype: "<type \'property\'>" + } + member { + name: "node_def" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'node_def\', \'op\', \'message\', \'error_code\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-operation.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-operation.pbtxt new file mode 100644 index 0000000000..64240f7069 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-operation.pbtxt @@ -0,0 +1,69 @@ +path: "tensorflow.Operation" +tf_class { + is_instance: "<class \'tensorflow.python.framework.ops.Operation\'>" + is_instance: "<type \'object\'>" + member { + name: "control_inputs" + mtype: "<type \'property\'>" + } + member { + name: "device" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inputs" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "node_def" + mtype: "<type \'property\'>" + } + member { + name: "op_def" + mtype: "<type \'property\'>" + } + member { + name: "outputs" + mtype: "<type \'property\'>" + } + member { + name: "traceback" + mtype: "<type \'property\'>" + } + member { + name: "traceback_with_start_lines" + mtype: "<type \'property\'>" + } + member { + name: "type" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'node_def\', \'g\', \'inputs\', \'output_types\', \'control_inputs\', \'input_types\', \'original_op\', \'op_def\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "colocation_groups" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_attr" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "run" + argspec: "args=[\'self\', \'feed_dict\', \'session\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "values" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-optimizer-options.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-optimizer-options.pbtxt new file mode 100644 index 0000000000..3ccf9d459b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-optimizer-options.pbtxt @@ -0,0 +1,74 @@ +path: "tensorflow.OptimizerOptions" +tf_proto { + descriptor { + name: "OptimizerOptions" + field { + name: "do_common_subexpression_elimination" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "do_constant_folding" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "max_folded_constant_in_bytes" + number: 6 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "do_function_inlining" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "opt_level" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_ENUM + type_name: ".tensorflow.OptimizerOptions.Level" + } + field { + name: "global_jit_level" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_ENUM + type_name: ".tensorflow.OptimizerOptions.GlobalJitLevel" + } + enum_type { + name: "Level" + value { + name: "L1" + number: 0 + } + value { + name: "L0" + number: -1 + } + } + enum_type { + name: "GlobalJitLevel" + value { + name: "DEFAULT" + number: 0 + } + value { + name: "OFF" + number: -1 + } + value { + name: "ON_1" + number: 1 + } + value { + name: "ON_2" + number: 2 + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-padding-f-i-f-o-queue.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-padding-f-i-f-o-queue.pbtxt new file mode 100644 index 0000000000..8fed133561 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-padding-f-i-f-o-queue.pbtxt @@ -0,0 +1,66 @@ +path: "tensorflow.PaddingFIFOQueue" +tf_class { + is_instance: "<class \'tensorflow.python.ops.data_flow_ops.PaddingFIFOQueue\'>" + is_instance: "<class \'tensorflow.python.ops.data_flow_ops.QueueBase\'>" + is_instance: "<type \'object\'>" + member { + name: "dtypes" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "names" + mtype: "<type \'property\'>" + } + member { + name: "queue_ref" + mtype: "<type \'property\'>" + } + member { + name: "shapes" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'capacity\', \'dtypes\', \'shapes\', \'names\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'padding_fifo_queue\'], " + } + member_method { + name: "close" + argspec: "args=[\'self\', \'cancel_pending_enqueues\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "dequeue" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "dequeue_many" + argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "dequeue_up_to" + argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "enqueue" + argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "enqueue_many" + argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "from_list" + argspec: "args=[\'index\', \'queues\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "is_closed" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "size" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-priority-queue.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-priority-queue.pbtxt new file mode 100644 index 0000000000..ebb017e81b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-priority-queue.pbtxt @@ -0,0 +1,66 @@ +path: "tensorflow.PriorityQueue" +tf_class { + is_instance: "<class \'tensorflow.python.ops.data_flow_ops.PriorityQueue\'>" + is_instance: "<class \'tensorflow.python.ops.data_flow_ops.QueueBase\'>" + is_instance: "<type \'object\'>" + member { + name: "dtypes" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "names" + mtype: "<type \'property\'>" + } + member { + name: "queue_ref" + mtype: "<type \'property\'>" + } + member { + name: "shapes" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'capacity\', \'types\', \'shapes\', \'names\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'priority_queue\'], " + } + member_method { + name: "close" + argspec: "args=[\'self\', \'cancel_pending_enqueues\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "dequeue" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "dequeue_many" + argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "dequeue_up_to" + argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "enqueue" + argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "enqueue_many" + argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "from_list" + argspec: "args=[\'index\', \'queues\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "is_closed" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "size" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-queue-base.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-queue-base.pbtxt new file mode 100644 index 0000000000..761f90989f --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-queue-base.pbtxt @@ -0,0 +1,65 @@ +path: "tensorflow.QueueBase" +tf_class { + is_instance: "<class \'tensorflow.python.ops.data_flow_ops.QueueBase\'>" + is_instance: "<type \'object\'>" + member { + name: "dtypes" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "names" + mtype: "<type \'property\'>" + } + member { + name: "queue_ref" + mtype: "<type \'property\'>" + } + member { + name: "shapes" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dtypes\', \'shapes\', \'names\', \'queue_ref\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "close" + argspec: "args=[\'self\', \'cancel_pending_enqueues\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "dequeue" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "dequeue_many" + argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "dequeue_up_to" + argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "enqueue" + argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "enqueue_many" + argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "from_list" + argspec: "args=[\'index\', \'queues\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "is_closed" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "size" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-random-shuffle-queue.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-random-shuffle-queue.pbtxt new file mode 100644 index 0000000000..f3ca841393 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-random-shuffle-queue.pbtxt @@ -0,0 +1,66 @@ +path: "tensorflow.RandomShuffleQueue" +tf_class { + is_instance: "<class \'tensorflow.python.ops.data_flow_ops.RandomShuffleQueue\'>" + is_instance: "<class \'tensorflow.python.ops.data_flow_ops.QueueBase\'>" + is_instance: "<type \'object\'>" + member { + name: "dtypes" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "names" + mtype: "<type \'property\'>" + } + member { + name: "queue_ref" + mtype: "<type \'property\'>" + } + member { + name: "shapes" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'capacity\', \'min_after_dequeue\', \'dtypes\', \'shapes\', \'names\', \'seed\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'random_shuffle_queue\'], " + } + member_method { + name: "close" + argspec: "args=[\'self\', \'cancel_pending_enqueues\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "dequeue" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "dequeue_many" + argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "dequeue_up_to" + argspec: "args=[\'self\', \'n\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "enqueue" + argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "enqueue_many" + argspec: "args=[\'self\', \'vals\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "from_list" + argspec: "args=[\'index\', \'queues\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "is_closed" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "size" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-reader-base.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-reader-base.pbtxt new file mode 100644 index 0000000000..f6a3ce76a1 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-reader-base.pbtxt @@ -0,0 +1,45 @@ +path: "tensorflow.ReaderBase" +tf_class { + is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>" + is_instance: "<type \'object\'>" + member { + name: "reader_ref" + mtype: "<type \'property\'>" + } + member { + name: "supports_serialize" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'reader_ref\', \'supports_serialize\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "num_records_produced" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "num_work_units_completed" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "read" + argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "read_up_to" + argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "reset" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "restore_state" + argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "serialize_state" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-register-gradient.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-register-gradient.pbtxt new file mode 100644 index 0000000000..4d6e4137d1 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-register-gradient.pbtxt @@ -0,0 +1,9 @@ +path: "tensorflow.RegisterGradient" +tf_class { + is_instance: "<class \'tensorflow.python.framework.ops.RegisterGradient\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'op_type\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-run-metadata.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-run-metadata.pbtxt new file mode 100644 index 0000000000..1287940326 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-run-metadata.pbtxt @@ -0,0 +1,27 @@ +path: "tensorflow.RunMetadata" +tf_proto { + descriptor { + name: "RunMetadata" + field { + name: "step_stats" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.StepStats" + } + field { + name: "cost_graph" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.CostGraphDef" + } + field { + name: "partition_graphs" + number: 3 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.GraphDef" + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-run-options.-experimental.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-run-options.-experimental.pbtxt new file mode 100644 index 0000000000..537e73aa89 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-run-options.-experimental.pbtxt @@ -0,0 +1,12 @@ +path: "tensorflow.RunOptions.Experimental" +tf_proto { + descriptor { + name: "Experimental" + field { + name: "collective_graph_key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-run-options.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-run-options.pbtxt new file mode 100644 index 0000000000..cec04a2bf0 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-run-options.pbtxt @@ -0,0 +1,83 @@ +path: "tensorflow.RunOptions" +tf_proto { + descriptor { + name: "RunOptions" + field { + name: "trace_level" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_ENUM + type_name: ".tensorflow.RunOptions.TraceLevel" + } + field { + name: "timeout_in_ms" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "inter_op_thread_pool" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "output_partition_graphs" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "debug_options" + number: 6 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.DebugOptions" + } + field { + name: "report_tensor_allocations_upon_oom" + number: 7 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "experimental" + number: 8 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.RunOptions.Experimental" + } + nested_type { + name: "Experimental" + field { + name: "collective_graph_key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + } + enum_type { + name: "TraceLevel" + value { + name: "NO_TRACE" + number: 0 + } + value { + name: "SOFTWARE_TRACE" + number: 1 + } + value { + name: "HARDWARE_TRACE" + number: 2 + } + value { + name: "FULL_TRACE" + number: 3 + } + } + reserved_range { + start: 4 + end: 5 + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-session-log.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-session-log.pbtxt new file mode 100644 index 0000000000..259f241874 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-session-log.pbtxt @@ -0,0 +1,44 @@ +path: "tensorflow.SessionLog" +tf_proto { + descriptor { + name: "SessionLog" + field { + name: "status" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_ENUM + type_name: ".tensorflow.SessionLog.SessionStatus" + } + field { + name: "checkpoint_path" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "msg" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + enum_type { + name: "SessionStatus" + value { + name: "STATUS_UNSPECIFIED" + number: 0 + } + value { + name: "START" + number: 1 + } + value { + name: "STOP" + number: 2 + } + value { + name: "CHECKPOINT" + number: 3 + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-session.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-session.pbtxt new file mode 100644 index 0000000000..1d6b037f9c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-session.pbtxt @@ -0,0 +1,55 @@ +path: "tensorflow.Session" +tf_class { + is_instance: "<class \'tensorflow.python.client.session.Session\'>" + is_instance: "<class \'tensorflow.python.client.session.BaseSession\'>" + is_instance: "<class \'tensorflow.python.client.session.SessionInterface\'>" + is_instance: "<type \'object\'>" + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "graph_def" + mtype: "<type \'property\'>" + } + member { + name: "sess_str" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'target\', \'graph\', \'config\'], varargs=None, keywords=None, defaults=[\'\', \'None\', \'None\'], " + } + member_method { + name: "as_default" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "close" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "list_devices" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "make_callable" + argspec: "args=[\'self\', \'fetches\', \'feed_list\', \'accept_options\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], " + } + member_method { + name: "partial_run" + argspec: "args=[\'self\', \'handle\', \'fetches\', \'feed_dict\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "partial_run_setup" + argspec: "args=[\'self\', \'fetches\', \'feeds\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "reset" + argspec: "args=[\'target\', \'containers\', \'config\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "run" + argspec: "args=[\'self\', \'fetches\', \'feed_dict\', \'options\', \'run_metadata\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-sparse-conditional-accumulator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-sparse-conditional-accumulator.pbtxt new file mode 100644 index 0000000000..2260279ad2 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-sparse-conditional-accumulator.pbtxt @@ -0,0 +1,46 @@ +path: "tensorflow.SparseConditionalAccumulator" +tf_class { + is_instance: "<class \'tensorflow.python.ops.data_flow_ops.SparseConditionalAccumulator\'>" + is_instance: "<class \'tensorflow.python.ops.data_flow_ops.ConditionalAccumulatorBase\'>" + is_instance: "<type \'object\'>" + member { + name: "accumulator_ref" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dtype\', \'shape\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'sparse_conditional_accumulator\'], " + } + member_method { + name: "apply_grad" + argspec: "args=[\'self\', \'grad_indices\', \'grad_values\', \'grad_shape\', \'local_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], " + } + member_method { + name: "apply_indexed_slices_grad" + argspec: "args=[\'self\', \'grad\', \'local_step\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], " + } + member_method { + name: "num_accumulated" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_global_step" + argspec: "args=[\'self\', \'new_global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "take_grad" + argspec: "args=[\'self\', \'num_required\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "take_indexed_slices_grad" + argspec: "args=[\'self\', \'num_required\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-sparse-feature.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-sparse-feature.pbtxt new file mode 100644 index 0000000000..d875394fb5 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-sparse-feature.pbtxt @@ -0,0 +1,35 @@ +path: "tensorflow.SparseFeature" +tf_class { + is_instance: "<class \'tensorflow.python.ops.parsing_ops.SparseFeature\'>" + is_instance: "<class \'tensorflow.python.ops.parsing_ops.SparseFeature\'>" + is_instance: "<type \'tuple\'>" + member { + name: "already_sorted" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "index_key" + mtype: "<type \'property\'>" + } + member { + name: "size" + mtype: "<type \'property\'>" + } + member { + name: "value_key" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + } + member_method { + name: "count" + } + member_method { + name: "index" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-sparse-tensor-value.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-sparse-tensor-value.pbtxt new file mode 100644 index 0000000000..d33fd4d5d7 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-sparse-tensor-value.pbtxt @@ -0,0 +1,26 @@ +path: "tensorflow.SparseTensorValue" +tf_class { + is_instance: "<class \'tensorflow.python.framework.sparse_tensor.SparseTensorValue\'>" + is_instance: "<type \'tuple\'>" + member { + name: "dense_shape" + mtype: "<type \'property\'>" + } + member { + name: "indices" + mtype: "<type \'property\'>" + } + member { + name: "values" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + } + member_method { + name: "count" + } + member_method { + name: "index" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-sparse-tensor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-sparse-tensor.pbtxt new file mode 100644 index 0000000000..eac236d498 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-sparse-tensor.pbtxt @@ -0,0 +1,46 @@ +path: "tensorflow.SparseTensor" +tf_class { + is_instance: "<class \'tensorflow.python.framework.sparse_tensor.SparseTensor\'>" + is_instance: "<class \'tensorflow.python.framework.ops._TensorLike\'>" + is_instance: "<type \'object\'>" + member { + name: "dense_shape" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "indices" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member { + name: "values" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'indices\', \'values\', \'dense_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "eval" + argspec: "args=[\'self\', \'feed_dict\', \'session\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "from_value" + argspec: "args=[\'cls\', \'sparse_tensor_value\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_shape" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-summary-metadata.-plugin-data.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-summary-metadata.-plugin-data.pbtxt new file mode 100644 index 0000000000..a66b74b315 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-summary-metadata.-plugin-data.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.SummaryMetadata.PluginData" +tf_proto { + descriptor { + name: "PluginData" + field { + name: "plugin_name" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "content" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_BYTES + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-summary-metadata.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-summary-metadata.pbtxt new file mode 100644 index 0000000000..c02575b962 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-summary-metadata.pbtxt @@ -0,0 +1,40 @@ +path: "tensorflow.SummaryMetadata" +tf_proto { + descriptor { + name: "SummaryMetadata" + field { + name: "plugin_data" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.SummaryMetadata.PluginData" + } + field { + name: "display_name" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "summary_description" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + nested_type { + name: "PluginData" + field { + name: "plugin_name" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "content" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_BYTES + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-summary.-audio.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-summary.-audio.pbtxt new file mode 100644 index 0000000000..94f712073e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-summary.-audio.pbtxt @@ -0,0 +1,36 @@ +path: "tensorflow.Summary.Audio" +tf_proto { + descriptor { + name: "Audio" + field { + name: "sample_rate" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_FLOAT + } + field { + name: "num_channels" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "length_frames" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "encoded_audio_string" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_BYTES + } + field { + name: "content_type" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-summary.-image.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-summary.-image.pbtxt new file mode 100644 index 0000000000..fc1acb483b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-summary.-image.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.Summary.Image" +tf_proto { + descriptor { + name: "Image" + field { + name: "height" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "width" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "colorspace" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "encoded_image_string" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_BYTES + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-summary.-value.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-summary.-value.pbtxt new file mode 100644 index 0000000000..feb84b6ee9 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-summary.-value.pbtxt @@ -0,0 +1,74 @@ +path: "tensorflow.Summary.Value" +tf_proto { + descriptor { + name: "Value" + field { + name: "node_name" + number: 7 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "tag" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "metadata" + number: 9 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.SummaryMetadata" + } + field { + name: "simple_value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_FLOAT + oneof_index: 0 + } + field { + name: "obsolete_old_style_histogram" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_BYTES + oneof_index: 0 + } + field { + name: "image" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.Summary.Image" + oneof_index: 0 + } + field { + name: "histo" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.HistogramProto" + oneof_index: 0 + } + field { + name: "audio" + number: 6 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.Summary.Audio" + oneof_index: 0 + } + field { + name: "tensor" + number: 8 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.TensorProto" + oneof_index: 0 + } + oneof_decl { + name: "value" + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-summary.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-summary.pbtxt new file mode 100644 index 0000000000..b2bdff7171 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-summary.pbtxt @@ -0,0 +1,144 @@ +path: "tensorflow.Summary" +tf_proto { + descriptor { + name: "Summary" + field { + name: "value" + number: 1 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.Summary.Value" + } + nested_type { + name: "Image" + field { + name: "height" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "width" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "colorspace" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "encoded_image_string" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_BYTES + } + } + nested_type { + name: "Audio" + field { + name: "sample_rate" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_FLOAT + } + field { + name: "num_channels" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "length_frames" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "encoded_audio_string" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_BYTES + } + field { + name: "content_type" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + } + nested_type { + name: "Value" + field { + name: "node_name" + number: 7 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "tag" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "metadata" + number: 9 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.SummaryMetadata" + } + field { + name: "simple_value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_FLOAT + oneof_index: 0 + } + field { + name: "obsolete_old_style_histogram" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_BYTES + oneof_index: 0 + } + field { + name: "image" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.Summary.Image" + oneof_index: 0 + } + field { + name: "histo" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.HistogramProto" + oneof_index: 0 + } + field { + name: "audio" + number: 6 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.Summary.Audio" + oneof_index: 0 + } + field { + name: "tensor" + number: 8 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.TensorProto" + oneof_index: 0 + } + oneof_decl { + name: "value" + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-t-f-record-reader.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-t-f-record-reader.pbtxt new file mode 100644 index 0000000000..cdf7937391 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-t-f-record-reader.pbtxt @@ -0,0 +1,46 @@ +path: "tensorflow.TFRecordReader" +tf_class { + is_instance: "<class \'tensorflow.python.ops.io_ops.TFRecordReader\'>" + is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>" + is_instance: "<type \'object\'>" + member { + name: "reader_ref" + mtype: "<type \'property\'>" + } + member { + name: "supports_serialize" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'name\', \'options\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "num_records_produced" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "num_work_units_completed" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "read" + argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "read_up_to" + argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "reset" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "restore_state" + argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "serialize_state" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-tensor-array.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-tensor-array.pbtxt new file mode 100644 index 0000000000..ed088c41ed --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-tensor-array.pbtxt @@ -0,0 +1,69 @@ +path: "tensorflow.TensorArray" +tf_class { + is_instance: "<class \'tensorflow.python.ops.tensor_array_ops.TensorArray\'>" + is_instance: "<type \'object\'>" + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "flow" + mtype: "<type \'property\'>" + } + member { + name: "handle" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dtype\', \'size\', \'dynamic_size\', \'clear_after_read\', \'tensor_array_name\', \'handle\', \'flow\', \'infer_shape\', \'element_shape\', \'colocate_with_first_write_call\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "close" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "concat" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "gather" + argspec: "args=[\'self\', \'indices\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "grad" + argspec: "args=[\'self\', \'source\', \'flow\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "identity" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "read" + argspec: "args=[\'self\', \'index\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "scatter" + argspec: "args=[\'self\', \'indices\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "size" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "split" + argspec: "args=[\'self\', \'value\', \'lengths\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "stack" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "unstack" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "write" + argspec: "args=[\'self\', \'index\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-tensor-info.-coo-sparse.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-tensor-info.-coo-sparse.pbtxt new file mode 100644 index 0000000000..0064c8460c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-tensor-info.-coo-sparse.pbtxt @@ -0,0 +1,24 @@ +path: "tensorflow.TensorInfo.CooSparse" +tf_proto { + descriptor { + name: "CooSparse" + field { + name: "values_tensor_name" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "indices_tensor_name" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "dense_shape_tensor_name" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-tensor-info.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-tensor-info.pbtxt new file mode 100644 index 0000000000..63566c808e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-tensor-info.pbtxt @@ -0,0 +1,59 @@ +path: "tensorflow.TensorInfo" +tf_proto { + descriptor { + name: "TensorInfo" + field { + name: "name" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + oneof_index: 0 + } + field { + name: "coo_sparse" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.TensorInfo.CooSparse" + oneof_index: 0 + } + field { + name: "dtype" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_ENUM + type_name: ".tensorflow.DataType" + } + field { + name: "tensor_shape" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.TensorShapeProto" + } + nested_type { + name: "CooSparse" + field { + name: "values_tensor_name" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "indices_tensor_name" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "dense_shape_tensor_name" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + } + oneof_decl { + name: "encoding" + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-tensor-shape.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-tensor-shape.pbtxt new file mode 100644 index 0000000000..8e3598fb24 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-tensor-shape.pbtxt @@ -0,0 +1,77 @@ +path: "tensorflow.TensorShape" +tf_class { + is_instance: "<class \'tensorflow.python.framework.tensor_shape.TensorShape\'>" + is_instance: "<type \'object\'>" + member { + name: "dims" + mtype: "<type \'property\'>" + } + member { + name: "ndims" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dims\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "as_list" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "as_proto" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "assert_has_rank" + argspec: "args=[\'self\', \'rank\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "assert_is_compatible_with" + argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "assert_is_fully_defined" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "assert_same_rank" + argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "concatenate" + argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "is_compatible_with" + argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "is_fully_defined" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "merge_with" + argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "most_specific_compatible_shape" + argspec: "args=[\'self\', \'other\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "num_elements" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "with_rank" + argspec: "args=[\'self\', \'rank\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "with_rank_at_least" + argspec: "args=[\'self\', \'rank\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "with_rank_at_most" + argspec: "args=[\'self\', \'rank\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-tensor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-tensor.pbtxt new file mode 100644 index 0000000000..38d19bb537 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-tensor.pbtxt @@ -0,0 +1,58 @@ +path: "tensorflow.Tensor" +tf_class { + is_instance: "<class \'tensorflow.python.framework.ops.Tensor\'>" + is_instance: "<class \'tensorflow.python.framework.ops._TensorLike\'>" + is_instance: "<type \'object\'>" + member { + name: "OVERLOADABLE_OPERATORS" + mtype: "<type \'set\'>" + } + member { + name: "device" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member { + name: "value_index" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'op\', \'value_index\', \'dtype\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "consumers" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "eval" + argspec: "args=[\'self\', \'feed_dict\', \'session\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "get_shape" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_shape" + argspec: "args=[\'self\', \'shape\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-text-line-reader.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-text-line-reader.pbtxt new file mode 100644 index 0000000000..e9779f0762 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-text-line-reader.pbtxt @@ -0,0 +1,46 @@ +path: "tensorflow.TextLineReader" +tf_class { + is_instance: "<class \'tensorflow.python.ops.io_ops.TextLineReader\'>" + is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>" + is_instance: "<type \'object\'>" + member { + name: "reader_ref" + mtype: "<type \'property\'>" + } + member { + name: "supports_serialize" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'skip_header_lines\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "num_records_produced" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "num_work_units_completed" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "read" + argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "read_up_to" + argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "reset" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "restore_state" + argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "serialize_state" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-var-len-feature.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-var-len-feature.pbtxt new file mode 100644 index 0000000000..54b66f43f8 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-var-len-feature.pbtxt @@ -0,0 +1,19 @@ +path: "tensorflow.VarLenFeature" +tf_class { + is_instance: "<class \'tensorflow.python.ops.parsing_ops.VarLenFeature\'>" + is_instance: "<class \'tensorflow.python.ops.parsing_ops.VarLenFeature\'>" + is_instance: "<type \'tuple\'>" + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + } + member_method { + name: "count" + } + member_method { + name: "index" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-variable-aggregation.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-variable-aggregation.pbtxt new file mode 100644 index 0000000000..36b534af36 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-variable-aggregation.pbtxt @@ -0,0 +1,16 @@ +path: "tensorflow.VariableAggregation" +tf_class { + is_instance: "<enum \'VariableAggregation\'>" + member { + name: "MEAN" + mtype: "<enum \'VariableAggregation\'>" + } + member { + name: "NONE" + mtype: "<enum \'VariableAggregation\'>" + } + member { + name: "SUM" + mtype: "<enum \'VariableAggregation\'>" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-variable-scope.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-variable-scope.pbtxt new file mode 100644 index 0000000000..c13eb7b8bb --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-variable-scope.pbtxt @@ -0,0 +1,105 @@ +path: "tensorflow.VariableScope" +tf_class { + is_instance: "<class \'tensorflow.python.ops.variable_scope.VariableScope\'>" + is_instance: "<type \'object\'>" + member { + name: "caching_device" + mtype: "<type \'property\'>" + } + member { + name: "constraint" + mtype: "<type \'property\'>" + } + member { + name: "custom_getter" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "initializer" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "original_name_scope" + mtype: "<type \'property\'>" + } + member { + name: "partitioner" + mtype: "<type \'property\'>" + } + member { + name: "regularizer" + mtype: "<type \'property\'>" + } + member { + name: "reuse" + mtype: "<type \'property\'>" + } + member { + name: "use_resource" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'reuse\', \'name\', \'initializer\', \'regularizer\', \'caching_device\', \'partitioner\', \'custom_getter\', \'name_scope\', \'dtype\', \'use_resource\', \'constraint\'], varargs=None, keywords=None, defaults=[\'\', \'None\', \'None\', \'None\', \'None\', \'None\', \'\', \"<dtype: \'float32\'>\", \'None\', \'None\'], " + } + member_method { + name: "get_collection" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_variable" + argspec: "args=[\'self\', \'var_store\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'reuse\', \'trainable\', \'collections\', \'caching_device\', \'partitioner\', \'validate_shape\', \'use_resource\', \'custom_getter\', \'constraint\', \'synchronization\', \'aggregation\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], " + } + member_method { + name: "global_variables" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "local_variables" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "reuse_variables" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_caching_device" + argspec: "args=[\'self\', \'caching_device\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_custom_getter" + argspec: "args=[\'self\', \'custom_getter\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_dtype" + argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_initializer" + argspec: "args=[\'self\', \'initializer\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_partitioner" + argspec: "args=[\'self\', \'partitioner\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_regularizer" + argspec: "args=[\'self\', \'regularizer\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_use_resource" + argspec: "args=[\'self\', \'use_resource\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "trainable_variables" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-variable-synchronization.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-variable-synchronization.pbtxt new file mode 100644 index 0000000000..7589bb2888 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-variable-synchronization.pbtxt @@ -0,0 +1,20 @@ +path: "tensorflow.VariableSynchronization" +tf_class { + is_instance: "<enum \'VariableSynchronization\'>" + member { + name: "AUTO" + mtype: "<enum \'VariableSynchronization\'>" + } + member { + name: "NONE" + mtype: "<enum \'VariableSynchronization\'>" + } + member { + name: "ON_READ" + mtype: "<enum \'VariableSynchronization\'>" + } + member { + name: "ON_WRITE" + mtype: "<enum \'VariableSynchronization\'>" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-variable.-save-slice-info.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-variable.-save-slice-info.pbtxt new file mode 100644 index 0000000000..ac3ccd468b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-variable.-save-slice-info.pbtxt @@ -0,0 +1,17 @@ +path: "tensorflow.Variable.SaveSliceInfo" +tf_class { + is_instance: "<class \'tensorflow.python.ops.variables.SaveSliceInfo\'>" + is_instance: "<type \'object\'>" + member { + name: "spec" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'full_name\', \'full_shape\', \'var_offset\', \'var_shape\', \'save_slice_info_def\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "to_proto" + argspec: "args=[\'self\', \'export_scope\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-variable.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-variable.pbtxt new file mode 100644 index 0000000000..e841c4ad89 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-variable.pbtxt @@ -0,0 +1,110 @@ +path: "tensorflow.Variable" +tf_class { + is_instance: "<class \'tensorflow.python.ops.variables.Variable\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "SaveSliceInfo" + mtype: "<type \'type\'>" + } + member { + name: "constraint" + mtype: "<type \'property\'>" + } + member { + name: "device" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "initial_value" + mtype: "<type \'property\'>" + } + member { + name: "initializer" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'initial_value\', \'trainable\', \'collections\', \'validate_shape\', \'caching_device\', \'name\', \'variable_def\', \'dtype\', \'expected_shape\', \'import_scope\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], " + } + member_method { + name: "assign" + argspec: "args=[\'self\', \'value\', \'use_locking\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "assign_add" + argspec: "args=[\'self\', \'delta\', \'use_locking\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "assign_sub" + argspec: "args=[\'self\', \'delta\', \'use_locking\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "count_up_to" + argspec: "args=[\'self\', \'limit\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "eval" + argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "from_proto" + argspec: "args=[\'variable_def\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_shape" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "initialized_value" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "load" + argspec: "args=[\'self\', \'value\', \'session\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "read_value" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "scatter_sub" + argspec: "args=[\'self\', \'sparse_delta\', \'use_locking\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "set_shape" + argspec: "args=[\'self\', \'shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "to_proto" + argspec: "args=[\'self\', \'export_scope\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "value" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.-whole-file-reader.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.-whole-file-reader.pbtxt new file mode 100644 index 0000000000..4ac759891c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.-whole-file-reader.pbtxt @@ -0,0 +1,46 @@ +path: "tensorflow.WholeFileReader" +tf_class { + is_instance: "<class \'tensorflow.python.ops.io_ops.WholeFileReader\'>" + is_instance: "<class \'tensorflow.python.ops.io_ops.ReaderBase\'>" + is_instance: "<type \'object\'>" + member { + name: "reader_ref" + mtype: "<type \'property\'>" + } + member { + name: "supports_serialize" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "num_records_produced" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "num_work_units_completed" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "read" + argspec: "args=[\'self\', \'queue\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "read_up_to" + argspec: "args=[\'self\', \'queue\', \'num_records\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "reset" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "restore_state" + argspec: "args=[\'self\', \'state\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "serialize_state" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.app.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.app.pbtxt new file mode 100644 index 0000000000..85044a8987 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.app.pbtxt @@ -0,0 +1,11 @@ +path: "tensorflow.app" +tf_module { + member { + name: "flags" + mtype: "<type \'module\'>" + } + member_method { + name: "run" + argspec: "args=[\'main\', \'argv\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.bitwise.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.bitwise.pbtxt new file mode 100644 index 0000000000..01cbd55c5d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.bitwise.pbtxt @@ -0,0 +1,27 @@ +path: "tensorflow.bitwise" +tf_module { + member_method { + name: "bitwise_and" + argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "bitwise_or" + argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "bitwise_xor" + argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "invert" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "left_shift" + argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "right_shift" + argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.compat.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.compat.pbtxt new file mode 100644 index 0000000000..f1d760603e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.compat.pbtxt @@ -0,0 +1,47 @@ +path: "tensorflow.compat" +tf_module { + member { + name: "bytes_or_text_types" + mtype: "<type \'tuple\'>" + } + member { + name: "complex_types" + mtype: "<type \'tuple\'>" + } + member { + name: "integral_types" + mtype: "<type \'tuple\'>" + } + member { + name: "real_types" + mtype: "<type \'tuple\'>" + } + member_method { + name: "as_bytes" + argspec: "args=[\'bytes_or_text\', \'encoding\'], varargs=None, keywords=None, defaults=[\'utf-8\'], " + } + member_method { + name: "as_str" + argspec: "args=[\'bytes_or_text\', \'encoding\'], varargs=None, keywords=None, defaults=[\'utf-8\'], " + } + member_method { + name: "as_str_any" + argspec: "args=[\'value\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "as_text" + argspec: "args=[\'bytes_or_text\', \'encoding\'], varargs=None, keywords=None, defaults=[\'utf-8\'], " + } + member_method { + name: "forward_compatibility_horizon" + argspec: "args=[\'year\', \'month\', \'day\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "forward_compatible" + argspec: "args=[\'year\', \'month\', \'day\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "path_to_str" + argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.constant_initializer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.constant_initializer.pbtxt new file mode 100644 index 0000000000..00ec669b16 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.constant_initializer.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.constant_initializer" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.Constant\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'value\', \'dtype\', \'verify_shape\'], varargs=None, keywords=None, defaults=[\'0\', \"<dtype: \'float32\'>\", \'False\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.-dataset.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.-dataset.__metaclass__.pbtxt new file mode 100644 index 0000000000..af08c88d33 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.data.-dataset.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.data.Dataset.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.-dataset.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.-dataset.pbtxt new file mode 100644 index 0000000000..834f0954d5 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.data.-dataset.pbtxt @@ -0,0 +1,117 @@ +path: "tensorflow.data.Dataset" +tf_class { + is_instance: "<class \'tensorflow.python.data.ops.dataset_ops.Dataset\'>" + is_instance: "<type \'object\'>" + member { + name: "output_classes" + mtype: "<class \'abc.abstractproperty\'>" + } + member { + name: "output_shapes" + mtype: "<class \'abc.abstractproperty\'>" + } + member { + name: "output_types" + mtype: "<class \'abc.abstractproperty\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'transformation_func\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "batch" + argspec: "args=[\'self\', \'batch_size\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "cache" + argspec: "args=[\'self\', \'filename\'], varargs=None, keywords=None, defaults=[\'\'], " + } + member_method { + name: "concatenate" + argspec: "args=[\'self\', \'dataset\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "filter" + argspec: "args=[\'self\', \'predicate\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "flat_map" + argspec: "args=[\'self\', \'map_func\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_generator" + argspec: "args=[\'generator\', \'output_types\', \'output_shapes\', \'args\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "from_sparse_tensor_slices" + argspec: "args=[\'sparse_tensor\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_tensor_slices" + argspec: "args=[\'tensors\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_tensors" + argspec: "args=[\'tensors\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "interleave" + argspec: "args=[\'self\', \'map_func\', \'cycle_length\', \'block_length\'], varargs=None, keywords=None, defaults=[\'1\'], " + } + member_method { + name: "list_files" + argspec: "args=[\'file_pattern\', \'shuffle\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "make_initializable_iterator" + argspec: "args=[\'self\', \'shared_name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "make_one_shot_iterator" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "map" + argspec: "args=[\'self\', \'map_func\', \'num_parallel_calls\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "padded_batch" + argspec: "args=[\'self\', \'batch_size\', \'padded_shapes\', \'padding_values\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], " + } + member_method { + name: "prefetch" + argspec: "args=[\'self\', \'buffer_size\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "range" + argspec: "args=[], varargs=args, keywords=None, defaults=None" + } + member_method { + name: "repeat" + argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "shard" + argspec: "args=[\'self\', \'num_shards\', \'index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "shuffle" + argspec: "args=[\'self\', \'buffer_size\', \'seed\', \'reshuffle_each_iteration\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "skip" + argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "take" + argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "zip" + argspec: "args=[\'datasets\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.-fixed-length-record-dataset.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.-fixed-length-record-dataset.__metaclass__.pbtxt new file mode 100644 index 0000000000..f384323fc8 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.data.-fixed-length-record-dataset.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.data.FixedLengthRecordDataset.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.-fixed-length-record-dataset.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.-fixed-length-record-dataset.pbtxt new file mode 100644 index 0000000000..4d854a4cee --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.data.-fixed-length-record-dataset.pbtxt @@ -0,0 +1,118 @@ +path: "tensorflow.data.FixedLengthRecordDataset" +tf_class { + is_instance: "<class \'tensorflow.python.data.ops.readers.FixedLengthRecordDataset\'>" + is_instance: "<class \'tensorflow.python.data.ops.dataset_ops.Dataset\'>" + is_instance: "<type \'object\'>" + member { + name: "output_classes" + mtype: "<type \'property\'>" + } + member { + name: "output_shapes" + mtype: "<type \'property\'>" + } + member { + name: "output_types" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filenames\', \'record_bytes\', \'header_bytes\', \'footer_bytes\', \'buffer_size\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'transformation_func\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "batch" + argspec: "args=[\'self\', \'batch_size\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "cache" + argspec: "args=[\'self\', \'filename\'], varargs=None, keywords=None, defaults=[\'\'], " + } + member_method { + name: "concatenate" + argspec: "args=[\'self\', \'dataset\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "filter" + argspec: "args=[\'self\', \'predicate\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "flat_map" + argspec: "args=[\'self\', \'map_func\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_generator" + argspec: "args=[\'generator\', \'output_types\', \'output_shapes\', \'args\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "from_sparse_tensor_slices" + argspec: "args=[\'sparse_tensor\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_tensor_slices" + argspec: "args=[\'tensors\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_tensors" + argspec: "args=[\'tensors\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "interleave" + argspec: "args=[\'self\', \'map_func\', \'cycle_length\', \'block_length\'], varargs=None, keywords=None, defaults=[\'1\'], " + } + member_method { + name: "list_files" + argspec: "args=[\'file_pattern\', \'shuffle\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "make_initializable_iterator" + argspec: "args=[\'self\', \'shared_name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "make_one_shot_iterator" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "map" + argspec: "args=[\'self\', \'map_func\', \'num_parallel_calls\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "padded_batch" + argspec: "args=[\'self\', \'batch_size\', \'padded_shapes\', \'padding_values\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], " + } + member_method { + name: "prefetch" + argspec: "args=[\'self\', \'buffer_size\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "range" + argspec: "args=[], varargs=args, keywords=None, defaults=None" + } + member_method { + name: "repeat" + argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "shard" + argspec: "args=[\'self\', \'num_shards\', \'index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "shuffle" + argspec: "args=[\'self\', \'buffer_size\', \'seed\', \'reshuffle_each_iteration\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "skip" + argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "take" + argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "zip" + argspec: "args=[\'datasets\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.-iterator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.-iterator.pbtxt new file mode 100644 index 0000000000..1f9aeb6ad6 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.data.-iterator.pbtxt @@ -0,0 +1,45 @@ +path: "tensorflow.data.Iterator" +tf_class { + is_instance: "<class \'tensorflow.python.data.ops.iterator_ops.Iterator\'>" + is_instance: "<type \'object\'>" + member { + name: "initializer" + mtype: "<type \'property\'>" + } + member { + name: "output_classes" + mtype: "<type \'property\'>" + } + member { + name: "output_shapes" + mtype: "<type \'property\'>" + } + member { + name: "output_types" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'iterator_resource\', \'initializer\', \'output_types\', \'output_shapes\', \'output_classes\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_string_handle" + argspec: "args=[\'string_handle\', \'output_types\', \'output_shapes\', \'output_classes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "from_structure" + argspec: "args=[\'output_types\', \'output_shapes\', \'shared_name\', \'output_classes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "get_next" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "make_initializer" + argspec: "args=[\'self\', \'dataset\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "string_handle" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.-t-f-record-dataset.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.-t-f-record-dataset.__metaclass__.pbtxt new file mode 100644 index 0000000000..b12dec8a70 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.data.-t-f-record-dataset.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.data.TFRecordDataset.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.-t-f-record-dataset.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.-t-f-record-dataset.pbtxt new file mode 100644 index 0000000000..601f095a60 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.data.-t-f-record-dataset.pbtxt @@ -0,0 +1,118 @@ +path: "tensorflow.data.TFRecordDataset" +tf_class { + is_instance: "<class \'tensorflow.python.data.ops.readers.TFRecordDataset\'>" + is_instance: "<class \'tensorflow.python.data.ops.dataset_ops.Dataset\'>" + is_instance: "<type \'object\'>" + member { + name: "output_classes" + mtype: "<type \'property\'>" + } + member { + name: "output_shapes" + mtype: "<type \'property\'>" + } + member { + name: "output_types" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filenames\', \'compression_type\', \'buffer_size\', \'num_parallel_reads\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'transformation_func\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "batch" + argspec: "args=[\'self\', \'batch_size\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "cache" + argspec: "args=[\'self\', \'filename\'], varargs=None, keywords=None, defaults=[\'\'], " + } + member_method { + name: "concatenate" + argspec: "args=[\'self\', \'dataset\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "filter" + argspec: "args=[\'self\', \'predicate\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "flat_map" + argspec: "args=[\'self\', \'map_func\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_generator" + argspec: "args=[\'generator\', \'output_types\', \'output_shapes\', \'args\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "from_sparse_tensor_slices" + argspec: "args=[\'sparse_tensor\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_tensor_slices" + argspec: "args=[\'tensors\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_tensors" + argspec: "args=[\'tensors\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "interleave" + argspec: "args=[\'self\', \'map_func\', \'cycle_length\', \'block_length\'], varargs=None, keywords=None, defaults=[\'1\'], " + } + member_method { + name: "list_files" + argspec: "args=[\'file_pattern\', \'shuffle\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "make_initializable_iterator" + argspec: "args=[\'self\', \'shared_name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "make_one_shot_iterator" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "map" + argspec: "args=[\'self\', \'map_func\', \'num_parallel_calls\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "padded_batch" + argspec: "args=[\'self\', \'batch_size\', \'padded_shapes\', \'padding_values\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], " + } + member_method { + name: "prefetch" + argspec: "args=[\'self\', \'buffer_size\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "range" + argspec: "args=[], varargs=args, keywords=None, defaults=None" + } + member_method { + name: "repeat" + argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "shard" + argspec: "args=[\'self\', \'num_shards\', \'index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "shuffle" + argspec: "args=[\'self\', \'buffer_size\', \'seed\', \'reshuffle_each_iteration\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "skip" + argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "take" + argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "zip" + argspec: "args=[\'datasets\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.-text-line-dataset.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.-text-line-dataset.__metaclass__.pbtxt new file mode 100644 index 0000000000..7ddcdce266 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.data.-text-line-dataset.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.data.TextLineDataset.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.-text-line-dataset.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.-text-line-dataset.pbtxt new file mode 100644 index 0000000000..587829a4c0 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.data.-text-line-dataset.pbtxt @@ -0,0 +1,118 @@ +path: "tensorflow.data.TextLineDataset" +tf_class { + is_instance: "<class \'tensorflow.python.data.ops.readers.TextLineDataset\'>" + is_instance: "<class \'tensorflow.python.data.ops.dataset_ops.Dataset\'>" + is_instance: "<type \'object\'>" + member { + name: "output_classes" + mtype: "<type \'property\'>" + } + member { + name: "output_shapes" + mtype: "<type \'property\'>" + } + member { + name: "output_types" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filenames\', \'compression_type\', \'buffer_size\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'transformation_func\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "batch" + argspec: "args=[\'self\', \'batch_size\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "cache" + argspec: "args=[\'self\', \'filename\'], varargs=None, keywords=None, defaults=[\'\'], " + } + member_method { + name: "concatenate" + argspec: "args=[\'self\', \'dataset\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "filter" + argspec: "args=[\'self\', \'predicate\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "flat_map" + argspec: "args=[\'self\', \'map_func\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_generator" + argspec: "args=[\'generator\', \'output_types\', \'output_shapes\', \'args\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "from_sparse_tensor_slices" + argspec: "args=[\'sparse_tensor\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_tensor_slices" + argspec: "args=[\'tensors\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_tensors" + argspec: "args=[\'tensors\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "interleave" + argspec: "args=[\'self\', \'map_func\', \'cycle_length\', \'block_length\'], varargs=None, keywords=None, defaults=[\'1\'], " + } + member_method { + name: "list_files" + argspec: "args=[\'file_pattern\', \'shuffle\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "make_initializable_iterator" + argspec: "args=[\'self\', \'shared_name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "make_one_shot_iterator" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "map" + argspec: "args=[\'self\', \'map_func\', \'num_parallel_calls\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "padded_batch" + argspec: "args=[\'self\', \'batch_size\', \'padded_shapes\', \'padding_values\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], " + } + member_method { + name: "prefetch" + argspec: "args=[\'self\', \'buffer_size\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "range" + argspec: "args=[], varargs=args, keywords=None, defaults=None" + } + member_method { + name: "repeat" + argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "shard" + argspec: "args=[\'self\', \'num_shards\', \'index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "shuffle" + argspec: "args=[\'self\', \'buffer_size\', \'seed\', \'reshuffle_each_iteration\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "skip" + argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "take" + argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "zip" + argspec: "args=[\'datasets\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.data.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.data.pbtxt new file mode 100644 index 0000000000..56fb270a49 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.data.pbtxt @@ -0,0 +1,23 @@ +path: "tensorflow.data" +tf_module { + member { + name: "Dataset" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "FixedLengthRecordDataset" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "Iterator" + mtype: "<type \'type\'>" + } + member { + name: "TFRecordDataset" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "TextLineDataset" + mtype: "<class \'abc.ABCMeta\'>" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.debugging.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.debugging.pbtxt new file mode 100644 index 0000000000..d9efe97821 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.debugging.pbtxt @@ -0,0 +1,19 @@ +path: "tensorflow.debugging" +tf_module { + member_method { + name: "check_numerics" + argspec: "args=[\'tensor\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "is_finite" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "is_inf" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "is_nan" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-bernoulli.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-bernoulli.pbtxt new file mode 100644 index 0000000000..ca96f4eaec --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-bernoulli.pbtxt @@ -0,0 +1,143 @@ +path: "tensorflow.distributions.Bernoulli" +tf_class { + is_instance: "<class \'tensorflow.python.ops.distributions.bernoulli.Bernoulli\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>" + is_instance: "<type \'object\'>" + member { + name: "allow_nan_stats" + mtype: "<type \'property\'>" + } + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "event_shape" + mtype: "<type \'property\'>" + } + member { + name: "logits" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "parameters" + mtype: "<type \'property\'>" + } + member { + name: "probs" + mtype: "<type \'property\'>" + } + member { + name: "reparameterization_type" + mtype: "<type \'property\'>" + } + member { + name: "validate_args" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'logits\', \'probs\', \'dtype\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \"<dtype: \'int32\'>\", \'False\', \'True\', \'Bernoulli\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], " + } + member_method { + name: "copy" + argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None" + } + member_method { + name: "covariance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], " + } + member_method { + name: "cross_entropy" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], " + } + member_method { + name: "entropy" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], " + } + member_method { + name: "event_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], " + } + member_method { + name: "is_scalar_batch" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], " + } + member_method { + name: "is_scalar_event" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], " + } + member_method { + name: "kl_divergence" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], " + } + member_method { + name: "log_cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], " + } + member_method { + name: "log_prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], " + } + member_method { + name: "log_survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], " + } + member_method { + name: "mean" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], " + } + member_method { + name: "mode" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], " + } + member_method { + name: "param_shapes" + argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], " + } + member_method { + name: "param_static_shapes" + argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], " + } + member_method { + name: "quantile" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], " + } + member_method { + name: "sample" + argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], " + } + member_method { + name: "stddev" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], " + } + member_method { + name: "survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], " + } + member_method { + name: "variance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-beta.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-beta.pbtxt new file mode 100644 index 0000000000..d0508acd9f --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-beta.pbtxt @@ -0,0 +1,147 @@ +path: "tensorflow.distributions.Beta" +tf_class { + is_instance: "<class \'tensorflow.python.ops.distributions.beta.Beta\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>" + is_instance: "<type \'object\'>" + member { + name: "allow_nan_stats" + mtype: "<type \'property\'>" + } + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "concentration0" + mtype: "<type \'property\'>" + } + member { + name: "concentration1" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "event_shape" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "parameters" + mtype: "<type \'property\'>" + } + member { + name: "reparameterization_type" + mtype: "<type \'property\'>" + } + member { + name: "total_concentration" + mtype: "<type \'property\'>" + } + member { + name: "validate_args" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'concentration1\', \'concentration0\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\', \'True\', \'Beta\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], " + } + member_method { + name: "copy" + argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None" + } + member_method { + name: "covariance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], " + } + member_method { + name: "cross_entropy" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], " + } + member_method { + name: "entropy" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], " + } + member_method { + name: "event_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], " + } + member_method { + name: "is_scalar_batch" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], " + } + member_method { + name: "is_scalar_event" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], " + } + member_method { + name: "kl_divergence" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], " + } + member_method { + name: "log_cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], " + } + member_method { + name: "log_prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], " + } + member_method { + name: "log_survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], " + } + member_method { + name: "mean" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], " + } + member_method { + name: "mode" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], " + } + member_method { + name: "param_shapes" + argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], " + } + member_method { + name: "param_static_shapes" + argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], " + } + member_method { + name: "quantile" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], " + } + member_method { + name: "sample" + argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], " + } + member_method { + name: "stddev" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], " + } + member_method { + name: "survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], " + } + member_method { + name: "variance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-categorical.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-categorical.pbtxt new file mode 100644 index 0000000000..ff0fbb56cd --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-categorical.pbtxt @@ -0,0 +1,147 @@ +path: "tensorflow.distributions.Categorical" +tf_class { + is_instance: "<class \'tensorflow.python.ops.distributions.categorical.Categorical\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>" + is_instance: "<type \'object\'>" + member { + name: "allow_nan_stats" + mtype: "<type \'property\'>" + } + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "event_shape" + mtype: "<type \'property\'>" + } + member { + name: "event_size" + mtype: "<type \'property\'>" + } + member { + name: "logits" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "parameters" + mtype: "<type \'property\'>" + } + member { + name: "probs" + mtype: "<type \'property\'>" + } + member { + name: "reparameterization_type" + mtype: "<type \'property\'>" + } + member { + name: "validate_args" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'logits\', \'probs\', \'dtype\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \"<dtype: \'int32\'>\", \'False\', \'True\', \'Categorical\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], " + } + member_method { + name: "copy" + argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None" + } + member_method { + name: "covariance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], " + } + member_method { + name: "cross_entropy" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], " + } + member_method { + name: "entropy" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], " + } + member_method { + name: "event_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], " + } + member_method { + name: "is_scalar_batch" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], " + } + member_method { + name: "is_scalar_event" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], " + } + member_method { + name: "kl_divergence" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], " + } + member_method { + name: "log_cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], " + } + member_method { + name: "log_prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], " + } + member_method { + name: "log_survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], " + } + member_method { + name: "mean" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], " + } + member_method { + name: "mode" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], " + } + member_method { + name: "param_shapes" + argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], " + } + member_method { + name: "param_static_shapes" + argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], " + } + member_method { + name: "quantile" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], " + } + member_method { + name: "sample" + argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], " + } + member_method { + name: "stddev" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], " + } + member_method { + name: "survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], " + } + member_method { + name: "variance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-dirichlet-multinomial.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-dirichlet-multinomial.pbtxt new file mode 100644 index 0000000000..d75e4a2f88 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-dirichlet-multinomial.pbtxt @@ -0,0 +1,147 @@ +path: "tensorflow.distributions.DirichletMultinomial" +tf_class { + is_instance: "<class \'tensorflow.python.ops.distributions.dirichlet_multinomial.DirichletMultinomial\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>" + is_instance: "<type \'object\'>" + member { + name: "allow_nan_stats" + mtype: "<type \'property\'>" + } + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "concentration" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "event_shape" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "parameters" + mtype: "<type \'property\'>" + } + member { + name: "reparameterization_type" + mtype: "<type \'property\'>" + } + member { + name: "total_concentration" + mtype: "<type \'property\'>" + } + member { + name: "total_count" + mtype: "<type \'property\'>" + } + member { + name: "validate_args" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'total_count\', \'concentration\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'DirichletMultinomial\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], " + } + member_method { + name: "copy" + argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None" + } + member_method { + name: "covariance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], " + } + member_method { + name: "cross_entropy" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], " + } + member_method { + name: "entropy" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], " + } + member_method { + name: "event_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], " + } + member_method { + name: "is_scalar_batch" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], " + } + member_method { + name: "is_scalar_event" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], " + } + member_method { + name: "kl_divergence" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], " + } + member_method { + name: "log_cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], " + } + member_method { + name: "log_prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], " + } + member_method { + name: "log_survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], " + } + member_method { + name: "mean" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], " + } + member_method { + name: "mode" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], " + } + member_method { + name: "param_shapes" + argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], " + } + member_method { + name: "param_static_shapes" + argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], " + } + member_method { + name: "quantile" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], " + } + member_method { + name: "sample" + argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], " + } + member_method { + name: "stddev" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], " + } + member_method { + name: "survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], " + } + member_method { + name: "variance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-dirichlet.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-dirichlet.pbtxt new file mode 100644 index 0000000000..b838b9ae21 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-dirichlet.pbtxt @@ -0,0 +1,143 @@ +path: "tensorflow.distributions.Dirichlet" +tf_class { + is_instance: "<class \'tensorflow.python.ops.distributions.dirichlet.Dirichlet\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>" + is_instance: "<type \'object\'>" + member { + name: "allow_nan_stats" + mtype: "<type \'property\'>" + } + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "concentration" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "event_shape" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "parameters" + mtype: "<type \'property\'>" + } + member { + name: "reparameterization_type" + mtype: "<type \'property\'>" + } + member { + name: "total_concentration" + mtype: "<type \'property\'>" + } + member { + name: "validate_args" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'concentration\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'Dirichlet\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], " + } + member_method { + name: "copy" + argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None" + } + member_method { + name: "covariance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], " + } + member_method { + name: "cross_entropy" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], " + } + member_method { + name: "entropy" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], " + } + member_method { + name: "event_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], " + } + member_method { + name: "is_scalar_batch" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], " + } + member_method { + name: "is_scalar_event" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], " + } + member_method { + name: "kl_divergence" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], " + } + member_method { + name: "log_cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], " + } + member_method { + name: "log_prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], " + } + member_method { + name: "log_survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], " + } + member_method { + name: "mean" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], " + } + member_method { + name: "mode" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], " + } + member_method { + name: "param_shapes" + argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], " + } + member_method { + name: "param_static_shapes" + argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], " + } + member_method { + name: "quantile" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], " + } + member_method { + name: "sample" + argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], " + } + member_method { + name: "stddev" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], " + } + member_method { + name: "survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], " + } + member_method { + name: "variance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-distribution.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-distribution.pbtxt new file mode 100644 index 0000000000..6f06b7d50d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-distribution.pbtxt @@ -0,0 +1,134 @@ +path: "tensorflow.distributions.Distribution" +tf_class { + is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>" + is_instance: "<type \'object\'>" + member { + name: "allow_nan_stats" + mtype: "<type \'property\'>" + } + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "event_shape" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "parameters" + mtype: "<type \'property\'>" + } + member { + name: "reparameterization_type" + mtype: "<type \'property\'>" + } + member { + name: "validate_args" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dtype\', \'reparameterization_type\', \'validate_args\', \'allow_nan_stats\', \'parameters\', \'graph_parents\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], " + } + member_method { + name: "copy" + argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None" + } + member_method { + name: "covariance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], " + } + member_method { + name: "cross_entropy" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], " + } + member_method { + name: "entropy" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], " + } + member_method { + name: "event_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], " + } + member_method { + name: "is_scalar_batch" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], " + } + member_method { + name: "is_scalar_event" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], " + } + member_method { + name: "kl_divergence" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], " + } + member_method { + name: "log_cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], " + } + member_method { + name: "log_prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], " + } + member_method { + name: "log_survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], " + } + member_method { + name: "mean" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], " + } + member_method { + name: "mode" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], " + } + member_method { + name: "param_shapes" + argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], " + } + member_method { + name: "param_static_shapes" + argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], " + } + member_method { + name: "quantile" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], " + } + member_method { + name: "sample" + argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], " + } + member_method { + name: "stddev" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], " + } + member_method { + name: "survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], " + } + member_method { + name: "variance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-exponential.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-exponential.pbtxt new file mode 100644 index 0000000000..d34f9cde5d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-exponential.pbtxt @@ -0,0 +1,144 @@ +path: "tensorflow.distributions.Exponential" +tf_class { + is_instance: "<class \'tensorflow.python.ops.distributions.exponential.Exponential\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.gamma.Gamma\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>" + is_instance: "<type \'object\'>" + member { + name: "allow_nan_stats" + mtype: "<type \'property\'>" + } + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "concentration" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "event_shape" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "parameters" + mtype: "<type \'property\'>" + } + member { + name: "rate" + mtype: "<type \'property\'>" + } + member { + name: "reparameterization_type" + mtype: "<type \'property\'>" + } + member { + name: "validate_args" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'rate\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'Exponential\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], " + } + member_method { + name: "copy" + argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None" + } + member_method { + name: "covariance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], " + } + member_method { + name: "cross_entropy" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], " + } + member_method { + name: "entropy" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], " + } + member_method { + name: "event_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], " + } + member_method { + name: "is_scalar_batch" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], " + } + member_method { + name: "is_scalar_event" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], " + } + member_method { + name: "kl_divergence" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], " + } + member_method { + name: "log_cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], " + } + member_method { + name: "log_prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], " + } + member_method { + name: "log_survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], " + } + member_method { + name: "mean" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], " + } + member_method { + name: "mode" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], " + } + member_method { + name: "param_shapes" + argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], " + } + member_method { + name: "param_static_shapes" + argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], " + } + member_method { + name: "quantile" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], " + } + member_method { + name: "sample" + argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], " + } + member_method { + name: "stddev" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], " + } + member_method { + name: "survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], " + } + member_method { + name: "variance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-gamma.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-gamma.pbtxt new file mode 100644 index 0000000000..df268b8d99 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-gamma.pbtxt @@ -0,0 +1,143 @@ +path: "tensorflow.distributions.Gamma" +tf_class { + is_instance: "<class \'tensorflow.python.ops.distributions.gamma.Gamma\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>" + is_instance: "<type \'object\'>" + member { + name: "allow_nan_stats" + mtype: "<type \'property\'>" + } + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "concentration" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "event_shape" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "parameters" + mtype: "<type \'property\'>" + } + member { + name: "rate" + mtype: "<type \'property\'>" + } + member { + name: "reparameterization_type" + mtype: "<type \'property\'>" + } + member { + name: "validate_args" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'concentration\', \'rate\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'Gamma\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], " + } + member_method { + name: "copy" + argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None" + } + member_method { + name: "covariance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], " + } + member_method { + name: "cross_entropy" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], " + } + member_method { + name: "entropy" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], " + } + member_method { + name: "event_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], " + } + member_method { + name: "is_scalar_batch" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], " + } + member_method { + name: "is_scalar_event" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], " + } + member_method { + name: "kl_divergence" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], " + } + member_method { + name: "log_cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], " + } + member_method { + name: "log_prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], " + } + member_method { + name: "log_survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], " + } + member_method { + name: "mean" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], " + } + member_method { + name: "mode" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], " + } + member_method { + name: "param_shapes" + argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], " + } + member_method { + name: "param_static_shapes" + argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], " + } + member_method { + name: "quantile" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], " + } + member_method { + name: "sample" + argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], " + } + member_method { + name: "stddev" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], " + } + member_method { + name: "survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], " + } + member_method { + name: "variance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-laplace.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-laplace.pbtxt new file mode 100644 index 0000000000..303dcb4ed3 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-laplace.pbtxt @@ -0,0 +1,143 @@ +path: "tensorflow.distributions.Laplace" +tf_class { + is_instance: "<class \'tensorflow.python.ops.distributions.laplace.Laplace\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>" + is_instance: "<type \'object\'>" + member { + name: "allow_nan_stats" + mtype: "<type \'property\'>" + } + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "event_shape" + mtype: "<type \'property\'>" + } + member { + name: "loc" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "parameters" + mtype: "<type \'property\'>" + } + member { + name: "reparameterization_type" + mtype: "<type \'property\'>" + } + member { + name: "scale" + mtype: "<type \'property\'>" + } + member { + name: "validate_args" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'loc\', \'scale\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'Laplace\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], " + } + member_method { + name: "copy" + argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None" + } + member_method { + name: "covariance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], " + } + member_method { + name: "cross_entropy" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], " + } + member_method { + name: "entropy" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], " + } + member_method { + name: "event_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], " + } + member_method { + name: "is_scalar_batch" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], " + } + member_method { + name: "is_scalar_event" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], " + } + member_method { + name: "kl_divergence" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], " + } + member_method { + name: "log_cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], " + } + member_method { + name: "log_prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], " + } + member_method { + name: "log_survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], " + } + member_method { + name: "mean" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], " + } + member_method { + name: "mode" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], " + } + member_method { + name: "param_shapes" + argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], " + } + member_method { + name: "param_static_shapes" + argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], " + } + member_method { + name: "quantile" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], " + } + member_method { + name: "sample" + argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], " + } + member_method { + name: "stddev" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], " + } + member_method { + name: "survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], " + } + member_method { + name: "variance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-multinomial.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-multinomial.pbtxt new file mode 100644 index 0000000000..ecda8acb15 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-multinomial.pbtxt @@ -0,0 +1,147 @@ +path: "tensorflow.distributions.Multinomial" +tf_class { + is_instance: "<class \'tensorflow.python.ops.distributions.multinomial.Multinomial\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>" + is_instance: "<type \'object\'>" + member { + name: "allow_nan_stats" + mtype: "<type \'property\'>" + } + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "event_shape" + mtype: "<type \'property\'>" + } + member { + name: "logits" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "parameters" + mtype: "<type \'property\'>" + } + member { + name: "probs" + mtype: "<type \'property\'>" + } + member { + name: "reparameterization_type" + mtype: "<type \'property\'>" + } + member { + name: "total_count" + mtype: "<type \'property\'>" + } + member { + name: "validate_args" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'total_count\', \'logits\', \'probs\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\', \'True\', \'Multinomial\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], " + } + member_method { + name: "copy" + argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None" + } + member_method { + name: "covariance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], " + } + member_method { + name: "cross_entropy" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], " + } + member_method { + name: "entropy" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], " + } + member_method { + name: "event_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], " + } + member_method { + name: "is_scalar_batch" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], " + } + member_method { + name: "is_scalar_event" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], " + } + member_method { + name: "kl_divergence" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], " + } + member_method { + name: "log_cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], " + } + member_method { + name: "log_prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], " + } + member_method { + name: "log_survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], " + } + member_method { + name: "mean" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], " + } + member_method { + name: "mode" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], " + } + member_method { + name: "param_shapes" + argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], " + } + member_method { + name: "param_static_shapes" + argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], " + } + member_method { + name: "quantile" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], " + } + member_method { + name: "sample" + argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], " + } + member_method { + name: "stddev" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], " + } + member_method { + name: "survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], " + } + member_method { + name: "variance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-normal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-normal.pbtxt new file mode 100644 index 0000000000..92b9eeea22 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-normal.pbtxt @@ -0,0 +1,143 @@ +path: "tensorflow.distributions.Normal" +tf_class { + is_instance: "<class \'tensorflow.python.ops.distributions.normal.Normal\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>" + is_instance: "<type \'object\'>" + member { + name: "allow_nan_stats" + mtype: "<type \'property\'>" + } + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "event_shape" + mtype: "<type \'property\'>" + } + member { + name: "loc" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "parameters" + mtype: "<type \'property\'>" + } + member { + name: "reparameterization_type" + mtype: "<type \'property\'>" + } + member { + name: "scale" + mtype: "<type \'property\'>" + } + member { + name: "validate_args" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'loc\', \'scale\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'Normal\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], " + } + member_method { + name: "copy" + argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None" + } + member_method { + name: "covariance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], " + } + member_method { + name: "cross_entropy" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], " + } + member_method { + name: "entropy" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], " + } + member_method { + name: "event_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], " + } + member_method { + name: "is_scalar_batch" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], " + } + member_method { + name: "is_scalar_event" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], " + } + member_method { + name: "kl_divergence" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], " + } + member_method { + name: "log_cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], " + } + member_method { + name: "log_prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], " + } + member_method { + name: "log_survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], " + } + member_method { + name: "mean" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], " + } + member_method { + name: "mode" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], " + } + member_method { + name: "param_shapes" + argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], " + } + member_method { + name: "param_static_shapes" + argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], " + } + member_method { + name: "quantile" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], " + } + member_method { + name: "sample" + argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], " + } + member_method { + name: "stddev" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], " + } + member_method { + name: "survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], " + } + member_method { + name: "variance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-register-k-l.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-register-k-l.pbtxt new file mode 100644 index 0000000000..e3db443c2b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-register-k-l.pbtxt @@ -0,0 +1,9 @@ +path: "tensorflow.distributions.RegisterKL" +tf_class { + is_instance: "<class \'tensorflow.python.ops.distributions.kullback_leibler.RegisterKL\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dist_cls_a\', \'dist_cls_b\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-reparameterization-type.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-reparameterization-type.pbtxt new file mode 100644 index 0000000000..02e8d576dd --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-reparameterization-type.pbtxt @@ -0,0 +1,9 @@ +path: "tensorflow.distributions.ReparameterizationType" +tf_class { + is_instance: "<class \'tensorflow.python.ops.distributions.distribution.ReparameterizationType\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'rep_type\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-student-t.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-student-t.pbtxt new file mode 100644 index 0000000000..9aa7f9a634 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-student-t.pbtxt @@ -0,0 +1,147 @@ +path: "tensorflow.distributions.StudentT" +tf_class { + is_instance: "<class \'tensorflow.python.ops.distributions.student_t.StudentT\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>" + is_instance: "<type \'object\'>" + member { + name: "allow_nan_stats" + mtype: "<type \'property\'>" + } + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "df" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "event_shape" + mtype: "<type \'property\'>" + } + member { + name: "loc" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "parameters" + mtype: "<type \'property\'>" + } + member { + name: "reparameterization_type" + mtype: "<type \'property\'>" + } + member { + name: "scale" + mtype: "<type \'property\'>" + } + member { + name: "validate_args" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'df\', \'loc\', \'scale\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'StudentT\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], " + } + member_method { + name: "copy" + argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None" + } + member_method { + name: "covariance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], " + } + member_method { + name: "cross_entropy" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], " + } + member_method { + name: "entropy" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], " + } + member_method { + name: "event_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], " + } + member_method { + name: "is_scalar_batch" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], " + } + member_method { + name: "is_scalar_event" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], " + } + member_method { + name: "kl_divergence" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], " + } + member_method { + name: "log_cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], " + } + member_method { + name: "log_prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], " + } + member_method { + name: "log_survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], " + } + member_method { + name: "mean" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], " + } + member_method { + name: "mode" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], " + } + member_method { + name: "param_shapes" + argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], " + } + member_method { + name: "param_static_shapes" + argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], " + } + member_method { + name: "quantile" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], " + } + member_method { + name: "sample" + argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], " + } + member_method { + name: "stddev" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], " + } + member_method { + name: "survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], " + } + member_method { + name: "variance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-uniform.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-uniform.pbtxt new file mode 100644 index 0000000000..d1b9d30696 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-uniform.pbtxt @@ -0,0 +1,147 @@ +path: "tensorflow.distributions.Uniform" +tf_class { + is_instance: "<class \'tensorflow.python.ops.distributions.uniform.Uniform\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>" + is_instance: "<type \'object\'>" + member { + name: "allow_nan_stats" + mtype: "<type \'property\'>" + } + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "event_shape" + mtype: "<type \'property\'>" + } + member { + name: "high" + mtype: "<type \'property\'>" + } + member { + name: "low" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "parameters" + mtype: "<type \'property\'>" + } + member { + name: "reparameterization_type" + mtype: "<type \'property\'>" + } + member { + name: "validate_args" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'low\', \'high\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'False\', \'True\', \'Uniform\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], " + } + member_method { + name: "copy" + argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None" + } + member_method { + name: "covariance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], " + } + member_method { + name: "cross_entropy" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], " + } + member_method { + name: "entropy" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], " + } + member_method { + name: "event_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], " + } + member_method { + name: "is_scalar_batch" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], " + } + member_method { + name: "is_scalar_event" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], " + } + member_method { + name: "kl_divergence" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], " + } + member_method { + name: "log_cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], " + } + member_method { + name: "log_prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], " + } + member_method { + name: "log_survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], " + } + member_method { + name: "mean" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], " + } + member_method { + name: "mode" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], " + } + member_method { + name: "param_shapes" + argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], " + } + member_method { + name: "param_static_shapes" + argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], " + } + member_method { + name: "quantile" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], " + } + member_method { + name: "range" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range\'], " + } + member_method { + name: "sample" + argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], " + } + member_method { + name: "stddev" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], " + } + member_method { + name: "survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], " + } + member_method { + name: "variance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.pbtxt new file mode 100644 index 0000000000..90b60ef074 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.pbtxt @@ -0,0 +1,75 @@ +path: "tensorflow.distributions" +tf_module { + member { + name: "Bernoulli" + mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>" + } + member { + name: "Beta" + mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>" + } + member { + name: "Categorical" + mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>" + } + member { + name: "Dirichlet" + mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>" + } + member { + name: "DirichletMultinomial" + mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>" + } + member { + name: "Distribution" + mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>" + } + member { + name: "Exponential" + mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>" + } + member { + name: "FULLY_REPARAMETERIZED" + mtype: "<class \'tensorflow.python.ops.distributions.distribution.ReparameterizationType\'>" + } + member { + name: "Gamma" + mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>" + } + member { + name: "Laplace" + mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>" + } + member { + name: "Multinomial" + mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>" + } + member { + name: "NOT_REPARAMETERIZED" + mtype: "<class \'tensorflow.python.ops.distributions.distribution.ReparameterizationType\'>" + } + member { + name: "Normal" + mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>" + } + member { + name: "RegisterKL" + mtype: "<type \'type\'>" + } + member { + name: "ReparameterizationType" + mtype: "<type \'type\'>" + } + member { + name: "StudentT" + mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>" + } + member { + name: "Uniform" + mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>" + } + member_method { + name: "kl_divergence" + argspec: "args=[\'distribution_a\', \'distribution_b\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.dtypes.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.dtypes.pbtxt new file mode 100644 index 0000000000..98e1feed00 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.dtypes.pbtxt @@ -0,0 +1,7 @@ +path: "tensorflow.dtypes" +tf_module { + member_method { + name: "as_string" + argspec: "args=[\'input\', \'precision\', \'scientific\', \'shortest\', \'width\', \'fill\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'False\', \'False\', \'-1\', \'\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-aborted-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-aborted-error.pbtxt new file mode 100644 index 0000000000..ea9186b0b9 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-aborted-error.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.errors.AbortedError" +tf_class { + is_instance: "<class \'tensorflow.python.framework.errors_impl.AbortedError\'>" + is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>" + is_instance: "<type \'exceptions.Exception\'>" + member { + name: "args" + mtype: "<type \'getset_descriptor\'>" + } + member { + name: "error_code" + mtype: "<type \'property\'>" + } + member { + name: "message" + mtype: "<type \'property\'>" + } + member { + name: "node_def" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-already-exists-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-already-exists-error.pbtxt new file mode 100644 index 0000000000..4e155081dd --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-already-exists-error.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.errors.AlreadyExistsError" +tf_class { + is_instance: "<class \'tensorflow.python.framework.errors_impl.AlreadyExistsError\'>" + is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>" + is_instance: "<type \'exceptions.Exception\'>" + member { + name: "args" + mtype: "<type \'getset_descriptor\'>" + } + member { + name: "error_code" + mtype: "<type \'property\'>" + } + member { + name: "message" + mtype: "<type \'property\'>" + } + member { + name: "node_def" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-cancelled-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-cancelled-error.pbtxt new file mode 100644 index 0000000000..b02a0e023a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-cancelled-error.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.errors.CancelledError" +tf_class { + is_instance: "<class \'tensorflow.python.framework.errors_impl.CancelledError\'>" + is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>" + is_instance: "<type \'exceptions.Exception\'>" + member { + name: "args" + mtype: "<type \'getset_descriptor\'>" + } + member { + name: "error_code" + mtype: "<type \'property\'>" + } + member { + name: "message" + mtype: "<type \'property\'>" + } + member { + name: "node_def" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-data-loss-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-data-loss-error.pbtxt new file mode 100644 index 0000000000..c1fa66342a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-data-loss-error.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.errors.DataLossError" +tf_class { + is_instance: "<class \'tensorflow.python.framework.errors_impl.DataLossError\'>" + is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>" + is_instance: "<type \'exceptions.Exception\'>" + member { + name: "args" + mtype: "<type \'getset_descriptor\'>" + } + member { + name: "error_code" + mtype: "<type \'property\'>" + } + member { + name: "message" + mtype: "<type \'property\'>" + } + member { + name: "node_def" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-deadline-exceeded-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-deadline-exceeded-error.pbtxt new file mode 100644 index 0000000000..8e03793619 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-deadline-exceeded-error.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.errors.DeadlineExceededError" +tf_class { + is_instance: "<class \'tensorflow.python.framework.errors_impl.DeadlineExceededError\'>" + is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>" + is_instance: "<type \'exceptions.Exception\'>" + member { + name: "args" + mtype: "<type \'getset_descriptor\'>" + } + member { + name: "error_code" + mtype: "<type \'property\'>" + } + member { + name: "message" + mtype: "<type \'property\'>" + } + member { + name: "node_def" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-failed-precondition-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-failed-precondition-error.pbtxt new file mode 100644 index 0000000000..384d4b534c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-failed-precondition-error.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.errors.FailedPreconditionError" +tf_class { + is_instance: "<class \'tensorflow.python.framework.errors_impl.FailedPreconditionError\'>" + is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>" + is_instance: "<type \'exceptions.Exception\'>" + member { + name: "args" + mtype: "<type \'getset_descriptor\'>" + } + member { + name: "error_code" + mtype: "<type \'property\'>" + } + member { + name: "message" + mtype: "<type \'property\'>" + } + member { + name: "node_def" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-internal-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-internal-error.pbtxt new file mode 100644 index 0000000000..ac5c4d7879 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-internal-error.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.errors.InternalError" +tf_class { + is_instance: "<class \'tensorflow.python.framework.errors_impl.InternalError\'>" + is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>" + is_instance: "<type \'exceptions.Exception\'>" + member { + name: "args" + mtype: "<type \'getset_descriptor\'>" + } + member { + name: "error_code" + mtype: "<type \'property\'>" + } + member { + name: "message" + mtype: "<type \'property\'>" + } + member { + name: "node_def" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-invalid-argument-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-invalid-argument-error.pbtxt new file mode 100644 index 0000000000..161edd4a7c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-invalid-argument-error.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.errors.InvalidArgumentError" +tf_class { + is_instance: "<class \'tensorflow.python.framework.errors_impl.InvalidArgumentError\'>" + is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>" + is_instance: "<type \'exceptions.Exception\'>" + member { + name: "args" + mtype: "<type \'getset_descriptor\'>" + } + member { + name: "error_code" + mtype: "<type \'property\'>" + } + member { + name: "message" + mtype: "<type \'property\'>" + } + member { + name: "node_def" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-not-found-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-not-found-error.pbtxt new file mode 100644 index 0000000000..1e64730ac6 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-not-found-error.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.errors.NotFoundError" +tf_class { + is_instance: "<class \'tensorflow.python.framework.errors_impl.NotFoundError\'>" + is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>" + is_instance: "<type \'exceptions.Exception\'>" + member { + name: "args" + mtype: "<type \'getset_descriptor\'>" + } + member { + name: "error_code" + mtype: "<type \'property\'>" + } + member { + name: "message" + mtype: "<type \'property\'>" + } + member { + name: "node_def" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-op-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-op-error.pbtxt new file mode 100644 index 0000000000..b1f14c0457 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-op-error.pbtxt @@ -0,0 +1,29 @@ +path: "tensorflow.errors.OpError" +tf_class { + is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>" + is_instance: "<type \'exceptions.Exception\'>" + member { + name: "args" + mtype: "<type \'getset_descriptor\'>" + } + member { + name: "error_code" + mtype: "<type \'property\'>" + } + member { + name: "message" + mtype: "<type \'property\'>" + } + member { + name: "node_def" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'node_def\', \'op\', \'message\', \'error_code\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-out-of-range-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-out-of-range-error.pbtxt new file mode 100644 index 0000000000..6365e47286 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-out-of-range-error.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.errors.OutOfRangeError" +tf_class { + is_instance: "<class \'tensorflow.python.framework.errors_impl.OutOfRangeError\'>" + is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>" + is_instance: "<type \'exceptions.Exception\'>" + member { + name: "args" + mtype: "<type \'getset_descriptor\'>" + } + member { + name: "error_code" + mtype: "<type \'property\'>" + } + member { + name: "message" + mtype: "<type \'property\'>" + } + member { + name: "node_def" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-permission-denied-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-permission-denied-error.pbtxt new file mode 100644 index 0000000000..dc8a66f9ea --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-permission-denied-error.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.errors.PermissionDeniedError" +tf_class { + is_instance: "<class \'tensorflow.python.framework.errors_impl.PermissionDeniedError\'>" + is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>" + is_instance: "<type \'exceptions.Exception\'>" + member { + name: "args" + mtype: "<type \'getset_descriptor\'>" + } + member { + name: "error_code" + mtype: "<type \'property\'>" + } + member { + name: "message" + mtype: "<type \'property\'>" + } + member { + name: "node_def" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-resource-exhausted-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-resource-exhausted-error.pbtxt new file mode 100644 index 0000000000..85bb384b46 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-resource-exhausted-error.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.errors.ResourceExhaustedError" +tf_class { + is_instance: "<class \'tensorflow.python.framework.errors_impl.ResourceExhaustedError\'>" + is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>" + is_instance: "<type \'exceptions.Exception\'>" + member { + name: "args" + mtype: "<type \'getset_descriptor\'>" + } + member { + name: "error_code" + mtype: "<type \'property\'>" + } + member { + name: "message" + mtype: "<type \'property\'>" + } + member { + name: "node_def" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-unauthenticated-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-unauthenticated-error.pbtxt new file mode 100644 index 0000000000..d57d7ac2f2 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-unauthenticated-error.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.errors.UnauthenticatedError" +tf_class { + is_instance: "<class \'tensorflow.python.framework.errors_impl.UnauthenticatedError\'>" + is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>" + is_instance: "<type \'exceptions.Exception\'>" + member { + name: "args" + mtype: "<type \'getset_descriptor\'>" + } + member { + name: "error_code" + mtype: "<type \'property\'>" + } + member { + name: "message" + mtype: "<type \'property\'>" + } + member { + name: "node_def" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-unavailable-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-unavailable-error.pbtxt new file mode 100644 index 0000000000..cc33e6ed8d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-unavailable-error.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.errors.UnavailableError" +tf_class { + is_instance: "<class \'tensorflow.python.framework.errors_impl.UnavailableError\'>" + is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>" + is_instance: "<type \'exceptions.Exception\'>" + member { + name: "args" + mtype: "<type \'getset_descriptor\'>" + } + member { + name: "error_code" + mtype: "<type \'property\'>" + } + member { + name: "message" + mtype: "<type \'property\'>" + } + member { + name: "node_def" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-unimplemented-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-unimplemented-error.pbtxt new file mode 100644 index 0000000000..b8c2e22dbd --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-unimplemented-error.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.errors.UnimplementedError" +tf_class { + is_instance: "<class \'tensorflow.python.framework.errors_impl.UnimplementedError\'>" + is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>" + is_instance: "<type \'exceptions.Exception\'>" + member { + name: "args" + mtype: "<type \'getset_descriptor\'>" + } + member { + name: "error_code" + mtype: "<type \'property\'>" + } + member { + name: "message" + mtype: "<type \'property\'>" + } + member { + name: "node_def" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'node_def\', \'op\', \'message\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.-unknown-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.-unknown-error.pbtxt new file mode 100644 index 0000000000..8ffcfae95b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.-unknown-error.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.errors.UnknownError" +tf_class { + is_instance: "<class \'tensorflow.python.framework.errors_impl.UnknownError\'>" + is_instance: "<class \'tensorflow.python.framework.errors_impl.OpError\'>" + is_instance: "<type \'exceptions.Exception\'>" + member { + name: "args" + mtype: "<type \'getset_descriptor\'>" + } + member { + name: "error_code" + mtype: "<type \'property\'>" + } + member { + name: "message" + mtype: "<type \'property\'>" + } + member { + name: "node_def" + mtype: "<type \'property\'>" + } + member { + name: "op" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'node_def\', \'op\', \'message\', \'error_code\'], varargs=None, keywords=None, defaults=[\'2\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.pbtxt new file mode 100644 index 0000000000..c5fe49baab --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.pbtxt @@ -0,0 +1,151 @@ +path: "tensorflow.errors" +tf_module { + member { + name: "ABORTED" + mtype: "<type \'int\'>" + } + member { + name: "ALREADY_EXISTS" + mtype: "<type \'int\'>" + } + member { + name: "AbortedError" + mtype: "<type \'type\'>" + } + member { + name: "AlreadyExistsError" + mtype: "<type \'type\'>" + } + member { + name: "CANCELLED" + mtype: "<type \'int\'>" + } + member { + name: "CancelledError" + mtype: "<type \'type\'>" + } + member { + name: "DATA_LOSS" + mtype: "<type \'int\'>" + } + member { + name: "DEADLINE_EXCEEDED" + mtype: "<type \'int\'>" + } + member { + name: "DataLossError" + mtype: "<type \'type\'>" + } + member { + name: "DeadlineExceededError" + mtype: "<type \'type\'>" + } + member { + name: "FAILED_PRECONDITION" + mtype: "<type \'int\'>" + } + member { + name: "FailedPreconditionError" + mtype: "<type \'type\'>" + } + member { + name: "INTERNAL" + mtype: "<type \'int\'>" + } + member { + name: "INVALID_ARGUMENT" + mtype: "<type \'int\'>" + } + member { + name: "InternalError" + mtype: "<type \'type\'>" + } + member { + name: "InvalidArgumentError" + mtype: "<type \'type\'>" + } + member { + name: "NOT_FOUND" + mtype: "<type \'int\'>" + } + member { + name: "NotFoundError" + mtype: "<type \'type\'>" + } + member { + name: "OK" + mtype: "<type \'int\'>" + } + member { + name: "OUT_OF_RANGE" + mtype: "<type \'int\'>" + } + member { + name: "OpError" + mtype: "<type \'type\'>" + } + member { + name: "OutOfRangeError" + mtype: "<type \'type\'>" + } + member { + name: "PERMISSION_DENIED" + mtype: "<type \'int\'>" + } + member { + name: "PermissionDeniedError" + mtype: "<type \'type\'>" + } + member { + name: "RESOURCE_EXHAUSTED" + mtype: "<type \'int\'>" + } + member { + name: "ResourceExhaustedError" + mtype: "<type \'type\'>" + } + member { + name: "UNAUTHENTICATED" + mtype: "<type \'int\'>" + } + member { + name: "UNAVAILABLE" + mtype: "<type \'int\'>" + } + member { + name: "UNIMPLEMENTED" + mtype: "<type \'int\'>" + } + member { + name: "UNKNOWN" + mtype: "<type \'int\'>" + } + member { + name: "UnauthenticatedError" + mtype: "<type \'type\'>" + } + member { + name: "UnavailableError" + mtype: "<type \'type\'>" + } + member { + name: "UnimplementedError" + mtype: "<type \'type\'>" + } + member { + name: "UnknownError" + mtype: "<type \'type\'>" + } + member { + name: "raise_exception_on_not_ok_status" + mtype: "<type \'type\'>" + } + member_method { + name: "error_code_from_exception_type" + argspec: "args=[\'cls\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "exception_type_from_error_code" + argspec: "args=[\'error_code\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.errors.raise_exception_on_not_ok_status.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.errors.raise_exception_on_not_ok_status.pbtxt new file mode 100644 index 0000000000..5d25ec769a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.errors.raise_exception_on_not_ok_status.pbtxt @@ -0,0 +1,8 @@ +path: "tensorflow.errors.raise_exception_on_not_ok_status" +tf_class { + is_instance: "<class \'tensorflow.python.framework.errors_impl.raise_exception_on_not_ok_status\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-baseline-classifier.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-baseline-classifier.pbtxt new file mode 100644 index 0000000000..cf22e39d4c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-baseline-classifier.pbtxt @@ -0,0 +1,58 @@ +path: "tensorflow.estimator.BaselineClassifier" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.canned.baseline.BaselineClassifier\'>" + is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>" + is_instance: "<type \'object\'>" + member { + name: "config" + mtype: "<type \'property\'>" + } + member { + name: "model_dir" + mtype: "<type \'property\'>" + } + member { + name: "model_fn" + mtype: "<type \'property\'>" + } + member { + name: "params" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'optimizer\', \'config\', \'loss_reduction\'], varargs=None, keywords=None, defaults=[\'None\', \'2\', \'None\', \'None\', \'Ftrl\', \'None\', \'weighted_sum\'], " + } + member_method { + name: "eval_dir" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "export_savedmodel" + argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], " + } + member_method { + name: "get_variable_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_variable_value" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "latest_checkpoint" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], " + } + member_method { + name: "train" + argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-baseline-regressor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-baseline-regressor.pbtxt new file mode 100644 index 0000000000..a363bceae3 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-baseline-regressor.pbtxt @@ -0,0 +1,58 @@ +path: "tensorflow.estimator.BaselineRegressor" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.canned.baseline.BaselineRegressor\'>" + is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>" + is_instance: "<type \'object\'>" + member { + name: "config" + mtype: "<type \'property\'>" + } + member { + name: "model_dir" + mtype: "<type \'property\'>" + } + member { + name: "model_fn" + mtype: "<type \'property\'>" + } + member { + name: "params" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'model_dir\', \'label_dimension\', \'weight_column\', \'optimizer\', \'config\', \'loss_reduction\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'Ftrl\', \'None\', \'weighted_sum\'], " + } + member_method { + name: "eval_dir" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "export_savedmodel" + argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], " + } + member_method { + name: "get_variable_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_variable_value" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "latest_checkpoint" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], " + } + member_method { + name: "train" + argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-best-exporter.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-best-exporter.pbtxt new file mode 100644 index 0000000000..9694268199 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-best-exporter.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.estimator.BestExporter" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.exporter.BestExporter\'>" + is_instance: "<class \'tensorflow.python.estimator.exporter.Exporter\'>" + is_instance: "<type \'object\'>" + member { + name: "name" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'name\', \'serving_input_receiver_fn\', \'event_file_pattern\', \'compare_fn\', \'assets_extra\', \'as_text\', \'exports_to_keep\'], varargs=None, keywords=None, defaults=[\'best_exporter\', \'None\', \'eval/*.tfevents.*\', \'<function _loss_smaller instance>\', \'None\', \'False\', \'5\'], " + } + member_method { + name: "export" + argspec: "args=[\'self\', \'estimator\', \'export_path\', \'checkpoint_path\', \'eval_result\', \'is_the_final_export\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-boosted-trees-classifier.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-boosted-trees-classifier.pbtxt new file mode 100644 index 0000000000..9dbb5d16a4 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-boosted-trees-classifier.pbtxt @@ -0,0 +1,58 @@ +path: "tensorflow.estimator.BoostedTreesClassifier" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.canned.boosted_trees.BoostedTreesClassifier\'>" + is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>" + is_instance: "<type \'object\'>" + member { + name: "config" + mtype: "<type \'property\'>" + } + member { + name: "model_dir" + mtype: "<type \'property\'>" + } + member { + name: "model_fn" + mtype: "<type \'property\'>" + } + member { + name: "params" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\', \'center_bias\'], varargs=None, keywords=None, defaults=[\'None\', \'<object object instance>\', \'None\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'False\'], " + } + member_method { + name: "eval_dir" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "export_savedmodel" + argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], " + } + member_method { + name: "get_variable_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_variable_value" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "latest_checkpoint" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], " + } + member_method { + name: "train" + argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-boosted-trees-regressor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-boosted-trees-regressor.pbtxt new file mode 100644 index 0000000000..34a30c2874 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-boosted-trees-regressor.pbtxt @@ -0,0 +1,58 @@ +path: "tensorflow.estimator.BoostedTreesRegressor" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.canned.boosted_trees.BoostedTreesRegressor\'>" + is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>" + is_instance: "<type \'object\'>" + member { + name: "config" + mtype: "<type \'property\'>" + } + member { + name: "model_dir" + mtype: "<type \'property\'>" + } + member { + name: "model_fn" + mtype: "<type \'property\'>" + } + member { + name: "params" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'feature_columns\', \'n_batches_per_layer\', \'model_dir\', \'label_dimension\', \'weight_column\', \'n_trees\', \'max_depth\', \'learning_rate\', \'l1_regularization\', \'l2_regularization\', \'tree_complexity\', \'min_node_weight\', \'config\', \'center_bias\'], varargs=None, keywords=None, defaults=[\'None\', \'<object object instance>\', \'None\', \'100\', \'6\', \'0.1\', \'0.0\', \'0.0\', \'0.0\', \'0.0\', \'None\', \'False\'], " + } + member_method { + name: "eval_dir" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "export_savedmodel" + argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], " + } + member_method { + name: "get_variable_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_variable_value" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "latest_checkpoint" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], " + } + member_method { + name: "train" + argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-classifier.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-classifier.pbtxt new file mode 100644 index 0000000000..0c6b7e4a82 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-classifier.pbtxt @@ -0,0 +1,58 @@ +path: "tensorflow.estimator.DNNClassifier" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.canned.dnn.DNNClassifier\'>" + is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>" + is_instance: "<type \'object\'>" + member { + name: "config" + mtype: "<type \'property\'>" + } + member { + name: "model_dir" + mtype: "<type \'property\'>" + } + member { + name: "model_fn" + mtype: "<type \'property\'>" + } + member { + name: "params" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'hidden_units\', \'feature_columns\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'optimizer\', \'activation_fn\', \'dropout\', \'input_layer_partitioner\', \'config\', \'warm_start_from\', \'loss_reduction\', \'batch_norm\'], varargs=None, keywords=None, defaults=[\'None\', \'2\', \'None\', \'None\', \'Adagrad\', \'<function relu instance>\', \'None\', \'None\', \'None\', \'None\', \'weighted_sum\', \'False\'], " + } + member_method { + name: "eval_dir" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "export_savedmodel" + argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], " + } + member_method { + name: "get_variable_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_variable_value" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "latest_checkpoint" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], " + } + member_method { + name: "train" + argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-linear-combined-classifier.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-linear-combined-classifier.pbtxt new file mode 100644 index 0000000000..9c1c072124 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-linear-combined-classifier.pbtxt @@ -0,0 +1,58 @@ +path: "tensorflow.estimator.DNNLinearCombinedClassifier" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.canned.dnn_linear_combined.DNNLinearCombinedClassifier\'>" + is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>" + is_instance: "<type \'object\'>" + member { + name: "config" + mtype: "<type \'property\'>" + } + member { + name: "model_dir" + mtype: "<type \'property\'>" + } + member { + name: "model_fn" + mtype: "<type \'property\'>" + } + member { + name: "params" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'model_dir\', \'linear_feature_columns\', \'linear_optimizer\', \'dnn_feature_columns\', \'dnn_optimizer\', \'dnn_hidden_units\', \'dnn_activation_fn\', \'dnn_dropout\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'input_layer_partitioner\', \'config\', \'warm_start_from\', \'loss_reduction\', \'batch_norm\', \'linear_sparse_combiner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'Ftrl\', \'None\', \'Adagrad\', \'None\', \'<function relu instance>\', \'None\', \'2\', \'None\', \'None\', \'None\', \'None\', \'None\', \'weighted_sum\', \'False\', \'sum\'], " + } + member_method { + name: "eval_dir" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "export_savedmodel" + argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], " + } + member_method { + name: "get_variable_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_variable_value" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "latest_checkpoint" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], " + } + member_method { + name: "train" + argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-linear-combined-regressor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-linear-combined-regressor.pbtxt new file mode 100644 index 0000000000..7391d4b07a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-linear-combined-regressor.pbtxt @@ -0,0 +1,58 @@ +path: "tensorflow.estimator.DNNLinearCombinedRegressor" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.canned.dnn_linear_combined.DNNLinearCombinedRegressor\'>" + is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>" + is_instance: "<type \'object\'>" + member { + name: "config" + mtype: "<type \'property\'>" + } + member { + name: "model_dir" + mtype: "<type \'property\'>" + } + member { + name: "model_fn" + mtype: "<type \'property\'>" + } + member { + name: "params" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'model_dir\', \'linear_feature_columns\', \'linear_optimizer\', \'dnn_feature_columns\', \'dnn_optimizer\', \'dnn_hidden_units\', \'dnn_activation_fn\', \'dnn_dropout\', \'label_dimension\', \'weight_column\', \'input_layer_partitioner\', \'config\', \'warm_start_from\', \'loss_reduction\', \'batch_norm\', \'linear_sparse_combiner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'Ftrl\', \'None\', \'Adagrad\', \'None\', \'<function relu instance>\', \'None\', \'1\', \'None\', \'None\', \'None\', \'None\', \'weighted_sum\', \'False\', \'sum\'], " + } + member_method { + name: "eval_dir" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "export_savedmodel" + argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], " + } + member_method { + name: "get_variable_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_variable_value" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "latest_checkpoint" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], " + } + member_method { + name: "train" + argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-regressor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-regressor.pbtxt new file mode 100644 index 0000000000..f50e375f7c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-d-n-n-regressor.pbtxt @@ -0,0 +1,58 @@ +path: "tensorflow.estimator.DNNRegressor" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.canned.dnn.DNNRegressor\'>" + is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>" + is_instance: "<type \'object\'>" + member { + name: "config" + mtype: "<type \'property\'>" + } + member { + name: "model_dir" + mtype: "<type \'property\'>" + } + member { + name: "model_fn" + mtype: "<type \'property\'>" + } + member { + name: "params" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'hidden_units\', \'feature_columns\', \'model_dir\', \'label_dimension\', \'weight_column\', \'optimizer\', \'activation_fn\', \'dropout\', \'input_layer_partitioner\', \'config\', \'warm_start_from\', \'loss_reduction\', \'batch_norm\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'Adagrad\', \'<function relu instance>\', \'None\', \'None\', \'None\', \'None\', \'weighted_sum\', \'False\'], " + } + member_method { + name: "eval_dir" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "export_savedmodel" + argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], " + } + member_method { + name: "get_variable_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_variable_value" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "latest_checkpoint" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], " + } + member_method { + name: "train" + argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-estimator-spec.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-estimator-spec.pbtxt new file mode 100644 index 0000000000..aa6ac46613 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-estimator-spec.pbtxt @@ -0,0 +1,59 @@ +path: "tensorflow.estimator.EstimatorSpec" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.model_fn.EstimatorSpec\'>" + is_instance: "<class \'tensorflow.python.estimator.model_fn.EstimatorSpec\'>" + is_instance: "<type \'tuple\'>" + member { + name: "eval_metric_ops" + mtype: "<type \'property\'>" + } + member { + name: "evaluation_hooks" + mtype: "<type \'property\'>" + } + member { + name: "export_outputs" + mtype: "<type \'property\'>" + } + member { + name: "loss" + mtype: "<type \'property\'>" + } + member { + name: "mode" + mtype: "<type \'property\'>" + } + member { + name: "prediction_hooks" + mtype: "<type \'property\'>" + } + member { + name: "predictions" + mtype: "<type \'property\'>" + } + member { + name: "scaffold" + mtype: "<type \'property\'>" + } + member { + name: "train_op" + mtype: "<type \'property\'>" + } + member { + name: "training_chief_hooks" + mtype: "<type \'property\'>" + } + member { + name: "training_hooks" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + } + member_method { + name: "count" + } + member_method { + name: "index" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-estimator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-estimator.pbtxt new file mode 100644 index 0000000000..d72b576977 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-estimator.pbtxt @@ -0,0 +1,57 @@ +path: "tensorflow.estimator.Estimator" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>" + is_instance: "<type \'object\'>" + member { + name: "config" + mtype: "<type \'property\'>" + } + member { + name: "model_dir" + mtype: "<type \'property\'>" + } + member { + name: "model_fn" + mtype: "<type \'property\'>" + } + member { + name: "params" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'model_fn\', \'model_dir\', \'config\', \'params\', \'warm_start_from\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "eval_dir" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "export_savedmodel" + argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], " + } + member_method { + name: "get_variable_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_variable_value" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "latest_checkpoint" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], " + } + member_method { + name: "train" + argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-eval-spec.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-eval-spec.pbtxt new file mode 100644 index 0000000000..db83ba1bd8 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-eval-spec.pbtxt @@ -0,0 +1,43 @@ +path: "tensorflow.estimator.EvalSpec" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.training.EvalSpec\'>" + is_instance: "<class \'tensorflow.python.estimator.training.EvalSpec\'>" + is_instance: "<type \'tuple\'>" + member { + name: "exporters" + mtype: "<type \'property\'>" + } + member { + name: "hooks" + mtype: "<type \'property\'>" + } + member { + name: "input_fn" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "start_delay_secs" + mtype: "<type \'property\'>" + } + member { + name: "steps" + mtype: "<type \'property\'>" + } + member { + name: "throttle_secs" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + } + member_method { + name: "count" + } + member_method { + name: "index" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-exporter.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-exporter.pbtxt new file mode 100644 index 0000000000..035af70e52 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-exporter.pbtxt @@ -0,0 +1,16 @@ +path: "tensorflow.estimator.Exporter" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.exporter.Exporter\'>" + is_instance: "<type \'object\'>" + member { + name: "name" + mtype: "<class \'abc.abstractproperty\'>" + } + member_method { + name: "__init__" + } + member_method { + name: "export" + argspec: "args=[\'self\', \'estimator\', \'export_path\', \'checkpoint_path\', \'eval_result\', \'is_the_final_export\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-final-exporter.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-final-exporter.pbtxt new file mode 100644 index 0000000000..ee37b1fa21 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-final-exporter.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.estimator.FinalExporter" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.exporter.FinalExporter\'>" + is_instance: "<class \'tensorflow.python.estimator.exporter.Exporter\'>" + is_instance: "<type \'object\'>" + member { + name: "name" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'name\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], " + } + member_method { + name: "export" + argspec: "args=[\'self\', \'estimator\', \'export_path\', \'checkpoint_path\', \'eval_result\', \'is_the_final_export\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-latest-exporter.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-latest-exporter.pbtxt new file mode 100644 index 0000000000..2a9d029029 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-latest-exporter.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.estimator.LatestExporter" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.exporter.LatestExporter\'>" + is_instance: "<class \'tensorflow.python.estimator.exporter.Exporter\'>" + is_instance: "<type \'object\'>" + member { + name: "name" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'name\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'exports_to_keep\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'5\'], " + } + member_method { + name: "export" + argspec: "args=[\'self\', \'estimator\', \'export_path\', \'checkpoint_path\', \'eval_result\', \'is_the_final_export\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-linear-classifier.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-linear-classifier.pbtxt new file mode 100644 index 0000000000..154f171e89 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-linear-classifier.pbtxt @@ -0,0 +1,58 @@ +path: "tensorflow.estimator.LinearClassifier" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.canned.linear.LinearClassifier\'>" + is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>" + is_instance: "<type \'object\'>" + member { + name: "config" + mtype: "<type \'property\'>" + } + member { + name: "model_dir" + mtype: "<type \'property\'>" + } + member { + name: "model_fn" + mtype: "<type \'property\'>" + } + member { + name: "params" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'feature_columns\', \'model_dir\', \'n_classes\', \'weight_column\', \'label_vocabulary\', \'optimizer\', \'config\', \'partitioner\', \'warm_start_from\', \'loss_reduction\', \'sparse_combiner\'], varargs=None, keywords=None, defaults=[\'None\', \'2\', \'None\', \'None\', \'Ftrl\', \'None\', \'None\', \'None\', \'weighted_sum\', \'sum\'], " + } + member_method { + name: "eval_dir" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "export_savedmodel" + argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], " + } + member_method { + name: "get_variable_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_variable_value" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "latest_checkpoint" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], " + } + member_method { + name: "train" + argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-linear-regressor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-linear-regressor.pbtxt new file mode 100644 index 0000000000..4d46d1e6b6 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-linear-regressor.pbtxt @@ -0,0 +1,58 @@ +path: "tensorflow.estimator.LinearRegressor" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.canned.linear.LinearRegressor\'>" + is_instance: "<class \'tensorflow.python.estimator.estimator.Estimator\'>" + is_instance: "<type \'object\'>" + member { + name: "config" + mtype: "<type \'property\'>" + } + member { + name: "model_dir" + mtype: "<type \'property\'>" + } + member { + name: "model_fn" + mtype: "<type \'property\'>" + } + member { + name: "params" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'feature_columns\', \'model_dir\', \'label_dimension\', \'weight_column\', \'optimizer\', \'config\', \'partitioner\', \'warm_start_from\', \'loss_reduction\', \'sparse_combiner\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'Ftrl\', \'None\', \'None\', \'None\', \'weighted_sum\', \'sum\'], " + } + member_method { + name: "eval_dir" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'input_fn\', \'steps\', \'hooks\', \'checkpoint_path\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "export_savedmodel" + argspec: "args=[\'self\', \'export_dir_base\', \'serving_input_receiver_fn\', \'assets_extra\', \'as_text\', \'checkpoint_path\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\'], " + } + member_method { + name: "get_variable_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_variable_value" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "latest_checkpoint" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'input_fn\', \'predict_keys\', \'hooks\', \'checkpoint_path\', \'yield_single_examples\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], " + } + member_method { + name: "train" + argspec: "args=[\'self\', \'input_fn\', \'hooks\', \'steps\', \'max_steps\', \'saving_listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-mode-keys.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-mode-keys.pbtxt new file mode 100644 index 0000000000..6a1c24fa63 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-mode-keys.pbtxt @@ -0,0 +1,20 @@ +path: "tensorflow.estimator.ModeKeys" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.model_fn.ModeKeys\'>" + is_instance: "<type \'object\'>" + member { + name: "EVAL" + mtype: "<type \'str\'>" + } + member { + name: "PREDICT" + mtype: "<type \'str\'>" + } + member { + name: "TRAIN" + mtype: "<type \'str\'>" + } + member_method { + name: "__init__" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-run-config.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-run-config.pbtxt new file mode 100644 index 0000000000..5aa4b3d4fb --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-run-config.pbtxt @@ -0,0 +1,101 @@ +path: "tensorflow.estimator.RunConfig" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.run_config.RunConfig\'>" + is_instance: "<type \'object\'>" + member { + name: "cluster_spec" + mtype: "<type \'property\'>" + } + member { + name: "device_fn" + mtype: "<type \'property\'>" + } + member { + name: "evaluation_master" + mtype: "<type \'property\'>" + } + member { + name: "global_id_in_cluster" + mtype: "<type \'property\'>" + } + member { + name: "is_chief" + mtype: "<type \'property\'>" + } + member { + name: "keep_checkpoint_every_n_hours" + mtype: "<type \'property\'>" + } + member { + name: "keep_checkpoint_max" + mtype: "<type \'property\'>" + } + member { + name: "log_step_count_steps" + mtype: "<type \'property\'>" + } + member { + name: "master" + mtype: "<type \'property\'>" + } + member { + name: "model_dir" + mtype: "<type \'property\'>" + } + member { + name: "num_ps_replicas" + mtype: "<type \'property\'>" + } + member { + name: "num_worker_replicas" + mtype: "<type \'property\'>" + } + member { + name: "protocol" + mtype: "<type \'property\'>" + } + member { + name: "save_checkpoints_secs" + mtype: "<type \'property\'>" + } + member { + name: "save_checkpoints_steps" + mtype: "<type \'property\'>" + } + member { + name: "save_summary_steps" + mtype: "<type \'property\'>" + } + member { + name: "service" + mtype: "<type \'property\'>" + } + member { + name: "session_config" + mtype: "<type \'property\'>" + } + member { + name: "task_id" + mtype: "<type \'property\'>" + } + member { + name: "task_type" + mtype: "<type \'property\'>" + } + member { + name: "tf_random_seed" + mtype: "<type \'property\'>" + } + member { + name: "train_distribute" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'model_dir\', \'tf_random_seed\', \'save_summary_steps\', \'save_checkpoints_steps\', \'save_checkpoints_secs\', \'session_config\', \'keep_checkpoint_max\', \'keep_checkpoint_every_n_hours\', \'log_step_count_steps\', \'train_distribute\', \'device_fn\', \'protocol\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'100\', \'<object object instance>\', \'<object object instance>\', \'None\', \'5\', \'10000\', \'100\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "replace" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-train-spec.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-train-spec.pbtxt new file mode 100644 index 0000000000..7d2f77438a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-train-spec.pbtxt @@ -0,0 +1,27 @@ +path: "tensorflow.estimator.TrainSpec" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.training.TrainSpec\'>" + is_instance: "<class \'tensorflow.python.estimator.training.TrainSpec\'>" + is_instance: "<type \'tuple\'>" + member { + name: "hooks" + mtype: "<type \'property\'>" + } + member { + name: "input_fn" + mtype: "<type \'property\'>" + } + member { + name: "max_steps" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + } + member_method { + name: "count" + } + member_method { + name: "index" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-vocab-info.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-vocab-info.pbtxt new file mode 100644 index 0000000000..5301b94eb3 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-vocab-info.pbtxt @@ -0,0 +1,39 @@ +path: "tensorflow.estimator.VocabInfo" +tf_class { + is_instance: "<class \'tensorflow.python.training.warm_starting_util.VocabInfo\'>" + is_instance: "<class \'tensorflow.python.training.warm_starting_util.VocabInfo\'>" + is_instance: "<type \'tuple\'>" + member { + name: "backup_initializer" + mtype: "<type \'property\'>" + } + member { + name: "new_vocab" + mtype: "<type \'property\'>" + } + member { + name: "new_vocab_size" + mtype: "<type \'property\'>" + } + member { + name: "num_oov_buckets" + mtype: "<type \'property\'>" + } + member { + name: "old_vocab" + mtype: "<type \'property\'>" + } + member { + name: "old_vocab_size" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + } + member_method { + name: "count" + } + member_method { + name: "index" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.-warm-start-settings.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-warm-start-settings.pbtxt new file mode 100644 index 0000000000..43f5343359 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.-warm-start-settings.pbtxt @@ -0,0 +1,31 @@ +path: "tensorflow.estimator.WarmStartSettings" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.estimator.WarmStartSettings\'>" + is_instance: "<class \'tensorflow.python.estimator.estimator.WarmStartSettings\'>" + is_instance: "<type \'tuple\'>" + member { + name: "ckpt_to_initialize_from" + mtype: "<type \'property\'>" + } + member { + name: "var_name_to_prev_var_name" + mtype: "<type \'property\'>" + } + member { + name: "var_name_to_vocab_info" + mtype: "<type \'property\'>" + } + member { + name: "vars_to_warm_start" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + } + member_method { + name: "count" + } + member_method { + name: "index" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-classification-output.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-classification-output.__metaclass__.pbtxt new file mode 100644 index 0000000000..3cf7af8da9 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-classification-output.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.estimator.export.ClassificationOutput.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-classification-output.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-classification-output.pbtxt new file mode 100644 index 0000000000..2df1840c4a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-classification-output.pbtxt @@ -0,0 +1,22 @@ +path: "tensorflow.estimator.export.ClassificationOutput" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.export.export_output.ClassificationOutput\'>" + is_instance: "<class \'tensorflow.python.estimator.export.export_output.ExportOutput\'>" + is_instance: "<type \'object\'>" + member { + name: "classes" + mtype: "<type \'property\'>" + } + member { + name: "scores" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'scores\', \'classes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "as_signature_def" + argspec: "args=[\'self\', \'receiver_tensors\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-export-output.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-export-output.__metaclass__.pbtxt new file mode 100644 index 0000000000..5d165ccbf9 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-export-output.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.estimator.export.ExportOutput.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-export-output.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-export-output.pbtxt new file mode 100644 index 0000000000..fa62e8ced8 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-export-output.pbtxt @@ -0,0 +1,12 @@ +path: "tensorflow.estimator.export.ExportOutput" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.export.export_output.ExportOutput\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + } + member_method { + name: "as_signature_def" + argspec: "args=[\'self\', \'receiver_tensors\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-predict-output.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-predict-output.__metaclass__.pbtxt new file mode 100644 index 0000000000..743495ba98 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-predict-output.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.estimator.export.PredictOutput.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-predict-output.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-predict-output.pbtxt new file mode 100644 index 0000000000..e0160b10ce --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-predict-output.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.estimator.export.PredictOutput" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.export.export_output.PredictOutput\'>" + is_instance: "<class \'tensorflow.python.estimator.export.export_output.ExportOutput\'>" + is_instance: "<type \'object\'>" + member { + name: "outputs" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'outputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "as_signature_def" + argspec: "args=[\'self\', \'receiver_tensors\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-regression-output.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-regression-output.__metaclass__.pbtxt new file mode 100644 index 0000000000..dbf4e3dec8 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-regression-output.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.estimator.export.RegressionOutput.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-regression-output.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-regression-output.pbtxt new file mode 100644 index 0000000000..905f0e0553 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-regression-output.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.estimator.export.RegressionOutput" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.export.export_output.RegressionOutput\'>" + is_instance: "<class \'tensorflow.python.estimator.export.export_output.ExportOutput\'>" + is_instance: "<type \'object\'>" + member { + name: "value" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'value\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "as_signature_def" + argspec: "args=[\'self\', \'receiver_tensors\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-serving-input-receiver.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-serving-input-receiver.pbtxt new file mode 100644 index 0000000000..d71b2a4300 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-serving-input-receiver.pbtxt @@ -0,0 +1,27 @@ +path: "tensorflow.estimator.export.ServingInputReceiver" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.export.export.ServingInputReceiver\'>" + is_instance: "<class \'tensorflow.python.estimator.export.export.ServingInputReceiver\'>" + is_instance: "<type \'tuple\'>" + member { + name: "features" + mtype: "<type \'property\'>" + } + member { + name: "receiver_tensors" + mtype: "<type \'property\'>" + } + member { + name: "receiver_tensors_alternatives" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + } + member_method { + name: "count" + } + member_method { + name: "index" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-tensor-serving-input-receiver.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-tensor-serving-input-receiver.pbtxt new file mode 100644 index 0000000000..4fe92643bf --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.-tensor-serving-input-receiver.pbtxt @@ -0,0 +1,27 @@ +path: "tensorflow.estimator.export.TensorServingInputReceiver" +tf_class { + is_instance: "<class \'tensorflow.python.estimator.export.export.TensorServingInputReceiver\'>" + is_instance: "<class \'tensorflow.python.estimator.export.export.TensorServingInputReceiver\'>" + is_instance: "<type \'tuple\'>" + member { + name: "features" + mtype: "<type \'property\'>" + } + member { + name: "receiver_tensors" + mtype: "<type \'property\'>" + } + member { + name: "receiver_tensors_alternatives" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + } + member_method { + name: "count" + } + member_method { + name: "index" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.pbtxt new file mode 100644 index 0000000000..bd72f6cd79 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.export.pbtxt @@ -0,0 +1,35 @@ +path: "tensorflow.estimator.export" +tf_module { + member { + name: "ClassificationOutput" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "ExportOutput" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "PredictOutput" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "RegressionOutput" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "ServingInputReceiver" + mtype: "<type \'type\'>" + } + member { + name: "TensorServingInputReceiver" + mtype: "<type \'type\'>" + } + member_method { + name: "build_parsing_serving_input_receiver_fn" + argspec: "args=[\'feature_spec\', \'default_batch_size\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "build_raw_serving_input_receiver_fn" + argspec: "args=[\'features\', \'default_batch_size\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.inputs.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.inputs.pbtxt new file mode 100644 index 0000000000..b318fea1f8 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.inputs.pbtxt @@ -0,0 +1,11 @@ +path: "tensorflow.estimator.inputs" +tf_module { + member_method { + name: "numpy_input_fn" + argspec: "args=[\'x\', \'y\', \'batch_size\', \'num_epochs\', \'shuffle\', \'queue_capacity\', \'num_threads\'], varargs=None, keywords=None, defaults=[\'None\', \'128\', \'1\', \'None\', \'1000\', \'1\'], " + } + member_method { + name: "pandas_input_fn" + argspec: "args=[\'x\', \'y\', \'batch_size\', \'num_epochs\', \'shuffle\', \'queue_capacity\', \'num_threads\', \'target_column\'], varargs=None, keywords=None, defaults=[\'None\', \'128\', \'1\', \'None\', \'1000\', \'1\', \'target\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.estimator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.estimator.pbtxt new file mode 100644 index 0000000000..f1d204a3ef --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.estimator.pbtxt @@ -0,0 +1,111 @@ +path: "tensorflow.estimator" +tf_module { + member { + name: "BaselineClassifier" + mtype: "<type \'type\'>" + } + member { + name: "BaselineRegressor" + mtype: "<type \'type\'>" + } + member { + name: "BestExporter" + mtype: "<type \'type\'>" + } + member { + name: "BoostedTreesClassifier" + mtype: "<type \'type\'>" + } + member { + name: "BoostedTreesRegressor" + mtype: "<type \'type\'>" + } + member { + name: "DNNClassifier" + mtype: "<type \'type\'>" + } + member { + name: "DNNLinearCombinedClassifier" + mtype: "<type \'type\'>" + } + member { + name: "DNNLinearCombinedRegressor" + mtype: "<type \'type\'>" + } + member { + name: "DNNRegressor" + mtype: "<type \'type\'>" + } + member { + name: "Estimator" + mtype: "<type \'type\'>" + } + member { + name: "EstimatorSpec" + mtype: "<type \'type\'>" + } + member { + name: "EvalSpec" + mtype: "<type \'type\'>" + } + member { + name: "Exporter" + mtype: "<type \'type\'>" + } + member { + name: "FinalExporter" + mtype: "<type \'type\'>" + } + member { + name: "LatestExporter" + mtype: "<type \'type\'>" + } + member { + name: "LinearClassifier" + mtype: "<type \'type\'>" + } + member { + name: "LinearRegressor" + mtype: "<type \'type\'>" + } + member { + name: "ModeKeys" + mtype: "<type \'type\'>" + } + member { + name: "RunConfig" + mtype: "<type \'type\'>" + } + member { + name: "TrainSpec" + mtype: "<type \'type\'>" + } + member { + name: "VocabInfo" + mtype: "<type \'type\'>" + } + member { + name: "WarmStartSettings" + mtype: "<type \'type\'>" + } + member { + name: "export" + mtype: "<type \'module\'>" + } + member { + name: "inputs" + mtype: "<type \'module\'>" + } + member_method { + name: "classifier_parse_example_spec" + argspec: "args=[\'feature_columns\', \'label_key\', \'label_dtype\', \'label_default\', \'weight_column\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int64\'>\", \'None\', \'None\'], " + } + member_method { + name: "regressor_parse_example_spec" + argspec: "args=[\'feature_columns\', \'label_key\', \'label_dtype\', \'label_default\', \'label_dimension\', \'weight_column\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\', \'1\', \'None\'], " + } + member_method { + name: "train_and_evaluate" + argspec: "args=[\'estimator\', \'train_spec\', \'eval_spec\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.feature_column.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.feature_column.pbtxt new file mode 100644 index 0000000000..24a58fb118 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.feature_column.pbtxt @@ -0,0 +1,59 @@ +path: "tensorflow.feature_column" +tf_module { + member_method { + name: "bucketized_column" + argspec: "args=[\'source_column\', \'boundaries\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "categorical_column_with_hash_bucket" + argspec: "args=[\'key\', \'hash_bucket_size\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'string\'>\"], " + } + member_method { + name: "categorical_column_with_identity" + argspec: "args=[\'key\', \'num_buckets\', \'default_value\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "categorical_column_with_vocabulary_file" + argspec: "args=[\'key\', \'vocabulary_file\', \'vocabulary_size\', \'num_oov_buckets\', \'default_value\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\', \"<dtype: \'string\'>\"], " + } + member_method { + name: "categorical_column_with_vocabulary_list" + argspec: "args=[\'key\', \'vocabulary_list\', \'dtype\', \'default_value\', \'num_oov_buckets\'], varargs=None, keywords=None, defaults=[\'None\', \'-1\', \'0\'], " + } + member_method { + name: "crossed_column" + argspec: "args=[\'keys\', \'hash_bucket_size\', \'hash_key\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "embedding_column" + argspec: "args=[\'categorical_column\', \'dimension\', \'combiner\', \'initializer\', \'ckpt_to_load_from\', \'tensor_name_in_ckpt\', \'max_norm\', \'trainable\'], varargs=None, keywords=None, defaults=[\'mean\', \'None\', \'None\', \'None\', \'None\', \'True\'], " + } + member_method { + name: "indicator_column" + argspec: "args=[\'categorical_column\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "input_layer" + argspec: "args=[\'features\', \'feature_columns\', \'weight_collections\', \'trainable\', \'cols_to_vars\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'None\'], " + } + member_method { + name: "linear_model" + argspec: "args=[\'features\', \'feature_columns\', \'units\', \'sparse_combiner\', \'weight_collections\', \'trainable\', \'cols_to_vars\'], varargs=None, keywords=None, defaults=[\'1\', \'sum\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "make_parse_example_spec" + argspec: "args=[\'feature_columns\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "numeric_column" + argspec: "args=[\'key\', \'shape\', \'default_value\', \'dtype\', \'normalizer_fn\'], varargs=None, keywords=None, defaults=[\'(1,)\', \'None\', \"<dtype: \'float32\'>\", \'None\'], " + } + member_method { + name: "shared_embedding_columns" + argspec: "args=[\'categorical_columns\', \'dimension\', \'combiner\', \'initializer\', \'shared_embedding_collection_name\', \'ckpt_to_load_from\', \'tensor_name_in_ckpt\', \'max_norm\', \'trainable\'], varargs=None, keywords=None, defaults=[\'mean\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\'], " + } + member_method { + name: "weighted_categorical_column" + argspec: "args=[\'categorical_column\', \'weight_feature_key\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\"], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.gfile.-fast-g-file.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.gfile.-fast-g-file.pbtxt new file mode 100644 index 0000000000..eecfaffd0a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.gfile.-fast-g-file.pbtxt @@ -0,0 +1,58 @@ +path: "tensorflow.gfile.FastGFile" +tf_class { + is_instance: "<class \'tensorflow.python.platform.gfile.FastGFile\'>" + is_instance: "<class \'tensorflow.python.lib.io.file_io.FileIO\'>" + is_instance: "<type \'object\'>" + member { + name: "mode" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'name\', \'mode\'], varargs=None, keywords=None, defaults=[\'r\'], " + } + member_method { + name: "close" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "flush" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "next" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "read" + argspec: "args=[\'self\', \'n\'], varargs=None, keywords=None, defaults=[\'-1\'], " + } + member_method { + name: "readline" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "readlines" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "seek" + argspec: "args=[\'self\', \'offset\', \'whence\', \'position\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], " + } + member_method { + name: "size" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "tell" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "write" + argspec: "args=[\'self\', \'file_content\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.gfile.-g-file.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.gfile.-g-file.pbtxt new file mode 100644 index 0000000000..305251059d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.gfile.-g-file.pbtxt @@ -0,0 +1,58 @@ +path: "tensorflow.gfile.GFile" +tf_class { + is_instance: "<class \'tensorflow.python.platform.gfile.GFile\'>" + is_instance: "<class \'tensorflow.python.lib.io.file_io.FileIO\'>" + is_instance: "<type \'object\'>" + member { + name: "mode" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'name\', \'mode\'], varargs=None, keywords=None, defaults=[\'r\'], " + } + member_method { + name: "close" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "flush" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "next" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "read" + argspec: "args=[\'self\', \'n\'], varargs=None, keywords=None, defaults=[\'-1\'], " + } + member_method { + name: "readline" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "readlines" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "seek" + argspec: "args=[\'self\', \'offset\', \'whence\', \'position\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], " + } + member_method { + name: "size" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "tell" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "write" + argspec: "args=[\'self\', \'file_content\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.gfile.-open.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.gfile.-open.pbtxt new file mode 100644 index 0000000000..6e8894180a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.gfile.-open.pbtxt @@ -0,0 +1,58 @@ +path: "tensorflow.gfile.Open" +tf_class { + is_instance: "<class \'tensorflow.python.platform.gfile.GFile\'>" + is_instance: "<class \'tensorflow.python.lib.io.file_io.FileIO\'>" + is_instance: "<type \'object\'>" + member { + name: "mode" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'name\', \'mode\'], varargs=None, keywords=None, defaults=[\'r\'], " + } + member_method { + name: "close" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "flush" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "next" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "read" + argspec: "args=[\'self\', \'n\'], varargs=None, keywords=None, defaults=[\'-1\'], " + } + member_method { + name: "readline" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "readlines" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "seek" + argspec: "args=[\'self\', \'offset\', \'whence\', \'position\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], " + } + member_method { + name: "size" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "tell" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "write" + argspec: "args=[\'self\', \'file_content\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.gfile.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.gfile.pbtxt new file mode 100644 index 0000000000..65b55a8b7c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.gfile.pbtxt @@ -0,0 +1,63 @@ +path: "tensorflow.gfile" +tf_module { + member { + name: "FastGFile" + mtype: "<type \'type\'>" + } + member { + name: "GFile" + mtype: "<type \'type\'>" + } + member { + name: "Open" + mtype: "<type \'type\'>" + } + member_method { + name: "Copy" + argspec: "args=[\'oldpath\', \'newpath\', \'overwrite\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "DeleteRecursively" + argspec: "args=[\'dirname\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "Exists" + argspec: "args=[\'filename\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "Glob" + argspec: "args=[\'filename\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "IsDirectory" + argspec: "args=[\'dirname\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "ListDirectory" + argspec: "args=[\'dirname\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "MakeDirs" + argspec: "args=[\'dirname\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "MkDir" + argspec: "args=[\'dirname\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "Remove" + argspec: "args=[\'filename\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "Rename" + argspec: "args=[\'oldname\', \'newname\', \'overwrite\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "Stat" + argspec: "args=[\'filename\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "Walk" + argspec: "args=[\'top\', \'in_order\'], varargs=None, keywords=None, defaults=[\'True\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.graph_util.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.graph_util.pbtxt new file mode 100644 index 0000000000..eeabf845dc --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.graph_util.pbtxt @@ -0,0 +1,23 @@ +path: "tensorflow.graph_util" +tf_module { + member_method { + name: "convert_variables_to_constants" + argspec: "args=[\'sess\', \'input_graph_def\', \'output_node_names\', \'variable_names_whitelist\', \'variable_names_blacklist\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "extract_sub_graph" + argspec: "args=[\'graph_def\', \'dest_nodes\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "must_run_on_cpu" + argspec: "args=[\'node\', \'pin_variables_on_cpu\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "remove_training_nodes" + argspec: "args=[\'input_graph\', \'protected_nodes\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "tensor_shape_from_node_def_name" + argspec: "args=[\'graph\', \'input_name\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.image.-resize-method.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.image.-resize-method.pbtxt new file mode 100644 index 0000000000..dbc360b13e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.image.-resize-method.pbtxt @@ -0,0 +1,24 @@ +path: "tensorflow.image.ResizeMethod" +tf_class { + is_instance: "<class \'tensorflow.python.ops.image_ops_impl.ResizeMethod\'>" + is_instance: "<type \'object\'>" + member { + name: "AREA" + mtype: "<type \'int\'>" + } + member { + name: "BICUBIC" + mtype: "<type \'int\'>" + } + member { + name: "BILINEAR" + mtype: "<type \'int\'>" + } + member { + name: "NEAREST_NEIGHBOR" + mtype: "<type \'int\'>" + } + member_method { + name: "__init__" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.image.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.image.pbtxt new file mode 100644 index 0000000000..6ec3aba775 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.image.pbtxt @@ -0,0 +1,247 @@ +path: "tensorflow.image" +tf_module { + member { + name: "ResizeMethod" + mtype: "<type \'type\'>" + } + member_method { + name: "adjust_brightness" + argspec: "args=[\'image\', \'delta\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "adjust_contrast" + argspec: "args=[\'images\', \'contrast_factor\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "adjust_gamma" + argspec: "args=[\'image\', \'gamma\', \'gain\'], varargs=None, keywords=None, defaults=[\'1\', \'1\'], " + } + member_method { + name: "adjust_hue" + argspec: "args=[\'image\', \'delta\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "adjust_jpeg_quality" + argspec: "args=[\'image\', \'jpeg_quality\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "adjust_saturation" + argspec: "args=[\'image\', \'saturation_factor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "central_crop" + argspec: "args=[\'image\', \'central_fraction\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "convert_image_dtype" + argspec: "args=[\'image\', \'dtype\', \'saturate\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "crop_and_resize" + argspec: "args=[\'image\', \'boxes\', \'box_ind\', \'crop_size\', \'method\', \'extrapolation_value\', \'name\'], varargs=None, keywords=None, defaults=[\'bilinear\', \'0\', \'None\'], " + } + member_method { + name: "crop_to_bounding_box" + argspec: "args=[\'image\', \'offset_height\', \'offset_width\', \'target_height\', \'target_width\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "decode_and_crop_jpeg" + argspec: "args=[\'contents\', \'crop_window\', \'channels\', \'ratio\', \'fancy_upscaling\', \'try_recover_truncated\', \'acceptable_fraction\', \'dct_method\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'1\', \'True\', \'False\', \'1\', \'\', \'None\'], " + } + member_method { + name: "decode_bmp" + argspec: "args=[\'contents\', \'channels\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], " + } + member_method { + name: "decode_gif" + argspec: "args=[\'contents\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "decode_image" + argspec: "args=[\'contents\', \'channels\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'uint8\'>\", \'None\'], " + } + member_method { + name: "decode_jpeg" + argspec: "args=[\'contents\', \'channels\', \'ratio\', \'fancy_upscaling\', \'try_recover_truncated\', \'acceptable_fraction\', \'dct_method\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'1\', \'True\', \'False\', \'1\', \'\', \'None\'], " + } + member_method { + name: "decode_png" + argspec: "args=[\'contents\', \'channels\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \"<dtype: \'uint8\'>\", \'None\'], " + } + member_method { + name: "draw_bounding_boxes" + argspec: "args=[\'images\', \'boxes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "encode_jpeg" + argspec: "args=[\'image\', \'format\', \'quality\', \'progressive\', \'optimize_size\', \'chroma_downsampling\', \'density_unit\', \'x_density\', \'y_density\', \'xmp_metadata\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'95\', \'False\', \'False\', \'True\', \'in\', \'300\', \'300\', \'\', \'None\'], " + } + member_method { + name: "encode_png" + argspec: "args=[\'image\', \'compression\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'None\'], " + } + member_method { + name: "extract_glimpse" + argspec: "args=[\'input\', \'size\', \'offsets\', \'centered\', \'normalized\', \'uniform_noise\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'True\', \'True\', \'None\'], " + } + member_method { + name: "extract_image_patches" + argspec: "args=[\'images\', \'ksizes\', \'strides\', \'rates\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "extract_jpeg_shape" + argspec: "args=[\'contents\', \'output_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], " + } + member_method { + name: "flip_left_right" + argspec: "args=[\'image\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "flip_up_down" + argspec: "args=[\'image\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "grayscale_to_rgb" + argspec: "args=[\'images\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "hsv_to_rgb" + argspec: "args=[\'images\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "image_gradients" + argspec: "args=[\'image\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "is_jpeg" + argspec: "args=[\'contents\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "non_max_suppression" + argspec: "args=[\'boxes\', \'scores\', \'max_output_size\', \'iou_threshold\', \'score_threshold\', \'name\'], varargs=None, keywords=None, defaults=[\'0.5\', \'-inf\', \'None\'], " + } + member_method { + name: "non_max_suppression_overlaps" + argspec: "args=[\'overlaps\', \'scores\', \'max_output_size\', \'overlap_threshold\', \'score_threshold\', \'name\'], varargs=None, keywords=None, defaults=[\'0.5\', \'-inf\', \'None\'], " + } + member_method { + name: "pad_to_bounding_box" + argspec: "args=[\'image\', \'offset_height\', \'offset_width\', \'target_height\', \'target_width\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "per_image_standardization" + argspec: "args=[\'image\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "psnr" + argspec: "args=[\'a\', \'b\', \'max_val\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "random_brightness" + argspec: "args=[\'image\', \'max_delta\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "random_contrast" + argspec: "args=[\'image\', \'lower\', \'upper\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "random_flip_left_right" + argspec: "args=[\'image\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "random_flip_up_down" + argspec: "args=[\'image\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "random_hue" + argspec: "args=[\'image\', \'max_delta\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "random_jpeg_quality" + argspec: "args=[\'image\', \'min_jpeg_quality\', \'max_jpeg_quality\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "random_saturation" + argspec: "args=[\'image\', \'lower\', \'upper\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "resize_area" + argspec: "args=[\'images\', \'size\', \'align_corners\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "resize_bicubic" + argspec: "args=[\'images\', \'size\', \'align_corners\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "resize_bilinear" + argspec: "args=[\'images\', \'size\', \'align_corners\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "resize_image_with_crop_or_pad" + argspec: "args=[\'image\', \'target_height\', \'target_width\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "resize_image_with_pad" + argspec: "args=[\'image\', \'target_height\', \'target_width\', \'method\'], varargs=None, keywords=None, defaults=[\'0\'], " + } + member_method { + name: "resize_images" + argspec: "args=[\'images\', \'size\', \'method\', \'align_corners\', \'preserve_aspect_ratio\'], varargs=None, keywords=None, defaults=[\'0\', \'False\', \'False\'], " + } + member_method { + name: "resize_nearest_neighbor" + argspec: "args=[\'images\', \'size\', \'align_corners\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "rgb_to_grayscale" + argspec: "args=[\'images\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "rgb_to_hsv" + argspec: "args=[\'images\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "rgb_to_yiq" + argspec: "args=[\'images\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "rgb_to_yuv" + argspec: "args=[\'images\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "rot90" + argspec: "args=[\'image\', \'k\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'None\'], " + } + member_method { + name: "sample_distorted_bounding_box" + argspec: "args=[\'image_size\', \'bounding_boxes\', \'seed\', \'seed2\', \'min_object_covered\', \'aspect_ratio_range\', \'area_range\', \'max_attempts\', \'use_image_if_no_bounding_boxes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'0.1\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "sobel_edges" + argspec: "args=[\'image\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "ssim" + argspec: "args=[\'img1\', \'img2\', \'max_val\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "ssim_multiscale" + argspec: "args=[\'img1\', \'img2\', \'max_val\', \'power_factors\'], varargs=None, keywords=None, defaults=[\'(0.0448, 0.2856, 0.3001, 0.2363, 0.1333)\'], " + } + member_method { + name: "total_variation" + argspec: "args=[\'images\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "transpose_image" + argspec: "args=[\'image\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "yiq_to_rgb" + argspec: "args=[\'images\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "yuv_to_rgb" + argspec: "args=[\'images\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.constant.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.constant.pbtxt new file mode 100644 index 0000000000..607a5aae21 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.constant.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.initializers.constant" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.Constant\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'value\', \'dtype\', \'verify_shape\'], varargs=None, keywords=None, defaults=[\'0\', \"<dtype: \'float32\'>\", \'False\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.identity.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.identity.pbtxt new file mode 100644 index 0000000000..37fcab9599 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.identity.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.initializers.identity" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.Identity\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'gain\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.ones.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.ones.pbtxt new file mode 100644 index 0000000000..18481d4815 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.ones.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.initializers.ones" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.Ones\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.orthogonal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.orthogonal.pbtxt new file mode 100644 index 0000000000..ff64efd60c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.orthogonal.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.initializers.orthogonal" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.Orthogonal\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'gain\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.pbtxt new file mode 100644 index 0000000000..bc0426f2f1 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.pbtxt @@ -0,0 +1,79 @@ +path: "tensorflow.initializers" +tf_module { + member { + name: "constant" + mtype: "<type \'type\'>" + } + member { + name: "identity" + mtype: "<type \'type\'>" + } + member { + name: "ones" + mtype: "<type \'type\'>" + } + member { + name: "orthogonal" + mtype: "<type \'type\'>" + } + member { + name: "random_normal" + mtype: "<type \'type\'>" + } + member { + name: "random_uniform" + mtype: "<type \'type\'>" + } + member { + name: "truncated_normal" + mtype: "<type \'type\'>" + } + member { + name: "uniform_unit_scaling" + mtype: "<type \'type\'>" + } + member { + name: "variance_scaling" + mtype: "<type \'type\'>" + } + member { + name: "zeros" + mtype: "<type \'type\'>" + } + member_method { + name: "global_variables" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "glorot_normal" + argspec: "args=[\'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "glorot_uniform" + argspec: "args=[\'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "he_normal" + argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "he_uniform" + argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "lecun_normal" + argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "lecun_uniform" + argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "local_variables" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "variables" + argspec: "args=[\'var_list\', \'name\'], varargs=None, keywords=None, defaults=[\'init\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.random_normal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.random_normal.pbtxt new file mode 100644 index 0000000000..133e61c1d9 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.random_normal.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.initializers.random_normal" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.RandomNormal\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.random_uniform.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.random_uniform.pbtxt new file mode 100644 index 0000000000..0cfa0080f5 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.random_uniform.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.initializers.random_uniform" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.RandomUniform\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'minval\', \'maxval\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.truncated_normal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.truncated_normal.pbtxt new file mode 100644 index 0000000000..730390fba2 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.truncated_normal.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.initializers.truncated_normal" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.TruncatedNormal\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.uniform_unit_scaling.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.uniform_unit_scaling.pbtxt new file mode 100644 index 0000000000..13295ef375 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.uniform_unit_scaling.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.initializers.uniform_unit_scaling" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.UniformUnitScaling\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'factor\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.variance_scaling.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.variance_scaling.pbtxt new file mode 100644 index 0000000000..86340913e2 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.variance_scaling.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.initializers.variance_scaling" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.VarianceScaling\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'scale\', \'mode\', \'distribution\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'fan_in\', \'truncated_normal\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.initializers.zeros.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.initializers.zeros.pbtxt new file mode 100644 index 0000000000..7df4237bb6 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.initializers.zeros.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.initializers.zeros" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.Zeros\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.io.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.io.pbtxt new file mode 100644 index 0000000000..3a36c168aa --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.io.pbtxt @@ -0,0 +1,39 @@ +path: "tensorflow.io" +tf_module { + member_method { + name: "decode_base64" + argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "decode_compressed" + argspec: "args=[\'bytes\', \'compression_type\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'None\'], " + } + member_method { + name: "decode_json_example" + argspec: "args=[\'json_examples\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "decode_raw" + argspec: "args=[\'bytes\', \'out_type\', \'little_endian\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], " + } + member_method { + name: "encode_base64" + argspec: "args=[\'input\', \'pad\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "matching_files" + argspec: "args=[\'pattern\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "parse_tensor" + argspec: "args=[\'serialized\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "read_file" + argspec: "args=[\'filename\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "write_file" + argspec: "args=[\'filename\', \'contents\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.-model.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.-model.pbtxt new file mode 100644 index 0000000000..40e82b18b6 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.-model.pbtxt @@ -0,0 +1,268 @@ +path: "tensorflow.keras.Model" +tf_class { + is_instance: "<class \'tensorflow.python.keras.engine.training.Model\'>" + is_instance: "<class \'tensorflow.python.keras.engine.network.Network\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "input_spec" + mtype: "<type \'property\'>" + } + member { + name: "layers" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "state_updates" + mtype: "<type \'property\'>" + } + member { + name: "stateful" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "uses_learning_phase" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compile" + argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'verbose\', \'sample_weight\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'1\', \'None\', \'None\'], " + } + member_method { + name: "evaluate_generator" + argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], " + } + member_method { + name: "fit" + argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'epochs\', \'verbose\', \'callbacks\', \'validation_split\', \'validation_data\', \'shuffle\', \'class_weight\', \'sample_weight\', \'initial_epoch\', \'steps_per_epoch\', \'validation_steps\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'1\', \'1\', \'None\', \'0.0\', \'None\', \'True\', \'None\', \'None\', \'0\', \'None\', \'None\'], " + } + member_method { + name: "fit_generator" + argspec: "args=[\'self\', \'generator\', \'steps_per_epoch\', \'epochs\', \'verbose\', \'callbacks\', \'validation_data\', \'validation_steps\', \'class_weight\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'shuffle\', \'initial_epoch\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'1\', \'None\', \'None\', \'None\', \'None\', \'10\', \'1\', \'False\', \'True\', \'0\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_layer" + argspec: "args=[\'self\', \'name\', \'index\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "load_weights" + argspec: "args=[\'self\', \'filepath\', \'by_name\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], " + } + member_method { + name: "predict_generator" + argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], " + } + member_method { + name: "predict_on_batch" + argspec: "args=[\'self\', \'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "reset_states" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "save" + argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'include_optimizer\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], " + } + member_method { + name: "save_weights" + argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'save_format\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], " + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "summary" + argspec: "args=[\'self\', \'line_length\', \'positions\', \'print_fn\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "test_on_batch" + argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "to_json" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "to_yaml" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "train_on_batch" + argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\', \'class_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.-sequential.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.-sequential.pbtxt new file mode 100644 index 0000000000..65cfad77d1 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.-sequential.pbtxt @@ -0,0 +1,289 @@ +path: "tensorflow.keras.Sequential" +tf_class { + is_instance: "<class \'tensorflow.python.keras.engine.sequential.Sequential\'>" + is_instance: "<class \'tensorflow.python.keras.engine.training.Model\'>" + is_instance: "<class \'tensorflow.python.keras.engine.network.Network\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "input_spec" + mtype: "<type \'property\'>" + } + member { + name: "layers" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "state_updates" + mtype: "<type \'property\'>" + } + member { + name: "stateful" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "uses_learning_phase" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'layers\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "add" + argspec: "args=[\'self\', \'layer\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compile" + argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'verbose\', \'sample_weight\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'1\', \'None\', \'None\'], " + } + member_method { + name: "evaluate_generator" + argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], " + } + member_method { + name: "fit" + argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'epochs\', \'verbose\', \'callbacks\', \'validation_split\', \'validation_data\', \'shuffle\', \'class_weight\', \'sample_weight\', \'initial_epoch\', \'steps_per_epoch\', \'validation_steps\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'1\', \'1\', \'None\', \'0.0\', \'None\', \'True\', \'None\', \'None\', \'0\', \'None\', \'None\'], " + } + member_method { + name: "fit_generator" + argspec: "args=[\'self\', \'generator\', \'steps_per_epoch\', \'epochs\', \'verbose\', \'callbacks\', \'validation_data\', \'validation_steps\', \'class_weight\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'shuffle\', \'initial_epoch\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'1\', \'None\', \'None\', \'None\', \'None\', \'10\', \'1\', \'False\', \'True\', \'0\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_layer" + argspec: "args=[\'self\', \'name\', \'index\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "load_weights" + argspec: "args=[\'self\', \'filepath\', \'by_name\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "pop" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], " + } + member_method { + name: "predict_classes" + argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\'], varargs=None, keywords=None, defaults=[\'32\', \'0\'], " + } + member_method { + name: "predict_generator" + argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], " + } + member_method { + name: "predict_on_batch" + argspec: "args=[\'self\', \'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict_proba" + argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\'], varargs=None, keywords=None, defaults=[\'32\', \'0\'], " + } + member_method { + name: "reset_states" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "save" + argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'include_optimizer\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], " + } + member_method { + name: "save_weights" + argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'save_format\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], " + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "summary" + argspec: "args=[\'self\', \'line_length\', \'positions\', \'print_fn\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "symbolic_set_inputs" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "test_on_batch" + argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "to_json" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "to_yaml" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "train_on_batch" + argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\', \'class_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.activations.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.activations.pbtxt new file mode 100644 index 0000000000..2cd83baf65 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.activations.pbtxt @@ -0,0 +1,55 @@ +path: "tensorflow.keras.activations" +tf_module { + member_method { + name: "deserialize" + argspec: "args=[\'name\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "elu" + argspec: "args=[\'x\', \'alpha\'], varargs=None, keywords=None, defaults=[\'1.0\'], " + } + member_method { + name: "get" + argspec: "args=[\'identifier\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "hard_sigmoid" + argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "linear" + argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "relu" + argspec: "args=[\'x\', \'alpha\', \'max_value\'], varargs=None, keywords=None, defaults=[\'0.0\', \'None\'], " + } + member_method { + name: "selu" + argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "serialize" + argspec: "args=[\'activation\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "sigmoid" + argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "softmax" + argspec: "args=[\'x\', \'axis\'], varargs=None, keywords=None, defaults=[\'-1\'], " + } + member_method { + name: "softplus" + argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "softsign" + argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "tanh" + argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.keras.applications.densenet.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.densenet.pbtxt index 42cb914450..42cb914450 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.applications.densenet.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.densenet.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.applications.inception_resnet_v2.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.inception_resnet_v2.pbtxt index 211080c19b..211080c19b 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.applications.inception_resnet_v2.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.inception_resnet_v2.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.applications.inception_v3.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.inception_v3.pbtxt index b67cee80ab..b67cee80ab 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.applications.inception_v3.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.inception_v3.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.applications.mobilenet.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.mobilenet.pbtxt index ef774e1dd7..ef774e1dd7 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.applications.mobilenet.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.mobilenet.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.applications.nasnet.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.nasnet.pbtxt index cd75b87540..cd75b87540 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.applications.nasnet.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.nasnet.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.applications.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.pbtxt index 9fc086eb8e..9fc086eb8e 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.applications.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.applications.resnet50.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.resnet50.pbtxt index 7385af064d..7385af064d 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.applications.resnet50.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.resnet50.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.applications.vgg16.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.vgg16.pbtxt index ba66fba8f3..ba66fba8f3 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.applications.vgg16.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.vgg16.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.applications.vgg19.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.vgg19.pbtxt index e55a1345b6..e55a1345b6 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.applications.vgg19.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.vgg19.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.applications.xception.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.xception.pbtxt index 59dd2108f2..59dd2108f2 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.applications.xception.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.applications.xception.pbtxt diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.backend.name_scope.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.backend.name_scope.pbtxt new file mode 100644 index 0000000000..a2b98b1c27 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.backend.name_scope.pbtxt @@ -0,0 +1,13 @@ +path: "tensorflow.keras.backend.name_scope" +tf_class { + is_instance: "<class \'tensorflow.python.framework.ops.name_scope\'>" + is_instance: "<type \'object\'>" + member { + name: "name" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'name\', \'default_name\', \'values\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.keras.backend.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.backend.pbtxt index c6149e8aa7..fddac63b78 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.backend.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.backend.pbtxt @@ -70,7 +70,7 @@ tf_module { } member_method { name: "categorical_crossentropy" - argspec: "args=[\'target\', \'output\', \'from_logits\'], varargs=None, keywords=None, defaults=[\'False\'], " + argspec: "args=[\'target\', \'output\', \'from_logits\', \'axis\'], varargs=None, keywords=None, defaults=[\'False\', \'-1\'], " } member_method { name: "clear_session" @@ -462,7 +462,7 @@ tf_module { } member_method { name: "sparse_categorical_crossentropy" - argspec: "args=[\'target\', \'output\', \'from_logits\'], varargs=None, keywords=None, defaults=[\'False\'], " + argspec: "args=[\'target\', \'output\', \'from_logits\', \'axis\'], varargs=None, keywords=None, defaults=[\'False\', \'-1\'], " } member_method { name: "spatial_2d_padding" diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-base-logger.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-base-logger.pbtxt new file mode 100644 index 0000000000..9eee9b3789 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-base-logger.pbtxt @@ -0,0 +1,42 @@ +path: "tensorflow.keras.callbacks.BaseLogger" +tf_class { + is_instance: "<class \'tensorflow.python.keras.callbacks.BaseLogger\'>" + is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'stateful_metrics\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_batch_begin" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_batch_end" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_begin" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_end" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_begin" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_end" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_model" + argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_params" + argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-c-s-v-logger.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-c-s-v-logger.pbtxt new file mode 100644 index 0000000000..5bb949c5bb --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-c-s-v-logger.pbtxt @@ -0,0 +1,42 @@ +path: "tensorflow.keras.callbacks.CSVLogger" +tf_class { + is_instance: "<class \'tensorflow.python.keras.callbacks.CSVLogger\'>" + is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filename\', \'separator\', \'append\'], varargs=None, keywords=None, defaults=[\',\', \'False\'], " + } + member_method { + name: "on_batch_begin" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_batch_end" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_begin" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_end" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_begin" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_end" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_model" + argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_params" + argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-callback.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-callback.pbtxt new file mode 100644 index 0000000000..a5340d52c1 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-callback.pbtxt @@ -0,0 +1,41 @@ +path: "tensorflow.keras.callbacks.Callback" +tf_class { + is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "on_batch_begin" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_batch_end" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_begin" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_end" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_begin" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_end" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_model" + argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_params" + argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-early-stopping.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-early-stopping.pbtxt new file mode 100644 index 0000000000..f71292856c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-early-stopping.pbtxt @@ -0,0 +1,42 @@ +path: "tensorflow.keras.callbacks.EarlyStopping" +tf_class { + is_instance: "<class \'tensorflow.python.keras.callbacks.EarlyStopping\'>" + is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'monitor\', \'min_delta\', \'patience\', \'verbose\', \'mode\', \'baseline\'], varargs=None, keywords=None, defaults=[\'val_loss\', \'0\', \'0\', \'0\', \'auto\', \'None\'], " + } + member_method { + name: "on_batch_begin" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_batch_end" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_begin" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_end" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_begin" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_end" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_model" + argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_params" + argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-history.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-history.pbtxt new file mode 100644 index 0000000000..ee400b31c4 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-history.pbtxt @@ -0,0 +1,42 @@ +path: "tensorflow.keras.callbacks.History" +tf_class { + is_instance: "<class \'tensorflow.python.keras.callbacks.History\'>" + is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "on_batch_begin" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_batch_end" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_begin" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_end" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_begin" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_end" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_model" + argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_params" + argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-lambda-callback.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-lambda-callback.pbtxt new file mode 100644 index 0000000000..df8d7b0ef7 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-lambda-callback.pbtxt @@ -0,0 +1,42 @@ +path: "tensorflow.keras.callbacks.LambdaCallback" +tf_class { + is_instance: "<class \'tensorflow.python.keras.callbacks.LambdaCallback\'>" + is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'on_epoch_begin\', \'on_epoch_end\', \'on_batch_begin\', \'on_batch_end\', \'on_train_begin\', \'on_train_end\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "on_batch_begin" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_batch_end" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_begin" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_end" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_begin" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_end" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_model" + argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_params" + argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-learning-rate-scheduler.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-learning-rate-scheduler.pbtxt new file mode 100644 index 0000000000..ce1a9b694d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-learning-rate-scheduler.pbtxt @@ -0,0 +1,42 @@ +path: "tensorflow.keras.callbacks.LearningRateScheduler" +tf_class { + is_instance: "<class \'tensorflow.python.keras.callbacks.LearningRateScheduler\'>" + is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'schedule\', \'verbose\'], varargs=None, keywords=None, defaults=[\'0\'], " + } + member_method { + name: "on_batch_begin" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_batch_end" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_begin" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_end" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_begin" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_end" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_model" + argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_params" + argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-model-checkpoint.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-model-checkpoint.pbtxt new file mode 100644 index 0000000000..48bb24a052 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-model-checkpoint.pbtxt @@ -0,0 +1,42 @@ +path: "tensorflow.keras.callbacks.ModelCheckpoint" +tf_class { + is_instance: "<class \'tensorflow.python.keras.callbacks.ModelCheckpoint\'>" + is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filepath\', \'monitor\', \'verbose\', \'save_best_only\', \'save_weights_only\', \'mode\', \'period\'], varargs=None, keywords=None, defaults=[\'val_loss\', \'0\', \'False\', \'False\', \'auto\', \'1\'], " + } + member_method { + name: "on_batch_begin" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_batch_end" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_begin" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_end" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_begin" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_end" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_model" + argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_params" + argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-progbar-logger.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-progbar-logger.pbtxt new file mode 100644 index 0000000000..d8bb8b2a7d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-progbar-logger.pbtxt @@ -0,0 +1,42 @@ +path: "tensorflow.keras.callbacks.ProgbarLogger" +tf_class { + is_instance: "<class \'tensorflow.python.keras.callbacks.ProgbarLogger\'>" + is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'count_mode\', \'stateful_metrics\'], varargs=None, keywords=None, defaults=[\'samples\', \'None\'], " + } + member_method { + name: "on_batch_begin" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_batch_end" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_begin" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_end" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_begin" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_end" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_model" + argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_params" + argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-reduce-l-r-on-plateau.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-reduce-l-r-on-plateau.pbtxt new file mode 100644 index 0000000000..dc27af9552 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-reduce-l-r-on-plateau.pbtxt @@ -0,0 +1,46 @@ +path: "tensorflow.keras.callbacks.ReduceLROnPlateau" +tf_class { + is_instance: "<class \'tensorflow.python.keras.callbacks.ReduceLROnPlateau\'>" + is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'monitor\', \'factor\', \'patience\', \'verbose\', \'mode\', \'min_delta\', \'cooldown\', \'min_lr\'], varargs=None, keywords=kwargs, defaults=[\'val_loss\', \'0.1\', \'10\', \'0\', \'auto\', \'0.0001\', \'0\', \'0\'], " + } + member_method { + name: "in_cooldown" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "on_batch_begin" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_batch_end" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_begin" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_end" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_begin" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_end" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_model" + argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_params" + argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-remote-monitor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-remote-monitor.pbtxt new file mode 100644 index 0000000000..5a3b791c0a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-remote-monitor.pbtxt @@ -0,0 +1,42 @@ +path: "tensorflow.keras.callbacks.RemoteMonitor" +tf_class { + is_instance: "<class \'tensorflow.python.keras.callbacks.RemoteMonitor\'>" + is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'root\', \'path\', \'field\', \'headers\', \'send_as_json\'], varargs=None, keywords=None, defaults=[\'http://localhost:9000\', \'/publish/epoch/end/\', \'data\', \'None\', \'False\'], " + } + member_method { + name: "on_batch_begin" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_batch_end" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_begin" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_end" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_begin" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_end" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_model" + argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_params" + argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-tensor-board.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-tensor-board.pbtxt new file mode 100644 index 0000000000..e58ba18c1c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-tensor-board.pbtxt @@ -0,0 +1,42 @@ +path: "tensorflow.keras.callbacks.TensorBoard" +tf_class { + is_instance: "<class \'tensorflow.python.keras.callbacks.TensorBoard\'>" + is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'log_dir\', \'histogram_freq\', \'batch_size\', \'write_graph\', \'write_grads\', \'write_images\', \'embeddings_freq\', \'embeddings_layer_names\', \'embeddings_metadata\', \'embeddings_data\'], varargs=None, keywords=None, defaults=[\'./logs\', \'0\', \'32\', \'True\', \'False\', \'False\', \'0\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "on_batch_begin" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_batch_end" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_begin" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_end" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_begin" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_end" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_model" + argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_params" + argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-terminate-on-na-n.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-terminate-on-na-n.pbtxt new file mode 100644 index 0000000000..5c2d336353 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.-terminate-on-na-n.pbtxt @@ -0,0 +1,42 @@ +path: "tensorflow.keras.callbacks.TerminateOnNaN" +tf_class { + is_instance: "<class \'tensorflow.python.keras.callbacks.TerminateOnNaN\'>" + is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "on_batch_begin" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_batch_end" + argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_begin" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_epoch_end" + argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_begin" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "on_train_end" + argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_model" + argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_params" + argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.pbtxt new file mode 100644 index 0000000000..1e9085e034 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.callbacks.pbtxt @@ -0,0 +1,55 @@ +path: "tensorflow.keras.callbacks" +tf_module { + member { + name: "BaseLogger" + mtype: "<type \'type\'>" + } + member { + name: "CSVLogger" + mtype: "<type \'type\'>" + } + member { + name: "Callback" + mtype: "<type \'type\'>" + } + member { + name: "EarlyStopping" + mtype: "<type \'type\'>" + } + member { + name: "History" + mtype: "<type \'type\'>" + } + member { + name: "LambdaCallback" + mtype: "<type \'type\'>" + } + member { + name: "LearningRateScheduler" + mtype: "<type \'type\'>" + } + member { + name: "ModelCheckpoint" + mtype: "<type \'type\'>" + } + member { + name: "ProgbarLogger" + mtype: "<type \'type\'>" + } + member { + name: "ReduceLROnPlateau" + mtype: "<type \'type\'>" + } + member { + name: "RemoteMonitor" + mtype: "<type \'type\'>" + } + member { + name: "TensorBoard" + mtype: "<type \'type\'>" + } + member { + name: "TerminateOnNaN" + mtype: "<type \'type\'>" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-constraint.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-constraint.pbtxt new file mode 100644 index 0000000000..8e07b7d98e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-constraint.pbtxt @@ -0,0 +1,12 @@ +path: "tensorflow.keras.constraints.Constraint" +tf_class { + is_instance: "<class \'tensorflow.python.keras.constraints.Constraint\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-max-norm.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-max-norm.pbtxt new file mode 100644 index 0000000000..2b81174b6c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-max-norm.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.keras.constraints.MaxNorm" +tf_class { + is_instance: "<class \'tensorflow.python.keras.constraints.MaxNorm\'>" + is_instance: "<class \'tensorflow.python.keras.constraints.Constraint\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'max_value\', \'axis\'], varargs=None, keywords=None, defaults=[\'2\', \'0\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-min-max-norm.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-min-max-norm.pbtxt new file mode 100644 index 0000000000..a41eda86ac --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-min-max-norm.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.keras.constraints.MinMaxNorm" +tf_class { + is_instance: "<class \'tensorflow.python.keras.constraints.MinMaxNorm\'>" + is_instance: "<class \'tensorflow.python.keras.constraints.Constraint\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'min_value\', \'max_value\', \'rate\', \'axis\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'1.0\', \'0\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-non-neg.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-non-neg.pbtxt new file mode 100644 index 0000000000..572e3eea4d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-non-neg.pbtxt @@ -0,0 +1,13 @@ +path: "tensorflow.keras.constraints.NonNeg" +tf_class { + is_instance: "<class \'tensorflow.python.keras.constraints.NonNeg\'>" + is_instance: "<class \'tensorflow.python.keras.constraints.Constraint\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-unit-norm.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-unit-norm.pbtxt new file mode 100644 index 0000000000..fe16c38cc8 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.-unit-norm.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.keras.constraints.UnitNorm" +tf_class { + is_instance: "<class \'tensorflow.python.keras.constraints.UnitNorm\'>" + is_instance: "<class \'tensorflow.python.keras.constraints.Constraint\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'axis\'], varargs=None, keywords=None, defaults=[\'0\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.max_norm.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.max_norm.pbtxt new file mode 100644 index 0000000000..6650bae07a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.max_norm.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.keras.constraints.max_norm" +tf_class { + is_instance: "<class \'tensorflow.python.keras.constraints.MaxNorm\'>" + is_instance: "<class \'tensorflow.python.keras.constraints.Constraint\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'max_value\', \'axis\'], varargs=None, keywords=None, defaults=[\'2\', \'0\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.min_max_norm.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.min_max_norm.pbtxt new file mode 100644 index 0000000000..9dd3bc92fc --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.min_max_norm.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.keras.constraints.min_max_norm" +tf_class { + is_instance: "<class \'tensorflow.python.keras.constraints.MinMaxNorm\'>" + is_instance: "<class \'tensorflow.python.keras.constraints.Constraint\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'min_value\', \'max_value\', \'rate\', \'axis\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'1.0\', \'0\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.non_neg.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.non_neg.pbtxt new file mode 100644 index 0000000000..a565840939 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.non_neg.pbtxt @@ -0,0 +1,13 @@ +path: "tensorflow.keras.constraints.non_neg" +tf_class { + is_instance: "<class \'tensorflow.python.keras.constraints.NonNeg\'>" + is_instance: "<class \'tensorflow.python.keras.constraints.Constraint\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.pbtxt new file mode 100644 index 0000000000..655685956f --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.pbtxt @@ -0,0 +1,51 @@ +path: "tensorflow.keras.constraints" +tf_module { + member { + name: "Constraint" + mtype: "<type \'type\'>" + } + member { + name: "MaxNorm" + mtype: "<type \'type\'>" + } + member { + name: "MinMaxNorm" + mtype: "<type \'type\'>" + } + member { + name: "NonNeg" + mtype: "<type \'type\'>" + } + member { + name: "UnitNorm" + mtype: "<type \'type\'>" + } + member { + name: "max_norm" + mtype: "<type \'type\'>" + } + member { + name: "min_max_norm" + mtype: "<type \'type\'>" + } + member { + name: "non_neg" + mtype: "<type \'type\'>" + } + member { + name: "unit_norm" + mtype: "<type \'type\'>" + } + member_method { + name: "deserialize" + argspec: "args=[\'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get" + argspec: "args=[\'identifier\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "serialize" + argspec: "args=[\'constraint\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.unit_norm.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.unit_norm.pbtxt new file mode 100644 index 0000000000..5cbe0da4c1 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.constraints.unit_norm.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.keras.constraints.unit_norm" +tf_class { + is_instance: "<class \'tensorflow.python.keras.constraints.UnitNorm\'>" + is_instance: "<class \'tensorflow.python.keras.constraints.Constraint\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'axis\'], varargs=None, keywords=None, defaults=[\'0\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.boston_housing.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.boston_housing.pbtxt new file mode 100644 index 0000000000..bda31751d4 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.boston_housing.pbtxt @@ -0,0 +1,7 @@ +path: "tensorflow.keras.datasets.boston_housing" +tf_module { + member_method { + name: "load_data" + argspec: "args=[\'path\', \'test_split\', \'seed\'], varargs=None, keywords=None, defaults=[\'boston_housing.npz\', \'0.2\', \'113\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.cifar10.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.cifar10.pbtxt new file mode 100644 index 0000000000..8a5142f793 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.cifar10.pbtxt @@ -0,0 +1,7 @@ +path: "tensorflow.keras.datasets.cifar10" +tf_module { + member_method { + name: "load_data" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.cifar100.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.cifar100.pbtxt new file mode 100644 index 0000000000..16f184eeb5 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.cifar100.pbtxt @@ -0,0 +1,7 @@ +path: "tensorflow.keras.datasets.cifar100" +tf_module { + member_method { + name: "load_data" + argspec: "args=[\'label_mode\'], varargs=None, keywords=None, defaults=[\'fine\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.fashion_mnist.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.fashion_mnist.pbtxt new file mode 100644 index 0000000000..a0e14356fa --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.fashion_mnist.pbtxt @@ -0,0 +1,7 @@ +path: "tensorflow.keras.datasets.fashion_mnist" +tf_module { + member_method { + name: "load_data" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.imdb.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.imdb.pbtxt new file mode 100644 index 0000000000..ff962876b6 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.imdb.pbtxt @@ -0,0 +1,11 @@ +path: "tensorflow.keras.datasets.imdb" +tf_module { + member_method { + name: "get_word_index" + argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=[\'imdb_word_index.json\'], " + } + member_method { + name: "load_data" + argspec: "args=[\'path\', \'num_words\', \'skip_top\', \'maxlen\', \'seed\', \'start_char\', \'oov_char\', \'index_from\'], varargs=None, keywords=kwargs, defaults=[\'imdb.npz\', \'None\', \'0\', \'None\', \'113\', \'1\', \'2\', \'3\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.mnist.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.mnist.pbtxt new file mode 100644 index 0000000000..530bb07550 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.mnist.pbtxt @@ -0,0 +1,7 @@ +path: "tensorflow.keras.datasets.mnist" +tf_module { + member_method { + name: "load_data" + argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=[\'mnist.npz\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.pbtxt new file mode 100644 index 0000000000..36e3aafbe4 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.pbtxt @@ -0,0 +1,31 @@ +path: "tensorflow.keras.datasets" +tf_module { + member { + name: "boston_housing" + mtype: "<type \'module\'>" + } + member { + name: "cifar10" + mtype: "<type \'module\'>" + } + member { + name: "cifar100" + mtype: "<type \'module\'>" + } + member { + name: "fashion_mnist" + mtype: "<type \'module\'>" + } + member { + name: "imdb" + mtype: "<type \'module\'>" + } + member { + name: "mnist" + mtype: "<type \'module\'>" + } + member { + name: "reuters" + mtype: "<type \'module\'>" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.reuters.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.reuters.pbtxt new file mode 100644 index 0000000000..2da4a13067 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.datasets.reuters.pbtxt @@ -0,0 +1,11 @@ +path: "tensorflow.keras.datasets.reuters" +tf_module { + member_method { + name: "get_word_index" + argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=[\'reuters_word_index.json\'], " + } + member_method { + name: "load_data" + argspec: "args=[\'path\', \'num_words\', \'skip_top\', \'maxlen\', \'test_split\', \'seed\', \'start_char\', \'oov_char\', \'index_from\'], varargs=None, keywords=kwargs, defaults=[\'reuters.npz\', \'None\', \'0\', \'None\', \'0.2\', \'113\', \'1\', \'2\', \'3\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.estimator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.estimator.pbtxt new file mode 100644 index 0000000000..7a3fb39f77 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.estimator.pbtxt @@ -0,0 +1,7 @@ +path: "tensorflow.keras.estimator" +tf_module { + member_method { + name: "model_to_estimator" + argspec: "args=[\'keras_model\', \'keras_model_path\', \'custom_objects\', \'model_dir\', \'config\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-constant.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-constant.pbtxt new file mode 100644 index 0000000000..cbaba78ed5 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-constant.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.initializers.Constant" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.Constant\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'value\', \'dtype\', \'verify_shape\'], varargs=None, keywords=None, defaults=[\'0\', \"<dtype: \'float32\'>\", \'False\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-identity.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-identity.pbtxt new file mode 100644 index 0000000000..a5f7f348de --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-identity.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.initializers.Identity" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.Identity\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'gain\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-initializer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-initializer.pbtxt new file mode 100644 index 0000000000..8f10d1698e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-initializer.pbtxt @@ -0,0 +1,16 @@ +path: "tensorflow.keras.initializers.Initializer" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-ones.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-ones.pbtxt new file mode 100644 index 0000000000..2fbfa774f8 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-ones.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.initializers.Ones" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.Ones\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-orthogonal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-orthogonal.pbtxt new file mode 100644 index 0000000000..874d320d73 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-orthogonal.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.initializers.Orthogonal" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.Orthogonal\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'gain\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-random-normal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-random-normal.pbtxt new file mode 100644 index 0000000000..23cd02c0b0 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-random-normal.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.initializers.RandomNormal" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.RandomNormal\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-random-uniform.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-random-uniform.pbtxt new file mode 100644 index 0000000000..d98628f422 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-random-uniform.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.initializers.RandomUniform" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.RandomUniform\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'minval\', \'maxval\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-truncated-normal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-truncated-normal.pbtxt new file mode 100644 index 0000000000..86d48257c1 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-truncated-normal.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.initializers.TruncatedNormal" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.TruncatedNormal\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-variance-scaling.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-variance-scaling.pbtxt new file mode 100644 index 0000000000..03f4064b9e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-variance-scaling.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.initializers.VarianceScaling" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.VarianceScaling\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'scale\', \'mode\', \'distribution\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'fan_in\', \'truncated_normal\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-zeros.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-zeros.pbtxt new file mode 100644 index 0000000000..b6ab68e5be --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.-zeros.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.initializers.Zeros" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.Zeros\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.constant.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.constant.pbtxt new file mode 100644 index 0000000000..bddc37b907 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.constant.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.initializers.constant" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.Constant\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'value\', \'dtype\', \'verify_shape\'], varargs=None, keywords=None, defaults=[\'0\', \"<dtype: \'float32\'>\", \'False\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.identity.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.identity.pbtxt new file mode 100644 index 0000000000..a4c5a61490 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.identity.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.initializers.identity" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.Identity\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'gain\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.normal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.normal.pbtxt new file mode 100644 index 0000000000..7485772784 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.normal.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.initializers.normal" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.RandomNormal\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.ones.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.ones.pbtxt new file mode 100644 index 0000000000..a89f78d1e1 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.ones.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.initializers.ones" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.Ones\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.orthogonal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.orthogonal.pbtxt new file mode 100644 index 0000000000..ee1e9bbae2 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.orthogonal.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.initializers.orthogonal" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.Orthogonal\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'gain\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.pbtxt new file mode 100644 index 0000000000..8645e54302 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.pbtxt @@ -0,0 +1,119 @@ +path: "tensorflow.keras.initializers" +tf_module { + member { + name: "Constant" + mtype: "<type \'type\'>" + } + member { + name: "Identity" + mtype: "<type \'type\'>" + } + member { + name: "Initializer" + mtype: "<type \'type\'>" + } + member { + name: "Ones" + mtype: "<type \'type\'>" + } + member { + name: "Orthogonal" + mtype: "<type \'type\'>" + } + member { + name: "RandomNormal" + mtype: "<type \'type\'>" + } + member { + name: "RandomUniform" + mtype: "<type \'type\'>" + } + member { + name: "TruncatedNormal" + mtype: "<type \'type\'>" + } + member { + name: "VarianceScaling" + mtype: "<type \'type\'>" + } + member { + name: "Zeros" + mtype: "<type \'type\'>" + } + member { + name: "constant" + mtype: "<type \'type\'>" + } + member { + name: "identity" + mtype: "<type \'type\'>" + } + member { + name: "normal" + mtype: "<type \'type\'>" + } + member { + name: "ones" + mtype: "<type \'type\'>" + } + member { + name: "orthogonal" + mtype: "<type \'type\'>" + } + member { + name: "random_normal" + mtype: "<type \'type\'>" + } + member { + name: "random_uniform" + mtype: "<type \'type\'>" + } + member { + name: "truncated_normal" + mtype: "<type \'type\'>" + } + member { + name: "uniform" + mtype: "<type \'type\'>" + } + member { + name: "zeros" + mtype: "<type \'type\'>" + } + member_method { + name: "deserialize" + argspec: "args=[\'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get" + argspec: "args=[\'identifier\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "glorot_normal" + argspec: "args=[\'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "glorot_uniform" + argspec: "args=[\'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "he_normal" + argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "he_uniform" + argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "lecun_normal" + argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "lecun_uniform" + argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "serialize" + argspec: "args=[\'initializer\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.random_normal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.random_normal.pbtxt new file mode 100644 index 0000000000..a6df1e87a3 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.random_normal.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.initializers.random_normal" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.RandomNormal\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.random_uniform.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.random_uniform.pbtxt new file mode 100644 index 0000000000..37a0fa0d55 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.random_uniform.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.initializers.random_uniform" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.RandomUniform\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'minval\', \'maxval\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.truncated_normal.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.truncated_normal.pbtxt new file mode 100644 index 0000000000..f97e93f0b7 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.truncated_normal.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.initializers.truncated_normal" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.TruncatedNormal\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.uniform.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.uniform.pbtxt new file mode 100644 index 0000000000..58186b1383 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.uniform.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.initializers.uniform" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.RandomUniform\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'minval\', \'maxval\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.zeros.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.zeros.pbtxt new file mode 100644 index 0000000000..a262390687 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.initializers.zeros.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.initializers.zeros" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.Zeros\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-activation.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-activation.pbtxt new file mode 100644 index 0000000000..86e328888e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-activation.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.Activation" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.core.Activation\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'activation\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-activity-regularization.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-activity-regularization.pbtxt new file mode 100644 index 0000000000..b0ed545781 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-activity-regularization.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.ActivityRegularization" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.core.ActivityRegularization\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'l1\', \'l2\'], varargs=None, keywords=kwargs, defaults=[\'0.0\', \'0.0\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-add.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-add.pbtxt new file mode 100644 index 0000000000..42f98ed03d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-add.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.Add" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.merge.Add\'>" + is_instance: "<class \'tensorflow.python.keras.layers.merge._Merge\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-alpha-dropout.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-alpha-dropout.pbtxt new file mode 100644 index 0000000000..000898a4be --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-alpha-dropout.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.AlphaDropout" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.noise.AlphaDropout\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'rate\', \'noise_shape\', \'seed\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average-pooling1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average-pooling1-d.pbtxt new file mode 100644 index 0000000000..380b49f99c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average-pooling1-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.AveragePooling1D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.AveragePooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'2\', \'None\', \'valid\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average-pooling2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average-pooling2-d.pbtxt new file mode 100644 index 0000000000..82db5e6137 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average-pooling2-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.AveragePooling2D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.AveragePooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(2, 2)\', \'None\', \'valid\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average-pooling3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average-pooling3-d.pbtxt new file mode 100644 index 0000000000..b6ff688ec3 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average-pooling3-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.AveragePooling3D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.AveragePooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(2, 2, 2)\', \'None\', \'valid\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average.pbtxt new file mode 100644 index 0000000000..b41290f8b0 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-average.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.Average" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.merge.Average\'>" + is_instance: "<class \'tensorflow.python.keras.layers.merge._Merge\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-avg-pool1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-avg-pool1-d.pbtxt new file mode 100644 index 0000000000..88a033e61f --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-avg-pool1-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.AvgPool1D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.AveragePooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'2\', \'None\', \'valid\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-avg-pool2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-avg-pool2-d.pbtxt new file mode 100644 index 0000000000..c1b9b96044 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-avg-pool2-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.AvgPool2D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.AveragePooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(2, 2)\', \'None\', \'valid\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-avg-pool3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-avg-pool3-d.pbtxt new file mode 100644 index 0000000000..f59f7727a3 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-avg-pool3-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.AvgPool3D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.AveragePooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(2, 2, 2)\', \'None\', \'valid\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-batch-normalization.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-batch-normalization.pbtxt new file mode 100644 index 0000000000..7d3744ed92 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-batch-normalization.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.BatchNormalization" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.normalization.BatchNormalization\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'axis\', \'momentum\', \'epsilon\', \'center\', \'scale\', \'beta_initializer\', \'gamma_initializer\', \'moving_mean_initializer\', \'moving_variance_initializer\', \'beta_regularizer\', \'gamma_regularizer\', \'beta_constraint\', \'gamma_constraint\', \'renorm\', \'renorm_clipping\', \'renorm_momentum\', \'fused\', \'trainable\', \'virtual_batch_size\', \'adjustment\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'-1\', \'0.99\', \'0.001\', \'True\', \'True\', \'zeros\', \'ones\', \'zeros\', \'ones\', \'None\', \'None\', \'None\', \'None\', \'False\', \'None\', \'0.99\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-bidirectional.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-bidirectional.pbtxt new file mode 100644 index 0000000000..3fd4ccdab2 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-bidirectional.pbtxt @@ -0,0 +1,188 @@ +path: "tensorflow.keras.layers.Bidirectional" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.wrappers.Bidirectional\'>" + is_instance: "<class \'tensorflow.python.keras.layers.wrappers.Wrapper\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "constraints" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'layer\', \'merge_mode\', \'weights\'], varargs=None, keywords=kwargs, defaults=[\'concat\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\', \'mask\', \'initial_state\', \'constants\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "reset_states" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-concatenate.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-concatenate.pbtxt new file mode 100644 index 0000000000..ba21b50be4 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-concatenate.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.Concatenate" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.merge.Concatenate\'>" + is_instance: "<class \'tensorflow.python.keras.layers.merge._Merge\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'axis\'], varargs=None, keywords=kwargs, defaults=[\'-1\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv-l-s-t-m2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv-l-s-t-m2-d.pbtxt new file mode 100644 index 0000000000..46f9fa2bbb --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv-l-s-t-m2-d.pbtxt @@ -0,0 +1,273 @@ +path: "tensorflow.keras.layers.ConvLSTM2D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional_recurrent.ConvLSTM2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional_recurrent.ConvRNN2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.recurrent.RNN\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activation" + mtype: "<type \'property\'>" + } + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "bias_constraint" + mtype: "<type \'property\'>" + } + member { + name: "bias_initializer" + mtype: "<type \'property\'>" + } + member { + name: "bias_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "data_format" + mtype: "<type \'property\'>" + } + member { + name: "dilation_rate" + mtype: "<type \'property\'>" + } + member { + name: "dropout" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "filters" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "kernel_constraint" + mtype: "<type \'property\'>" + } + member { + name: "kernel_initializer" + mtype: "<type \'property\'>" + } + member { + name: "kernel_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "kernel_size" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "padding" + mtype: "<type \'property\'>" + } + member { + name: "recurrent_activation" + mtype: "<type \'property\'>" + } + member { + name: "recurrent_constraint" + mtype: "<type \'property\'>" + } + member { + name: "recurrent_dropout" + mtype: "<type \'property\'>" + } + member { + name: "recurrent_initializer" + mtype: "<type \'property\'>" + } + member { + name: "recurrent_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "states" + mtype: "<type \'property\'>" + } + member { + name: "strides" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "unit_forget_bias" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "use_bias" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'recurrent_activation\', \'use_bias\', \'kernel_initializer\', \'recurrent_initializer\', \'bias_initializer\', \'unit_forget_bias\', \'kernel_regularizer\', \'recurrent_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'recurrent_constraint\', \'bias_constraint\', \'return_sequences\', \'go_backwards\', \'stateful\', \'dropout\', \'recurrent_dropout\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'None\', \'(1, 1)\', \'tanh\', \'hard_sigmoid\', \'True\', \'glorot_uniform\', \'orthogonal\', \'zeros\', \'True\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'False\', \'False\', \'False\', \'0.0\', \'0.0\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'mask\', \'training\', \'initial_state\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_initial_state" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "reset_states" + argspec: "args=[\'self\', \'states\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv1-d.pbtxt new file mode 100644 index 0000000000..c3ad326589 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv1-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.Conv1D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], 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\'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv2-d-transpose.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv2-d-transpose.pbtxt new file mode 100644 index 0000000000..fd9eb43066 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv2-d-transpose.pbtxt @@ -0,0 +1,177 @@ +path: "tensorflow.keras.layers.Conv2DTranspose" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2DTranspose\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'None\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv2-d.pbtxt new file mode 100644 index 0000000000..40d61688f2 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv2-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.Conv2D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'None\', \'(1, 1)\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv3-d-transpose.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv3-d-transpose.pbtxt new file mode 100644 index 0000000000..b8c227d725 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv3-d-transpose.pbtxt @@ -0,0 +1,177 @@ +path: "tensorflow.keras.layers.Conv3DTranspose" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3DTranspose\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1, 1)\', \'valid\', \'None\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv3-d.pbtxt new file mode 100644 index 0000000000..095d35e574 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-conv3-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.Conv3D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1, 1)\', \'valid\', \'None\', \'(1, 1, 1)\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution1-d.pbtxt new file mode 100644 index 0000000000..8f99961198 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution1-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.Convolution1D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'1\', \'valid\', \'channels_last\', \'1\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution2-d-transpose.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution2-d-transpose.pbtxt new file mode 100644 index 0000000000..96d522a016 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution2-d-transpose.pbtxt @@ -0,0 +1,177 @@ +path: "tensorflow.keras.layers.Convolution2DTranspose" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2DTranspose\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'None\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution2-d.pbtxt new file mode 100644 index 0000000000..de2824dab4 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution2-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.Convolution2D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'None\', \'(1, 1)\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution3-d-transpose.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution3-d-transpose.pbtxt new file mode 100644 index 0000000000..1d563241d8 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution3-d-transpose.pbtxt @@ -0,0 +1,177 @@ +path: "tensorflow.keras.layers.Convolution3DTranspose" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3DTranspose\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1, 1)\', \'valid\', \'None\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution3-d.pbtxt new file mode 100644 index 0000000000..c87e52c537 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-convolution3-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.Convolution3D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1, 1)\', \'valid\', \'None\', \'(1, 1, 1)\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cropping1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cropping1-d.pbtxt new file mode 100644 index 0000000000..dccf5523e3 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cropping1-d.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.Cropping1D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Cropping1D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'cropping\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cropping2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cropping2-d.pbtxt new file mode 100644 index 0000000000..7ac4116d92 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cropping2-d.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.Cropping2D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Cropping2D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'cropping\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'((0, 0), (0, 0))\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cropping3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cropping3-d.pbtxt new file mode 100644 index 0000000000..024f72705d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cropping3-d.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.Cropping3D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Cropping3D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'cropping\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'((1, 1), (1, 1), (1, 1))\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cu-d-n-n-g-r-u.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cu-d-n-n-g-r-u.pbtxt new file mode 100644 index 0000000000..4e0233331b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cu-d-n-n-g-r-u.pbtxt @@ -0,0 +1,193 @@ +path: "tensorflow.keras.layers.CuDNNGRU" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.cudnn_recurrent.CuDNNGRU\'>" + is_instance: "<class \'tensorflow.python.keras.layers.cudnn_recurrent._CuDNNRNN\'>" + is_instance: "<class \'tensorflow.python.keras.layers.recurrent.RNN\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "cell" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "states" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'units\', \'kernel_initializer\', \'recurrent_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'recurrent_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'recurrent_constraint\', \'bias_constraint\', \'return_sequences\', \'return_state\', \'go_backwards\', \'stateful\'], varargs=None, keywords=kwargs, defaults=[\'glorot_uniform\', \'orthogonal\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'False\', \'False\', \'False\', \'False\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'mask\', \'training\', \'initial_state\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_initial_state" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "reset_states" + argspec: "args=[\'self\', \'states\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cu-d-n-n-l-s-t-m.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cu-d-n-n-l-s-t-m.pbtxt new file mode 100644 index 0000000000..32d46ce8f3 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-cu-d-n-n-l-s-t-m.pbtxt @@ -0,0 +1,193 @@ +path: "tensorflow.keras.layers.CuDNNLSTM" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.cudnn_recurrent.CuDNNLSTM\'>" + is_instance: "<class \'tensorflow.python.keras.layers.cudnn_recurrent._CuDNNRNN\'>" + is_instance: "<class \'tensorflow.python.keras.layers.recurrent.RNN\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "cell" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "states" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'units\', \'kernel_initializer\', \'recurrent_initializer\', \'bias_initializer\', \'unit_forget_bias\', \'kernel_regularizer\', \'recurrent_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'recurrent_constraint\', \'bias_constraint\', \'return_sequences\', \'return_state\', \'go_backwards\', \'stateful\'], varargs=None, keywords=kwargs, defaults=[\'glorot_uniform\', \'orthogonal\', \'zeros\', \'True\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'False\', \'False\', \'False\', \'False\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'mask\', \'training\', \'initial_state\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_initial_state" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "reset_states" + argspec: "args=[\'self\', \'states\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-dense.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-dense.pbtxt new file mode 100644 index 0000000000..858486c725 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-dense.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.Dense" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.core.Dense\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'units\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-depthwise-conv2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-depthwise-conv2-d.pbtxt new file mode 100644 index 0000000000..f65d750926 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-depthwise-conv2-d.pbtxt @@ -0,0 +1,177 @@ +path: "tensorflow.keras.layers.DepthwiseConv2D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.DepthwiseConv2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'kernel_size\', \'strides\', \'padding\', \'depth_multiplier\', \'data_format\', \'activation\', \'use_bias\', \'depthwise_initializer\', \'bias_initializer\', \'depthwise_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'depthwise_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'1\', \'None\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-dot.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-dot.pbtxt new file mode 100644 index 0000000000..2e71ef503d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-dot.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.Dot" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.merge.Dot\'>" + is_instance: "<class \'tensorflow.python.keras.layers.merge._Merge\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'axes\', \'normalize\'], varargs=None, keywords=kwargs, defaults=[\'False\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-dropout.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-dropout.pbtxt new file mode 100644 index 0000000000..42533bcd21 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-dropout.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.Dropout" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.core.Dropout\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'rate\', \'noise_shape\', \'seed\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-e-l-u.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-e-l-u.pbtxt new file mode 100644 index 0000000000..b5df169417 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-e-l-u.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.ELU" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.advanced_activations.ELU\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'alpha\'], varargs=None, keywords=kwargs, defaults=[\'1.0\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-embedding.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-embedding.pbtxt new file mode 100644 index 0000000000..0ea17919a9 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-embedding.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.Embedding" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.embeddings.Embedding\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'input_dim\', \'output_dim\', \'embeddings_initializer\', \'embeddings_regularizer\', \'activity_regularizer\', \'embeddings_constraint\', \'mask_zero\', \'input_length\'], varargs=None, keywords=kwargs, defaults=[\'uniform\', \'None\', \'None\', \'None\', \'False\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-flatten.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-flatten.pbtxt new file mode 100644 index 0000000000..a33248bc00 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-flatten.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.Flatten" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.core.Flatten\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-g-r-u-cell.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-g-r-u-cell.pbtxt new file mode 100644 index 0000000000..4ba21a25cd --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-g-r-u-cell.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.GRUCell" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.recurrent.GRUCell\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'units\', \'activation\', \'recurrent_activation\', \'use_bias\', \'kernel_initializer\', \'recurrent_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'recurrent_regularizer\', \'bias_regularizer\', \'kernel_constraint\', \'recurrent_constraint\', \'bias_constraint\', \'dropout\', \'recurrent_dropout\', \'implementation\', \'reset_after\'], varargs=None, keywords=kwargs, defaults=[\'tanh\', \'hard_sigmoid\', \'True\', \'glorot_uniform\', \'orthogonal\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'0.0\', \'0.0\', \'1\', \'False\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'states\', \'training\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-g-r-u.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-g-r-u.pbtxt new file mode 100644 index 0000000000..a7a570418e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-g-r-u.pbtxt @@ -0,0 +1,256 @@ +path: "tensorflow.keras.layers.GRU" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.recurrent.GRU\'>" + is_instance: "<class \'tensorflow.python.keras.layers.recurrent.RNN\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activation" + mtype: "<type \'property\'>" + } + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "bias_constraint" + mtype: "<type \'property\'>" + } + member { + name: "bias_initializer" + mtype: "<type \'property\'>" + } + member { + name: "bias_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dropout" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "implementation" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "kernel_constraint" + mtype: "<type \'property\'>" + } + member { + name: "kernel_initializer" + mtype: "<type \'property\'>" + } + member { + name: "kernel_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "recurrent_activation" + mtype: "<type \'property\'>" + } + member { + name: "recurrent_constraint" + mtype: "<type \'property\'>" + } + member { + name: "recurrent_dropout" + mtype: "<type \'property\'>" + } + member { + name: "recurrent_initializer" + mtype: "<type \'property\'>" + } + member { + name: "recurrent_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "reset_after" + mtype: "<type \'property\'>" + } + member { + name: "states" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "units" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "use_bias" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'units\', \'activation\', \'recurrent_activation\', \'use_bias\', \'kernel_initializer\', \'recurrent_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'recurrent_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'recurrent_constraint\', \'bias_constraint\', \'dropout\', \'recurrent_dropout\', \'implementation\', \'return_sequences\', \'return_state\', \'go_backwards\', \'stateful\', \'unroll\', \'reset_after\'], varargs=None, keywords=kwargs, defaults=[\'tanh\', \'hard_sigmoid\', \'True\', \'glorot_uniform\', \'orthogonal\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'0.0\', \'0.0\', \'1\', \'False\', \'False\', \'False\', \'False\', \'False\', \'False\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'mask\', \'training\', \'initial_state\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_initial_state" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "reset_states" + argspec: "args=[\'self\', \'states\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-gaussian-dropout.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-gaussian-dropout.pbtxt new file mode 100644 index 0000000000..763bc23113 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-gaussian-dropout.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.GaussianDropout" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.noise.GaussianDropout\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'rate\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-gaussian-noise.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-gaussian-noise.pbtxt new file mode 100644 index 0000000000..3c50a3d7f2 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-gaussian-noise.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.GaussianNoise" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.noise.GaussianNoise\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'stddev\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-average-pooling1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-average-pooling1-d.pbtxt new file mode 100644 index 0000000000..ac78bdafad --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-average-pooling1-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.GlobalAveragePooling1D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalAveragePooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-average-pooling2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-average-pooling2-d.pbtxt new file mode 100644 index 0000000000..275282d9d2 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-average-pooling2-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.GlobalAveragePooling2D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalAveragePooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-average-pooling3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-average-pooling3-d.pbtxt new file mode 100644 index 0000000000..0e31e6058b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-average-pooling3-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.GlobalAveragePooling3D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalAveragePooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-avg-pool1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-avg-pool1-d.pbtxt new file mode 100644 index 0000000000..aacd0b1791 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-avg-pool1-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.GlobalAvgPool1D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalAveragePooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-avg-pool2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-avg-pool2-d.pbtxt new file mode 100644 index 0000000000..c236548663 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-avg-pool2-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.GlobalAvgPool2D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalAveragePooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-avg-pool3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-avg-pool3-d.pbtxt new file mode 100644 index 0000000000..6b9c0290aa --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-avg-pool3-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.GlobalAvgPool3D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalAveragePooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pool1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pool1-d.pbtxt new file mode 100644 index 0000000000..0d7b2211e6 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pool1-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.GlobalMaxPool1D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalMaxPooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pool2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pool2-d.pbtxt new file mode 100644 index 0000000000..d080ad6aed --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pool2-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.GlobalMaxPool2D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalMaxPooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pool3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pool3-d.pbtxt new file mode 100644 index 0000000000..fcb0a109da --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pool3-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.GlobalMaxPool3D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalMaxPooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pooling1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pooling1-d.pbtxt new file mode 100644 index 0000000000..1d0e22abd0 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pooling1-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.GlobalMaxPooling1D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalMaxPooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pooling2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pooling2-d.pbtxt new file mode 100644 index 0000000000..653c9f547b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pooling2-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.GlobalMaxPooling2D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalMaxPooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pooling3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pooling3-d.pbtxt new file mode 100644 index 0000000000..cdbaf82cf6 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-global-max-pooling3-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.GlobalMaxPooling3D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalMaxPooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.GlobalPooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-input-layer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-input-layer.pbtxt new file mode 100644 index 0000000000..230c5e9034 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-input-layer.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.InputLayer" +tf_class { + is_instance: "<class \'tensorflow.python.keras.engine.input_layer.InputLayer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'input_shape\', \'batch_size\', \'dtype\', \'input_tensor\', \'sparse\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'False\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-input-spec.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-input-spec.pbtxt new file mode 100644 index 0000000000..5fd0a47a68 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-input-spec.pbtxt @@ -0,0 +1,9 @@ +path: "tensorflow.keras.layers.InputSpec" +tf_class { + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.InputSpec\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dtype\', \'shape\', \'ndim\', \'max_ndim\', \'min_ndim\', \'axes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-l-s-t-m-cell.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-l-s-t-m-cell.pbtxt new file mode 100644 index 0000000000..511456e740 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-l-s-t-m-cell.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.LSTMCell" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.recurrent.LSTMCell\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'units\', \'activation\', \'recurrent_activation\', \'use_bias\', \'kernel_initializer\', \'recurrent_initializer\', \'bias_initializer\', \'unit_forget_bias\', \'kernel_regularizer\', \'recurrent_regularizer\', \'bias_regularizer\', \'kernel_constraint\', \'recurrent_constraint\', \'bias_constraint\', \'dropout\', \'recurrent_dropout\', \'implementation\'], varargs=None, keywords=kwargs, defaults=[\'tanh\', \'hard_sigmoid\', \'True\', \'glorot_uniform\', \'orthogonal\', \'zeros\', \'True\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'0.0\', \'0.0\', \'1\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'states\', \'training\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-l-s-t-m.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-l-s-t-m.pbtxt new file mode 100644 index 0000000000..4a3492ebd6 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-l-s-t-m.pbtxt @@ -0,0 +1,256 @@ +path: "tensorflow.keras.layers.LSTM" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.recurrent.LSTM\'>" + is_instance: "<class \'tensorflow.python.keras.layers.recurrent.RNN\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activation" + mtype: "<type \'property\'>" + } + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "bias_constraint" + mtype: "<type \'property\'>" + } + member { + name: "bias_initializer" + mtype: "<type \'property\'>" + } + member { + name: "bias_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dropout" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "implementation" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "kernel_constraint" + mtype: "<type \'property\'>" + } + member { + name: "kernel_initializer" + mtype: "<type \'property\'>" + } + member { + name: "kernel_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "recurrent_activation" + mtype: "<type \'property\'>" + } + member { + name: "recurrent_constraint" + mtype: "<type \'property\'>" + } + member { + name: "recurrent_dropout" + mtype: "<type \'property\'>" + } + member { + name: "recurrent_initializer" + mtype: "<type \'property\'>" + } + member { + name: "recurrent_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "states" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "unit_forget_bias" + mtype: "<type \'property\'>" + } + member { + name: "units" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "use_bias" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'units\', \'activation\', \'recurrent_activation\', \'use_bias\', \'kernel_initializer\', \'recurrent_initializer\', \'bias_initializer\', \'unit_forget_bias\', \'kernel_regularizer\', \'recurrent_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'recurrent_constraint\', \'bias_constraint\', \'dropout\', \'recurrent_dropout\', \'implementation\', \'return_sequences\', \'return_state\', \'go_backwards\', \'stateful\', \'unroll\'], varargs=None, keywords=kwargs, defaults=[\'tanh\', \'hard_sigmoid\', \'True\', \'glorot_uniform\', \'orthogonal\', \'zeros\', \'True\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'0.0\', \'0.0\', \'1\', \'False\', \'False\', \'False\', \'False\', \'False\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'mask\', \'training\', \'initial_state\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_initial_state" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "reset_states" + argspec: "args=[\'self\', \'states\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-lambda.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-lambda.pbtxt index ecbaa9ce2c..5d05cf689f 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-lambda.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-lambda.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-layer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-layer.pbtxt new file mode 100644 index 0000000000..7efa29be77 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-layer.pbtxt @@ -0,0 +1,174 @@ +path: "tensorflow.keras.layers.Layer" +tf_class { + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'trainable\', \'name\', \'dtype\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-leaky-re-l-u.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-leaky-re-l-u.pbtxt new file mode 100644 index 0000000000..0ca8e0b52c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-leaky-re-l-u.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.LeakyReLU" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.advanced_activations.LeakyReLU\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'alpha\'], varargs=None, keywords=kwargs, defaults=[\'0.3\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-locally-connected1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-locally-connected1-d.pbtxt new file mode 100644 index 0000000000..f754fa1da8 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-locally-connected1-d.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.LocallyConnected1D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.local.LocallyConnected1D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'1\', \'valid\', \'None\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-locally-connected2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-locally-connected2-d.pbtxt new file mode 100644 index 0000000000..c9516b8f07 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-locally-connected2-d.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.LocallyConnected2D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.local.LocallyConnected2D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'None\', \'None\', \'True\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-masking.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-masking.pbtxt new file mode 100644 index 0000000000..850ecff974 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-masking.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.Masking" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.core.Masking\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'mask_value\'], varargs=None, keywords=kwargs, defaults=[\'0.0\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pool1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pool1-d.pbtxt new file mode 100644 index 0000000000..7c69e31f9a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pool1-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.MaxPool1D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.MaxPooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'2\', \'None\', \'valid\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pool2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pool2-d.pbtxt new file mode 100644 index 0000000000..fba42642d7 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pool2-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.MaxPool2D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.MaxPooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(2, 2)\', \'None\', \'valid\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pool3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pool3-d.pbtxt new file mode 100644 index 0000000000..9c277411ea --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pool3-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.MaxPool3D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.MaxPooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(2, 2, 2)\', \'None\', \'valid\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pooling1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pooling1-d.pbtxt new file mode 100644 index 0000000000..7c2f6ccc8a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pooling1-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.MaxPooling1D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.MaxPooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'2\', \'None\', \'valid\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pooling2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pooling2-d.pbtxt new file mode 100644 index 0000000000..802178dba6 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pooling2-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.MaxPooling2D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.MaxPooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(2, 2)\', \'None\', \'valid\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pooling3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pooling3-d.pbtxt new file mode 100644 index 0000000000..e870dfe9ad --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-max-pooling3-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.MaxPooling3D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.pooling.MaxPooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(2, 2, 2)\', \'None\', \'valid\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-maximum.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-maximum.pbtxt new file mode 100644 index 0000000000..c1337ce0cb --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-maximum.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.Maximum" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.merge.Maximum\'>" + is_instance: "<class \'tensorflow.python.keras.layers.merge._Merge\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-minimum.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-minimum.pbtxt new file mode 100644 index 0000000000..ed27a62765 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-minimum.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.Minimum" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.merge.Minimum\'>" + is_instance: "<class \'tensorflow.python.keras.layers.merge._Merge\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-multiply.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-multiply.pbtxt new file mode 100644 index 0000000000..b9f05cb3e5 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-multiply.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.Multiply" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.merge.Multiply\'>" + is_instance: "<class \'tensorflow.python.keras.layers.merge._Merge\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-p-re-l-u.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-p-re-l-u.pbtxt new file mode 100644 index 0000000000..336d9f76fb --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-p-re-l-u.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.PReLU" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.advanced_activations.PReLU\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'alpha_initializer\', \'alpha_regularizer\', \'alpha_constraint\', \'shared_axes\'], varargs=None, keywords=kwargs, defaults=[\'zeros\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-permute.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-permute.pbtxt new file mode 100644 index 0000000000..46282217e0 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-permute.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.Permute" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.core.Permute\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dims\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-r-n-n.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-r-n-n.pbtxt new file mode 100644 index 0000000000..42cd7e87ee --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-r-n-n.pbtxt @@ -0,0 +1,187 @@ +path: "tensorflow.keras.layers.RNN" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.recurrent.RNN\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "states" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'cell\', \'return_sequences\', \'return_state\', \'go_backwards\', \'stateful\', \'unroll\'], varargs=None, keywords=kwargs, defaults=[\'False\', \'False\', \'False\', \'False\', \'False\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'mask\', \'training\', \'initial_state\', \'constants\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_initial_state" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "reset_states" + argspec: "args=[\'self\', \'states\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.keras.layers.-re-l-u.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-re-l-u.pbtxt index f3a96ab895..c00fa79adf 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.layers.-re-l-u.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-re-l-u.pbtxt @@ -98,7 +98,7 @@ tf_class { } member_method { name: "add_weight" - argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " } member_method { name: "apply" diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-repeat-vector.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-repeat-vector.pbtxt new file mode 100644 index 0000000000..9f094a877a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-repeat-vector.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.RepeatVector" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.core.RepeatVector\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'n\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-reshape.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-reshape.pbtxt new file mode 100644 index 0000000000..2f519a2438 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-reshape.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.Reshape" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.core.Reshape\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'target_shape\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-conv1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-conv1-d.pbtxt new file mode 100644 index 0000000000..6b93116ba0 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-conv1-d.pbtxt @@ -0,0 +1,177 @@ +path: "tensorflow.keras.layers.SeparableConv1D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'depth_multiplier\', \'activation\', \'use_bias\', \'depthwise_initializer\', \'pointwise_initializer\', \'bias_initializer\', \'depthwise_regularizer\', \'pointwise_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'depthwise_constraint\', \'pointwise_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'1\', \'valid\', \'None\', \'1\', \'1\', \'None\', \'True\', \'glorot_uniform\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-conv2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-conv2-d.pbtxt new file mode 100644 index 0000000000..fd17115e27 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-conv2-d.pbtxt @@ -0,0 +1,177 @@ +path: "tensorflow.keras.layers.SeparableConv2D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'depth_multiplier\', \'activation\', \'use_bias\', \'depthwise_initializer\', \'pointwise_initializer\', \'bias_initializer\', \'depthwise_regularizer\', \'pointwise_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'depthwise_constraint\', \'pointwise_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'None\', \'(1, 1)\', \'1\', \'None\', \'True\', \'glorot_uniform\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-convolution1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-convolution1-d.pbtxt new file mode 100644 index 0000000000..4b37a94478 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-convolution1-d.pbtxt @@ -0,0 +1,177 @@ +path: "tensorflow.keras.layers.SeparableConvolution1D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'depth_multiplier\', \'activation\', \'use_bias\', \'depthwise_initializer\', \'pointwise_initializer\', \'bias_initializer\', \'depthwise_regularizer\', \'pointwise_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'depthwise_constraint\', \'pointwise_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'1\', \'valid\', \'None\', \'1\', \'1\', \'None\', \'True\', \'glorot_uniform\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-convolution2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-convolution2-d.pbtxt new file mode 100644 index 0000000000..5bdadca74a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-separable-convolution2-d.pbtxt @@ -0,0 +1,177 @@ +path: "tensorflow.keras.layers.SeparableConvolution2D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'depth_multiplier\', \'activation\', \'use_bias\', \'depthwise_initializer\', \'pointwise_initializer\', \'bias_initializer\', \'depthwise_regularizer\', \'pointwise_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'depthwise_constraint\', \'pointwise_constraint\', \'bias_constraint\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'None\', \'(1, 1)\', \'1\', \'None\', \'True\', \'glorot_uniform\', \'glorot_uniform\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-simple-r-n-n-cell.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-simple-r-n-n-cell.pbtxt new file mode 100644 index 0000000000..9dfda96fc8 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-simple-r-n-n-cell.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.SimpleRNNCell" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.recurrent.SimpleRNNCell\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'units\', \'activation\', \'use_bias\', \'kernel_initializer\', \'recurrent_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'recurrent_regularizer\', \'bias_regularizer\', \'kernel_constraint\', \'recurrent_constraint\', \'bias_constraint\', \'dropout\', \'recurrent_dropout\'], varargs=None, keywords=kwargs, defaults=[\'tanh\', \'True\', \'glorot_uniform\', \'orthogonal\', \'zeros\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'0.0\', \'0.0\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'states\', \'training\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-simple-r-n-n.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-simple-r-n-n.pbtxt new file mode 100644 index 0000000000..7b7684ccd2 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-simple-r-n-n.pbtxt @@ -0,0 +1,244 @@ +path: "tensorflow.keras.layers.SimpleRNN" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.recurrent.SimpleRNN\'>" + is_instance: "<class \'tensorflow.python.keras.layers.recurrent.RNN\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activation" + mtype: "<type \'property\'>" + } + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "bias_constraint" + mtype: "<type \'property\'>" + } + member { + name: "bias_initializer" + mtype: "<type \'property\'>" + } + member { + name: "bias_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dropout" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "kernel_constraint" + mtype: "<type \'property\'>" + } + member { + name: "kernel_initializer" + mtype: "<type \'property\'>" + } + member { + name: "kernel_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "recurrent_constraint" + mtype: "<type \'property\'>" + } + member { + name: "recurrent_dropout" + mtype: "<type \'property\'>" + } + member { + name: "recurrent_initializer" + mtype: "<type \'property\'>" + } + member { + name: "recurrent_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "states" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "units" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "use_bias" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'units\', \'activation\', \'use_bias\', \'kernel_initializer\', \'recurrent_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'recurrent_regularizer\', \'bias_regularizer\', \'activity_regularizer\', 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\'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'mask\', \'training\', \'initial_state\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_initial_state" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "reset_states" + argspec: "args=[\'self\', \'states\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-softmax.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-softmax.pbtxt new file mode 100644 index 0000000000..3b15407fca --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-softmax.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.Softmax" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.advanced_activations.Softmax\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'axis\'], varargs=None, keywords=kwargs, defaults=[\'-1\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-spatial-dropout1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-spatial-dropout1-d.pbtxt new file mode 100644 index 0000000000..6d04415267 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-spatial-dropout1-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.SpatialDropout1D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.core.SpatialDropout1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.core.Dropout\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'rate\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-spatial-dropout2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-spatial-dropout2-d.pbtxt new file mode 100644 index 0000000000..04950654d5 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-spatial-dropout2-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.SpatialDropout2D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.core.SpatialDropout2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.core.Dropout\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'rate\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-spatial-dropout3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-spatial-dropout3-d.pbtxt new file mode 100644 index 0000000000..c424e6dcc8 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-spatial-dropout3-d.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.SpatialDropout3D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.core.SpatialDropout3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.core.Dropout\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'rate\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-stacked-r-n-n-cells.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-stacked-r-n-n-cells.pbtxt new file mode 100644 index 0000000000..1160d2840f --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-stacked-r-n-n-cells.pbtxt @@ -0,0 +1,179 @@ +path: "tensorflow.keras.layers.StackedRNNCells" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.recurrent.StackedRNNCells\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "state_size" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'cells\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'states\', \'constants\'], varargs=None, keywords=kwargs, defaults=[\'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-subtract.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-subtract.pbtxt new file mode 100644 index 0000000000..740a03367b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-subtract.pbtxt @@ -0,0 +1,176 @@ +path: "tensorflow.keras.layers.Subtract" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.merge.Subtract\'>" + is_instance: "<class \'tensorflow.python.keras.layers.merge._Merge\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-thresholded-re-l-u.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-thresholded-re-l-u.pbtxt new file mode 100644 index 0000000000..a08c583adb --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-thresholded-re-l-u.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.ThresholdedReLU" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.advanced_activations.ThresholdedReLU\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'theta\'], varargs=None, keywords=kwargs, defaults=[\'1.0\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'instance\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-time-distributed.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-time-distributed.pbtxt new file mode 100644 index 0000000000..c1294fed0f --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-time-distributed.pbtxt @@ -0,0 +1,180 @@ +path: "tensorflow.keras.layers.TimeDistributed" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.wrappers.TimeDistributed\'>" + is_instance: "<class \'tensorflow.python.keras.layers.wrappers.Wrapper\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'layer\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-up-sampling1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-up-sampling1-d.pbtxt new file mode 100644 index 0000000000..dc401d3ed0 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-up-sampling1-d.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.UpSampling1D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.UpSampling1D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'size\'], varargs=None, keywords=kwargs, defaults=[\'2\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-up-sampling2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-up-sampling2-d.pbtxt new file mode 100644 index 0000000000..4b5165ae97 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-up-sampling2-d.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.UpSampling2D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.UpSampling2D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'size\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(2, 2)\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-up-sampling3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-up-sampling3-d.pbtxt new file mode 100644 index 0000000000..789af15fea --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-up-sampling3-d.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.UpSampling3D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.UpSampling3D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'size\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(2, 2, 2)\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-wrapper.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-wrapper.pbtxt new file mode 100644 index 0000000000..0536a7cee7 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-wrapper.pbtxt @@ -0,0 +1,179 @@ +path: "tensorflow.keras.layers.Wrapper" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.wrappers.Wrapper\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'layer\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-zero-padding1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-zero-padding1-d.pbtxt new file mode 100644 index 0000000000..8915353ec3 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-zero-padding1-d.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.ZeroPadding1D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.ZeroPadding1D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'padding\'], varargs=None, keywords=kwargs, defaults=[\'1\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-zero-padding2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-zero-padding2-d.pbtxt new file mode 100644 index 0000000000..6efb5ef15a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-zero-padding2-d.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.ZeroPadding2D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.ZeroPadding2D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-zero-padding3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-zero-padding3-d.pbtxt new file mode 100644 index 0000000000..4c33c5d0bf --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-zero-padding3-d.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.keras.layers.ZeroPadding3D" +tf_class { + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.ZeroPadding3D\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'padding\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1, 1)\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.pbtxt new file mode 100644 index 0000000000..9d7e5bb8c7 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.layers.pbtxt @@ -0,0 +1,435 @@ +path: "tensorflow.keras.layers" +tf_module { + member { + name: "Activation" + mtype: "<type \'type\'>" + } + member { + name: "ActivityRegularization" + mtype: "<type \'type\'>" + } + member { + name: "Add" + mtype: "<type \'type\'>" + } + member { + name: "AlphaDropout" + mtype: "<type \'type\'>" + } + member { + name: "Average" + mtype: "<type \'type\'>" + } + member { + name: "AveragePooling1D" + mtype: "<type \'type\'>" + } + member { + name: "AveragePooling2D" + mtype: "<type \'type\'>" + } + member { + name: "AveragePooling3D" + mtype: "<type \'type\'>" + } + member { + name: "AvgPool1D" + mtype: "<type \'type\'>" + } + member { + name: "AvgPool2D" + mtype: "<type \'type\'>" + } + member { + name: "AvgPool3D" + mtype: "<type \'type\'>" + } + member { + name: "BatchNormalization" + mtype: "<type \'type\'>" + } + member { + name: "Bidirectional" + mtype: "<type \'type\'>" + } + member { + name: "Concatenate" + mtype: "<type \'type\'>" + } + member { + name: "Conv1D" + mtype: "<type \'type\'>" + } + member { + name: "Conv2D" + mtype: "<type \'type\'>" + } + member { + name: "Conv2DTranspose" + mtype: "<type \'type\'>" + } + member { + name: "Conv3D" + mtype: "<type \'type\'>" + } + member { + name: "Conv3DTranspose" + mtype: "<type \'type\'>" + } + member { + name: "ConvLSTM2D" + mtype: "<type \'type\'>" + } + member { + name: "Convolution1D" + mtype: "<type \'type\'>" + } + member { + name: "Convolution2D" + mtype: "<type \'type\'>" + } + member { + name: "Convolution2DTranspose" + mtype: "<type \'type\'>" + } + member { + name: "Convolution3D" + mtype: "<type \'type\'>" + } + member { + name: "Convolution3DTranspose" + mtype: "<type \'type\'>" + } + member { + name: "Cropping1D" + mtype: "<type \'type\'>" + } + member { + name: "Cropping2D" + mtype: "<type \'type\'>" + } + member { + name: "Cropping3D" + mtype: "<type \'type\'>" + } + member { + name: "CuDNNGRU" + mtype: "<type \'type\'>" + } + member { + name: "CuDNNLSTM" + mtype: "<type \'type\'>" + } + member { + name: "Dense" + mtype: "<type \'type\'>" + } + member { + name: "DepthwiseConv2D" + mtype: "<type \'type\'>" + } + member { + name: "Dot" + mtype: "<type \'type\'>" + } + member { + name: "Dropout" + mtype: "<type \'type\'>" + } + member { + name: "ELU" + mtype: "<type \'type\'>" + } + member { + name: "Embedding" + mtype: "<type \'type\'>" + } + member { + name: "Flatten" + mtype: "<type \'type\'>" + } + member { + name: "GRU" + mtype: "<type \'type\'>" + } + member { + name: "GRUCell" + mtype: "<type \'type\'>" + } + member { + name: "GaussianDropout" + mtype: "<type \'type\'>" + } + member { + name: "GaussianNoise" + mtype: "<type \'type\'>" + } + member { + name: "GlobalAveragePooling1D" + mtype: "<type \'type\'>" + } + member { + name: "GlobalAveragePooling2D" + mtype: "<type \'type\'>" + } + member { + name: "GlobalAveragePooling3D" + mtype: "<type \'type\'>" + } + member { + name: "GlobalAvgPool1D" + mtype: "<type \'type\'>" + } + member { + name: "GlobalAvgPool2D" + mtype: "<type \'type\'>" + } + member { + name: "GlobalAvgPool3D" + mtype: "<type \'type\'>" + } + member { + name: "GlobalMaxPool1D" + mtype: "<type \'type\'>" + } + member { + name: "GlobalMaxPool2D" + mtype: "<type \'type\'>" + } + member { + name: "GlobalMaxPool3D" + mtype: "<type \'type\'>" + } + member { + name: "GlobalMaxPooling1D" + mtype: "<type \'type\'>" + } + member { + name: "GlobalMaxPooling2D" + mtype: "<type \'type\'>" + } + member { + name: "GlobalMaxPooling3D" + mtype: "<type \'type\'>" + } + member { + name: "InputLayer" + mtype: "<type \'type\'>" + } + member { + name: "InputSpec" + mtype: "<type \'type\'>" + } + member { + name: "LSTM" + mtype: "<type \'type\'>" + } + member { + name: "LSTMCell" + mtype: "<type \'type\'>" + } + member { + name: "Lambda" + mtype: "<type \'type\'>" + } + member { + name: "Layer" + mtype: "<type \'type\'>" + } + member { + name: "LeakyReLU" + mtype: "<type \'type\'>" + } + member { + name: "LocallyConnected1D" + mtype: "<type \'type\'>" + } + member { + name: "LocallyConnected2D" + mtype: "<type \'type\'>" + } + member { + name: "Masking" + mtype: "<type \'type\'>" + } + member { + name: "MaxPool1D" + mtype: "<type \'type\'>" + } + member { + name: "MaxPool2D" + mtype: "<type \'type\'>" + } + member { + name: "MaxPool3D" + mtype: "<type \'type\'>" + } + member { + name: "MaxPooling1D" + mtype: "<type \'type\'>" + } + member { + name: "MaxPooling2D" + mtype: "<type \'type\'>" + } + member { + name: "MaxPooling3D" + mtype: "<type \'type\'>" + } + member { + name: "Maximum" + mtype: "<type \'type\'>" + } + member { + name: "Minimum" + mtype: "<type \'type\'>" + } + member { + name: "Multiply" + mtype: "<type \'type\'>" + } + member { + name: "PReLU" + mtype: "<type \'type\'>" + } + member { + name: "Permute" + mtype: "<type \'type\'>" + } + member { + name: "RNN" + mtype: "<type \'type\'>" + } + member { + name: "ReLU" + mtype: "<type \'type\'>" + } + member { + name: "RepeatVector" + mtype: "<type \'type\'>" + } + member { + name: "Reshape" + mtype: "<type \'type\'>" + } + member { + name: "SeparableConv1D" + mtype: "<type \'type\'>" + } + member { + name: "SeparableConv2D" + mtype: "<type \'type\'>" + } + member { + name: "SeparableConvolution1D" + mtype: "<type \'type\'>" + } + member { + name: "SeparableConvolution2D" + mtype: "<type \'type\'>" + } + member { + name: "SimpleRNN" + mtype: "<type \'type\'>" + } + member { + name: "SimpleRNNCell" + mtype: "<type \'type\'>" + } + member { + name: "Softmax" + mtype: "<type \'type\'>" + } + member { + name: "SpatialDropout1D" + mtype: "<type \'type\'>" + } + member { + name: "SpatialDropout2D" + mtype: "<type \'type\'>" + } + member { + name: "SpatialDropout3D" + mtype: "<type \'type\'>" + } + member { + name: "StackedRNNCells" + mtype: "<type \'type\'>" + } + member { + name: "Subtract" + mtype: "<type \'type\'>" + } + member { + name: "ThresholdedReLU" + mtype: "<type \'type\'>" + } + member { + name: "TimeDistributed" + mtype: "<type \'type\'>" + } + member { + name: "UpSampling1D" + mtype: "<type \'type\'>" + } + member { + name: "UpSampling2D" + mtype: "<type \'type\'>" + } + member { + name: "UpSampling3D" + mtype: "<type \'type\'>" + } + member { + name: "Wrapper" + mtype: "<type \'type\'>" + } + member { + name: "ZeroPadding1D" + mtype: "<type \'type\'>" + } + member { + name: "ZeroPadding2D" + mtype: "<type \'type\'>" + } + member { + name: "ZeroPadding3D" + mtype: "<type \'type\'>" + } + member_method { + name: "Input" + argspec: "args=[\'shape\', \'batch_size\', \'name\', \'dtype\', \'sparse\', \'tensor\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'False\', \'None\'], " + } + member_method { + name: "add" + argspec: "args=[\'inputs\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "average" + argspec: "args=[\'inputs\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "concatenate" + argspec: "args=[\'inputs\', \'axis\'], varargs=None, keywords=kwargs, defaults=[\'-1\'], " + } + member_method { + name: "dot" + argspec: "args=[\'inputs\', \'axes\', \'normalize\'], varargs=None, keywords=kwargs, defaults=[\'False\'], " + } + member_method { + name: "maximum" + argspec: "args=[\'inputs\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "minimum" + argspec: "args=[\'inputs\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "multiply" + argspec: "args=[\'inputs\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "subtract" + argspec: "args=[\'inputs\'], varargs=None, keywords=kwargs, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.losses.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.losses.pbtxt new file mode 100644 index 0000000000..eca6b91538 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.losses.pbtxt @@ -0,0 +1,115 @@ +path: "tensorflow.keras.losses" +tf_module { + member_method { + name: "KLD" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "MAE" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "MAPE" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "MSE" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "MSLE" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "binary_crossentropy" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "categorical_crossentropy" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "categorical_hinge" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "cosine" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "cosine_proximity" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "deserialize" + argspec: "args=[\'name\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get" + argspec: "args=[\'identifier\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "hinge" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "kld" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "kullback_leibler_divergence" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "logcosh" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "mae" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "mape" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "mean_absolute_error" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "mean_absolute_percentage_error" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "mean_squared_error" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "mean_squared_logarithmic_error" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "mse" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "msle" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "poisson" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "serialize" + argspec: "args=[\'loss\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "sparse_categorical_crossentropy" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "squared_hinge" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.metrics.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.metrics.pbtxt new file mode 100644 index 0000000000..73b577da37 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.metrics.pbtxt @@ -0,0 +1,123 @@ +path: "tensorflow.keras.metrics" +tf_module { + member_method { + name: "KLD" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "MAE" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "MAPE" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "MSE" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "MSLE" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "binary_accuracy" + argspec: "args=[\'y_true\', \'y_pred\', \'threshold\'], varargs=None, keywords=None, defaults=[\'0.5\'], " + } + member_method { + name: "binary_crossentropy" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "categorical_accuracy" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "categorical_crossentropy" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "cosine" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "cosine_proximity" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "deserialize" + argspec: "args=[\'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get" + argspec: "args=[\'identifier\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "hinge" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "kld" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "kullback_leibler_divergence" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "mae" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "mape" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "mean_absolute_error" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "mean_absolute_percentage_error" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "mean_squared_error" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "mean_squared_logarithmic_error" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "mse" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "msle" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "poisson" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "serialize" + argspec: "args=[\'metric\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "sparse_categorical_crossentropy" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "sparse_top_k_categorical_accuracy" + argspec: "args=[\'y_true\', \'y_pred\', \'k\'], varargs=None, keywords=None, defaults=[\'5\'], " + } + member_method { + name: "squared_hinge" + argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "top_k_categorical_accuracy" + argspec: "args=[\'y_true\', \'y_pred\', \'k\'], varargs=None, keywords=None, defaults=[\'5\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.models.-model.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.models.-model.pbtxt new file mode 100644 index 0000000000..85f7c2bfed --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.models.-model.pbtxt @@ -0,0 +1,268 @@ +path: "tensorflow.keras.models.Model" +tf_class { + is_instance: "<class \'tensorflow.python.keras.engine.training.Model\'>" + is_instance: "<class \'tensorflow.python.keras.engine.network.Network\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "input_spec" + mtype: "<type \'property\'>" + } + member { + name: "layers" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "state_updates" + mtype: "<type \'property\'>" + } + member { + name: "stateful" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "uses_learning_phase" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compile" + argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'verbose\', \'sample_weight\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'1\', \'None\', \'None\'], " + } + member_method { + name: "evaluate_generator" + argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], " + } + member_method { + name: "fit" + argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'epochs\', \'verbose\', \'callbacks\', \'validation_split\', \'validation_data\', \'shuffle\', \'class_weight\', \'sample_weight\', \'initial_epoch\', \'steps_per_epoch\', \'validation_steps\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'1\', \'1\', \'None\', \'0.0\', \'None\', \'True\', \'None\', \'None\', \'0\', \'None\', \'None\'], " + } + member_method { + name: "fit_generator" + argspec: "args=[\'self\', \'generator\', \'steps_per_epoch\', \'epochs\', \'verbose\', \'callbacks\', \'validation_data\', \'validation_steps\', \'class_weight\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'shuffle\', \'initial_epoch\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'1\', \'None\', \'None\', \'None\', \'None\', \'10\', \'1\', \'False\', \'True\', \'0\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_layer" + argspec: "args=[\'self\', \'name\', \'index\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "load_weights" + argspec: "args=[\'self\', \'filepath\', \'by_name\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], " + } + member_method { + name: "predict_generator" + argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], " + } + member_method { + name: "predict_on_batch" + argspec: "args=[\'self\', \'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "reset_states" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "save" + argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'include_optimizer\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], " + } + member_method { + name: "save_weights" + argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'save_format\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], " + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "summary" + argspec: "args=[\'self\', \'line_length\', \'positions\', \'print_fn\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "test_on_batch" + argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "to_json" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "to_yaml" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "train_on_batch" + argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\', \'class_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.models.-sequential.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.models.-sequential.pbtxt new file mode 100644 index 0000000000..6a83129f7d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.models.-sequential.pbtxt @@ -0,0 +1,289 @@ +path: "tensorflow.keras.models.Sequential" +tf_class { + is_instance: "<class \'tensorflow.python.keras.engine.sequential.Sequential\'>" + is_instance: "<class \'tensorflow.python.keras.engine.training.Model\'>" + is_instance: "<class \'tensorflow.python.keras.engine.network.Network\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "input_spec" + mtype: "<type \'property\'>" + } + member { + name: "layers" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "state_updates" + mtype: "<type \'property\'>" + } + member { + name: "stateful" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "uses_learning_phase" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'layers\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "add" + argspec: "args=[\'self\', \'layer\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\', \'getter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compile" + argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "evaluate" + argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'verbose\', \'sample_weight\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'1\', \'None\', \'None\'], " + } + member_method { + name: "evaluate_generator" + argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], " + } + member_method { + name: "fit" + argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'epochs\', \'verbose\', \'callbacks\', \'validation_split\', \'validation_data\', \'shuffle\', \'class_weight\', \'sample_weight\', \'initial_epoch\', \'steps_per_epoch\', \'validation_steps\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'1\', \'1\', \'None\', \'0.0\', \'None\', \'True\', \'None\', \'None\', \'0\', \'None\', \'None\'], " + } + member_method { + name: "fit_generator" + argspec: "args=[\'self\', \'generator\', \'steps_per_epoch\', \'epochs\', \'verbose\', \'callbacks\', \'validation_data\', \'validation_steps\', \'class_weight\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'shuffle\', \'initial_epoch\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'1\', \'None\', \'None\', \'None\', \'None\', \'10\', \'1\', \'False\', \'True\', \'0\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_layer" + argspec: "args=[\'self\', \'name\', \'index\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "load_weights" + argspec: "args=[\'self\', \'filepath\', \'by_name\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "pop" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\', \'steps\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\'], " + } + member_method { + name: "predict_classes" + argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\'], varargs=None, keywords=None, defaults=[\'32\', \'0\'], " + } + member_method { + name: "predict_generator" + argspec: "args=[\'self\', \'generator\', \'steps\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'1\', \'False\', \'0\'], " + } + member_method { + name: "predict_on_batch" + argspec: "args=[\'self\', \'x\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict_proba" + argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\'], varargs=None, keywords=None, defaults=[\'32\', \'0\'], " + } + member_method { + name: "reset_states" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "save" + argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'include_optimizer\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], " + } + member_method { + name: "save_weights" + argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'save_format\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], " + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "summary" + argspec: "args=[\'self\', \'line_length\', \'positions\', \'print_fn\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "symbolic_set_inputs" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "test_on_batch" + argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "to_json" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "to_yaml" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "train_on_batch" + argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\', \'class_weight\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.models.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.models.pbtxt new file mode 100644 index 0000000000..8ba0e7480b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.models.pbtxt @@ -0,0 +1,31 @@ +path: "tensorflow.keras.models" +tf_module { + member { + name: "Model" + mtype: "<type \'type\'>" + } + member { + name: "Sequential" + mtype: "<type \'type\'>" + } + member_method { + name: "load_model" + argspec: "args=[\'filepath\', \'custom_objects\', \'compile\'], varargs=None, keywords=None, defaults=[\'None\', \'True\'], " + } + member_method { + name: "model_from_config" + argspec: "args=[\'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "model_from_json" + argspec: "args=[\'json_string\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "model_from_yaml" + argspec: "args=[\'yaml_string\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "save_model" + argspec: "args=[\'model\', \'filepath\', \'overwrite\', \'include_optimizer\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adadelta.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adadelta.pbtxt new file mode 100644 index 0000000000..b9ce154bdd --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adadelta.pbtxt @@ -0,0 +1,34 @@ +path: "tensorflow.keras.optimizers.Adadelta" +tf_class { + is_instance: "<class \'tensorflow.python.keras.optimizers.Adadelta\'>" + is_instance: "<class \'tensorflow.python.keras.optimizers.Optimizer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'lr\', \'rho\', \'epsilon\', \'decay\'], varargs=None, keywords=kwargs, defaults=[\'1.0\', \'0.95\', \'None\', \'0.0\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_gradients" + argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates" + argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adagrad.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adagrad.pbtxt new file mode 100644 index 0000000000..d0dc9e37a3 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adagrad.pbtxt @@ -0,0 +1,34 @@ +path: "tensorflow.keras.optimizers.Adagrad" +tf_class { + is_instance: "<class \'tensorflow.python.keras.optimizers.Adagrad\'>" + is_instance: "<class \'tensorflow.python.keras.optimizers.Optimizer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'lr\', \'epsilon\', \'decay\'], varargs=None, keywords=kwargs, defaults=[\'0.01\', \'None\', \'0.0\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_gradients" + argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates" + argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adam.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adam.pbtxt new file mode 100644 index 0000000000..06815fa99a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adam.pbtxt @@ -0,0 +1,34 @@ +path: "tensorflow.keras.optimizers.Adam" +tf_class { + is_instance: "<class \'tensorflow.python.keras.optimizers.Adam\'>" + is_instance: "<class \'tensorflow.python.keras.optimizers.Optimizer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'lr\', \'beta_1\', \'beta_2\', \'epsilon\', \'decay\', \'amsgrad\'], varargs=None, keywords=kwargs, defaults=[\'0.001\', \'0.9\', \'0.999\', \'None\', \'0.0\', \'False\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_gradients" + argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates" + argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adamax.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adamax.pbtxt new file mode 100644 index 0000000000..47b55fdb44 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-adamax.pbtxt @@ -0,0 +1,34 @@ +path: "tensorflow.keras.optimizers.Adamax" +tf_class { + is_instance: "<class \'tensorflow.python.keras.optimizers.Adamax\'>" + is_instance: "<class \'tensorflow.python.keras.optimizers.Optimizer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'lr\', \'beta_1\', \'beta_2\', \'epsilon\', \'decay\'], varargs=None, keywords=kwargs, defaults=[\'0.002\', \'0.9\', \'0.999\', \'None\', \'0.0\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_gradients" + argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates" + argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-nadam.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-nadam.pbtxt new file mode 100644 index 0000000000..8c63a7dda9 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-nadam.pbtxt @@ -0,0 +1,34 @@ +path: "tensorflow.keras.optimizers.Nadam" +tf_class { + is_instance: "<class \'tensorflow.python.keras.optimizers.Nadam\'>" + is_instance: "<class \'tensorflow.python.keras.optimizers.Optimizer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'lr\', \'beta_1\', \'beta_2\', \'epsilon\', \'schedule_decay\'], varargs=None, keywords=kwargs, defaults=[\'0.002\', \'0.9\', \'0.999\', \'None\', \'0.004\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_gradients" + argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates" + argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-optimizer.pbtxt new file mode 100644 index 0000000000..53d64dae93 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-optimizer.pbtxt @@ -0,0 +1,33 @@ +path: "tensorflow.keras.optimizers.Optimizer" +tf_class { + is_instance: "<class \'tensorflow.python.keras.optimizers.Optimizer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_gradients" + argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates" + argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-r-m-sprop.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-r-m-sprop.pbtxt new file mode 100644 index 0000000000..a1e9b8cceb --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-r-m-sprop.pbtxt @@ -0,0 +1,34 @@ +path: "tensorflow.keras.optimizers.RMSprop" +tf_class { + is_instance: "<class \'tensorflow.python.keras.optimizers.RMSprop\'>" + is_instance: "<class \'tensorflow.python.keras.optimizers.Optimizer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'lr\', \'rho\', \'epsilon\', \'decay\'], varargs=None, keywords=kwargs, defaults=[\'0.001\', \'0.9\', \'None\', \'0.0\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_gradients" + argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates" + argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-s-g-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-s-g-d.pbtxt new file mode 100644 index 0000000000..a67fefb1ba --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.-s-g-d.pbtxt @@ -0,0 +1,34 @@ +path: "tensorflow.keras.optimizers.SGD" +tf_class { + is_instance: "<class \'tensorflow.python.keras.optimizers.SGD\'>" + is_instance: "<class \'tensorflow.python.keras.optimizers.Optimizer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'lr\', \'momentum\', \'decay\', \'nesterov\'], varargs=None, keywords=kwargs, defaults=[\'0.01\', \'0.0\', \'0.0\', \'False\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_gradients" + argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates" + argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.pbtxt new file mode 100644 index 0000000000..7257b02087 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.optimizers.pbtxt @@ -0,0 +1,47 @@ +path: "tensorflow.keras.optimizers" +tf_module { + member { + name: "Adadelta" + mtype: "<type \'type\'>" + } + member { + name: "Adagrad" + mtype: "<type \'type\'>" + } + member { + name: "Adam" + mtype: "<type \'type\'>" + } + member { + name: "Adamax" + mtype: "<type \'type\'>" + } + member { + name: "Nadam" + mtype: "<type \'type\'>" + } + member { + name: "Optimizer" + mtype: "<type \'type\'>" + } + member { + name: "RMSprop" + mtype: "<type \'type\'>" + } + member { + name: "SGD" + mtype: "<type \'type\'>" + } + member_method { + name: "deserialize" + argspec: "args=[\'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get" + argspec: "args=[\'identifier\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "serialize" + argspec: "args=[\'optimizer\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.pbtxt new file mode 100644 index 0000000000..754b3b84b0 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.pbtxt @@ -0,0 +1,83 @@ +path: "tensorflow.keras" +tf_module { + member { + name: "Model" + mtype: "<type \'type\'>" + } + member { + name: "Sequential" + mtype: "<type \'type\'>" + } + member { + name: "activations" + mtype: "<type \'module\'>" + } + member { + name: "applications" + mtype: "<type \'module\'>" + } + member { + name: "backend" + mtype: "<type \'module\'>" + } + member { + name: "callbacks" + mtype: "<type \'module\'>" + } + member { + name: "constraints" + mtype: "<type \'module\'>" + } + member { + name: "datasets" + mtype: "<type \'module\'>" + } + member { + name: "estimator" + mtype: "<type \'module\'>" + } + member { + name: "initializers" + mtype: "<type \'module\'>" + } + member { + name: "layers" + mtype: "<type \'module\'>" + } + member { + name: "losses" + mtype: "<type \'module\'>" + } + member { + name: "metrics" + mtype: "<type \'module\'>" + } + member { + name: "models" + mtype: "<type \'module\'>" + } + member { + name: "optimizers" + mtype: "<type \'module\'>" + } + member { + name: "preprocessing" + mtype: "<type \'module\'>" + } + member { + name: "regularizers" + mtype: "<type \'module\'>" + } + member { + name: "utils" + mtype: "<type \'module\'>" + } + member { + name: "wrappers" + mtype: "<type \'module\'>" + } + member_method { + name: "Input" + argspec: "args=[\'shape\', \'batch_size\', \'name\', \'dtype\', \'sparse\', \'tensor\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'False\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.image.-directory-iterator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-directory-iterator.pbtxt index dddace87dc..dddace87dc 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.image.-directory-iterator.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-directory-iterator.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.image.-image-data-generator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-image-data-generator.pbtxt index c1e2e94f0b..c1e2e94f0b 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.image.-image-data-generator.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-image-data-generator.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.image.-iterator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-iterator.pbtxt index 825d9f1d1d..825d9f1d1d 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.image.-iterator.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-iterator.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.image.-numpy-array-iterator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-numpy-array-iterator.pbtxt index 75924a254a..75924a254a 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.image.-numpy-array-iterator.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.-numpy-array-iterator.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.image.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.pbtxt index 6b850dd6b7..6b850dd6b7 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.image.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.image.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.pbtxt index 5a78581fc5..5a78581fc5 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.sequence.-timeseries-generator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.sequence.-timeseries-generator.pbtxt index 326b1fa4fd..326b1fa4fd 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.sequence.-timeseries-generator.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.sequence.-timeseries-generator.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.sequence.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.sequence.pbtxt index cf59f8a272..cf59f8a272 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.sequence.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.sequence.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.text.-tokenizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.text.-tokenizer.pbtxt index b42b12b6c0..b42b12b6c0 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.text.-tokenizer.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.text.-tokenizer.pbtxt diff --git a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.text.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.text.pbtxt index 50b54fc7e1..50b54fc7e1 100644 --- a/tensorflow/tools/api/golden/tensorflow.keras.preprocessing.text.pbtxt +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.preprocessing.text.pbtxt diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.regularizers.-l1-l2.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.regularizers.-l1-l2.pbtxt new file mode 100644 index 0000000000..a45fb7b55e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.regularizers.-l1-l2.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.keras.regularizers.L1L2" +tf_class { + is_instance: "<class \'tensorflow.python.keras.regularizers.L1L2\'>" + is_instance: "<class \'tensorflow.python.keras.regularizers.Regularizer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'l1\', \'l2\'], varargs=None, keywords=None, defaults=[\'0.0\', \'0.0\'], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.regularizers.-regularizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.regularizers.-regularizer.pbtxt new file mode 100644 index 0000000000..641001a646 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.regularizers.-regularizer.pbtxt @@ -0,0 +1,12 @@ +path: "tensorflow.keras.regularizers.Regularizer" +tf_class { + is_instance: "<class \'tensorflow.python.keras.regularizers.Regularizer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.regularizers.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.regularizers.pbtxt new file mode 100644 index 0000000000..bb10d41d70 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.regularizers.pbtxt @@ -0,0 +1,35 @@ +path: "tensorflow.keras.regularizers" +tf_module { + member { + name: "L1L2" + mtype: "<type \'type\'>" + } + member { + name: "Regularizer" + mtype: "<type \'type\'>" + } + member_method { + name: "deserialize" + argspec: "args=[\'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get" + argspec: "args=[\'identifier\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "l1" + argspec: "args=[\'l\'], varargs=None, keywords=None, defaults=[\'0.01\'], " + } + member_method { + name: "l1_l2" + argspec: "args=[\'l1\', \'l2\'], varargs=None, keywords=None, defaults=[\'0.01\', \'0.01\'], " + } + member_method { + name: "l2" + argspec: "args=[\'l\'], varargs=None, keywords=None, defaults=[\'0.01\'], " + } + member_method { + name: "serialize" + argspec: "args=[\'regularizer\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-custom-object-scope.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-custom-object-scope.pbtxt new file mode 100644 index 0000000000..109682046b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-custom-object-scope.pbtxt @@ -0,0 +1,9 @@ +path: "tensorflow.keras.utils.CustomObjectScope" +tf_class { + is_instance: "<class \'tensorflow.python.keras.utils.generic_utils.CustomObjectScope\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=args, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-generator-enqueuer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-generator-enqueuer.pbtxt new file mode 100644 index 0000000000..939fd547d0 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-generator-enqueuer.pbtxt @@ -0,0 +1,26 @@ +path: "tensorflow.keras.utils.GeneratorEnqueuer" +tf_class { + is_instance: "<class \'tensorflow.python.keras.utils.data_utils.GeneratorEnqueuer\'>" + is_instance: "<class \'tensorflow.python.keras.utils.data_utils.SequenceEnqueuer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'generator\', \'use_multiprocessing\', \'wait_time\', \'seed\'], varargs=None, keywords=None, defaults=[\'False\', \'0.05\', \'None\'], " + } + member_method { + name: "get" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "is_running" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "start" + argspec: "args=[\'self\', \'workers\', \'max_queue_size\'], varargs=None, keywords=None, defaults=[\'1\', \'10\'], " + } + member_method { + name: "stop" + argspec: "args=[\'self\', \'timeout\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-h-d-f5-matrix.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-h-d-f5-matrix.pbtxt new file mode 100644 index 0000000000..6b832051a9 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-h-d-f5-matrix.pbtxt @@ -0,0 +1,29 @@ +path: "tensorflow.keras.utils.HDF5Matrix" +tf_class { + is_instance: "<class \'tensorflow.python.keras.utils.io_utils.HDF5Matrix\'>" + is_instance: "<type \'object\'>" + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "ndim" + mtype: "<type \'property\'>" + } + member { + name: "refs" + mtype: "<type \'collections.defaultdict\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member { + name: "size" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'datapath\', \'dataset\', \'start\', \'end\', \'normalizer\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-progbar.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-progbar.pbtxt new file mode 100644 index 0000000000..be4496e753 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-progbar.pbtxt @@ -0,0 +1,17 @@ +path: "tensorflow.keras.utils.Progbar" +tf_class { + is_instance: "<class \'tensorflow.python.keras.utils.generic_utils.Progbar\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'target\', \'width\', \'verbose\', \'interval\', \'stateful_metrics\'], varargs=None, keywords=None, defaults=[\'30\', \'1\', \'0.05\', \'None\'], " + } + member_method { + name: "add" + argspec: "args=[\'self\', \'n\', \'values\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "update" + argspec: "args=[\'self\', \'current\', \'values\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-sequence-enqueuer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-sequence-enqueuer.pbtxt new file mode 100644 index 0000000000..a9e499d100 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-sequence-enqueuer.pbtxt @@ -0,0 +1,24 @@ +path: "tensorflow.keras.utils.SequenceEnqueuer" +tf_class { + is_instance: "<class \'tensorflow.python.keras.utils.data_utils.SequenceEnqueuer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + } + member_method { + name: "get" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "is_running" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "start" + argspec: "args=[\'self\', \'workers\', \'max_queue_size\'], varargs=None, keywords=None, defaults=[\'1\', \'10\'], " + } + member_method { + name: "stop" + argspec: "args=[\'self\', \'timeout\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-sequence.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-sequence.pbtxt new file mode 100644 index 0000000000..e2dc932dc8 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.-sequence.pbtxt @@ -0,0 +1,12 @@ +path: "tensorflow.keras.utils.Sequence" +tf_class { + is_instance: "<class \'tensorflow.python.keras.utils.data_utils.Sequence\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + } + member_method { + name: "on_epoch_end" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.pbtxt new file mode 100644 index 0000000000..4d7a1519ce --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.utils.pbtxt @@ -0,0 +1,67 @@ +path: "tensorflow.keras.utils" +tf_module { + member { + name: "CustomObjectScope" + mtype: "<type \'type\'>" + } + member { + name: "GeneratorEnqueuer" + mtype: "<type \'type\'>" + } + member { + name: "HDF5Matrix" + mtype: "<type \'type\'>" + } + member { + name: "Progbar" + mtype: "<type \'type\'>" + } + member { + name: "Sequence" + mtype: "<type \'type\'>" + } + member { + name: "SequenceEnqueuer" + mtype: "<type \'type\'>" + } + member_method { + name: "convert_all_kernels_in_model" + argspec: "args=[\'model\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "custom_object_scope" + argspec: "args=[], varargs=args, keywords=None, defaults=None" + } + member_method { + name: "deserialize_keras_object" + argspec: "args=[\'identifier\', \'module_objects\', \'custom_objects\', \'printable_module_name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'object\'], " + } + member_method { + name: "get_custom_objects" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_file" + argspec: "args=[\'fname\', \'origin\', \'untar\', \'md5_hash\', \'file_hash\', \'cache_subdir\', \'hash_algorithm\', \'extract\', \'archive_format\', \'cache_dir\'], varargs=None, keywords=None, defaults=[\'False\', \'None\', \'None\', \'datasets\', \'auto\', \'False\', \'auto\', \'None\'], " + } + member_method { + name: "multi_gpu_model" + argspec: "args=[\'model\', \'gpus\', \'cpu_merge\', \'cpu_relocation\'], varargs=None, keywords=None, defaults=[\'True\', \'False\'], " + } + member_method { + name: "normalize" + argspec: "args=[\'x\', \'axis\', \'order\'], varargs=None, keywords=None, defaults=[\'-1\', \'2\'], " + } + member_method { + name: "plot_model" + argspec: "args=[\'model\', \'to_file\', \'show_shapes\', \'show_layer_names\', \'rankdir\'], varargs=None, keywords=None, defaults=[\'model.png\', \'False\', \'True\', \'TB\'], " + } + member_method { + name: "serialize_keras_object" + argspec: "args=[\'instance\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "to_categorical" + argspec: "args=[\'y\', \'num_classes\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.pbtxt new file mode 100644 index 0000000000..0b2fac9b7d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.pbtxt @@ -0,0 +1,7 @@ +path: "tensorflow.keras.wrappers" +tf_module { + member { + name: "scikit_learn" + mtype: "<type \'module\'>" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.scikit_learn.-keras-classifier.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.scikit_learn.-keras-classifier.pbtxt new file mode 100644 index 0000000000..67cca3af41 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.scikit_learn.-keras-classifier.pbtxt @@ -0,0 +1,42 @@ +path: "tensorflow.keras.wrappers.scikit_learn.KerasClassifier" +tf_class { + is_instance: "<class \'tensorflow.python.keras.wrappers.scikit_learn.KerasClassifier\'>" + is_instance: "<class \'tensorflow.python.keras.wrappers.scikit_learn.BaseWrapper\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'build_fn\'], varargs=None, keywords=sk_params, defaults=[\'None\'], " + } + member_method { + name: "check_params" + argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "filter_sk_params" + argspec: "args=[\'self\', \'fn\', \'override\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "fit" + argspec: "args=[\'self\', \'x\', \'y\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "get_params" + argspec: "args=[\'self\'], varargs=None, keywords=params, defaults=None" + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'x\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "predict_proba" + argspec: "args=[\'self\', \'x\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "score" + argspec: "args=[\'self\', \'x\', \'y\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "set_params" + argspec: "args=[\'self\'], varargs=None, keywords=params, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.scikit_learn.-keras-regressor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.scikit_learn.-keras-regressor.pbtxt new file mode 100644 index 0000000000..f4b9b7e277 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.scikit_learn.-keras-regressor.pbtxt @@ -0,0 +1,38 @@ +path: "tensorflow.keras.wrappers.scikit_learn.KerasRegressor" +tf_class { + is_instance: "<class \'tensorflow.python.keras.wrappers.scikit_learn.KerasRegressor\'>" + is_instance: "<class \'tensorflow.python.keras.wrappers.scikit_learn.BaseWrapper\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'build_fn\'], varargs=None, keywords=sk_params, defaults=[\'None\'], " + } + member_method { + name: "check_params" + argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "filter_sk_params" + argspec: "args=[\'self\', \'fn\', \'override\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "fit" + argspec: "args=[\'self\', \'x\', \'y\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "get_params" + argspec: "args=[\'self\'], varargs=None, keywords=params, defaults=None" + } + member_method { + name: "predict" + argspec: "args=[\'self\', \'x\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "score" + argspec: "args=[\'self\', \'x\', \'y\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "set_params" + argspec: "args=[\'self\'], varargs=None, keywords=params, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.scikit_learn.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.scikit_learn.pbtxt new file mode 100644 index 0000000000..fbd4d13387 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.keras.wrappers.scikit_learn.pbtxt @@ -0,0 +1,11 @@ +path: "tensorflow.keras.wrappers.scikit_learn" +tf_module { + member { + name: "KerasClassifier" + mtype: "<type \'type\'>" + } + member { + name: "KerasRegressor" + mtype: "<type \'type\'>" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-average-pooling1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-average-pooling1-d.pbtxt new file mode 100644 index 0000000000..c82e67526b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-average-pooling1-d.pbtxt @@ -0,0 +1,186 @@ +path: "tensorflow.layers.AveragePooling1D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.pooling.AveragePooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.AveragePooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling1D\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'valid\', \'channels_last\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-average-pooling2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-average-pooling2-d.pbtxt new file mode 100644 index 0000000000..1d031cb5f8 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-average-pooling2-d.pbtxt @@ -0,0 +1,186 @@ +path: "tensorflow.layers.AveragePooling2D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.pooling.AveragePooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.AveragePooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling2D\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'valid\', \'channels_last\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-average-pooling3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-average-pooling3-d.pbtxt new file mode 100644 index 0000000000..a8dda6655d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-average-pooling3-d.pbtxt @@ -0,0 +1,186 @@ +path: "tensorflow.layers.AveragePooling3D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.pooling.AveragePooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.AveragePooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling3D\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'valid\', \'channels_last\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-batch-normalization.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-batch-normalization.pbtxt new file mode 100644 index 0000000000..97f65ed894 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-batch-normalization.pbtxt @@ -0,0 +1,185 @@ +path: "tensorflow.layers.BatchNormalization" +tf_class { + is_instance: "<class \'tensorflow.python.layers.normalization.BatchNormalization\'>" + is_instance: "<class \'tensorflow.python.keras.layers.normalization.BatchNormalization\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'axis\', \'momentum\', \'epsilon\', \'center\', \'scale\', \'beta_initializer\', \'gamma_initializer\', \'moving_mean_initializer\', \'moving_variance_initializer\', \'beta_regularizer\', \'gamma_regularizer\', \'beta_constraint\', \'gamma_constraint\', \'renorm\', \'renorm_clipping\', \'renorm_momentum\', \'fused\', \'trainable\', \'virtual_batch_size\', \'adjustment\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'-1\', \'0.99\', \'0.001\', \'True\', \'True\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'<tensorflow.python.ops.init_ops.Ones object instance>\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'<tensorflow.python.ops.init_ops.Ones object instance>\', \'None\', \'None\', \'None\', \'None\', \'False\', \'None\', \'0.99\', \'None\', \'True\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv1-d.pbtxt new file mode 100644 index 0000000000..ccd9578f0d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv1-d.pbtxt @@ -0,0 +1,186 @@ +path: "tensorflow.layers.Conv1D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.convolutional.Conv1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'1\', \'valid\', \'channels_last\', \'1\', \'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv2-d-transpose.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv2-d-transpose.pbtxt new file mode 100644 index 0000000000..9cbb58d721 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv2-d-transpose.pbtxt @@ -0,0 +1,187 @@ +path: "tensorflow.layers.Conv2DTranspose" +tf_class { + is_instance: "<class \'tensorflow.python.layers.convolutional.Conv2DTranspose\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2DTranspose\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\'], varargs=None, 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\'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv2-d.pbtxt new file mode 100644 index 0000000000..c75ea3911e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv2-d.pbtxt @@ -0,0 +1,186 @@ +path: "tensorflow.layers.Conv2D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.convolutional.Conv2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'channels_last\', \'(1, 1)\', \'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv3-d-transpose.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv3-d-transpose.pbtxt new file mode 100644 index 0000000000..5dc834e514 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv3-d-transpose.pbtxt @@ -0,0 +1,187 @@ +path: "tensorflow.layers.Conv3DTranspose" +tf_class { + is_instance: "<class \'tensorflow.python.layers.convolutional.Conv3DTranspose\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3DTranspose\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1, 1)\', \'valid\', \'channels_last\', \'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv3-d.pbtxt new file mode 100644 index 0000000000..96ab209874 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-conv3-d.pbtxt @@ -0,0 +1,186 @@ +path: "tensorflow.layers.Conv3D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.convolutional.Conv3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1, 1)\', \'valid\', \'channels_last\', \'(1, 1, 1)\', \'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-dense.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-dense.pbtxt new file mode 100644 index 0000000000..7e9656b352 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-dense.pbtxt @@ -0,0 +1,185 @@ +path: "tensorflow.layers.Dense" +tf_class { + is_instance: "<class \'tensorflow.python.layers.core.Dense\'>" + is_instance: "<class \'tensorflow.python.keras.layers.core.Dense\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'units\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-dropout.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-dropout.pbtxt new file mode 100644 index 0000000000..e9a2269a6e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-dropout.pbtxt @@ -0,0 +1,185 @@ +path: "tensorflow.layers.Dropout" +tf_class { + is_instance: "<class \'tensorflow.python.layers.core.Dropout\'>" + is_instance: "<class \'tensorflow.python.keras.layers.core.Dropout\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'rate\', \'noise_shape\', \'seed\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'0.5\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-flatten.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-flatten.pbtxt new file mode 100644 index 0000000000..7d2eaaab2a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-flatten.pbtxt @@ -0,0 +1,185 @@ +path: "tensorflow.layers.Flatten" +tf_class { + is_instance: "<class \'tensorflow.python.layers.core.Flatten\'>" + is_instance: "<class \'tensorflow.python.keras.layers.core.Flatten\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'data_format\'], varargs=None, keywords=kwargs, defaults=[\'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-input-spec.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-input-spec.pbtxt new file mode 100644 index 0000000000..fd02c919ae --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-input-spec.pbtxt @@ -0,0 +1,9 @@ +path: "tensorflow.layers.InputSpec" +tf_class { + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.InputSpec\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dtype\', \'shape\', \'ndim\', \'max_ndim\', \'min_ndim\', \'axes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-layer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-layer.pbtxt new file mode 100644 index 0000000000..8bc3eb26e9 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-layer.pbtxt @@ -0,0 +1,183 @@ +path: "tensorflow.layers.Layer" +tf_class { + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'trainable\', \'name\', \'dtype\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-max-pooling1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-max-pooling1-d.pbtxt new file mode 100644 index 0000000000..6a0dcce56a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-max-pooling1-d.pbtxt @@ -0,0 +1,186 @@ +path: "tensorflow.layers.MaxPooling1D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.pooling.MaxPooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.MaxPooling1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling1D\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'valid\', \'channels_last\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-max-pooling2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-max-pooling2-d.pbtxt new file mode 100644 index 0000000000..b6c84edf2a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-max-pooling2-d.pbtxt @@ -0,0 +1,186 @@ +path: "tensorflow.layers.MaxPooling2D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.pooling.MaxPooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.MaxPooling2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling2D\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'valid\', \'channels_last\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-max-pooling3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-max-pooling3-d.pbtxt new file mode 100644 index 0000000000..062a02fa59 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-max-pooling3-d.pbtxt @@ -0,0 +1,186 @@ +path: "tensorflow.layers.MaxPooling3D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.pooling.MaxPooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.MaxPooling3D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.pooling.Pooling3D\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'valid\', \'channels_last\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-separable-conv1-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-separable-conv1-d.pbtxt new file mode 100644 index 0000000000..eaad0fb23e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-separable-conv1-d.pbtxt @@ -0,0 +1,187 @@ +path: "tensorflow.layers.SeparableConv1D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.convolutional.SeparableConv1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv1D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'depth_multiplier\', \'activation\', \'use_bias\', \'depthwise_initializer\', \'pointwise_initializer\', \'bias_initializer\', \'depthwise_regularizer\', \'pointwise_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'depthwise_constraint\', \'pointwise_constraint\', \'bias_constraint\', \'trainable\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'1\', \'valid\', \'channels_last\', \'1\', \'1\', \'None\', \'True\', \'None\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.-separable-conv2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.-separable-conv2-d.pbtxt new file mode 100644 index 0000000000..ece28a8ce9 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.-separable-conv2-d.pbtxt @@ -0,0 +1,187 @@ +path: "tensorflow.layers.SeparableConv2D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.convolutional.SeparableConv2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv2D\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.SeparableConv\'>" + is_instance: "<class \'tensorflow.python.keras.layers.convolutional.Conv\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'depth_multiplier\', \'activation\', \'use_bias\', \'depthwise_initializer\', \'pointwise_initializer\', \'bias_initializer\', \'depthwise_regularizer\', \'pointwise_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'depthwise_constraint\', \'pointwise_constraint\', \'bias_constraint\', \'trainable\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', 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\'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.layers.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.layers.pbtxt new file mode 100644 index 0000000000..df74c32e1f --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.layers.pbtxt @@ -0,0 +1,147 @@ +path: "tensorflow.layers" +tf_module { + member { + name: "AveragePooling1D" + mtype: "<type \'type\'>" + } + member { + name: "AveragePooling2D" + mtype: "<type \'type\'>" + } + member { + name: "AveragePooling3D" + mtype: "<type \'type\'>" + } + member { + name: "BatchNormalization" + mtype: "<type \'type\'>" + } + member { + name: "Conv1D" + mtype: "<type \'type\'>" + } + member { + name: "Conv2D" + mtype: "<type \'type\'>" + } + member { + name: "Conv2DTranspose" + mtype: "<type \'type\'>" + } + member { + name: "Conv3D" + mtype: "<type \'type\'>" + } + member { + name: "Conv3DTranspose" + mtype: "<type \'type\'>" + } + member { + name: "Dense" + mtype: "<type \'type\'>" + } + member { + name: "Dropout" + mtype: "<type \'type\'>" + } + member { + name: "Flatten" + mtype: "<type \'type\'>" + } + member { + name: "InputSpec" + mtype: "<type \'type\'>" + } + member { + name: "Layer" + mtype: "<type \'type\'>" + } + member { + name: "MaxPooling1D" + mtype: "<type \'type\'>" + } + member { + name: "MaxPooling2D" + mtype: "<type \'type\'>" + } + member { + name: "MaxPooling3D" + mtype: "<type \'type\'>" + } + member { + name: "SeparableConv1D" + mtype: "<type \'type\'>" + } + member { + name: "SeparableConv2D" + mtype: "<type \'type\'>" + } + member_method { + name: "average_pooling1d" + argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'valid\', \'channels_last\', \'None\'], " + } + member_method { + name: "average_pooling2d" + argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'valid\', \'channels_last\', \'None\'], " + } + member_method { + name: "average_pooling3d" + argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'valid\', \'channels_last\', \'None\'], " + } + member_method { + name: "batch_normalization" + argspec: "args=[\'inputs\', \'axis\', \'momentum\', \'epsilon\', \'center\', \'scale\', \'beta_initializer\', \'gamma_initializer\', \'moving_mean_initializer\', \'moving_variance_initializer\', \'beta_regularizer\', \'gamma_regularizer\', 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\'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'1\', \'valid\', \'channels_last\', \'1\', \'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], " + } + member_method { + name: "conv2d" + argspec: "args=[\'inputs\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'(1, 1)\', \'valid\', \'channels_last\', \'(1, 1)\', \'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], " + } + member_method { + name: "conv2d_transpose" + argspec: "args=[\'inputs\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'(1, 1)\', \'valid\', \'channels_last\', \'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], " + } + member_method { + name: "conv3d" + argspec: "args=[\'inputs\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'(1, 1, 1)\', \'valid\', \'channels_last\', \'(1, 1, 1)\', \'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], " + } + member_method { + name: "conv3d_transpose" + argspec: "args=[\'inputs\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'(1, 1, 1)\', \'valid\', \'channels_last\', \'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], " + } + member_method { + name: "dense" + argspec: "args=[\'inputs\', \'units\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], " + } + member_method { + name: "dropout" + argspec: "args=[\'inputs\', \'rate\', \'noise_shape\', \'seed\', \'training\', \'name\'], varargs=None, keywords=None, defaults=[\'0.5\', \'None\', \'None\', \'False\', \'None\'], " + } + member_method { + name: "flatten" + argspec: "args=[\'inputs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "max_pooling1d" + argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'valid\', \'channels_last\', \'None\'], " + } + member_method { + name: "max_pooling2d" + argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'valid\', \'channels_last\', \'None\'], " + } + member_method { + name: "max_pooling3d" + argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'valid\', \'channels_last\', \'None\'], " + } + member_method { + name: "separable_conv1d" + argspec: "args=[\'inputs\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'depth_multiplier\', \'activation\', \'use_bias\', \'depthwise_initializer\', \'pointwise_initializer\', \'bias_initializer\', \'depthwise_regularizer\', \'pointwise_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'depthwise_constraint\', \'pointwise_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'1\', \'valid\', \'channels_last\', \'1\', \'1\', \'None\', \'True\', \'None\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], " + } + member_method { + name: "separable_conv2d" + argspec: "args=[\'inputs\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'depth_multiplier\', \'activation\', \'use_bias\', \'depthwise_initializer\', \'pointwise_initializer\', \'bias_initializer\', \'depthwise_regularizer\', \'pointwise_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'depthwise_constraint\', \'pointwise_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'(1, 1)\', \'valid\', \'channels_last\', \'(1, 1)\', \'1\', \'None\', \'True\', \'None\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-block-diag.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-block-diag.__metaclass__.pbtxt new file mode 100644 index 0000000000..b6dee63176 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-block-diag.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.linalg.LinearOperatorBlockDiag.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-block-diag.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-block-diag.pbtxt new file mode 100644 index 0000000000..973705dae2 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-block-diag.pbtxt @@ -0,0 +1,134 @@ +path: "tensorflow.linalg.LinearOperatorBlockDiag" +tf_class { + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_block_diag.LinearOperatorBlockDiag\'>" + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>" + is_instance: "<type \'object\'>" + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "domain_dimension" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph_parents" + mtype: "<type \'property\'>" + } + member { + name: "is_non_singular" + mtype: "<type \'property\'>" + } + member { + name: "is_positive_definite" + mtype: "<type \'property\'>" + } + member { + name: "is_self_adjoint" + mtype: "<type \'property\'>" + } + member { + name: "is_square" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "operators" + mtype: "<type \'property\'>" + } + member { + name: "range_dimension" + mtype: "<type \'property\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member { + name: "tensor_rank" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'operators\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_to_tensor" + argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], " + } + member_method { + name: "assert_non_singular" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], " + } + member_method { + name: "assert_positive_definite" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], " + } + member_method { + name: "assert_self_adjoint" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], " + } + member_method { + name: "diag_part" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], " + } + member_method { + name: "domain_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], " + } + member_method { + name: "log_abs_determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], " + } + member_method { + name: "matmul" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], " + } + member_method { + name: "matvec" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], " + } + member_method { + name: "range_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], " + } + member_method { + name: "shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], " + } + member_method { + name: "solve" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], " + } + member_method { + name: "solvevec" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], " + } + member_method { + name: "tensor_rank_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], " + } + member_method { + name: "to_dense" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], " + } + member_method { + name: "trace" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant.__metaclass__.pbtxt new file mode 100644 index 0000000000..3b33f3da97 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.linalg.LinearOperatorCirculant.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant.pbtxt new file mode 100644 index 0000000000..de917706d5 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant.pbtxt @@ -0,0 +1,155 @@ +path: "tensorflow.linalg.LinearOperatorCirculant" +tf_class { + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_circulant.LinearOperatorCirculant\'>" + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_circulant._BaseLinearOperatorCirculant\'>" + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>" + is_instance: "<type \'object\'>" + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "block_depth" + mtype: "<type \'property\'>" + } + member { + name: "block_shape" + mtype: "<type \'property\'>" + } + member { + name: "domain_dimension" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph_parents" + mtype: "<type \'property\'>" + } + member { + name: "is_non_singular" + mtype: "<type \'property\'>" + } + member { + name: "is_positive_definite" + mtype: "<type \'property\'>" + } + member { + name: "is_self_adjoint" + mtype: "<type \'property\'>" + } + member { + name: "is_square" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "range_dimension" + mtype: "<type \'property\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member { + name: "spectrum" + mtype: "<type \'property\'>" + } + member { + name: "tensor_rank" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'spectrum\', \'input_output_dtype\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'complex64\'>\", \'None\', \'None\', \'None\', \'True\', \'LinearOperatorCirculant\'], " + } + member_method { + name: "add_to_tensor" + argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], " + } + member_method { + name: "assert_hermitian_spectrum" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_hermitian_spectrum\'], " + } + member_method { + name: "assert_non_singular" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], " + } + member_method { + name: "assert_positive_definite" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], " + } + member_method { + name: "assert_self_adjoint" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "block_shape_tensor" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "convolution_kernel" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'convolution_kernel\'], " + } + member_method { + name: "determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], " + } + member_method { + name: "diag_part" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], " + } + member_method { + name: "domain_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], " + } + member_method { + name: "log_abs_determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], " + } + member_method { + name: "matmul" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], " + } + member_method { + name: "matvec" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], " + } + member_method { + name: "range_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], " + } + member_method { + name: "shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], " + } + member_method { + name: "solve" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], " + } + member_method { + name: "solvevec" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], " + } + member_method { + name: "tensor_rank_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], " + } + member_method { + name: "to_dense" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], " + } + member_method { + name: "trace" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant2-d.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant2-d.__metaclass__.pbtxt new file mode 100644 index 0000000000..591bc9631a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant2-d.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.linalg.LinearOperatorCirculant2D.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant2-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant2-d.pbtxt new file mode 100644 index 0000000000..c4e6a21c3a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant2-d.pbtxt @@ -0,0 +1,155 @@ +path: "tensorflow.linalg.LinearOperatorCirculant2D" +tf_class { + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_circulant.LinearOperatorCirculant2D\'>" + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_circulant._BaseLinearOperatorCirculant\'>" + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>" + is_instance: "<type \'object\'>" + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "block_depth" + mtype: "<type \'property\'>" + } + member { + name: "block_shape" + mtype: "<type \'property\'>" + } + member { + name: "domain_dimension" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph_parents" + mtype: "<type \'property\'>" + } + member { + name: "is_non_singular" + mtype: "<type \'property\'>" + } + member { + name: "is_positive_definite" + mtype: "<type \'property\'>" + } + member { + name: "is_self_adjoint" + mtype: "<type \'property\'>" + } + member { + name: "is_square" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "range_dimension" + mtype: "<type \'property\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member { + name: "spectrum" + mtype: "<type \'property\'>" + } + member { + name: "tensor_rank" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'spectrum\', \'input_output_dtype\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'complex64\'>\", \'None\', \'None\', \'None\', \'True\', \'LinearOperatorCirculant2D\'], " + } + member_method { + name: "add_to_tensor" + argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], " + } + member_method { + name: "assert_hermitian_spectrum" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_hermitian_spectrum\'], " + } + member_method { + name: "assert_non_singular" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], " + } + member_method { + name: "assert_positive_definite" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], " + } + member_method { + name: "assert_self_adjoint" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "block_shape_tensor" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "convolution_kernel" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'convolution_kernel\'], " + } + member_method { + name: "determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], " + } + member_method { + name: "diag_part" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], " + } + member_method { + name: "domain_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], " + } + member_method { + name: "log_abs_determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], " + } + member_method { + name: "matmul" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], " + } + member_method { + name: "matvec" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], " + } + member_method { + name: "range_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], " + } + member_method { + name: "shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], " + } + member_method { + name: "solve" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], " + } + member_method { + name: "solvevec" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], " + } + member_method { + name: "tensor_rank_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], " + } + member_method { + name: "to_dense" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], " + } + member_method { + name: "trace" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant3-d.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant3-d.__metaclass__.pbtxt new file mode 100644 index 0000000000..d643139a53 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant3-d.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.linalg.LinearOperatorCirculant3D.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant3-d.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant3-d.pbtxt new file mode 100644 index 0000000000..2e085a8e28 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-circulant3-d.pbtxt @@ -0,0 +1,155 @@ +path: "tensorflow.linalg.LinearOperatorCirculant3D" +tf_class { + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_circulant.LinearOperatorCirculant3D\'>" + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_circulant._BaseLinearOperatorCirculant\'>" + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>" + is_instance: "<type \'object\'>" + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "block_depth" + mtype: "<type \'property\'>" + } + member { + name: "block_shape" + mtype: "<type \'property\'>" + } + member { + name: "domain_dimension" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph_parents" + mtype: "<type \'property\'>" + } + member { + name: "is_non_singular" + mtype: "<type \'property\'>" + } + member { + name: "is_positive_definite" + mtype: "<type \'property\'>" + } + member { + name: "is_self_adjoint" + mtype: "<type \'property\'>" + } + member { + name: "is_square" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "range_dimension" + mtype: "<type \'property\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member { + name: "spectrum" + mtype: "<type \'property\'>" + } + member { + name: "tensor_rank" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'spectrum\', \'input_output_dtype\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'complex64\'>\", \'None\', \'None\', \'None\', \'True\', \'LinearOperatorCirculant3D\'], " + } + member_method { + name: "add_to_tensor" + argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], " + } + member_method { + name: "assert_hermitian_spectrum" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_hermitian_spectrum\'], " + } + member_method { + name: "assert_non_singular" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], " + } + member_method { + name: "assert_positive_definite" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], " + } + member_method { + name: "assert_self_adjoint" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "block_shape_tensor" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "convolution_kernel" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'convolution_kernel\'], " + } + member_method { + name: "determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], " + } + member_method { + name: "diag_part" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], " + } + member_method { + name: "domain_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], " + } + member_method { + name: "log_abs_determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], " + } + member_method { + name: "matmul" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], " + } + member_method { + name: "matvec" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], " + } + member_method { + name: "range_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], " + } + member_method { + name: "shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], " + } + member_method { + name: "solve" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], " + } + member_method { + name: "solvevec" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], " + } + member_method { + name: "tensor_rank_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], " + } + member_method { + name: "to_dense" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], " + } + member_method { + name: "trace" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-composition.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-composition.__metaclass__.pbtxt new file mode 100644 index 0000000000..1adbcb41ad --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-composition.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.linalg.LinearOperatorComposition.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-composition.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-composition.pbtxt new file mode 100644 index 0000000000..42d22bce42 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-composition.pbtxt @@ -0,0 +1,134 @@ +path: "tensorflow.linalg.LinearOperatorComposition" +tf_class { + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_composition.LinearOperatorComposition\'>" + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>" + is_instance: "<type \'object\'>" + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "domain_dimension" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph_parents" + mtype: "<type \'property\'>" + } + member { + name: "is_non_singular" + mtype: "<type \'property\'>" + } + member { + name: "is_positive_definite" + mtype: "<type \'property\'>" + } + member { + name: "is_self_adjoint" + mtype: "<type \'property\'>" + } + member { + name: "is_square" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "operators" + mtype: "<type \'property\'>" + } + member { + name: "range_dimension" + mtype: "<type \'property\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member { + name: "tensor_rank" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'operators\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_to_tensor" + argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], " + } + member_method { + name: "assert_non_singular" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], " + } + member_method { + name: "assert_positive_definite" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], " + } + member_method { + name: "assert_self_adjoint" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], " + } + member_method { + name: "diag_part" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], " + } + member_method { + name: "domain_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], " + } + member_method { + name: "log_abs_determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], " + } + member_method { + name: "matmul" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], " + } + member_method { + name: "matvec" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], " + } + member_method { + name: "range_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], " + } + member_method { + name: "shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], " + } + member_method { + name: "solve" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], " + } + member_method { + name: "solvevec" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], " + } + member_method { + name: "tensor_rank_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], " + } + member_method { + name: "to_dense" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], " + } + member_method { + name: "trace" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-diag.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-diag.__metaclass__.pbtxt new file mode 100644 index 0000000000..023d90ccdb --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-diag.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.linalg.LinearOperatorDiag.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-diag.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-diag.pbtxt new file mode 100644 index 0000000000..d6749fdcec --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-diag.pbtxt @@ -0,0 +1,134 @@ +path: "tensorflow.linalg.LinearOperatorDiag" +tf_class { + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_diag.LinearOperatorDiag\'>" + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>" + is_instance: "<type \'object\'>" + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "diag" + mtype: "<type \'property\'>" + } + member { + name: "domain_dimension" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph_parents" + mtype: "<type \'property\'>" + } + member { + name: "is_non_singular" + mtype: "<type \'property\'>" + } + member { + name: "is_positive_definite" + mtype: "<type \'property\'>" + } + member { + name: "is_self_adjoint" + mtype: "<type \'property\'>" + } + member { + name: "is_square" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "range_dimension" + mtype: "<type \'property\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member { + name: "tensor_rank" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'diag\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'LinearOperatorDiag\'], " + } + member_method { + name: "add_to_tensor" + argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], " + } + member_method { + name: "assert_non_singular" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], " + } + member_method { + name: "assert_positive_definite" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], " + } + member_method { + name: "assert_self_adjoint" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], " + } + member_method { + name: "diag_part" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], " + } + member_method { + name: "domain_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], " + } + member_method { + name: "log_abs_determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], " + } + member_method { + name: "matmul" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], " + } + member_method { + name: "matvec" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], " + } + member_method { + name: "range_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], " + } + member_method { + name: "shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], " + } + member_method { + name: "solve" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], " + } + member_method { + name: "solvevec" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], " + } + member_method { + name: "tensor_rank_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], " + } + member_method { + name: "to_dense" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], " + } + member_method { + name: "trace" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-full-matrix.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-full-matrix.__metaclass__.pbtxt new file mode 100644 index 0000000000..381072e76c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-full-matrix.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.linalg.LinearOperatorFullMatrix.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-full-matrix.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-full-matrix.pbtxt new file mode 100644 index 0000000000..d9f363d133 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-full-matrix.pbtxt @@ -0,0 +1,130 @@ +path: "tensorflow.linalg.LinearOperatorFullMatrix" +tf_class { + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_full_matrix.LinearOperatorFullMatrix\'>" + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>" + is_instance: "<type \'object\'>" + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "domain_dimension" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph_parents" + mtype: "<type \'property\'>" + } + member { + name: "is_non_singular" + mtype: "<type \'property\'>" + } + member { + name: "is_positive_definite" + mtype: "<type \'property\'>" + } + member { + name: "is_self_adjoint" + mtype: "<type \'property\'>" + } + member { + name: "is_square" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "range_dimension" + mtype: "<type \'property\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member { + name: "tensor_rank" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'matrix\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'LinearOperatorFullMatrix\'], " + } + member_method { + name: "add_to_tensor" + argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], " + } + member_method { + name: "assert_non_singular" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], " + } + member_method { + name: "assert_positive_definite" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], " + } + member_method { + name: "assert_self_adjoint" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], " + } + member_method { + name: "diag_part" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], " + } + member_method { + name: "domain_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], " + } + member_method { + name: "log_abs_determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], " + } + member_method { + name: "matmul" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], " + } + member_method { + name: "matvec" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], " + } + member_method { + name: "range_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], " + } + member_method { + name: "shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], " + } + member_method { + name: "solve" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], " + } + member_method { + name: "solvevec" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], " + } + member_method { + name: "tensor_rank_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], " + } + member_method { + name: "to_dense" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], " + } + member_method { + name: "trace" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-identity.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-identity.__metaclass__.pbtxt new file mode 100644 index 0000000000..5d115b35fb --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-identity.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.linalg.LinearOperatorIdentity.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-identity.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-identity.pbtxt new file mode 100644 index 0000000000..aac7ee31ed --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-identity.pbtxt @@ -0,0 +1,131 @@ +path: "tensorflow.linalg.LinearOperatorIdentity" +tf_class { + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_identity.LinearOperatorIdentity\'>" + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_identity.BaseLinearOperatorIdentity\'>" + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>" + is_instance: "<type \'object\'>" + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "domain_dimension" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph_parents" + mtype: "<type \'property\'>" + } + member { + name: "is_non_singular" + mtype: "<type \'property\'>" + } + member { + name: "is_positive_definite" + mtype: "<type \'property\'>" + } + member { + name: "is_self_adjoint" + mtype: "<type \'property\'>" + } + member { + name: "is_square" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "range_dimension" + mtype: "<type \'property\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member { + name: "tensor_rank" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'num_rows\', \'batch_shape\', \'dtype\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'assert_proper_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\', \'True\', \'True\', \'True\', \'False\', \'LinearOperatorIdentity\'], " + } + member_method { + name: "add_to_tensor" + argspec: "args=[\'self\', \'mat\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], " + } + member_method { + name: "assert_non_singular" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], " + } + member_method { + name: "assert_positive_definite" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], " + } + member_method { + name: "assert_self_adjoint" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], " + } + member_method { + name: "diag_part" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], " + } + member_method { + name: "domain_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], " + } + member_method { + name: "log_abs_determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], " + } + member_method { + name: "matmul" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], " + } + member_method { + name: "matvec" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], " + } + member_method { + name: "range_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], " + } + member_method { + name: "shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], " + } + member_method { + name: "solve" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], " + } + member_method { + name: "solvevec" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], " + } + member_method { + name: "tensor_rank_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], " + } + member_method { + name: "to_dense" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], " + } + member_method { + name: "trace" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-kronecker.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-kronecker.__metaclass__.pbtxt new file mode 100644 index 0000000000..5c6784dd02 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-kronecker.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.linalg.LinearOperatorKronecker.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-kronecker.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-kronecker.pbtxt new file mode 100644 index 0000000000..c11d390829 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-kronecker.pbtxt @@ -0,0 +1,134 @@ +path: "tensorflow.linalg.LinearOperatorKronecker" +tf_class { + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_kronecker.LinearOperatorKronecker\'>" + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>" + is_instance: "<type \'object\'>" + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "domain_dimension" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph_parents" + mtype: "<type \'property\'>" + } + member { + name: "is_non_singular" + mtype: "<type \'property\'>" + } + member { + name: "is_positive_definite" + mtype: "<type \'property\'>" + } + member { + name: "is_self_adjoint" + mtype: "<type \'property\'>" + } + member { + name: "is_square" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "operators" + mtype: "<type \'property\'>" + } + member { + name: "range_dimension" + mtype: "<type \'property\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member { + name: "tensor_rank" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'operators\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_to_tensor" + argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], " + } + member_method { + name: "assert_non_singular" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], " + } + member_method { + name: "assert_positive_definite" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], " + } + member_method { + name: "assert_self_adjoint" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], " + } + member_method { + name: "diag_part" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], " + } + member_method { + name: "domain_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], " + } + member_method { + name: "log_abs_determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], " + } + member_method { + name: "matmul" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], " + } + member_method { + name: "matvec" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], " + } + member_method { + name: "range_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], " + } + member_method { + name: "shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], " + } + member_method { + name: "solve" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], " + } + member_method { + name: "solvevec" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], " + } + member_method { + name: "tensor_rank_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], " + } + member_method { + name: "to_dense" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], " + } + member_method { + name: "trace" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-low-rank-update.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-low-rank-update.__metaclass__.pbtxt new file mode 100644 index 0000000000..1f0d33298a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-low-rank-update.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.linalg.LinearOperatorLowRankUpdate.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-low-rank-update.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-low-rank-update.pbtxt new file mode 100644 index 0000000000..3ee800269e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-low-rank-update.pbtxt @@ -0,0 +1,154 @@ +path: "tensorflow.linalg.LinearOperatorLowRankUpdate" +tf_class { + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_low_rank_update.LinearOperatorLowRankUpdate\'>" + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>" + is_instance: "<type \'object\'>" + member { + name: "base_operator" + mtype: "<type \'property\'>" + } + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "diag_operator" + mtype: "<type \'property\'>" + } + member { + name: "diag_update" + mtype: "<type \'property\'>" + } + member { + name: "domain_dimension" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph_parents" + mtype: "<type \'property\'>" + } + member { + name: "is_diag_update_positive" + mtype: "<type \'property\'>" + } + member { + name: "is_non_singular" + mtype: "<type \'property\'>" + } + member { + name: "is_positive_definite" + mtype: "<type \'property\'>" + } + member { + name: "is_self_adjoint" + mtype: "<type \'property\'>" + } + member { + name: "is_square" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "range_dimension" + mtype: "<type \'property\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member { + name: "tensor_rank" + mtype: "<type \'property\'>" + } + member { + name: "u" + mtype: "<type \'property\'>" + } + member { + name: "v" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'base_operator\', \'u\', \'diag_update\', \'v\', \'is_diag_update_positive\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'LinearOperatorLowRankUpdate\'], " + } + member_method { + name: "add_to_tensor" + argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], " + } + member_method { + name: "assert_non_singular" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], " + } + member_method { + name: "assert_positive_definite" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], " + } + member_method { + name: "assert_self_adjoint" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], " + } + member_method { + name: "diag_part" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], " + } + member_method { + name: "domain_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], " + } + member_method { + name: "log_abs_determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], " + } + member_method { + name: "matmul" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], " + } + member_method { + name: "matvec" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], " + } + member_method { + name: "range_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], " + } + member_method { + name: "shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], " + } + member_method { + name: "solve" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], " + } + member_method { + name: "solvevec" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], " + } + member_method { + name: "tensor_rank_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], " + } + member_method { + name: "to_dense" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], " + } + member_method { + name: "trace" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-lower-triangular.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-lower-triangular.__metaclass__.pbtxt new file mode 100644 index 0000000000..2683430f4f --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-lower-triangular.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.linalg.LinearOperatorLowerTriangular.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-lower-triangular.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-lower-triangular.pbtxt new file mode 100644 index 0000000000..63a1bc2321 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-lower-triangular.pbtxt @@ -0,0 +1,130 @@ +path: "tensorflow.linalg.LinearOperatorLowerTriangular" +tf_class { + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_lower_triangular.LinearOperatorLowerTriangular\'>" + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>" + is_instance: "<type \'object\'>" + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "domain_dimension" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph_parents" + mtype: "<type \'property\'>" + } + member { + name: "is_non_singular" + mtype: "<type \'property\'>" + } + member { + name: "is_positive_definite" + mtype: "<type \'property\'>" + } + member { + name: "is_self_adjoint" + mtype: "<type \'property\'>" + } + member { + name: "is_square" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "range_dimension" + mtype: "<type \'property\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member { + name: "tensor_rank" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'tril\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'LinearOperatorLowerTriangular\'], " + } + member_method { + name: "add_to_tensor" + argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], " + } + member_method { + name: "assert_non_singular" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], " + } + member_method { + name: "assert_positive_definite" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], " + } + member_method { + name: "assert_self_adjoint" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], " + } + member_method { + name: "diag_part" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], " + } + member_method { + name: "domain_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], " + } + member_method { + name: "log_abs_determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], " + } + member_method { + name: "matmul" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], " + } + member_method { + name: "matvec" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], " + } + member_method { + name: "range_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], " + } + member_method { + name: "shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], " + } + member_method { + name: "solve" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], " + } + member_method { + name: "solvevec" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], " + } + member_method { + name: "tensor_rank_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], " + } + member_method { + name: "to_dense" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], " + } + member_method { + name: "trace" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-scaled-identity.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-scaled-identity.__metaclass__.pbtxt new file mode 100644 index 0000000000..38bf7ad586 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-scaled-identity.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.linalg.LinearOperatorScaledIdentity.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-scaled-identity.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-scaled-identity.pbtxt new file mode 100644 index 0000000000..e2c5a505a7 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-scaled-identity.pbtxt @@ -0,0 +1,135 @@ +path: "tensorflow.linalg.LinearOperatorScaledIdentity" +tf_class { + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_identity.LinearOperatorScaledIdentity\'>" + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_identity.BaseLinearOperatorIdentity\'>" + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>" + is_instance: "<type \'object\'>" + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "domain_dimension" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph_parents" + mtype: "<type \'property\'>" + } + member { + name: "is_non_singular" + mtype: "<type \'property\'>" + } + member { + name: "is_positive_definite" + mtype: "<type \'property\'>" + } + member { + name: "is_self_adjoint" + mtype: "<type \'property\'>" + } + member { + name: "is_square" + mtype: "<type \'property\'>" + } + member { + name: "multiplier" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "range_dimension" + mtype: "<type \'property\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member { + name: "tensor_rank" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'num_rows\', \'multiplier\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'assert_proper_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'False\', \'LinearOperatorScaledIdentity\'], " + } + member_method { + name: "add_to_tensor" + argspec: "args=[\'self\', \'mat\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], " + } + member_method { + name: "assert_non_singular" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], " + } + member_method { + name: "assert_positive_definite" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], " + } + member_method { + name: "assert_self_adjoint" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], " + } + member_method { + name: "diag_part" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], " + } + member_method { + name: "domain_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], " + } + member_method { + name: "log_abs_determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], " + } + member_method { + name: "matmul" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], " + } + member_method { + name: "matvec" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], " + } + member_method { + name: "range_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], " + } + member_method { + name: "shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], " + } + member_method { + name: "solve" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], " + } + member_method { + name: "solvevec" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], " + } + member_method { + name: "tensor_rank_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], " + } + member_method { + name: "to_dense" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], " + } + member_method { + name: "trace" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-zeros.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-zeros.__metaclass__.pbtxt new file mode 100644 index 0000000000..49ff85728f --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-zeros.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.linalg.LinearOperatorZeros.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-zeros.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-zeros.pbtxt new file mode 100644 index 0000000000..a1b0e06b47 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-zeros.pbtxt @@ -0,0 +1,130 @@ +path: "tensorflow.linalg.LinearOperatorZeros" +tf_class { + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_zeros.LinearOperatorZeros\'>" + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>" + is_instance: "<type \'object\'>" + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "domain_dimension" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph_parents" + mtype: "<type \'property\'>" + } + member { + name: "is_non_singular" + mtype: "<type \'property\'>" + } + member { + name: "is_positive_definite" + mtype: "<type \'property\'>" + } + member { + name: "is_self_adjoint" + mtype: "<type \'property\'>" + } + member { + name: "is_square" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "range_dimension" + mtype: "<type \'property\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member { + name: "tensor_rank" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'num_rows\', \'num_columns\', \'batch_shape\', \'dtype\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'assert_proper_shapes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'False\', \'True\', \'False\', \'True\', \'False\', \'LinearOperatorZeros\'], " + } + member_method { + name: "add_to_tensor" + argspec: "args=[\'self\', \'mat\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], " + } + member_method { + name: "assert_non_singular" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], " + } + member_method { + name: "assert_positive_definite" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], " + } + member_method { + name: "assert_self_adjoint" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], " + } + member_method { + name: "diag_part" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], " + } + member_method { + name: "domain_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], " + } + member_method { + name: "log_abs_determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], " + } + member_method { + name: "matmul" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], " + } + member_method { + name: "matvec" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], " + } + member_method { + name: "range_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], " + } + member_method { + name: "shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], " + } + member_method { + name: "solve" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], " + } + member_method { + name: "solvevec" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], " + } + member_method { + name: "tensor_rank_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], " + } + member_method { + name: "to_dense" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], " + } + member_method { + name: "trace" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator.__metaclass__.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator.__metaclass__.pbtxt new file mode 100644 index 0000000000..38da809b36 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator.__metaclass__.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.linalg.LinearOperator.__metaclass__" +tf_class { + is_instance: "<class \'abc.ABCMeta\'>" + member_method { + name: "__init__" + } + member_method { + name: "mro" + } + member_method { + name: "register" + argspec: "args=[\'cls\', \'subclass\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator.pbtxt new file mode 100644 index 0000000000..6d849dc040 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator.pbtxt @@ -0,0 +1,129 @@ +path: "tensorflow.linalg.LinearOperator" +tf_class { + is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>" + is_instance: "<type \'object\'>" + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "domain_dimension" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph_parents" + mtype: "<type \'property\'>" + } + member { + name: "is_non_singular" + mtype: "<type \'property\'>" + } + member { + name: "is_positive_definite" + mtype: "<type \'property\'>" + } + member { + name: "is_self_adjoint" + mtype: "<type \'property\'>" + } + member { + name: "is_square" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "range_dimension" + mtype: "<type \'property\'>" + } + member { + name: "shape" + mtype: "<type \'property\'>" + } + member { + name: "tensor_rank" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dtype\', \'graph_parents\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_to_tensor" + argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], " + } + member_method { + name: "assert_non_singular" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], " + } + member_method { + name: "assert_positive_definite" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], " + } + member_method { + name: "assert_self_adjoint" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], " + } + member_method { + name: "diag_part" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], " + } + member_method { + name: "domain_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], " + } + member_method { + name: "log_abs_determinant" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], " + } + member_method { + name: "matmul" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], " + } + member_method { + name: "matvec" + argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], " + } + member_method { + name: "range_dimension_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], " + } + member_method { + name: "shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], " + } + member_method { + name: "solve" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], " + } + member_method { + name: "solvevec" + argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], " + } + member_method { + name: "tensor_rank_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], " + } + member_method { + name: "to_dense" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], " + } + member_method { + name: "trace" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.linalg.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.linalg.pbtxt new file mode 100644 index 0000000000..d979116887 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.linalg.pbtxt @@ -0,0 +1,175 @@ +path: "tensorflow.linalg" +tf_module { + member { + name: "LinearOperator" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "LinearOperatorBlockDiag" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "LinearOperatorCirculant" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "LinearOperatorCirculant2D" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "LinearOperatorCirculant3D" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "LinearOperatorComposition" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "LinearOperatorDiag" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "LinearOperatorFullMatrix" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "LinearOperatorIdentity" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "LinearOperatorKronecker" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "LinearOperatorLowRankUpdate" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "LinearOperatorLowerTriangular" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "LinearOperatorScaledIdentity" + mtype: "<class \'abc.ABCMeta\'>" + } + member { + name: "LinearOperatorZeros" + mtype: "<class \'abc.ABCMeta\'>" + } + member_method { + name: "adjoint" + argspec: "args=[\'matrix\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "band_part" + argspec: "args=[\'input\', \'num_lower\', \'num_upper\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "cholesky" + argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "cholesky_solve" + argspec: "args=[\'chol\', \'rhs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "cross" + argspec: "args=[\'a\', \'b\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "det" + argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "diag" + argspec: "args=[\'diagonal\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "diag_part" + argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "eigh" + argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "eigvalsh" + argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "einsum" + argspec: "args=[\'equation\'], varargs=inputs, keywords=kwargs, defaults=None" + } + member_method { + name: "expm" + argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "eye" + argspec: "args=[\'num_rows\', \'num_columns\', \'batch_shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \"<dtype: \'float32\'>\", \'None\'], " + } + member_method { + name: "inv" + argspec: "args=[\'input\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "logdet" + argspec: "args=[\'matrix\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "logm" + argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "lstsq" + argspec: "args=[\'matrix\', \'rhs\', \'l2_regularizer\', \'fast\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'True\', \'None\'], " + } + member_method { + name: "norm" + argspec: "args=[\'tensor\', \'ord\', \'axis\', \'keepdims\', \'name\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'euclidean\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "qr" + argspec: "args=[\'input\', \'full_matrices\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "set_diag" + argspec: "args=[\'input\', \'diagonal\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "slogdet" + argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "solve" + argspec: "args=[\'matrix\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "svd" + argspec: "args=[\'tensor\', \'full_matrices\', \'compute_uv\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'None\'], " + } + member_method { + name: "tensor_diag" + argspec: "args=[\'diagonal\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "tensor_diag_part" + argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "tensordot" + argspec: "args=[\'a\', \'b\', \'axes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "trace" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "transpose" + argspec: "args=[\'a\', \'name\', \'conjugate\'], varargs=None, keywords=None, defaults=[\'matrix_transpose\', \'False\'], " + } + member_method { + name: "triangular_solve" + argspec: "args=[\'matrix\', \'rhs\', \'lower\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'False\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.logging.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.logging.pbtxt new file mode 100644 index 0000000000..85bb15455d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.logging.pbtxt @@ -0,0 +1,83 @@ +path: "tensorflow.logging" +tf_module { + member { + name: "DEBUG" + mtype: "<type \'int\'>" + } + member { + name: "ERROR" + mtype: "<type \'int\'>" + } + member { + name: "FATAL" + mtype: "<type \'int\'>" + } + member { + name: "INFO" + mtype: "<type \'int\'>" + } + member { + name: "WARN" + mtype: "<type \'int\'>" + } + member_method { + name: "TaskLevelStatusMessage" + argspec: "args=[\'msg\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "debug" + argspec: "args=[\'msg\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "error" + argspec: "args=[\'msg\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "fatal" + argspec: "args=[\'msg\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "flush" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_verbosity" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "info" + argspec: "args=[\'msg\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "log" + argspec: "args=[\'level\', \'msg\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "log_every_n" + argspec: "args=[\'level\', \'msg\', \'n\'], varargs=args, keywords=None, defaults=None" + } + member_method { + name: "log_first_n" + argspec: "args=[\'level\', \'msg\', \'n\'], varargs=args, keywords=None, defaults=None" + } + member_method { + name: "log_if" + argspec: "args=[\'level\', \'msg\', \'condition\'], varargs=args, keywords=None, defaults=None" + } + member_method { + name: "set_verbosity" + argspec: "args=[\'v\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "vlog" + argspec: "args=[\'level\', \'msg\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "warn" + argspec: "args=[\'msg\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "warning" + argspec: "args=[\'msg\'], varargs=args, keywords=kwargs, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.losses.-reduction.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.losses.-reduction.pbtxt new file mode 100644 index 0000000000..258ad5047e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.losses.-reduction.pbtxt @@ -0,0 +1,40 @@ +path: "tensorflow.losses.Reduction" +tf_class { + is_instance: "<class \'tensorflow.python.ops.losses.losses_impl.Reduction\'>" + is_instance: "<type \'object\'>" + member { + name: "MEAN" + mtype: "<type \'str\'>" + } + member { + name: "NONE" + mtype: "<type \'str\'>" + } + member { + name: "SUM" + mtype: "<type \'str\'>" + } + member { + name: "SUM_BY_NONZERO_WEIGHTS" + mtype: "<type \'str\'>" + } + member { + name: "SUM_OVER_BATCH_SIZE" + mtype: "<type \'str\'>" + } + member { + name: "SUM_OVER_NONZERO_WEIGHTS" + mtype: "<type \'str\'>" + } + member_method { + name: "__init__" + } + member_method { + name: "all" + argspec: "args=[\'cls\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "validate" + argspec: "args=[\'cls\', \'key\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.losses.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.losses.pbtxt new file mode 100644 index 0000000000..c1d190ae11 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.losses.pbtxt @@ -0,0 +1,71 @@ +path: "tensorflow.losses" +tf_module { + member { + name: "Reduction" + mtype: "<type \'type\'>" + } + member_method { + name: "absolute_difference" + argspec: "args=[\'labels\', \'predictions\', \'weights\', \'scope\', \'loss_collection\', \'reduction\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\', \'losses\', \'weighted_sum_by_nonzero_weights\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'loss\', \'loss_collection\'], varargs=None, keywords=None, defaults=[\'losses\'], " + } + member_method { + name: "compute_weighted_loss" + argspec: "args=[\'losses\', \'weights\', \'scope\', \'loss_collection\', \'reduction\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\', \'losses\', \'weighted_sum_by_nonzero_weights\'], " + } + member_method { + name: "cosine_distance" + argspec: "args=[\'labels\', \'predictions\', \'axis\', \'weights\', \'scope\', \'loss_collection\', \'reduction\', \'dim\'], varargs=None, keywords=None, defaults=[\'None\', \'1.0\', \'None\', \'losses\', \'weighted_sum_by_nonzero_weights\', \'None\'], " + } + member_method { + name: "get_losses" + argspec: "args=[\'scope\', \'loss_collection\'], varargs=None, keywords=None, defaults=[\'None\', \'losses\'], " + } + member_method { + name: "get_regularization_loss" + argspec: "args=[\'scope\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'total_regularization_loss\'], " + } + member_method { + name: "get_regularization_losses" + argspec: "args=[\'scope\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_total_loss" + argspec: "args=[\'add_regularization_losses\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'total_loss\'], " + } + member_method { + name: "hinge_loss" + argspec: "args=[\'labels\', \'logits\', \'weights\', \'scope\', \'loss_collection\', \'reduction\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\', \'losses\', \'weighted_sum_by_nonzero_weights\'], " + } + member_method { + name: "huber_loss" + argspec: "args=[\'labels\', \'predictions\', \'weights\', \'delta\', \'scope\', \'loss_collection\', \'reduction\'], varargs=None, keywords=None, defaults=[\'1.0\', \'1.0\', \'None\', \'losses\', \'weighted_sum_by_nonzero_weights\'], " + } + member_method { + name: "log_loss" + argspec: "args=[\'labels\', \'predictions\', \'weights\', \'epsilon\', \'scope\', \'loss_collection\', \'reduction\'], varargs=None, keywords=None, defaults=[\'1.0\', \'1e-07\', \'None\', \'losses\', \'weighted_sum_by_nonzero_weights\'], " + } + member_method { + name: "mean_pairwise_squared_error" + argspec: "args=[\'labels\', \'predictions\', \'weights\', \'scope\', \'loss_collection\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\', \'losses\'], " + } + member_method { + name: "mean_squared_error" + argspec: "args=[\'labels\', \'predictions\', \'weights\', \'scope\', \'loss_collection\', \'reduction\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\', \'losses\', \'weighted_sum_by_nonzero_weights\'], " + } + member_method { + name: "sigmoid_cross_entropy" + argspec: "args=[\'multi_class_labels\', \'logits\', \'weights\', \'label_smoothing\', \'scope\', \'loss_collection\', \'reduction\'], varargs=None, keywords=None, defaults=[\'1.0\', \'0\', \'None\', \'losses\', \'weighted_sum_by_nonzero_weights\'], " + } + member_method { + name: "softmax_cross_entropy" + argspec: "args=[\'onehot_labels\', \'logits\', \'weights\', \'label_smoothing\', \'scope\', \'loss_collection\', \'reduction\'], varargs=None, keywords=None, defaults=[\'1.0\', \'0\', \'None\', \'losses\', \'weighted_sum_by_nonzero_weights\'], " + } + member_method { + name: "sparse_softmax_cross_entropy" + argspec: "args=[\'labels\', \'logits\', \'weights\', \'scope\', \'loss_collection\', \'reduction\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\', \'losses\', \'weighted_sum_by_nonzero_weights\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.manip.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.manip.pbtxt new file mode 100644 index 0000000000..9add462396 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.manip.pbtxt @@ -0,0 +1,35 @@ +path: "tensorflow.manip" +tf_module { + member_method { + name: "batch_to_space_nd" + argspec: "args=[\'input\', \'block_shape\', \'crops\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "gather_nd" + argspec: "args=[\'params\', \'indices\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "reshape" + argspec: "args=[\'tensor\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "reverse" + argspec: "args=[\'tensor\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "roll" + argspec: "args=[\'input\', \'shift\', \'axis\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "scatter_nd" + argspec: "args=[\'indices\', \'updates\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "space_to_batch_nd" + argspec: "args=[\'input\', \'block_shape\', \'paddings\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "tile" + argspec: "args=[\'input\', \'multiples\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.math.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.math.pbtxt new file mode 100644 index 0000000000..a308c76ebc --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.math.pbtxt @@ -0,0 +1,239 @@ +path: "tensorflow.math" +tf_module { + member_method { + name: "acos" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "acosh" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add" + argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "asin" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "asinh" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "atan" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "atan2" + argspec: "args=[\'y\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "atanh" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "bessel_i0" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "bessel_i0e" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "bessel_i1" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "bessel_i1e" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "betainc" + argspec: "args=[\'a\', \'b\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "ceil" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "cos" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "cosh" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "digamma" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "equal" + argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "erfc" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "exp" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "expm1" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "floor" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "greater" + argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "greater_equal" + argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "igamma" + argspec: "args=[\'a\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "igammac" + argspec: "args=[\'a\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "invert_permutation" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "less" + argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "less_equal" + argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "lgamma" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "log" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "log1p" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "logical_and" + argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "logical_not" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "logical_or" + argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: 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keywords=None, defaults=[\'None\'], " + } + member_method { + name: "segment_max" + argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "segment_mean" + argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "segment_min" + argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "segment_prod" + argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "segment_sum" + argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "sin" + argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "sinh" + argspec: "args=[\'x\', \'name\'], 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\'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "false_positives" + argspec: "args=[\'labels\', \'predictions\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "false_positives_at_thresholds" + argspec: "args=[\'labels\', \'predictions\', \'thresholds\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "mean" + argspec: "args=[\'values\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "mean_absolute_error" + argspec: "args=[\'labels\', 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name: "mean_relative_error" + argspec: "args=[\'labels\', \'predictions\', \'normalizer\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "mean_squared_error" + argspec: "args=[\'labels\', \'predictions\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "mean_tensor" + argspec: "args=[\'values\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "percentage_below" + argspec: "args=[\'values\', \'threshold\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "precision" + argspec: "args=[\'labels\', \'predictions\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "precision_at_k" + argspec: "args=[\'labels\', \'predictions\', \'k\', \'class_id\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "precision_at_thresholds" + argspec: "args=[\'labels\', \'predictions\', \'thresholds\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "precision_at_top_k" + argspec: "args=[\'labels\', \'predictions_idx\', \'k\', \'class_id\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "recall" + argspec: "args=[\'labels\', \'predictions\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "recall_at_k" + argspec: "args=[\'labels\', \'predictions\', \'k\', \'class_id\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "recall_at_thresholds" + argspec: "args=[\'labels\', \'predictions\', \'thresholds\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "recall_at_top_k" + argspec: "args=[\'labels\', \'predictions_idx\', \'k\', \'class_id\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "root_mean_squared_error" + argspec: "args=[\'labels\', \'predictions\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "sensitivity_at_specificity" + argspec: "args=[\'labels\', \'predictions\', \'specificity\', \'weights\', \'num_thresholds\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'200\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "sparse_average_precision_at_k" + argspec: "args=[\'labels\', \'predictions\', \'k\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "sparse_precision_at_k" + argspec: "args=[\'labels\', \'predictions\', \'k\', \'class_id\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "specificity_at_sensitivity" + argspec: "args=[\'labels\', \'predictions\', \'sensitivity\', \'weights\', \'num_thresholds\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'200\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "true_negatives" + argspec: "args=[\'labels\', \'predictions\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "true_negatives_at_thresholds" + argspec: "args=[\'labels\', \'predictions\', \'thresholds\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "true_positives" + argspec: "args=[\'labels\', \'predictions\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "true_positives_at_thresholds" + argspec: "args=[\'labels\', \'predictions\', \'thresholds\', \'weights\', \'metrics_collections\', \'updates_collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.name_scope.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.name_scope.pbtxt new file mode 100644 index 0000000000..8041897013 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.name_scope.pbtxt @@ -0,0 +1,13 @@ +path: "tensorflow.name_scope" +tf_class { + is_instance: "<class \'tensorflow.python.framework.ops.name_scope\'>" + is_instance: "<type \'object\'>" + member { + name: "name" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'name\', \'default_name\', \'values\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.pbtxt new file mode 100644 index 0000000000..d9e5b0d0fc --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.pbtxt @@ -0,0 +1,359 @@ +path: "tensorflow.nn" +tf_module { + member { + name: "rnn_cell" + mtype: "<type \'module\'>" + } + member { + name: "swish" + mtype: "<class \'tensorflow.python.framework.function._OverloadedFunction\'>" + } + member_method { + name: "all_candidate_sampler" + argspec: "args=[\'true_classes\', \'num_true\', \'num_sampled\', \'unique\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "atrous_conv2d" + argspec: "args=[\'value\', \'filters\', \'rate\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "atrous_conv2d_transpose" + argspec: "args=[\'value\', \'filters\', \'output_shape\', \'rate\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "avg_pool" + argspec: "args=[\'value\', \'ksize\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NHWC\', \'None\'], " + } + member_method { + name: "avg_pool3d" + argspec: "args=[\'input\', \'ksize\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'NDHWC\', \'None\'], " + } + member_method { + name: "batch_norm_with_global_normalization" + argspec: "args=[\'t\', \'m\', \'v\', \'beta\', \'gamma\', \'variance_epsilon\', \'scale_after_normalization\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "batch_normalization" + argspec: "args=[\'x\', \'mean\', \'variance\', \'offset\', \'scale\', \'variance_epsilon\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "bias_add" + argspec: "args=[\'value\', \'bias\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "bidirectional_dynamic_rnn" + argspec: "args=[\'cell_fw\', \'cell_bw\', \'inputs\', \'sequence_length\', \'initial_state_fw\', \'initial_state_bw\', \'dtype\', \'parallel_iterations\', \'swap_memory\', \'time_major\', \'scope\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'False\', \'False\', \'None\'], " + } + member_method { + name: "compute_accidental_hits" + argspec: "args=[\'true_classes\', \'sampled_candidates\', \'num_true\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "conv1d" + argspec: "args=[\'value\', \'filters\', \'stride\', \'padding\', \'use_cudnn_on_gpu\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "conv2d" + argspec: "args=[\'input\', \'filter\', \'strides\', \'padding\', \'use_cudnn_on_gpu\', \'data_format\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'NHWC\', \'[1, 1, 1, 1]\', \'None\'], " + } + member_method { + name: "conv2d_backprop_filter" + argspec: "args=[\'input\', \'filter_sizes\', \'out_backprop\', \'strides\', \'padding\', \'use_cudnn_on_gpu\', \'data_format\', \'dilations\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'NHWC\', \'[1, 1, 1, 1]\', \'None\'], " + } + member_method { + name: "conv2d_backprop_input" + argspec: "args=[\'input_sizes\', \'filter\', \'out_backprop\', \'strides\', 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varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "zero_state" + argspec: "args=[\'self\', \'batch_size\', \'dtype\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-device-wrapper.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-device-wrapper.pbtxt new file mode 100644 index 0000000000..8a63b49180 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-device-wrapper.pbtxt @@ -0,0 +1,197 @@ +path: "tensorflow.nn.rnn_cell.DeviceWrapper" +tf_class { + is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.DeviceWrapper\'>" + is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.RNNCell\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "output_size" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "state_size" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'cell\', \'device\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'_\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "zero_state" + argspec: "args=[\'self\', \'batch_size\', \'dtype\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-dropout-wrapper.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-dropout-wrapper.pbtxt new file mode 100644 index 0000000000..db1aae2757 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-dropout-wrapper.pbtxt @@ -0,0 +1,201 @@ +path: "tensorflow.nn.rnn_cell.DropoutWrapper" +tf_class { + is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.DropoutWrapper\'>" + is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.RNNCell\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "output_size" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "state_size" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member { + name: "wrapped_cell" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'cell\', \'input_keep_prob\', \'output_keep_prob\', \'state_keep_prob\', \'variational_recurrent\', \'input_size\', \'dtype\', \'seed\', \'dropout_state_filter_visitor\'], varargs=None, keywords=None, defaults=[\'1.0\', \'1.0\', \'1.0\', \'False\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'_\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "zero_state" + argspec: "args=[\'self\', \'batch_size\', \'dtype\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-g-r-u-cell.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-g-r-u-cell.pbtxt new file mode 100644 index 0000000000..d76eab7eb8 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-g-r-u-cell.pbtxt @@ -0,0 +1,198 @@ +path: "tensorflow.nn.rnn_cell.GRUCell" +tf_class { + is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.GRUCell\'>" + is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.LayerRNNCell\'>" + is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.RNNCell\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "output_size" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "state_size" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'num_units\', \'activation\', \'reuse\', \'kernel_initializer\', \'bias_initializer\', \'name\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'inputs_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'state\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "zero_state" + argspec: "args=[\'self\', \'batch_size\', \'dtype\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-l-s-t-m-cell.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-l-s-t-m-cell.pbtxt new file mode 100644 index 0000000000..944db6ac93 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-l-s-t-m-cell.pbtxt @@ -0,0 +1,198 @@ +path: "tensorflow.nn.rnn_cell.LSTMCell" +tf_class { + is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.LSTMCell\'>" + is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.LayerRNNCell\'>" + is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.RNNCell\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "output_size" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "state_size" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'num_units\', \'use_peepholes\', \'cell_clip\', \'initializer\', \'num_proj\', \'proj_clip\', \'num_unit_shards\', \'num_proj_shards\', \'forget_bias\', \'state_is_tuple\', \'activation\', \'reuse\', \'name\', \'dtype\'], varargs=None, keywords=None, defaults=[\'False\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'1.0\', \'True\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'inputs_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'state\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "zero_state" + argspec: "args=[\'self\', \'batch_size\', \'dtype\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-l-s-t-m-state-tuple.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-l-s-t-m-state-tuple.pbtxt new file mode 100644 index 0000000000..1de8a55dcc --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-l-s-t-m-state-tuple.pbtxt @@ -0,0 +1,27 @@ +path: "tensorflow.nn.rnn_cell.LSTMStateTuple" +tf_class { + is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.LSTMStateTuple\'>" + is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.LSTMStateTuple\'>" + is_instance: "<type \'tuple\'>" + member { + name: "c" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "h" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + } + member_method { + name: "count" + } + member_method { + name: "index" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-multi-r-n-n-cell.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-multi-r-n-n-cell.pbtxt new file mode 100644 index 0000000000..72b40cc9f7 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-multi-r-n-n-cell.pbtxt @@ -0,0 +1,197 @@ +path: "tensorflow.nn.rnn_cell.MultiRNNCell" +tf_class { + is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.MultiRNNCell\'>" + is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.RNNCell\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "output_size" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "state_size" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'cells\', \'state_is_tuple\'], varargs=None, keywords=None, defaults=[\'True\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'_\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'state\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "zero_state" + argspec: "args=[\'self\', \'batch_size\', \'dtype\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-r-n-n-cell.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-r-n-n-cell.pbtxt new file mode 100644 index 0000000000..a5c2b4aefd --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-r-n-n-cell.pbtxt @@ -0,0 +1,196 @@ +path: "tensorflow.nn.rnn_cell.RNNCell" +tf_class { + is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.RNNCell\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "outbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_mask" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "output_size" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "state_size" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'trainable\', \'name\', \'dtype\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "add_weight" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'use_resource\', \'synchronization\', \'aggregation\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'_\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "compute_mask" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "compute_output_shape" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_mask_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_weights" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_weights" + argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "zero_state" + argspec: "args=[\'self\', \'batch_size\', \'dtype\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-residual-wrapper.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-residual-wrapper.pbtxt new file mode 100644 index 0000000000..61d5f04b22 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.nn.rnn_cell.-residual-wrapper.pbtxt @@ -0,0 +1,197 @@ +path: "tensorflow.nn.rnn_cell.ResidualWrapper" +tf_class { + is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.ResidualWrapper\'>" + is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.RNNCell\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "activity_regularizer" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "inbound_nodes" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_mask" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type 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\'None\'], " + } + member_method { + name: "unique_with_counts" + argspec: "args=[\'x\', \'out_idx\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], " + } + member_method { + name: "unravel_index" + argspec: "args=[\'indices\', \'dims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "unsorted_segment_max" + argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "unsorted_segment_mean" + argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "unsorted_segment_min" + argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "unsorted_segment_prod" + argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "unsorted_segment_sqrt_n" + argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "unsorted_segment_sum" + argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "unstack" + argspec: "args=[\'value\', \'num\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'unstack\'], " + } + member_method { + name: "variable_axis_size_partitioner" + argspec: "args=[\'max_shard_bytes\', \'axis\', \'bytes_per_string_element\', \'max_shards\'], varargs=None, keywords=None, defaults=[\'0\', \'16\', \'None\'], " + } + member_method { + name: "variable_op_scope" + argspec: "args=[\'values\', \'name_or_scope\', \'default_name\', \'initializer\', \'regularizer\', \'caching_device\', \'partitioner\', \'custom_getter\', \'reuse\', \'dtype\', \'use_resource\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "variables_initializer" + argspec: "args=[\'var_list\', \'name\'], varargs=None, keywords=None, defaults=[\'init\'], " + } + member_method { + name: "verify_tensor_all_finite" + argspec: "args=[\'t\', \'msg\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "where" + argspec: "args=[\'condition\', \'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "while_loop" + argspec: "args=[\'cond\', \'body\', \'loop_vars\', \'shape_invariants\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'name\', \'maximum_iterations\', \'return_same_structure\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'None\', \'None\', \'False\'], " + } + member_method { + name: "write_file" + argspec: "args=[\'filename\', \'contents\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "zeros" + argspec: "args=[\'shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], " + } + member_method { + name: "zeros_like" + argspec: "args=[\'tensor\', \'dtype\', \'name\', \'optimize\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\'], " + } + member_method { + name: "zeta" + argspec: "args=[\'x\', \'q\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-advice-proto.-checker.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-advice-proto.-checker.pbtxt new file mode 100644 index 0000000000..e09c44cc9c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-advice-proto.-checker.pbtxt @@ -0,0 +1,12 @@ +path: "tensorflow.profiler.AdviceProto.Checker" +tf_proto { + descriptor { + name: "Checker" + field { + name: "reports" + number: 2 + label: LABEL_REPEATED + type: TYPE_STRING + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-advice-proto.-checkers-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-advice-proto.-checkers-entry.pbtxt new file mode 100644 index 0000000000..8746243549 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-advice-proto.-checkers-entry.pbtxt @@ -0,0 +1,22 @@ +path: "tensorflow.profiler.AdviceProto.CheckersEntry" +tf_proto { + descriptor { + name: "CheckersEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.tfprof.AdviceProto.Checker" + } + options { + map_entry: true + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-advice-proto.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-advice-proto.pbtxt new file mode 100644 index 0000000000..a8a8858ccd --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-advice-proto.pbtxt @@ -0,0 +1,41 @@ +path: "tensorflow.profiler.AdviceProto" +tf_proto { + descriptor { + name: "AdviceProto" + field { + name: "checkers" + number: 1 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.tfprof.AdviceProto.CheckersEntry" + } + nested_type { + name: "CheckersEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.tfprof.AdviceProto.Checker" + } + options { + map_entry: true + } + } + nested_type { + name: "Checker" + field { + name: "reports" + number: 2 + label: LABEL_REPEATED + type: TYPE_STRING + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-graph-node-proto.-input-shapes-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-graph-node-proto.-input-shapes-entry.pbtxt new file mode 100644 index 0000000000..afec73f537 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-graph-node-proto.-input-shapes-entry.pbtxt @@ -0,0 +1,22 @@ +path: "tensorflow.profiler.GraphNodeProto.InputShapesEntry" +tf_proto { + descriptor { + name: "InputShapesEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.TensorShapeProto" + } + options { + map_entry: true + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-graph-node-proto.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-graph-node-proto.pbtxt new file mode 100644 index 0000000000..3c83177005 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-graph-node-proto.pbtxt @@ -0,0 +1,191 @@ +path: "tensorflow.profiler.GraphNodeProto" +tf_proto { + descriptor { + name: "GraphNodeProto" + field { + name: "name" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "tensor_value" + number: 15 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.tfprof.TFProfTensorProto" + } + field { + name: "run_count" + number: 21 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "exec_micros" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "accelerator_exec_micros" + number: 17 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "cpu_exec_micros" + number: 18 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "requested_bytes" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "peak_bytes" + number: 24 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "residual_bytes" + number: 25 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "output_bytes" + number: 26 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "parameters" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "float_ops" + number: 13 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "devices" + number: 10 + label: LABEL_REPEATED + type: TYPE_STRING + } + field { + name: "total_definition_count" + number: 23 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "total_run_count" + number: 22 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "total_exec_micros" + number: 6 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "total_accelerator_exec_micros" + number: 19 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "total_cpu_exec_micros" + number: 20 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "total_requested_bytes" + number: 7 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "total_peak_bytes" + number: 27 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "total_residual_bytes" + number: 28 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "total_output_bytes" + number: 29 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "total_parameters" + number: 8 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "total_float_ops" + number: 14 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "shapes" + number: 11 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.TensorShapeProto" + } + field { + name: "input_shapes" + number: 16 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.tfprof.GraphNodeProto.InputShapesEntry" + } + field { + name: "children" + number: 12 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.tfprof.GraphNodeProto" + } + nested_type { + name: "InputShapesEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.TensorShapeProto" + } + options { + map_entry: true + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-multi-graph-node-proto.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-multi-graph-node-proto.pbtxt new file mode 100644 index 0000000000..2b08a05437 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-multi-graph-node-proto.pbtxt @@ -0,0 +1,134 @@ +path: "tensorflow.profiler.MultiGraphNodeProto" +tf_proto { + descriptor { + name: "MultiGraphNodeProto" + field { + name: "name" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "exec_micros" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "accelerator_exec_micros" + number: 12 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "cpu_exec_micros" + number: 13 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "requested_bytes" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "peak_bytes" + number: 16 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "residual_bytes" + number: 17 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "output_bytes" + number: 18 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "parameters" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "float_ops" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "total_exec_micros" + number: 6 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "total_accelerator_exec_micros" + number: 14 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "total_cpu_exec_micros" + number: 15 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "total_requested_bytes" + number: 7 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "total_peak_bytes" + number: 19 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "total_residual_bytes" + number: 20 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "total_output_bytes" + number: 21 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "total_parameters" + number: 8 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "total_float_ops" + number: 9 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "graph_nodes" + number: 10 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.tfprof.GraphNodeProto" + } + field { + name: "children" + number: 11 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.tfprof.MultiGraphNodeProto" + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-op-log-proto.-id-to-string-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-op-log-proto.-id-to-string-entry.pbtxt new file mode 100644 index 0000000000..b3adc50c7e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-op-log-proto.-id-to-string-entry.pbtxt @@ -0,0 +1,21 @@ +path: "tensorflow.profiler.OpLogProto.IdToStringEntry" +tf_proto { + descriptor { + name: "IdToStringEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + options { + map_entry: true + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-op-log-proto.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-op-log-proto.pbtxt new file mode 100644 index 0000000000..7510c566ba --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-op-log-proto.pbtxt @@ -0,0 +1,38 @@ +path: "tensorflow.profiler.OpLogProto" +tf_proto { + descriptor { + name: "OpLogProto" + field { + name: "log_entries" + number: 1 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.tfprof.OpLogEntry" + } + field { + name: "id_to_string" + number: 2 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.tfprof.OpLogProto.IdToStringEntry" + } + nested_type { + name: "IdToStringEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + options { + map_entry: true + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-profile-option-builder.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-profile-option-builder.pbtxt new file mode 100644 index 0000000000..19ff38a390 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-profile-option-builder.pbtxt @@ -0,0 +1,93 @@ +path: "tensorflow.profiler.ProfileOptionBuilder" +tf_class { + is_instance: "<class \'tensorflow.python.profiler.option_builder.ProfileOptionBuilder\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'options\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "account_displayed_op_only" + argspec: "args=[\'self\', \'is_true\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "float_operation" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "order_by" + argspec: "args=[\'self\', \'attribute\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "select" + argspec: "args=[\'self\', \'attributes\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "time_and_memory" + argspec: "args=[\'min_micros\', \'min_bytes\', \'min_accelerator_micros\', \'min_cpu_micros\', \'min_peak_bytes\', \'min_residual_bytes\', \'min_output_bytes\'], varargs=None, keywords=None, defaults=[\'1\', \'1\', \'0\', \'0\', \'0\', \'0\', \'0\'], " + } + member_method { + name: "trainable_variables_parameter" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "with_accounted_types" + argspec: "args=[\'self\', \'account_type_regexes\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "with_empty_output" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "with_file_output" + argspec: "args=[\'self\', \'outfile\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "with_max_depth" + argspec: "args=[\'self\', \'max_depth\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "with_min_execution_time" + argspec: "args=[\'self\', \'min_micros\', \'min_accelerator_micros\', \'min_cpu_micros\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'0\'], " + } + member_method { + name: "with_min_float_operations" + argspec: "args=[\'self\', \'min_float_ops\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "with_min_memory" + argspec: "args=[\'self\', \'min_bytes\', \'min_peak_bytes\', \'min_residual_bytes\', \'min_output_bytes\'], varargs=None, keywords=None, defaults=[\'0\', \'0\', \'0\', \'0\'], " + } + member_method { + name: "with_min_occurrence" + argspec: "args=[\'self\', \'min_occurrence\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "with_min_parameters" + argspec: "args=[\'self\', \'min_params\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "with_node_names" + argspec: "args=[\'self\', \'start_name_regexes\', \'show_name_regexes\', \'hide_name_regexes\', \'trim_name_regexes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "with_pprof_output" + argspec: "args=[\'self\', \'pprof_file\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "with_stdout_output" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "with_step" + argspec: "args=[\'self\', \'step\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "with_timeline_output" + argspec: "args=[\'self\', \'timeline_file\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.-profiler.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-profiler.pbtxt new file mode 100644 index 0000000000..acb61dae9f --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.-profiler.pbtxt @@ -0,0 +1,37 @@ +path: "tensorflow.profiler.Profiler" +tf_class { + is_instance: "<class \'tensorflow.python.profiler.model_analyzer.Profiler\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'graph\', \'op_log\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "add_step" + argspec: "args=[\'self\', \'step\', \'run_meta\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "advise" + argspec: "args=[\'self\', \'options\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "profile_graph" + argspec: "args=[\'self\', \'options\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "profile_name_scope" + argspec: "args=[\'self\', \'options\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "profile_operations" + argspec: "args=[\'self\', \'options\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "profile_python" + argspec: "args=[\'self\', \'options\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "serialize_to_string" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.profiler.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.profiler.pbtxt new file mode 100644 index 0000000000..7b4d3ac522 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.profiler.pbtxt @@ -0,0 +1,39 @@ +path: "tensorflow.profiler" +tf_module { + member { + name: "AdviceProto" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "GraphNodeProto" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "MultiGraphNodeProto" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "OpLogProto" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "ProfileOptionBuilder" + mtype: "<type \'type\'>" + } + member { + name: "Profiler" + mtype: "<type \'type\'>" + } + member_method { + name: "advise" + argspec: "args=[\'graph\', \'run_meta\', \'options\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'0\'], " + } + member_method { + name: "profile" + argspec: "args=[\'graph\', \'run_meta\', \'op_log\', \'cmd\', \'options\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'scope\', \'0\'], " + } + member_method { + name: "write_op_log" + argspec: "args=[\'graph\', \'log_dir\', \'op_log\', \'run_meta\', \'add_trace\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.python_io.-t-f-record-compression-type.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.python_io.-t-f-record-compression-type.pbtxt new file mode 100644 index 0000000000..4941dda50e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.python_io.-t-f-record-compression-type.pbtxt @@ -0,0 +1,20 @@ +path: "tensorflow.python_io.TFRecordCompressionType" +tf_class { + is_instance: "<class \'tensorflow.python.lib.io.tf_record.TFRecordCompressionType\'>" + is_instance: "<type \'object\'>" + member { + name: "GZIP" + mtype: "<type \'int\'>" + } + member { + name: "NONE" + mtype: "<type \'int\'>" + } + member { + name: "ZLIB" + mtype: "<type \'int\'>" + } + member_method { + name: "__init__" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.python_io.-t-f-record-options.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.python_io.-t-f-record-options.pbtxt new file mode 100644 index 0000000000..0853716023 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.python_io.-t-f-record-options.pbtxt @@ -0,0 +1,17 @@ +path: "tensorflow.python_io.TFRecordOptions" +tf_class { + is_instance: "<class \'tensorflow.python.lib.io.tf_record.TFRecordOptions\'>" + is_instance: "<type \'object\'>" + member { + name: "compression_type_map" + mtype: "<type \'dict\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'compression_type\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_compression_type_string" + argspec: "args=[\'cls\', \'options\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.python_io.-t-f-record-writer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.python_io.-t-f-record-writer.pbtxt new file mode 100644 index 0000000000..31775de2d1 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.python_io.-t-f-record-writer.pbtxt @@ -0,0 +1,21 @@ +path: "tensorflow.python_io.TFRecordWriter" +tf_class { + is_instance: "<class \'tensorflow.python.lib.io.tf_record.TFRecordWriter\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'path\', \'options\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "close" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "flush" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "write" + argspec: "args=[\'self\', \'record\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.python_io.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.python_io.pbtxt new file mode 100644 index 0000000000..7c9953e5fe --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.python_io.pbtxt @@ -0,0 +1,19 @@ +path: "tensorflow.python_io" +tf_module { + member { + name: "TFRecordCompressionType" + mtype: "<type \'type\'>" + } + member { + name: "TFRecordOptions" + mtype: "<type \'type\'>" + } + member { + name: "TFRecordWriter" + mtype: "<type \'type\'>" + } + member_method { + name: "tf_record_iterator" + argspec: "args=[\'path\', \'options\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.quantization.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.quantization.pbtxt new file mode 100644 index 0000000000..6d865efed0 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.quantization.pbtxt @@ -0,0 +1,35 @@ +path: "tensorflow.quantization" +tf_module { + member_method { + name: "dequantize" + argspec: "args=[\'input\', \'min_range\', \'max_range\', \'mode\', \'name\'], varargs=None, keywords=None, defaults=[\'MIN_COMBINED\', \'None\'], " + } + member_method { + name: "fake_quant_with_min_max_args" + argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'-6\', \'6\', \'8\', \'False\', \'None\'], " + } + member_method { + name: "fake_quant_with_min_max_args_gradient" + argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'-6\', \'6\', \'8\', \'False\', \'None\'], " + } + member_method { + name: "fake_quant_with_min_max_vars" + argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], " + } + member_method { + name: "fake_quant_with_min_max_vars_gradient" + argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], " + } + member_method { + name: "fake_quant_with_min_max_vars_per_channel" + argspec: "args=[\'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], " + } + member_method { + name: "fake_quant_with_min_max_vars_per_channel_gradient" + argspec: "args=[\'gradients\', \'inputs\', \'min\', \'max\', \'num_bits\', \'narrow_range\', \'name\'], varargs=None, keywords=None, defaults=[\'8\', \'False\', \'None\'], " + } + member_method { + name: "quantized_concat" + argspec: "args=[\'concat_dim\', \'values\', \'input_mins\', \'input_maxes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.random_normal_initializer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.random_normal_initializer.pbtxt new file mode 100644 index 0000000000..5993fdeb9c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.random_normal_initializer.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.random_normal_initializer" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.RandomNormal\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.random_uniform_initializer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.random_uniform_initializer.pbtxt new file mode 100644 index 0000000000..a434ed1599 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.random_uniform_initializer.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.random_uniform_initializer" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.RandomUniform\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'minval\', \'maxval\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.resource_loader.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.resource_loader.pbtxt new file mode 100644 index 0000000000..288b78b4cd --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.resource_loader.pbtxt @@ -0,0 +1,23 @@ +path: "tensorflow.resource_loader" +tf_module { + member_method { + name: "get_data_files_path" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_path_to_datafile" + argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_root_dir_with_all_resources" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "load_resource" + argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "readahead_file_path" + argspec: "args=[\'path\', \'readahead\'], varargs=None, keywords=None, defaults=[\'128M\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.builder.-saved-model-builder.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.builder.-saved-model-builder.pbtxt new file mode 100644 index 0000000000..83bd703540 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.builder.-saved-model-builder.pbtxt @@ -0,0 +1,21 @@ +path: "tensorflow.saved_model.builder.SavedModelBuilder" +tf_class { + is_instance: "<class \'tensorflow.python.saved_model.builder_impl.SavedModelBuilder\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'export_dir\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "add_meta_graph" + argspec: "args=[\'self\', \'tags\', \'signature_def_map\', \'assets_collection\', \'legacy_init_op\', \'clear_devices\', \'main_op\', \'strip_default_attrs\', \'saver\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'False\', \'None\', \'False\', \'None\'], " + } + member_method { + name: "add_meta_graph_and_variables" + argspec: "args=[\'self\', \'sess\', \'tags\', \'signature_def_map\', \'assets_collection\', \'legacy_init_op\', \'clear_devices\', \'main_op\', \'strip_default_attrs\', \'saver\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'False\', \'None\', \'False\', \'None\'], " + } + member_method { + name: "save" + argspec: "args=[\'self\', \'as_text\'], varargs=None, keywords=None, defaults=[\'False\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.builder.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.builder.pbtxt new file mode 100644 index 0000000000..adc697ad1c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.builder.pbtxt @@ -0,0 +1,7 @@ +path: "tensorflow.saved_model.builder" +tf_module { + member { + name: "SavedModelBuilder" + mtype: "<type \'type\'>" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.constants.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.constants.pbtxt new file mode 100644 index 0000000000..20e10aa094 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.constants.pbtxt @@ -0,0 +1,39 @@ +path: "tensorflow.saved_model.constants" +tf_module { + member { + name: "ASSETS_DIRECTORY" + mtype: "<type \'str\'>" + } + member { + name: "ASSETS_KEY" + mtype: "<type \'str\'>" + } + member { + name: "LEGACY_INIT_OP_KEY" + mtype: "<type \'str\'>" + } + member { + name: "MAIN_OP_KEY" + mtype: "<type \'str\'>" + } + member { + name: "SAVED_MODEL_FILENAME_PB" + mtype: "<type \'str\'>" + } + member { + name: "SAVED_MODEL_FILENAME_PBTXT" + mtype: "<type \'str\'>" + } + member { + name: "SAVED_MODEL_SCHEMA_VERSION" + mtype: "<type \'int\'>" + } + member { + name: "VARIABLES_DIRECTORY" + mtype: "<type \'str\'>" + } + member { + name: "VARIABLES_FILENAME" + mtype: "<type \'str\'>" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.loader.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.loader.pbtxt new file mode 100644 index 0000000000..511e6b4712 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.loader.pbtxt @@ -0,0 +1,11 @@ +path: "tensorflow.saved_model.loader" +tf_module { + member_method { + name: "load" + argspec: "args=[\'sess\', \'tags\', \'export_dir\', \'import_scope\'], varargs=None, keywords=saver_kwargs, defaults=[\'None\'], " + } + member_method { + name: "maybe_saved_model_directory" + argspec: "args=[\'export_dir\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.main_op.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.main_op.pbtxt new file mode 100644 index 0000000000..176cb788c2 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.main_op.pbtxt @@ -0,0 +1,11 @@ +path: "tensorflow.saved_model.main_op" +tf_module { + member_method { + name: "main_op" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "main_op_with_restore" + argspec: "args=[\'restore_op_name\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.pbtxt new file mode 100644 index 0000000000..e1a0385092 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.pbtxt @@ -0,0 +1,39 @@ +path: "tensorflow.saved_model" +tf_module { + member { + name: "builder" + mtype: "<type \'module\'>" + } + member { + name: "constants" + mtype: "<type \'module\'>" + } + member { + name: "loader" + mtype: "<type \'module\'>" + } + member { + name: "main_op" + mtype: "<type \'module\'>" + } + member { + name: "signature_constants" + mtype: "<type \'module\'>" + } + member { + name: "signature_def_utils" + mtype: "<type \'module\'>" + } + member { + name: "tag_constants" + mtype: "<type \'module\'>" + } + member { + name: "utils" + mtype: "<type \'module\'>" + } + member_method { + name: "simple_save" + argspec: "args=[\'session\', \'export_dir\', \'inputs\', \'outputs\', \'legacy_init_op\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.signature_constants.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.signature_constants.pbtxt new file mode 100644 index 0000000000..478d410e06 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.signature_constants.pbtxt @@ -0,0 +1,47 @@ +path: "tensorflow.saved_model.signature_constants" +tf_module { + member { + name: "CLASSIFY_INPUTS" + mtype: "<type \'str\'>" + } + member { + name: "CLASSIFY_METHOD_NAME" + mtype: "<type \'str\'>" + } + member { + name: "CLASSIFY_OUTPUT_CLASSES" + mtype: "<type \'str\'>" + } + member { + name: "CLASSIFY_OUTPUT_SCORES" + mtype: "<type \'str\'>" + } + member { + name: "DEFAULT_SERVING_SIGNATURE_DEF_KEY" + mtype: "<type \'str\'>" + } + member { + name: "PREDICT_INPUTS" + mtype: "<type \'str\'>" + } + member { + name: "PREDICT_METHOD_NAME" + mtype: "<type \'str\'>" + } + member { + name: "PREDICT_OUTPUTS" + mtype: "<type \'str\'>" + } + member { + name: "REGRESS_INPUTS" + mtype: "<type \'str\'>" + } + member { + name: "REGRESS_METHOD_NAME" + mtype: "<type \'str\'>" + } + member { + name: "REGRESS_OUTPUTS" + mtype: "<type \'str\'>" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.signature_def_utils.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.signature_def_utils.pbtxt new file mode 100644 index 0000000000..a5602464ee --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.signature_def_utils.pbtxt @@ -0,0 +1,23 @@ +path: "tensorflow.saved_model.signature_def_utils" +tf_module { + member_method { + name: "build_signature_def" + argspec: "args=[\'inputs\', \'outputs\', \'method_name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "classification_signature_def" + argspec: "args=[\'examples\', \'classes\', \'scores\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "is_valid_signature" + argspec: "args=[\'signature_def\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "predict_signature_def" + argspec: "args=[\'inputs\', \'outputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "regression_signature_def" + argspec: "args=[\'examples\', \'predictions\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.tag_constants.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.tag_constants.pbtxt new file mode 100644 index 0000000000..6af72498d7 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.tag_constants.pbtxt @@ -0,0 +1,19 @@ +path: "tensorflow.saved_model.tag_constants" +tf_module { + member { + name: "GPU" + mtype: "<type \'str\'>" + } + member { + name: "SERVING" + mtype: "<type \'str\'>" + } + member { + name: "TPU" + mtype: "<type \'str\'>" + } + member { + name: "TRAINING" + mtype: "<type \'str\'>" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.saved_model.utils.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.utils.pbtxt new file mode 100644 index 0000000000..d95c946682 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.saved_model.utils.pbtxt @@ -0,0 +1,11 @@ +path: "tensorflow.saved_model.utils" +tf_module { + member_method { + name: "build_tensor_info" + argspec: "args=[\'tensor\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_tensor_from_tensor_info" + argspec: "args=[\'tensor_info\', \'graph\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.sets.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.sets.pbtxt new file mode 100644 index 0000000000..8a196b1a55 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.sets.pbtxt @@ -0,0 +1,19 @@ +path: "tensorflow.sets" +tf_module { + member_method { + name: "set_difference" + argspec: "args=[\'a\', \'b\', \'aminusb\', \'validate_indices\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], " + } + member_method { + name: "set_intersection" + argspec: "args=[\'a\', \'b\', \'validate_indices\'], varargs=None, keywords=None, defaults=[\'True\'], " + } + member_method { + name: "set_size" + argspec: "args=[\'a\', \'validate_indices\'], varargs=None, keywords=None, defaults=[\'True\'], " + } + member_method { + name: "set_union" + argspec: "args=[\'a\', \'b\', \'validate_indices\'], varargs=None, keywords=None, defaults=[\'True\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.sparse.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.sparse.pbtxt new file mode 100644 index 0000000000..bbfe395031 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.sparse.pbtxt @@ -0,0 +1,11 @@ +path: "tensorflow.sparse" +tf_module { + member_method { + name: "cross" + argspec: "args=[\'inputs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "cross_hashed" + argspec: "args=[\'inputs\', \'num_buckets\', \'hash_key\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.spectral.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.spectral.pbtxt new file mode 100644 index 0000000000..6a421ef12d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.spectral.pbtxt @@ -0,0 +1,59 @@ +path: "tensorflow.spectral" +tf_module { + member_method { + name: "dct" + argspec: "args=[\'input\', \'type\', \'n\', \'axis\', \'norm\', \'name\'], varargs=None, keywords=None, defaults=[\'2\', \'None\', \'-1\', \'None\', \'None\'], " + } + member_method { + name: "fft" + argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "fft2d" + argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "fft3d" + argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "idct" + argspec: "args=[\'input\', \'type\', \'n\', \'axis\', \'norm\', \'name\'], varargs=None, keywords=None, defaults=[\'2\', \'None\', \'-1\', \'None\', \'None\'], " + } + member_method { + name: "ifft" + argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "ifft2d" + argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "ifft3d" + argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "irfft" + argspec: "args=[\'input_tensor\', \'fft_length\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "irfft2d" + argspec: "args=[\'input_tensor\', \'fft_length\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "irfft3d" + argspec: "args=[\'input_tensor\', \'fft_length\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "rfft" + argspec: "args=[\'input_tensor\', \'fft_length\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "rfft2d" + argspec: "args=[\'input_tensor\', \'fft_length\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "rfft3d" + argspec: "args=[\'input_tensor\', \'fft_length\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.strings.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.strings.pbtxt new file mode 100644 index 0000000000..9a831fed26 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.strings.pbtxt @@ -0,0 +1,43 @@ +path: "tensorflow.strings" +tf_module { + member_method { + name: "join" + argspec: "args=[\'inputs\', \'separator\', \'name\'], varargs=None, keywords=None, defaults=[\'\', \'None\'], " + } + member_method { + name: "regex_full_match" + argspec: "args=[\'input\', \'pattern\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "regex_replace" + argspec: "args=[\'input\', \'pattern\', \'rewrite\', \'replace_global\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], " + } + member_method { + name: "split" + argspec: "args=[\'source\', \'sep\', \'maxsplit\'], varargs=None, keywords=None, defaults=[\'None\', \'-1\'], " + } + member_method { + name: "strip" + argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "substr" + argspec: "args=[\'input\', \'pos\', \'len\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "to_hash_bucket" + argspec: "args=[\'string_tensor\', \'num_buckets\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "to_hash_bucket_fast" + argspec: "args=[\'input\', \'num_buckets\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "to_hash_bucket_strong" + argspec: "args=[\'input\', \'num_buckets\', \'key\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "to_number" + argspec: "args=[\'string_tensor\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-event.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-event.pbtxt new file mode 100644 index 0000000000..eb99d0f533 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-event.pbtxt @@ -0,0 +1,74 @@ +path: "tensorflow.summary.Event" +tf_proto { + descriptor { + name: "Event" + field { + name: "wall_time" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_DOUBLE + } + field { + name: "step" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "file_version" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_STRING + oneof_index: 0 + } + field { + name: "graph_def" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_BYTES + oneof_index: 0 + } + field { + name: "summary" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.Summary" + oneof_index: 0 + } + field { + name: "log_message" + number: 6 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.LogMessage" + oneof_index: 0 + } + field { + name: "session_log" + number: 7 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.SessionLog" + oneof_index: 0 + } + field { + name: "tagged_run_metadata" + number: 8 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.TaggedRunMetadata" + oneof_index: 0 + } + field { + name: "meta_graph_def" + number: 9 + label: LABEL_OPTIONAL + type: TYPE_BYTES + oneof_index: 0 + } + oneof_decl { + name: "what" + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-file-writer-cache.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-file-writer-cache.pbtxt new file mode 100644 index 0000000000..2a5b63dcea --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-file-writer-cache.pbtxt @@ -0,0 +1,16 @@ +path: "tensorflow.summary.FileWriterCache" +tf_class { + is_instance: "<class \'tensorflow.python.summary.writer.writer_cache.FileWriterCache\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + } + member_method { + name: "clear" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get" + argspec: "args=[\'logdir\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-file-writer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-file-writer.pbtxt new file mode 100644 index 0000000000..6b65b0ace3 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-file-writer.pbtxt @@ -0,0 +1,50 @@ +path: "tensorflow.summary.FileWriter" +tf_class { + is_instance: "<class \'tensorflow.python.summary.writer.writer.FileWriter\'>" + is_instance: "<class \'tensorflow.python.summary.writer.writer.SummaryToEventTransformer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'logdir\', \'graph\', \'max_queue\', \'flush_secs\', \'graph_def\', \'filename_suffix\', \'session\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'120\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_event" + argspec: "args=[\'self\', \'event\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "add_graph" + argspec: "args=[\'self\', \'graph\', \'global_step\', \'graph_def\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "add_meta_graph" + argspec: "args=[\'self\', \'meta_graph_def\', \'global_step\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_run_metadata" + argspec: "args=[\'self\', \'run_metadata\', \'tag\', \'global_step\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_session_log" + argspec: "args=[\'self\', \'session_log\', \'global_step\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_summary" + argspec: "args=[\'self\', \'summary\', \'global_step\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "close" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "flush" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_logdir" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "reopen" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-session-log.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-session-log.pbtxt new file mode 100644 index 0000000000..73de73869c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-session-log.pbtxt @@ -0,0 +1,44 @@ +path: "tensorflow.summary.SessionLog" +tf_proto { + descriptor { + name: "SessionLog" + field { + name: "status" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_ENUM + type_name: ".tensorflow.SessionLog.SessionStatus" + } + field { + name: "checkpoint_path" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "msg" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + enum_type { + name: "SessionStatus" + value { + name: "STATUS_UNSPECIFIED" + number: 0 + } + value { + name: "START" + number: 1 + } + value { + name: "STOP" + number: 2 + } + value { + name: "CHECKPOINT" + number: 3 + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary-description.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary-description.pbtxt new file mode 100644 index 0000000000..4a8b59cf02 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary-description.pbtxt @@ -0,0 +1,12 @@ +path: "tensorflow.summary.SummaryDescription" +tf_proto { + descriptor { + name: "SummaryDescription" + field { + name: "type_hint" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.-audio.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.-audio.pbtxt new file mode 100644 index 0000000000..8b271cf58f --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.-audio.pbtxt @@ -0,0 +1,36 @@ +path: "tensorflow.summary.Summary.Audio" +tf_proto { + descriptor { + name: "Audio" + field { + name: "sample_rate" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_FLOAT + } + field { + name: "num_channels" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "length_frames" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "encoded_audio_string" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_BYTES + } + field { + name: "content_type" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.-image.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.-image.pbtxt new file mode 100644 index 0000000000..dbbc02dd05 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.-image.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.summary.Summary.Image" +tf_proto { + descriptor { + name: "Image" + field { + name: "height" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "width" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "colorspace" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "encoded_image_string" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_BYTES + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.-value.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.-value.pbtxt new file mode 100644 index 0000000000..4176171cd9 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.-value.pbtxt @@ -0,0 +1,74 @@ +path: "tensorflow.summary.Summary.Value" +tf_proto { + descriptor { + name: "Value" + field { + name: "node_name" + number: 7 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "tag" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "metadata" + number: 9 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.SummaryMetadata" + } + field { + name: "simple_value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_FLOAT + oneof_index: 0 + } + field { + name: "obsolete_old_style_histogram" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_BYTES + oneof_index: 0 + } + field { + name: "image" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.Summary.Image" + oneof_index: 0 + } + field { + name: "histo" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.HistogramProto" + oneof_index: 0 + } + field { + name: "audio" + number: 6 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.Summary.Audio" + oneof_index: 0 + } + field { + name: "tensor" + number: 8 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.TensorProto" + oneof_index: 0 + } + oneof_decl { + name: "value" + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.pbtxt new file mode 100644 index 0000000000..d6c5e3a87a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-summary.pbtxt @@ -0,0 +1,144 @@ +path: "tensorflow.summary.Summary" +tf_proto { + descriptor { + name: "Summary" + field { + name: "value" + number: 1 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.Summary.Value" + } + nested_type { + name: "Image" + field { + name: "height" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "width" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "colorspace" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "encoded_image_string" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_BYTES + } + } + nested_type { + name: "Audio" + field { + name: "sample_rate" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_FLOAT + } + field { + name: "num_channels" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "length_frames" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_INT64 + } + field { + name: "encoded_audio_string" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_BYTES + } + field { + name: "content_type" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + } + nested_type { + name: "Value" + field { + name: "node_name" + number: 7 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "tag" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "metadata" + number: 9 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.SummaryMetadata" + } + field { + name: "simple_value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_FLOAT + oneof_index: 0 + } + field { + name: "obsolete_old_style_histogram" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_BYTES + oneof_index: 0 + } + field { + name: "image" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.Summary.Image" + oneof_index: 0 + } + field { + name: "histo" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.HistogramProto" + oneof_index: 0 + } + field { + name: "audio" + number: 6 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.Summary.Audio" + oneof_index: 0 + } + field { + name: "tensor" + number: 8 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.TensorProto" + oneof_index: 0 + } + oneof_decl { + name: "value" + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.-tagged-run-metadata.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.-tagged-run-metadata.pbtxt new file mode 100644 index 0000000000..27c8873320 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.-tagged-run-metadata.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.summary.TaggedRunMetadata" +tf_proto { + descriptor { + name: "TaggedRunMetadata" + field { + name: "tag" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "run_metadata" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_BYTES + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.summary.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.summary.pbtxt new file mode 100644 index 0000000000..871ebb5247 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.summary.pbtxt @@ -0,0 +1,67 @@ +path: "tensorflow.summary" +tf_module { + member { + name: "Event" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "FileWriter" + mtype: "<type \'type\'>" + } + member { + name: "FileWriterCache" + mtype: "<type \'type\'>" + } + member { + name: "SessionLog" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "Summary" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "SummaryDescription" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "TaggedRunMetadata" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member_method { + name: "audio" + argspec: "args=[\'name\', \'tensor\', \'sample_rate\', \'max_outputs\', \'collections\', \'family\'], varargs=None, keywords=None, defaults=[\'3\', \'None\', \'None\'], " + } + member_method { + name: "get_summary_description" + argspec: "args=[\'node_def\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "histogram" + argspec: "args=[\'name\', \'values\', \'collections\', \'family\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "image" + argspec: "args=[\'name\', \'tensor\', \'max_outputs\', \'collections\', \'family\'], varargs=None, keywords=None, defaults=[\'3\', \'None\', \'None\'], " + } + member_method { + name: "merge" + argspec: "args=[\'inputs\', \'collections\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "merge_all" + argspec: "args=[\'key\', \'scope\'], varargs=None, keywords=None, defaults=[\'summaries\', \'None\'], " + } + member_method { + name: "scalar" + argspec: "args=[\'name\', \'tensor\', \'collections\', \'family\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "tensor_summary" + argspec: "args=[\'name\', \'tensor\', \'summary_description\', \'collections\', \'summary_metadata\', \'family\', \'display_name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "text" + argspec: "args=[\'name\', \'tensor\', \'collections\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.sysconfig.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.sysconfig.pbtxt new file mode 100644 index 0000000000..2f00aeac25 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.sysconfig.pbtxt @@ -0,0 +1,19 @@ +path: "tensorflow.sysconfig" +tf_module { + member_method { + name: "get_compile_flags" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_include" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_lib" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_link_flags" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.test.-benchmark.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.test.-benchmark.pbtxt new file mode 100644 index 0000000000..df528e26b6 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.test.-benchmark.pbtxt @@ -0,0 +1,21 @@ +path: "tensorflow.test.Benchmark" +tf_class { + is_instance: "<class \'tensorflow.python.platform.benchmark.TensorFlowBenchmark\'>" + is_instance: "<class \'tensorflow.python.platform.benchmark.Benchmark\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + } + member_method { + name: "is_abstract" + argspec: "args=[\'cls\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "report_benchmark" + argspec: "args=[\'self\', \'iters\', \'cpu_time\', \'wall_time\', \'throughput\', \'extras\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "run_op_benchmark" + argspec: "args=[\'self\', \'sess\', \'op_or_tensor\', \'feed_dict\', \'burn_iters\', \'min_iters\', \'store_trace\', \'store_memory_usage\', \'name\', \'extras\', \'mbs\'], varargs=None, keywords=None, defaults=[\'None\', \'2\', \'10\', \'False\', \'True\', \'None\', \'None\', \'0\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.test.-stub-out-for-testing.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.test.-stub-out-for-testing.pbtxt new file mode 100644 index 0000000000..e02a0c6097 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.test.-stub-out-for-testing.pbtxt @@ -0,0 +1,28 @@ +path: "tensorflow.test.StubOutForTesting" +tf_class { + is_instance: "<class \'tensorflow.python.platform.googletest.StubOutForTesting\'>" + member_method { + name: "CleanUp" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "Set" + argspec: "args=[\'self\', \'parent\', \'child_name\', \'new_child\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "SmartSet" + argspec: "args=[\'self\', \'obj\', \'attr_name\', \'new_attr\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "SmartUnsetAll" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "UnsetAll" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.test.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.test.pbtxt new file mode 100644 index 0000000000..abe9b068ae --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.test.pbtxt @@ -0,0 +1,59 @@ +path: "tensorflow.test" +tf_module { + member { + name: "Benchmark" + mtype: "<class \'tensorflow.python.platform.benchmark._BenchmarkRegistrar\'>" + } + member { + name: "StubOutForTesting" + mtype: "<type \'type\'>" + } + member { + name: "TestCase" + mtype: "<type \'type\'>" + } + member { + name: "mock" + mtype: "<type \'module\'>" + } + member_method { + name: "assert_equal_graph_def" + argspec: "args=[\'actual\', \'expected\', \'checkpoint_v2\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "compute_gradient" + argspec: "args=[\'x\', \'x_shape\', \'y\', \'y_shape\', \'x_init_value\', \'delta\', \'init_targets\', \'extra_feed_dict\'], varargs=None, keywords=None, defaults=[\'None\', \'0.001\', \'None\', \'None\'], " + } + member_method { + name: "compute_gradient_error" + argspec: "args=[\'x\', \'x_shape\', \'y\', \'y_shape\', \'x_init_value\', \'delta\', \'init_targets\', \'extra_feed_dict\'], varargs=None, keywords=None, defaults=[\'None\', \'0.001\', \'None\', \'None\'], " + } + member_method { + name: "create_local_cluster" + argspec: "args=[\'num_workers\', \'num_ps\', \'protocol\', \'worker_config\', \'ps_config\'], varargs=None, keywords=None, defaults=[\'grpc\', \'None\', \'None\'], " + } + member_method { + name: "get_temp_dir" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "gpu_device_name" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "is_built_with_cuda" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "is_gpu_available" + argspec: "args=[\'cuda_only\', \'min_cuda_compute_capability\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "main" + argspec: "args=[\'argv\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "test_src_dir_path" + argspec: "args=[\'relative_path\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-adadelta-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-adadelta-optimizer.pbtxt new file mode 100644 index 0000000000..1f1d8b6f9e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-adadelta-optimizer.pbtxt @@ -0,0 +1,51 @@ +path: "tensorflow.train.AdadeltaOptimizer" +tf_class { + is_instance: "<class \'tensorflow.python.training.adadelta.AdadeltaOptimizer\'>" + is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "GATE_GRAPH" + mtype: "<type \'int\'>" + } + member { + name: "GATE_NONE" + mtype: "<type \'int\'>" + } + member { + name: "GATE_OP" + mtype: "<type \'int\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'learning_rate\', \'rho\', \'epsilon\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.001\', \'0.95\', \'1e-08\', \'False\', \'Adadelta\'], " + } + member_method { + name: "apply_gradients" + argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compute_gradients" + argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], " + } + member_method { + name: "get_name" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot" + argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "minimize" + argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "variables" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-adagrad-d-a-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-adagrad-d-a-optimizer.pbtxt new file mode 100644 index 0000000000..a7c05d4849 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-adagrad-d-a-optimizer.pbtxt @@ -0,0 +1,51 @@ +path: "tensorflow.train.AdagradDAOptimizer" +tf_class { + is_instance: "<class \'tensorflow.python.training.adagrad_da.AdagradDAOptimizer\'>" + is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "GATE_GRAPH" + mtype: "<type \'int\'>" + } + member { + name: "GATE_NONE" + mtype: "<type \'int\'>" + } + member { + name: "GATE_OP" + mtype: "<type \'int\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'learning_rate\', \'global_step\', \'initial_gradient_squared_accumulator_value\', \'l1_regularization_strength\', \'l2_regularization_strength\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.1\', \'0.0\', \'0.0\', \'False\', \'AdagradDA\'], " + } + member_method { + name: "apply_gradients" + argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compute_gradients" + argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], " + } + member_method { + name: "get_name" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot" + argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "minimize" + argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "variables" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-adagrad-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-adagrad-optimizer.pbtxt new file mode 100644 index 0000000000..bc8b92389c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-adagrad-optimizer.pbtxt @@ -0,0 +1,51 @@ +path: "tensorflow.train.AdagradOptimizer" +tf_class { + is_instance: "<class \'tensorflow.python.training.adagrad.AdagradOptimizer\'>" + is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "GATE_GRAPH" + mtype: "<type \'int\'>" + } + member { + name: "GATE_NONE" + mtype: "<type \'int\'>" + } + member { + name: "GATE_OP" + mtype: "<type \'int\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'learning_rate\', \'initial_accumulator_value\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.1\', \'False\', \'Adagrad\'], " + } + member_method { + name: "apply_gradients" + argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compute_gradients" + argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], " + } + member_method { + name: "get_name" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot" + argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "minimize" + argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "variables" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-adam-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-adam-optimizer.pbtxt new file mode 100644 index 0000000000..5d17be9378 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-adam-optimizer.pbtxt @@ -0,0 +1,51 @@ +path: "tensorflow.train.AdamOptimizer" +tf_class { + is_instance: "<class \'tensorflow.python.training.adam.AdamOptimizer\'>" + is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "GATE_GRAPH" + mtype: "<type \'int\'>" + } + member { + name: "GATE_NONE" + mtype: "<type \'int\'>" + } + member { + name: "GATE_OP" + mtype: "<type \'int\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'learning_rate\', \'beta1\', \'beta2\', \'epsilon\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.001\', \'0.9\', \'0.999\', \'1e-08\', \'False\', \'Adam\'], " + } + member_method { + name: "apply_gradients" + argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compute_gradients" + argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], " + } + member_method { + name: "get_name" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot" + argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "minimize" + argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "variables" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-bytes-list.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-bytes-list.pbtxt new file mode 100644 index 0000000000..87e4f160e5 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-bytes-list.pbtxt @@ -0,0 +1,12 @@ +path: "tensorflow.train.BytesList" +tf_proto { + descriptor { + name: "BytesList" + field { + name: "value" + number: 1 + label: LABEL_REPEATED + type: TYPE_BYTES + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-checkpoint-saver-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-checkpoint-saver-hook.pbtxt new file mode 100644 index 0000000000..c3037baa8c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-checkpoint-saver-hook.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.train.CheckpointSaverHook" +tf_class { + is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.CheckpointSaverHook\'>" + is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'checkpoint_dir\', \'save_secs\', \'save_steps\', \'saver\', \'checkpoint_basename\', \'scaffold\', \'listeners\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'model.ckpt\', \'None\', \'None\'], " + } + member_method { + name: "after_create_session" + argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "after_run" + argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "before_run" + argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "begin" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "end" + argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-checkpoint-saver-listener.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-checkpoint-saver-listener.pbtxt new file mode 100644 index 0000000000..9d3688e565 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-checkpoint-saver-listener.pbtxt @@ -0,0 +1,24 @@ +path: "tensorflow.train.CheckpointSaverListener" +tf_class { + is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.CheckpointSaverListener\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + } + member_method { + name: "after_save" + argspec: "args=[\'self\', \'session\', \'global_step_value\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "before_save" + argspec: "args=[\'self\', \'session\', \'global_step_value\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "begin" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "end" + argspec: "args=[\'self\', \'session\', \'global_step_value\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-checkpoint.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-checkpoint.pbtxt new file mode 100644 index 0000000000..2d067e4eff --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-checkpoint.pbtxt @@ -0,0 +1,23 @@ +path: "tensorflow.train.Checkpoint" +tf_class { + is_instance: "<class \'tensorflow.python.training.checkpointable.util.Checkpoint\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.tracking.Checkpointable\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "save_counter" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "restore" + argspec: "args=[\'self\', \'save_path\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "save" + argspec: "args=[\'self\', \'file_prefix\', \'session\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-chief-session-creator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-chief-session-creator.pbtxt new file mode 100644 index 0000000000..abbe273be3 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-chief-session-creator.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.train.ChiefSessionCreator" +tf_class { + is_instance: "<class \'tensorflow.python.training.monitored_session.ChiefSessionCreator\'>" + is_instance: "<class \'tensorflow.python.training.monitored_session.SessionCreator\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'scaffold\', \'master\', \'config\', \'checkpoint_dir\', \'checkpoint_filename_with_path\'], varargs=None, keywords=None, defaults=[\'None\', \'\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "create_session" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-cluster-def.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-cluster-def.pbtxt new file mode 100644 index 0000000000..f9de26839f --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-cluster-def.pbtxt @@ -0,0 +1,13 @@ +path: "tensorflow.train.ClusterDef" +tf_proto { + descriptor { + name: "ClusterDef" + field { + name: "job" + number: 1 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.JobDef" + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-cluster-spec.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-cluster-spec.pbtxt new file mode 100644 index 0000000000..1658b15a5f --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-cluster-spec.pbtxt @@ -0,0 +1,37 @@ +path: "tensorflow.train.ClusterSpec" +tf_class { + is_instance: "<class \'tensorflow.python.training.server_lib.ClusterSpec\'>" + is_instance: "<type \'object\'>" + member { + name: "jobs" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'cluster\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "as_cluster_def" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "as_dict" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "job_tasks" + argspec: "args=[\'self\', \'job_name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "num_tasks" + argspec: "args=[\'self\', \'job_name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "task_address" + argspec: "args=[\'self\', \'job_name\', \'task_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "task_indices" + argspec: "args=[\'self\', \'job_name\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-coordinator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-coordinator.pbtxt new file mode 100644 index 0000000000..11277f077e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-coordinator.pbtxt @@ -0,0 +1,45 @@ +path: "tensorflow.train.Coordinator" +tf_class { + is_instance: "<class \'tensorflow.python.training.coordinator.Coordinator\'>" + is_instance: "<type \'object\'>" + member { + name: "joined" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'clean_stop_exception_types\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "clear_stop" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "join" + argspec: "args=[\'self\', \'threads\', \'stop_grace_period_secs\', \'ignore_live_threads\'], varargs=None, keywords=None, defaults=[\'None\', \'120\', \'False\'], " + } + member_method { + name: "raise_requested_exception" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "register_thread" + argspec: "args=[\'self\', \'thread\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "request_stop" + argspec: "args=[\'self\', \'ex\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "should_stop" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "stop_on_exception" + argspec: "args=[], varargs=args, keywords=kwds, defaults=None" + } + member_method { + name: "wait_for_stop" + argspec: "args=[\'self\', \'timeout\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-example.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-example.pbtxt new file mode 100644 index 0000000000..23c30f1ef4 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-example.pbtxt @@ -0,0 +1,13 @@ +path: "tensorflow.train.Example" +tf_proto { + descriptor { + name: "Example" + field { + name: "features" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.Features" + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-exponential-moving-average.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-exponential-moving-average.pbtxt new file mode 100644 index 0000000000..c9fe136e68 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-exponential-moving-average.pbtxt @@ -0,0 +1,29 @@ +path: "tensorflow.train.ExponentialMovingAverage" +tf_class { + is_instance: "<class \'tensorflow.python.training.moving_averages.ExponentialMovingAverage\'>" + is_instance: "<type \'object\'>" + member { + name: "name" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'decay\', \'num_updates\', \'zero_debias\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'ExponentialMovingAverage\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'var_list\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "average" + argspec: "args=[\'self\', \'var\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "average_name" + argspec: "args=[\'self\', \'var\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "variables_to_restore" + argspec: "args=[\'self\', \'moving_avg_variables\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-feature-list.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-feature-list.pbtxt new file mode 100644 index 0000000000..2a8b3714fc --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-feature-list.pbtxt @@ -0,0 +1,13 @@ +path: "tensorflow.train.FeatureList" +tf_proto { + descriptor { + name: "FeatureList" + field { + name: "feature" + number: 1 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.Feature" + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-feature-lists.-feature-list-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-feature-lists.-feature-list-entry.pbtxt new file mode 100644 index 0000000000..cd1d56e606 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-feature-lists.-feature-list-entry.pbtxt @@ -0,0 +1,22 @@ +path: "tensorflow.train.FeatureLists.FeatureListEntry" +tf_proto { + descriptor { + name: "FeatureListEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.FeatureList" + } + options { + map_entry: true + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-feature-lists.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-feature-lists.pbtxt new file mode 100644 index 0000000000..3c183a6476 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-feature-lists.pbtxt @@ -0,0 +1,32 @@ +path: "tensorflow.train.FeatureLists" +tf_proto { + descriptor { + name: "FeatureLists" + field { + name: "feature_list" + number: 1 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.FeatureLists.FeatureListEntry" + } + nested_type { + name: "FeatureListEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.FeatureList" + } + options { + map_entry: true + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-feature.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-feature.pbtxt new file mode 100644 index 0000000000..5d0eb871c2 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-feature.pbtxt @@ -0,0 +1,33 @@ +path: "tensorflow.train.Feature" +tf_proto { + descriptor { + name: "Feature" + field { + name: "bytes_list" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.BytesList" + oneof_index: 0 + } + field { + name: "float_list" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.FloatList" + oneof_index: 0 + } + field { + name: "int64_list" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.Int64List" + oneof_index: 0 + } + oneof_decl { + name: "kind" + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-features.-feature-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-features.-feature-entry.pbtxt new file mode 100644 index 0000000000..f912005f1c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-features.-feature-entry.pbtxt @@ -0,0 +1,22 @@ +path: "tensorflow.train.Features.FeatureEntry" +tf_proto { + descriptor { + name: "FeatureEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.Feature" + } + options { + map_entry: true + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-features.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-features.pbtxt new file mode 100644 index 0000000000..b788ca1d57 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-features.pbtxt @@ -0,0 +1,32 @@ +path: "tensorflow.train.Features" +tf_proto { + descriptor { + name: "Features" + field { + name: "feature" + number: 1 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.Features.FeatureEntry" + } + nested_type { + name: "FeatureEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.Feature" + } + options { + map_entry: true + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-feed-fn-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-feed-fn-hook.pbtxt new file mode 100644 index 0000000000..7bec4d032c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-feed-fn-hook.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.train.FeedFnHook" +tf_class { + is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.FeedFnHook\'>" + is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'feed_fn\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "after_create_session" + argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "after_run" + argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "before_run" + argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "begin" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "end" + argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-final-ops-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-final-ops-hook.pbtxt new file mode 100644 index 0000000000..31cf9aaeb2 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-final-ops-hook.pbtxt @@ -0,0 +1,34 @@ +path: "tensorflow.train.FinalOpsHook" +tf_class { + is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.FinalOpsHook\'>" + is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>" + is_instance: "<type \'object\'>" + member { + name: "final_ops_values" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'final_ops\', \'final_ops_feed_dict\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "after_create_session" + argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "after_run" + argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "before_run" + argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "begin" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "end" + argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-float-list.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-float-list.pbtxt new file mode 100644 index 0000000000..55d3b46f20 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-float-list.pbtxt @@ -0,0 +1,15 @@ +path: "tensorflow.train.FloatList" +tf_proto { + descriptor { + name: "FloatList" + field { + name: "value" + number: 1 + label: LABEL_REPEATED + type: TYPE_FLOAT + options { + packed: true + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-ftrl-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-ftrl-optimizer.pbtxt new file mode 100644 index 0000000000..d265fdeb01 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-ftrl-optimizer.pbtxt @@ -0,0 +1,51 @@ +path: "tensorflow.train.FtrlOptimizer" +tf_class { + is_instance: "<class \'tensorflow.python.training.ftrl.FtrlOptimizer\'>" + is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "GATE_GRAPH" + mtype: "<type \'int\'>" + } + member { + name: "GATE_NONE" + mtype: "<type \'int\'>" + } + member { + name: "GATE_OP" + mtype: "<type \'int\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'learning_rate\', \'learning_rate_power\', \'initial_accumulator_value\', \'l1_regularization_strength\', \'l2_regularization_strength\', \'use_locking\', \'name\', \'accum_name\', \'linear_name\', \'l2_shrinkage_regularization_strength\'], varargs=None, keywords=None, defaults=[\'-0.5\', \'0.1\', \'0.0\', \'0.0\', \'False\', \'Ftrl\', \'None\', \'None\', \'0.0\'], " + } + member_method { + name: "apply_gradients" + argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compute_gradients" + argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], " + } + member_method { + name: "get_name" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot" + argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "minimize" + argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "variables" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-global-step-waiter-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-global-step-waiter-hook.pbtxt new file mode 100644 index 0000000000..147448618e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-global-step-waiter-hook.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.train.GlobalStepWaiterHook" +tf_class { + is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.GlobalStepWaiterHook\'>" + is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'wait_until_step\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "after_create_session" + argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "after_run" + argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "before_run" + argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "begin" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "end" + argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-gradient-descent-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-gradient-descent-optimizer.pbtxt new file mode 100644 index 0000000000..c673e29cd4 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-gradient-descent-optimizer.pbtxt @@ -0,0 +1,51 @@ +path: "tensorflow.train.GradientDescentOptimizer" +tf_class { + is_instance: "<class \'tensorflow.python.training.gradient_descent.GradientDescentOptimizer\'>" + is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "GATE_GRAPH" + mtype: "<type \'int\'>" + } + member { + name: "GATE_NONE" + mtype: "<type \'int\'>" + } + member { + name: "GATE_OP" + mtype: "<type \'int\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'learning_rate\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'GradientDescent\'], " + } + member_method { + name: "apply_gradients" + argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compute_gradients" + argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], " + } + member_method { + name: "get_name" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot" + argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "minimize" + argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "variables" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-int64-list.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-int64-list.pbtxt new file mode 100644 index 0000000000..1de92b3ab7 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-int64-list.pbtxt @@ -0,0 +1,15 @@ +path: "tensorflow.train.Int64List" +tf_proto { + descriptor { + name: "Int64List" + field { + name: "value" + number: 1 + label: LABEL_REPEATED + type: TYPE_INT64 + options { + packed: true + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-job-def.-tasks-entry.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-job-def.-tasks-entry.pbtxt new file mode 100644 index 0000000000..58115590a5 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-job-def.-tasks-entry.pbtxt @@ -0,0 +1,21 @@ +path: "tensorflow.train.JobDef.TasksEntry" +tf_proto { + descriptor { + name: "TasksEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + options { + map_entry: true + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-job-def.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-job-def.pbtxt new file mode 100644 index 0000000000..d7eb505e27 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-job-def.pbtxt @@ -0,0 +1,37 @@ +path: "tensorflow.train.JobDef" +tf_proto { + descriptor { + name: "JobDef" + field { + name: "name" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "tasks" + number: 2 + label: LABEL_REPEATED + type: TYPE_MESSAGE + type_name: ".tensorflow.JobDef.TasksEntry" + } + nested_type { + name: "TasksEntry" + field { + name: "key" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "value" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + options { + map_entry: true + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-logging-tensor-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-logging-tensor-hook.pbtxt new file mode 100644 index 0000000000..9801c05df1 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-logging-tensor-hook.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.train.LoggingTensorHook" +tf_class { + is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.LoggingTensorHook\'>" + is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'tensors\', \'every_n_iter\', \'every_n_secs\', \'at_end\', \'formatter\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\', \'None\'], " + } + member_method { + name: "after_create_session" + argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "after_run" + argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "before_run" + argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "begin" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "end" + argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-looper-thread.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-looper-thread.pbtxt new file mode 100644 index 0000000000..c61859004e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-looper-thread.pbtxt @@ -0,0 +1,73 @@ +path: "tensorflow.train.LooperThread" +tf_class { + is_instance: "<class \'tensorflow.python.training.coordinator.LooperThread\'>" + is_instance: "<class \'threading.Thread\'>" + member { + name: "daemon" + mtype: "<type \'property\'>" + } + member { + name: "ident" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'coord\', \'timer_interval_secs\', \'target\', \'args\', \'kwargs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "getName" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "isAlive" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "isDaemon" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "is_alive" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "join" + argspec: "args=[\'self\', \'timeout\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "loop" + argspec: "args=[\'coord\', \'timer_interval_secs\', \'target\', \'args\', \'kwargs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "run" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "run_loop" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "setDaemon" + argspec: "args=[\'self\', \'daemonic\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "setName" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "start" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "start_loop" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "stop_loop" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-momentum-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-momentum-optimizer.pbtxt new file mode 100644 index 0000000000..8199f63b9b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-momentum-optimizer.pbtxt @@ -0,0 +1,51 @@ +path: "tensorflow.train.MomentumOptimizer" +tf_class { + is_instance: "<class \'tensorflow.python.training.momentum.MomentumOptimizer\'>" + is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "GATE_GRAPH" + mtype: "<type \'int\'>" + } + member { + name: "GATE_NONE" + mtype: "<type \'int\'>" + } + member { + name: "GATE_OP" + mtype: "<type \'int\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'learning_rate\', \'momentum\', \'use_locking\', \'name\', \'use_nesterov\'], varargs=None, keywords=None, defaults=[\'False\', \'Momentum\', \'False\'], " + } + member_method { + name: "apply_gradients" + argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compute_gradients" + argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], " + } + member_method { + name: "get_name" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot" + argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "minimize" + argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "variables" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-monitored-session.-step-context.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-monitored-session.-step-context.pbtxt new file mode 100644 index 0000000000..03efe6639e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-monitored-session.-step-context.pbtxt @@ -0,0 +1,21 @@ +path: "tensorflow.train.MonitoredSession.StepContext" +tf_class { + is_instance: "<class \'tensorflow.python.training.monitored_session.StepContext\'>" + is_instance: "<type \'object\'>" + member { + name: "session" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'session\', \'run_with_hooks_fn\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "request_stop" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "run_with_hooks" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-monitored-session.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-monitored-session.pbtxt new file mode 100644 index 0000000000..09b7b3fb53 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-monitored-session.pbtxt @@ -0,0 +1,34 @@ +path: "tensorflow.train.MonitoredSession" +tf_class { + is_instance: "<class \'tensorflow.python.training.monitored_session.MonitoredSession\'>" + is_instance: "<class \'tensorflow.python.training.monitored_session._MonitoredSession\'>" + is_instance: "<type \'object\'>" + member { + name: "StepContext" + mtype: "<type \'type\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'session_creator\', \'hooks\', \'stop_grace_period_secs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'120\'], " + } + member_method { + name: "close" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "run" + argspec: "args=[\'self\', \'fetches\', \'feed_dict\', \'options\', \'run_metadata\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "run_step_fn" + argspec: "args=[\'self\', \'step_fn\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "should_stop" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-nan-loss-during-training-error.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-nan-loss-during-training-error.pbtxt new file mode 100644 index 0000000000..25fd5e75a7 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-nan-loss-during-training-error.pbtxt @@ -0,0 +1,16 @@ +path: "tensorflow.train.NanLossDuringTrainingError" +tf_class { + is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.NanLossDuringTrainingError\'>" + is_instance: "<type \'exceptions.RuntimeError\'>" + member { + name: "args" + mtype: "<type \'getset_descriptor\'>" + } + member { + name: "message" + mtype: "<type \'getset_descriptor\'>" + } + member_method { + name: "__init__" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-nan-tensor-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-nan-tensor-hook.pbtxt new file mode 100644 index 0000000000..7d1c89f9b3 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-nan-tensor-hook.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.train.NanTensorHook" +tf_class { + is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.NanTensorHook\'>" + is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'loss_tensor\', \'fail_on_nan_loss\'], varargs=None, keywords=None, defaults=[\'True\'], " + } + member_method { + name: "after_create_session" + argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "after_run" + argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "before_run" + argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "begin" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "end" + argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-optimizer.pbtxt new file mode 100644 index 0000000000..876bb35e39 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-optimizer.pbtxt @@ -0,0 +1,50 @@ +path: "tensorflow.train.Optimizer" +tf_class { + is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "GATE_GRAPH" + mtype: "<type \'int\'>" + } + member { + name: "GATE_NONE" + mtype: "<type \'int\'>" + } + member { + name: "GATE_OP" + mtype: "<type \'int\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "apply_gradients" + argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compute_gradients" + argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], " + } + member_method { + name: "get_name" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot" + argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "minimize" + argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "variables" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-profiler-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-profiler-hook.pbtxt new file mode 100644 index 0000000000..4df6c4156a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-profiler-hook.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.train.ProfilerHook" +tf_class { + is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.ProfilerHook\'>" + is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'save_steps\', \'save_secs\', \'output_dir\', \'show_dataflow\', \'show_memory\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'\', \'True\', \'False\'], " + } + member_method { + name: "after_create_session" + argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "after_run" + argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "before_run" + argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "begin" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "end" + argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-proximal-adagrad-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-proximal-adagrad-optimizer.pbtxt new file mode 100644 index 0000000000..14349a74ef --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-proximal-adagrad-optimizer.pbtxt @@ -0,0 +1,51 @@ +path: "tensorflow.train.ProximalAdagradOptimizer" +tf_class { + is_instance: "<class \'tensorflow.python.training.proximal_adagrad.ProximalAdagradOptimizer\'>" + is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "GATE_GRAPH" + mtype: "<type \'int\'>" + } + member { + name: "GATE_NONE" + mtype: "<type \'int\'>" + } + member { + name: "GATE_OP" + mtype: "<type \'int\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'learning_rate\', \'initial_accumulator_value\', \'l1_regularization_strength\', \'l2_regularization_strength\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.1\', \'0.0\', \'0.0\', \'False\', \'ProximalAdagrad\'], " + } + member_method { + name: "apply_gradients" + argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compute_gradients" + argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], " + } + member_method { + name: "get_name" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot" + argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "minimize" + argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "variables" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-proximal-gradient-descent-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-proximal-gradient-descent-optimizer.pbtxt new file mode 100644 index 0000000000..7d982dc51f --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-proximal-gradient-descent-optimizer.pbtxt @@ -0,0 +1,51 @@ +path: "tensorflow.train.ProximalGradientDescentOptimizer" +tf_class { + is_instance: "<class \'tensorflow.python.training.proximal_gradient_descent.ProximalGradientDescentOptimizer\'>" + is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "GATE_GRAPH" + mtype: "<type \'int\'>" + } + member { + name: "GATE_NONE" + mtype: "<type \'int\'>" + } + member { + name: "GATE_OP" + mtype: "<type \'int\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'learning_rate\', \'l1_regularization_strength\', \'l2_regularization_strength\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'0.0\', \'False\', \'ProximalGradientDescent\'], " + } + member_method { + name: "apply_gradients" + argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compute_gradients" + argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], " + } + member_method { + name: "get_name" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot" + argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "minimize" + argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "variables" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-queue-runner.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-queue-runner.pbtxt new file mode 100644 index 0000000000..d84d0058ee --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-queue-runner.pbtxt @@ -0,0 +1,49 @@ +path: "tensorflow.train.QueueRunner" +tf_class { + is_instance: "<class \'tensorflow.python.training.queue_runner_impl.QueueRunner\'>" + is_instance: "<type \'object\'>" + member { + name: "cancel_op" + mtype: "<type \'property\'>" + } + member { + name: "close_op" + mtype: "<type \'property\'>" + } + member { + name: "enqueue_ops" + mtype: "<type \'property\'>" + } + member { + name: "exceptions_raised" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "queue" + mtype: "<type \'property\'>" + } + member { + name: "queue_closed_exception_types" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'queue\', \'enqueue_ops\', \'close_op\', \'cancel_op\', \'queue_closed_exception_types\', \'queue_runner_def\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "create_threads" + argspec: "args=[\'self\', \'sess\', \'coord\', \'daemon\', \'start\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'False\'], " + } + member_method { + name: "from_proto" + argspec: "args=[\'queue_runner_def\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "to_proto" + argspec: "args=[\'self\', \'export_scope\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-r-m-s-prop-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-r-m-s-prop-optimizer.pbtxt new file mode 100644 index 0000000000..906384a287 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-r-m-s-prop-optimizer.pbtxt @@ -0,0 +1,51 @@ +path: "tensorflow.train.RMSPropOptimizer" +tf_class { + is_instance: "<class \'tensorflow.python.training.rmsprop.RMSPropOptimizer\'>" + is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "GATE_GRAPH" + mtype: "<type \'int\'>" + } + member { + name: "GATE_NONE" + mtype: "<type \'int\'>" + } + member { + name: "GATE_OP" + mtype: "<type \'int\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'learning_rate\', \'decay\', \'momentum\', \'epsilon\', \'use_locking\', \'centered\', \'name\'], varargs=None, keywords=None, defaults=[\'0.9\', \'0.0\', \'1e-10\', \'False\', \'False\', \'RMSProp\'], " + } + member_method { + name: "apply_gradients" + argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compute_gradients" + argspec: "args=[\'self\', \'loss\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'False\', \'None\'], " + } + member_method { + name: "get_name" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot" + argspec: "args=[\'self\', \'var\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot_names" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "minimize" + argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "variables" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-saver-def.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-saver-def.pbtxt new file mode 100644 index 0000000000..4ec99469e4 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-saver-def.pbtxt @@ -0,0 +1,64 @@ +path: "tensorflow.train.SaverDef" +tf_proto { + descriptor { + name: "SaverDef" + field { + name: "filename_tensor_name" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "save_tensor_name" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "restore_op_name" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "max_to_keep" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "sharded" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_BOOL + } + field { + name: "keep_checkpoint_every_n_hours" + number: 6 + label: LABEL_OPTIONAL + type: TYPE_FLOAT + } + field { + name: "version" + number: 7 + label: LABEL_OPTIONAL + type: TYPE_ENUM + type_name: ".tensorflow.SaverDef.CheckpointFormatVersion" + } + enum_type { + name: "CheckpointFormatVersion" + value { + name: "LEGACY" + number: 0 + } + value { + name: "V1" + number: 1 + } + value { + name: "V2" + number: 2 + } + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-saver.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-saver.pbtxt new file mode 100644 index 0000000000..2cda458f46 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-saver.pbtxt @@ -0,0 +1,53 @@ +path: "tensorflow.train.Saver" +tf_class { + is_instance: "<class \'tensorflow.python.training.saver.Saver\'>" + is_instance: "<type \'object\'>" + member { + name: "last_checkpoints" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'var_list\', \'reshape\', \'sharded\', \'max_to_keep\', \'keep_checkpoint_every_n_hours\', \'name\', \'restore_sequentially\', \'saver_def\', \'builder\', \'defer_build\', \'allow_empty\', \'write_version\', \'pad_step_number\', \'save_relative_paths\', \'filename\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'False\', \'5\', \'10000.0\', \'None\', \'False\', \'None\', \'None\', \'False\', \'False\', \'2\', \'False\', \'False\', \'None\'], " + } + member_method { + name: "as_saver_def" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "export_meta_graph" + argspec: "args=[\'self\', \'filename\', \'collection_list\', \'as_text\', \'export_scope\', \'clear_devices\', \'clear_extraneous_savers\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\', \'None\', \'False\', \'False\', \'False\'], " + } + member_method { + name: "from_proto" + argspec: "args=[\'saver_def\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "recover_last_checkpoints" + argspec: "args=[\'self\', \'checkpoint_paths\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "restore" + argspec: "args=[\'self\', \'sess\', \'save_path\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "save" + argspec: "args=[\'self\', \'sess\', \'save_path\', \'global_step\', \'latest_filename\', \'meta_graph_suffix\', \'write_meta_graph\', \'write_state\', \'strip_default_attrs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'meta\', \'True\', \'True\', \'False\'], " + } + member_method { + name: "set_last_checkpoints" + argspec: "args=[\'self\', \'last_checkpoints\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "set_last_checkpoints_with_time" + argspec: "args=[\'self\', \'last_checkpoints_with_time\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "to_proto" + argspec: "args=[\'self\', \'export_scope\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-scaffold.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-scaffold.pbtxt new file mode 100644 index 0000000000..38cc98b48e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-scaffold.pbtxt @@ -0,0 +1,53 @@ +path: "tensorflow.train.Scaffold" +tf_class { + is_instance: "<class \'tensorflow.python.training.monitored_session.Scaffold\'>" + is_instance: "<type \'object\'>" + member { + name: "init_feed_dict" + mtype: "<type \'property\'>" + } + member { + name: "init_fn" + mtype: "<type \'property\'>" + } + member { + name: "init_op" + mtype: "<type \'property\'>" + } + member { + name: "local_init_op" + mtype: "<type \'property\'>" + } + member { + name: "ready_for_local_init_op" + mtype: "<type \'property\'>" + } + member { + name: "ready_op" + mtype: "<type \'property\'>" + } + member { + name: "saver" + mtype: "<type \'property\'>" + } + member { + name: "summary_op" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'init_op\', \'init_feed_dict\', \'init_fn\', \'ready_op\', \'ready_for_local_init_op\', \'local_init_op\', \'summary_op\', \'saver\', \'copy_from_scaffold\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "default_local_init_op" + argspec: "args=[], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "finalize" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_or_default" + argspec: "args=[\'arg_name\', \'collection_key\', \'default_constructor\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-second-or-step-timer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-second-or-step-timer.pbtxt new file mode 100644 index 0000000000..3c5a6ac13c --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-second-or-step-timer.pbtxt @@ -0,0 +1,26 @@ +path: "tensorflow.train.SecondOrStepTimer" +tf_class { + is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.SecondOrStepTimer\'>" + is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks._HookTimer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'every_secs\', \'every_steps\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "last_triggered_step" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "reset" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "should_trigger_for_step" + argspec: "args=[\'self\', \'step\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "update_last_triggered_step" + argspec: "args=[\'self\', \'step\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-sequence-example.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-sequence-example.pbtxt new file mode 100644 index 0000000000..6a4553bbc1 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-sequence-example.pbtxt @@ -0,0 +1,20 @@ +path: "tensorflow.train.SequenceExample" +tf_proto { + descriptor { + name: "SequenceExample" + field { + name: "context" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.Features" + } + field { + name: "feature_lists" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.FeatureLists" + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-server-def.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-server-def.pbtxt new file mode 100644 index 0000000000..83ee7b3eb9 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-server-def.pbtxt @@ -0,0 +1,38 @@ +path: "tensorflow.train.ServerDef" +tf_proto { + descriptor { + name: "ServerDef" + field { + name: "cluster" + number: 1 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.ClusterDef" + } + field { + name: "job_name" + number: 2 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + field { + name: "task_index" + number: 3 + label: LABEL_OPTIONAL + type: TYPE_INT32 + } + field { + name: "default_session_config" + number: 4 + label: LABEL_OPTIONAL + type: TYPE_MESSAGE + type_name: ".tensorflow.ConfigProto" + } + field { + name: "protocol" + number: 5 + label: LABEL_OPTIONAL + type: TYPE_STRING + } + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-server.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-server.pbtxt new file mode 100644 index 0000000000..9b8f185f5b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-server.pbtxt @@ -0,0 +1,29 @@ +path: "tensorflow.train.Server" +tf_class { + is_instance: "<class \'tensorflow.python.training.server_lib.Server\'>" + is_instance: "<type \'object\'>" + member { + name: "server_def" + mtype: "<type \'property\'>" + } + member { + name: "target" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'server_or_cluster_def\', \'job_name\', \'task_index\', \'protocol\', \'config\', \'start\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'True\'], " + } + member_method { + name: "create_local_server" + argspec: "args=[\'config\', \'start\'], varargs=None, keywords=None, defaults=[\'None\', \'True\'], " + } + member_method { + name: "join" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "start" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-session-creator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-creator.pbtxt new file mode 100644 index 0000000000..beb232715f --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-creator.pbtxt @@ -0,0 +1,12 @@ +path: "tensorflow.train.SessionCreator" +tf_class { + is_instance: "<class \'tensorflow.python.training.monitored_session.SessionCreator\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + } + member_method { + name: "create_session" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-session-manager.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-manager.pbtxt new file mode 100644 index 0000000000..448764fe08 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-manager.pbtxt @@ -0,0 +1,21 @@ +path: "tensorflow.train.SessionManager" +tf_class { + is_instance: "<class \'tensorflow.python.training.session_manager.SessionManager\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'local_init_op\', \'ready_op\', \'ready_for_local_init_op\', \'graph\', \'recovery_wait_secs\', \'local_init_run_options\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'30\', \'None\'], " + } + member_method { + name: "prepare_session" + argspec: "args=[\'self\', \'master\', \'init_op\', \'saver\', \'checkpoint_dir\', \'checkpoint_filename_with_path\', \'wait_for_checkpoint\', \'max_wait_secs\', \'config\', \'init_feed_dict\', \'init_fn\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'False\', \'7200\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "recover_session" + argspec: "args=[\'self\', \'master\', \'saver\', \'checkpoint_dir\', \'checkpoint_filename_with_path\', \'wait_for_checkpoint\', \'max_wait_secs\', \'config\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'False\', \'7200\', \'None\'], " + } + member_method { + name: "wait_for_session" + argspec: "args=[\'self\', \'master\', \'config\', \'max_wait_secs\'], varargs=None, keywords=None, defaults=[\'None\', \'inf\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-args.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-args.pbtxt new file mode 100644 index 0000000000..442990893e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-args.pbtxt @@ -0,0 +1,27 @@ +path: "tensorflow.train.SessionRunArgs" +tf_class { + is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunArgs\'>" + is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunArgs\'>" + is_instance: "<type \'tuple\'>" + member { + name: "feed_dict" + mtype: "<type \'property\'>" + } + member { + name: "fetches" + mtype: "<type \'property\'>" + } + member { + name: "options" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + } + member_method { + name: "count" + } + member_method { + name: "index" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-context.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-context.pbtxt new file mode 100644 index 0000000000..d5adb15c95 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-context.pbtxt @@ -0,0 +1,25 @@ +path: "tensorflow.train.SessionRunContext" +tf_class { + is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunContext\'>" + is_instance: "<type \'object\'>" + member { + name: "original_args" + mtype: "<type \'property\'>" + } + member { + name: "session" + mtype: "<type \'property\'>" + } + member { + name: "stop_requested" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'original_args\', \'session\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "request_stop" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-hook.pbtxt new file mode 100644 index 0000000000..db1aa24acf --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-hook.pbtxt @@ -0,0 +1,28 @@ +path: "tensorflow.train.SessionRunHook" +tf_class { + is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + } + member_method { + name: "after_create_session" + argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "after_run" + argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "before_run" + argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "begin" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "end" + argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-values.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-values.pbtxt new file mode 100644 index 0000000000..0b401d59c4 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-session-run-values.pbtxt @@ -0,0 +1,27 @@ +path: "tensorflow.train.SessionRunValues" +tf_class { + is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunValues\'>" + is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunValues\'>" + is_instance: "<type \'tuple\'>" + member { + name: "options" + mtype: "<type \'property\'>" + } + member { + name: "results" + mtype: "<type \'property\'>" + } + member { + name: "run_metadata" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + } + member_method { + name: "count" + } + member_method { + name: "index" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-singular-monitored-session.-step-context.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-singular-monitored-session.-step-context.pbtxt new file mode 100644 index 0000000000..36d8ce7ff8 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-singular-monitored-session.-step-context.pbtxt @@ -0,0 +1,21 @@ +path: "tensorflow.train.SingularMonitoredSession.StepContext" +tf_class { + is_instance: "<class \'tensorflow.python.training.monitored_session.StepContext\'>" + is_instance: "<type \'object\'>" + member { + name: "session" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'session\', \'run_with_hooks_fn\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "request_stop" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "run_with_hooks" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-singular-monitored-session.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-singular-monitored-session.pbtxt new file mode 100644 index 0000000000..de0f2c1c1a --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-singular-monitored-session.pbtxt @@ -0,0 +1,38 @@ +path: "tensorflow.train.SingularMonitoredSession" +tf_class { + is_instance: "<class \'tensorflow.python.training.monitored_session.SingularMonitoredSession\'>" + is_instance: "<class \'tensorflow.python.training.monitored_session._MonitoredSession\'>" + is_instance: "<type \'object\'>" + member { + name: "StepContext" + mtype: "<type \'type\'>" + } + member { + name: "graph" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'hooks\', \'scaffold\', \'master\', \'config\', \'checkpoint_dir\', \'stop_grace_period_secs\', \'checkpoint_filename_with_path\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'\', \'None\', \'None\', \'120\', \'None\'], " + } + member_method { + name: "close" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "raw_session" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "run" + argspec: "args=[\'self\', \'fetches\', \'feed_dict\', \'options\', \'run_metadata\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], " + } + member_method { + name: "run_step_fn" + argspec: "args=[\'self\', \'step_fn\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "should_stop" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-step-counter-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-step-counter-hook.pbtxt new file mode 100644 index 0000000000..13261f6dde --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-step-counter-hook.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.train.StepCounterHook" +tf_class { + is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.StepCounterHook\'>" + is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'every_n_steps\', \'every_n_secs\', \'output_dir\', \'summary_writer\'], varargs=None, keywords=None, defaults=[\'100\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "after_create_session" + argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "after_run" + argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "before_run" + argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "begin" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "end" + argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-stop-at-step-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-stop-at-step-hook.pbtxt new file mode 100644 index 0000000000..e388599b0b --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-stop-at-step-hook.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.train.StopAtStepHook" +tf_class { + is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.StopAtStepHook\'>" + is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'num_steps\', \'last_step\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "after_create_session" + argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "after_run" + argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "before_run" + argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "begin" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "end" + argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-summary-saver-hook.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-summary-saver-hook.pbtxt new file mode 100644 index 0000000000..697c3667b0 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-summary-saver-hook.pbtxt @@ -0,0 +1,30 @@ +path: "tensorflow.train.SummarySaverHook" +tf_class { + is_instance: "<class \'tensorflow.python.training.basic_session_run_hooks.SummarySaverHook\'>" + is_instance: "<class \'tensorflow.python.training.session_run_hook.SessionRunHook\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'save_steps\', \'save_secs\', \'output_dir\', \'summary_writer\', \'scaffold\', \'summary_op\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "after_create_session" + argspec: "args=[\'self\', \'session\', \'coord\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "after_run" + argspec: "args=[\'self\', \'run_context\', \'run_values\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "before_run" + argspec: "args=[\'self\', \'run_context\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "begin" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "end" + argspec: "args=[\'self\', \'session\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-supervisor.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-supervisor.pbtxt new file mode 100644 index 0000000000..9677e5a98e --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-supervisor.pbtxt @@ -0,0 +1,153 @@ +path: "tensorflow.train.Supervisor" +tf_class { + is_instance: "<class \'tensorflow.python.training.supervisor.Supervisor\'>" + is_instance: "<type \'object\'>" + member { + name: "USE_DEFAULT" + mtype: "<type \'int\'>" + } + member { + name: "coord" + mtype: "<type \'property\'>" + } + member { + name: "global_step" + mtype: "<type \'property\'>" + } + member { + name: "init_feed_dict" + mtype: "<type \'property\'>" + } + member { + name: "init_op" + mtype: "<type \'property\'>" + } + member { + name: "is_chief" + mtype: "<type \'property\'>" + } + member { + name: "ready_for_local_init_op" + mtype: "<type \'property\'>" + } + member { + name: "ready_op" + mtype: "<type \'property\'>" + } + member { + name: "save_model_secs" + mtype: "<type \'property\'>" + } + member { + name: "save_path" + mtype: "<type \'property\'>" + } + member { + name: "save_summaries_secs" + mtype: "<type \'property\'>" + } + member { + name: "saver" + mtype: "<type \'property\'>" + } + member { + name: "session_manager" + mtype: "<type \'property\'>" + } + member { + name: "summary_op" + mtype: "<type \'property\'>" + } + member { + name: "summary_writer" + mtype: "<type \'property\'>" + } + member_method { + name: "Loop" + argspec: "args=[\'self\', \'timer_interval_secs\', \'target\', \'args\', \'kwargs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "PrepareSession" + argspec: "args=[\'self\', \'master\', \'config\', \'wait_for_checkpoint\', \'max_wait_secs\', \'start_standard_services\'], varargs=None, keywords=None, defaults=[\'\', \'None\', \'False\', \'7200\', \'True\'], " + } + member_method { + name: "RequestStop" + argspec: "args=[\'self\', \'ex\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "ShouldStop" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "StartQueueRunners" + argspec: "args=[\'self\', \'sess\', \'queue_runners\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "StartStandardServices" + argspec: "args=[\'self\', \'sess\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "Stop" + argspec: "args=[\'self\', \'threads\', \'close_summary_writer\', \'ignore_live_threads\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'False\'], " + } + member_method { + name: "StopOnException" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "SummaryComputed" + argspec: "args=[\'self\', \'sess\', \'summary\', \'global_step\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "WaitForStop" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'graph\', \'ready_op\', \'ready_for_local_init_op\', \'is_chief\', \'init_op\', \'init_feed_dict\', \'local_init_op\', \'logdir\', \'summary_op\', \'saver\', \'global_step\', \'save_summaries_secs\', \'save_model_secs\', \'recovery_wait_secs\', \'stop_grace_secs\', \'checkpoint_basename\', \'session_manager\', \'summary_writer\', \'init_fn\', \'local_init_run_options\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'0\', \'True\', \'0\', \'None\', \'0\', \'None\', \'0\', \'0\', \'0\', \'120\', \'600\', \'30\', \'120\', \'model.ckpt\', \'None\', \'0\', \'None\', \'None\'], " + } + member_method { + name: "loop" + argspec: "args=[\'self\', \'timer_interval_secs\', \'target\', \'args\', \'kwargs\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "managed_session" + argspec: "args=[], varargs=args, keywords=kwds, defaults=None" + } + member_method { + name: "prepare_or_wait_for_session" + argspec: "args=[\'self\', \'master\', \'config\', \'wait_for_checkpoint\', \'max_wait_secs\', \'start_standard_services\'], varargs=None, keywords=None, defaults=[\'\', \'None\', \'False\', \'7200\', \'True\'], " + } + member_method { + name: "request_stop" + argspec: "args=[\'self\', \'ex\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "should_stop" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "start_queue_runners" + argspec: "args=[\'self\', \'sess\', \'queue_runners\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "start_standard_services" + argspec: "args=[\'self\', \'sess\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "stop" + argspec: "args=[\'self\', \'threads\', \'close_summary_writer\', \'ignore_live_threads\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'False\'], " + } + member_method { + name: "stop_on_exception" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "summary_computed" + argspec: "args=[\'self\', \'sess\', \'summary\', \'global_step\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "wait_for_stop" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-sync-replicas-optimizer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-sync-replicas-optimizer.pbtxt new file mode 100644 index 0000000000..2c0fda3c72 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-sync-replicas-optimizer.pbtxt @@ -0,0 +1,63 @@ +path: "tensorflow.train.SyncReplicasOptimizer" +tf_class { + is_instance: "<class \'tensorflow.python.training.sync_replicas_optimizer.SyncReplicasOptimizer\'>" + is_instance: "<class \'tensorflow.python.training.optimizer.Optimizer\'>" + is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>" + is_instance: "<type \'object\'>" + member { + name: "GATE_GRAPH" + mtype: "<type \'int\'>" + } + member { + name: "GATE_NONE" + mtype: "<type \'int\'>" + } + member { + name: "GATE_OP" + mtype: "<type \'int\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'opt\', \'replicas_to_aggregate\', \'total_num_replicas\', \'variable_averages\', \'variables_to_average\', \'use_locking\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'False\', \'sync_replicas\'], " + } + member_method { + name: "apply_gradients" + argspec: "args=[\'self\', \'grads_and_vars\', \'global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "compute_gradients" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "get_chief_queue_runner" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_init_tokens_op" + argspec: "args=[\'self\', \'num_tokens\'], varargs=None, keywords=None, defaults=[\'-1\'], " + } + member_method { + name: "get_name" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_slot" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "get_slot_names" + argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "make_session_run_hook" + argspec: "args=[\'self\', \'is_chief\', \'num_tokens\'], varargs=None, keywords=None, defaults=[\'-1\'], " + } + member_method { + name: "minimize" + argspec: "args=[\'self\', \'loss\', \'global_step\', \'var_list\', \'gate_gradients\', \'aggregation_method\', \'colocate_gradients_with_ops\', \'name\', \'grad_loss\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "variables" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-vocab-info.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-vocab-info.pbtxt new file mode 100644 index 0000000000..4ce7cb1111 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-vocab-info.pbtxt @@ -0,0 +1,39 @@ +path: "tensorflow.train.VocabInfo" +tf_class { + is_instance: "<class \'tensorflow.python.training.warm_starting_util.VocabInfo\'>" + is_instance: "<class \'tensorflow.python.training.warm_starting_util.VocabInfo\'>" + is_instance: "<type \'tuple\'>" + member { + name: "backup_initializer" + mtype: "<type \'property\'>" + } + member { + name: "new_vocab" + mtype: "<type \'property\'>" + } + member { + name: "new_vocab_size" + mtype: "<type \'property\'>" + } + member { + name: "num_oov_buckets" + mtype: "<type \'property\'>" + } + member { + name: "old_vocab" + mtype: "<type \'property\'>" + } + member { + name: "old_vocab_size" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + } + member_method { + name: "count" + } + member_method { + name: "index" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.-worker-session-creator.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.-worker-session-creator.pbtxt new file mode 100644 index 0000000000..ac26358068 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.-worker-session-creator.pbtxt @@ -0,0 +1,14 @@ +path: "tensorflow.train.WorkerSessionCreator" +tf_class { + is_instance: "<class \'tensorflow.python.training.monitored_session.WorkerSessionCreator\'>" + is_instance: "<class \'tensorflow.python.training.monitored_session.SessionCreator\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'scaffold\', \'master\', \'config\', \'max_wait_secs\'], varargs=None, keywords=None, defaults=[\'None\', \'\', \'None\', \'1800\'], " + } + member_method { + name: "create_session" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.pbtxt new file mode 100644 index 0000000000..b0fb04d7d4 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.pbtxt @@ -0,0 +1,459 @@ +path: "tensorflow.train" +tf_module { + member { + name: "AdadeltaOptimizer" + mtype: "<type \'type\'>" + } + member { + name: "AdagradDAOptimizer" + mtype: "<type \'type\'>" + } + member { + name: "AdagradOptimizer" + mtype: "<type \'type\'>" + } + member { + name: "AdamOptimizer" + mtype: "<type \'type\'>" + } + member { + name: "BytesList" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "Checkpoint" + mtype: "<type \'type\'>" + } + member { + name: "CheckpointSaverHook" + mtype: "<type \'type\'>" + } + member { + name: "CheckpointSaverListener" + mtype: "<type \'type\'>" + } + member { + name: "ChiefSessionCreator" + mtype: "<type \'type\'>" + } + member { + name: "ClusterDef" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "ClusterSpec" + mtype: "<type \'type\'>" + } + member { + name: "Coordinator" + mtype: "<type \'type\'>" + } + member { + name: "Example" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "ExponentialMovingAverage" + mtype: "<type \'type\'>" + } + member { + name: "Feature" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "FeatureList" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "FeatureLists" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "Features" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "FeedFnHook" + mtype: "<type \'type\'>" + } + member { + name: "FinalOpsHook" + mtype: "<type \'type\'>" + } + member { + name: "FloatList" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "FtrlOptimizer" + mtype: "<type \'type\'>" + } + member { + name: "GlobalStepWaiterHook" + mtype: "<type \'type\'>" + } + member { + name: "GradientDescentOptimizer" + mtype: "<type \'type\'>" + } + member { + name: "Int64List" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "JobDef" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "LoggingTensorHook" + mtype: "<type \'type\'>" + } + member { + name: "LooperThread" + mtype: "<type \'type\'>" + } + member { + name: "MomentumOptimizer" + mtype: "<type \'type\'>" + } + member { + name: "MonitoredSession" + mtype: "<type \'type\'>" + } + member { + name: "NanLossDuringTrainingError" + mtype: "<type \'type\'>" + } + member { + name: "NanTensorHook" + mtype: "<type \'type\'>" + } + member { + name: "Optimizer" + mtype: "<type \'type\'>" + } + member { + name: "ProfilerHook" + mtype: "<type \'type\'>" + } + member { + name: "ProximalAdagradOptimizer" + mtype: "<type \'type\'>" + } + member { + name: "ProximalGradientDescentOptimizer" + mtype: "<type \'type\'>" + } + member { + name: "QueueRunner" + mtype: "<type \'type\'>" + } + member { + name: "RMSPropOptimizer" + mtype: "<type \'type\'>" + } + member { + name: "Saver" + mtype: "<type \'type\'>" + } + member { + name: "SaverDef" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "Scaffold" + mtype: "<type \'type\'>" + } + member { + name: "SecondOrStepTimer" + mtype: "<type \'type\'>" + } + member { + name: "SequenceExample" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "Server" + mtype: "<type \'type\'>" + } + member { + name: "ServerDef" + mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>" + } + member { + name: "SessionCreator" + mtype: "<type \'type\'>" + } + member { + name: "SessionManager" + mtype: "<type \'type\'>" + } + member { + name: "SessionRunArgs" + mtype: "<type \'type\'>" + } + member { + name: "SessionRunContext" + mtype: "<type \'type\'>" + } + member { + name: "SessionRunHook" + mtype: "<type \'type\'>" + } + member { + name: "SessionRunValues" + mtype: "<type \'type\'>" + } + member { + name: "SingularMonitoredSession" + mtype: "<type \'type\'>" + } + member { + name: "StepCounterHook" + mtype: "<type \'type\'>" + } + member { + name: "StopAtStepHook" + mtype: "<type \'type\'>" + } + member { + name: "SummarySaverHook" + mtype: "<type \'type\'>" + } + member { + name: "Supervisor" + mtype: "<type \'type\'>" + } + member { + name: "SyncReplicasOptimizer" + mtype: "<type \'type\'>" + } + member { + name: "VocabInfo" + mtype: "<type \'type\'>" + } + member { + name: "WorkerSessionCreator" + mtype: "<type \'type\'>" + } + member { + name: "queue_runner" + mtype: "<type \'module\'>" + } + member_method { + name: "MonitoredTrainingSession" + argspec: "args=[\'master\', \'is_chief\', \'checkpoint_dir\', \'scaffold\', \'hooks\', \'chief_only_hooks\', \'save_checkpoint_secs\', \'save_summaries_steps\', \'save_summaries_secs\', \'config\', \'stop_grace_period_secs\', \'log_step_count_steps\', \'max_wait_secs\', \'save_checkpoint_steps\', \'summary_dir\'], varargs=None, keywords=None, defaults=[\'\', \'True\', \'None\', \'None\', \'None\', \'None\', \'<object object instance>\', \'<object object instance>\', \'<object object instance>\', \'None\', \'120\', \'100\', \'7200\', \'<object object instance>\', \'None\'], " + } + member_method { + name: "NewCheckpointReader" + argspec: "args=[\'filepattern\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "add_queue_runner" + argspec: "args=[\'qr\', \'collection\'], varargs=None, keywords=None, defaults=[\'queue_runners\'], " + } + member_method { + name: "assert_global_step" + argspec: "args=[\'global_step_tensor\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "basic_train_loop" + argspec: "args=[\'supervisor\', \'train_step_fn\', \'args\', \'kwargs\', \'master\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'\'], " + } + member_method { + name: "batch" + argspec: "args=[\'tensors\', \'batch_size\', \'num_threads\', \'capacity\', \'enqueue_many\', \'shapes\', \'dynamic_pad\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'32\', \'False\', \'None\', \'False\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "batch_join" + argspec: "args=[\'tensors_list\', \'batch_size\', \'capacity\', \'enqueue_many\', \'shapes\', \'dynamic_pad\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'32\', \'False\', \'None\', \'False\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "checkpoint_exists" + argspec: "args=[\'checkpoint_prefix\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "cosine_decay" + argspec: "args=[\'learning_rate\', \'global_step\', \'decay_steps\', \'alpha\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'None\'], " + } + member_method { + name: "cosine_decay_restarts" + argspec: "args=[\'learning_rate\', \'global_step\', \'first_decay_steps\', \'t_mul\', \'m_mul\', \'alpha\', \'name\'], varargs=None, keywords=None, defaults=[\'2.0\', \'1.0\', \'0.0\', \'None\'], " + } + member_method { + name: "create_global_step" + argspec: "args=[\'graph\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "do_quantize_training_on_graphdef" + argspec: "args=[\'input_graph\', \'num_bits\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "exponential_decay" + argspec: "args=[\'learning_rate\', \'global_step\', \'decay_steps\', \'decay_rate\', \'staircase\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "export_meta_graph" + argspec: "args=[\'filename\', \'meta_info_def\', \'graph_def\', \'saver_def\', \'collection_list\', \'as_text\', \'graph\', \'export_scope\', \'clear_devices\', \'clear_extraneous_savers\', \'strip_default_attrs\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'False\', \'None\', \'None\', \'False\', \'False\', \'False\'], " + } + member_method { + name: "generate_checkpoint_state_proto" + argspec: "args=[\'save_dir\', \'model_checkpoint_path\', \'all_model_checkpoint_paths\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_checkpoint_mtimes" + argspec: "args=[\'checkpoint_prefixes\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_checkpoint_state" + argspec: "args=[\'checkpoint_dir\', \'latest_filename\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_global_step" + argspec: "args=[\'graph\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "get_or_create_global_step" + argspec: "args=[\'graph\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "global_step" + argspec: "args=[\'sess\', \'global_step_tensor\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "import_meta_graph" + argspec: "args=[\'meta_graph_or_file\', \'clear_devices\', \'import_scope\'], varargs=None, keywords=kwargs, defaults=[\'False\', \'None\'], " + } + member_method { + name: "init_from_checkpoint" + argspec: "args=[\'ckpt_dir_or_file\', \'assignment_map\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "input_producer" + argspec: "args=[\'input_tensor\', \'element_shape\', \'num_epochs\', \'shuffle\', \'seed\', \'capacity\', \'shared_name\', \'summary_name\', \'name\', \'cancel_op\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\', \'None\', \'32\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "inverse_time_decay" + argspec: "args=[\'learning_rate\', \'global_step\', \'decay_steps\', \'decay_rate\', \'staircase\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "latest_checkpoint" + argspec: "args=[\'checkpoint_dir\', \'latest_filename\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "limit_epochs" + argspec: "args=[\'tensor\', \'num_epochs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "linear_cosine_decay" + argspec: "args=[\'learning_rate\', \'global_step\', \'decay_steps\', \'num_periods\', \'alpha\', \'beta\', \'name\'], varargs=None, keywords=None, defaults=[\'0.5\', \'0.0\', \'0.001\', \'None\'], " + } + member_method { + name: "list_variables" + argspec: "args=[\'ckpt_dir_or_file\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "load_checkpoint" + argspec: "args=[\'ckpt_dir_or_file\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "load_variable" + argspec: "args=[\'ckpt_dir_or_file\', \'name\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "match_filenames_once" + argspec: "args=[\'pattern\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "maybe_batch" + argspec: "args=[\'tensors\', \'keep_input\', \'batch_size\', \'num_threads\', \'capacity\', \'enqueue_many\', \'shapes\', \'dynamic_pad\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'32\', \'False\', \'None\', \'False\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "maybe_batch_join" + argspec: "args=[\'tensors_list\', \'keep_input\', \'batch_size\', \'capacity\', \'enqueue_many\', \'shapes\', \'dynamic_pad\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'32\', \'False\', \'None\', \'False\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "maybe_shuffle_batch" + argspec: "args=[\'tensors\', \'batch_size\', \'capacity\', \'min_after_dequeue\', \'keep_input\', \'num_threads\', \'seed\', \'enqueue_many\', \'shapes\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'None\', \'False\', \'None\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "maybe_shuffle_batch_join" + argspec: "args=[\'tensors_list\', \'batch_size\', \'capacity\', \'min_after_dequeue\', \'keep_input\', \'seed\', \'enqueue_many\', \'shapes\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "natural_exp_decay" + argspec: "args=[\'learning_rate\', \'global_step\', \'decay_steps\', \'decay_rate\', \'staircase\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\'], " + } + member_method { + name: "noisy_linear_cosine_decay" + argspec: "args=[\'learning_rate\', \'global_step\', \'decay_steps\', \'initial_variance\', \'variance_decay\', \'num_periods\', \'alpha\', \'beta\', \'name\'], varargs=None, keywords=None, defaults=[\'1.0\', \'0.55\', \'0.5\', \'0.0\', \'0.001\', \'None\'], " + } + member_method { + name: "piecewise_constant" + argspec: "args=[\'x\', \'boundaries\', \'values\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "polynomial_decay" + argspec: "args=[\'learning_rate\', \'global_step\', \'decay_steps\', \'end_learning_rate\', \'power\', \'cycle\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0001\', \'1.0\', \'False\', \'None\'], " + } + member_method { + name: "range_input_producer" + argspec: "args=[\'limit\', \'num_epochs\', \'shuffle\', \'seed\', \'capacity\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'None\', \'32\', \'None\', \'None\'], " + } + member_method { + name: "remove_checkpoint" + argspec: "args=[\'checkpoint_prefix\', \'checkpoint_format_version\', \'meta_graph_suffix\'], varargs=None, keywords=None, defaults=[\'2\', \'meta\'], " + } + member_method { + name: "replica_device_setter" + argspec: "args=[\'ps_tasks\', \'ps_device\', \'worker_device\', \'merge_devices\', \'cluster\', \'ps_ops\', \'ps_strategy\'], varargs=None, keywords=None, defaults=[\'0\', \'/job:ps\', \'/job:worker\', \'True\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "sdca_fprint" + argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "sdca_optimizer" + argspec: "args=[\'sparse_example_indices\', \'sparse_feature_indices\', \'sparse_feature_values\', \'dense_features\', \'example_weights\', \'example_labels\', \'sparse_indices\', \'sparse_weights\', \'dense_weights\', \'example_state_data\', \'loss_type\', \'l1\', \'l2\', \'num_loss_partitions\', \'num_inner_iterations\', \'adaptative\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], " + } + member_method { + name: "sdca_shrink_l1" + argspec: "args=[\'weights\', \'l1\', \'l2\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "shuffle_batch" + argspec: "args=[\'tensors\', \'batch_size\', \'capacity\', \'min_after_dequeue\', \'num_threads\', \'seed\', \'enqueue_many\', \'shapes\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'None\', \'False\', \'None\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "shuffle_batch_join" + argspec: "args=[\'tensors_list\', \'batch_size\', \'capacity\', \'min_after_dequeue\', \'seed\', \'enqueue_many\', \'shapes\', \'allow_smaller_final_batch\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\', \'False\', \'None\', \'None\'], " + } + member_method { + name: "slice_input_producer" + argspec: "args=[\'tensor_list\', \'num_epochs\', \'shuffle\', \'seed\', \'capacity\', \'shared_name\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'None\', \'32\', \'None\', \'None\'], " + } + member_method { + name: "start_queue_runners" + argspec: "args=[\'sess\', \'coord\', \'daemon\', \'start\', \'collection\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\', \'True\', \'queue_runners\'], " + } + member_method { + name: "string_input_producer" + argspec: "args=[\'string_tensor\', \'num_epochs\', \'shuffle\', \'seed\', \'capacity\', \'shared_name\', \'name\', \'cancel_op\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'None\', \'32\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "summary_iterator" + argspec: "args=[\'path\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "update_checkpoint_state" + argspec: "args=[\'save_dir\', \'model_checkpoint_path\', \'all_model_checkpoint_paths\', \'latest_filename\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "warm_start" + argspec: "args=[\'ckpt_to_initialize_from\', \'vars_to_warm_start\', \'var_name_to_vocab_info\', \'var_name_to_prev_var_name\'], varargs=None, keywords=None, defaults=[\'.*\', \'None\', \'None\'], " + } + member_method { + name: "write_graph" + argspec: "args=[\'graph_or_graph_def\', \'logdir\', \'name\', \'as_text\'], varargs=None, keywords=None, defaults=[\'True\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.queue_runner.-queue-runner.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.queue_runner.-queue-runner.pbtxt new file mode 100644 index 0000000000..23d402de30 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.queue_runner.-queue-runner.pbtxt @@ -0,0 +1,49 @@ +path: "tensorflow.train.queue_runner.QueueRunner" +tf_class { + is_instance: "<class \'tensorflow.python.training.queue_runner_impl.QueueRunner\'>" + is_instance: "<type \'object\'>" + member { + name: "cancel_op" + mtype: "<type \'property\'>" + } + member { + name: "close_op" + mtype: "<type \'property\'>" + } + member { + name: "enqueue_ops" + mtype: "<type \'property\'>" + } + member { + name: "exceptions_raised" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "queue" + mtype: "<type \'property\'>" + } + member { + name: "queue_closed_exception_types" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'queue\', \'enqueue_ops\', \'close_op\', \'cancel_op\', \'queue_closed_exception_types\', \'queue_runner_def\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "create_threads" + argspec: "args=[\'self\', \'sess\', \'coord\', \'daemon\', \'start\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'False\'], " + } + member_method { + name: "from_proto" + argspec: "args=[\'queue_runner_def\', \'import_scope\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "to_proto" + argspec: "args=[\'self\', \'export_scope\'], varargs=None, keywords=None, defaults=[\'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.train.queue_runner.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.train.queue_runner.pbtxt new file mode 100644 index 0000000000..6e2d043049 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.train.queue_runner.pbtxt @@ -0,0 +1,15 @@ +path: "tensorflow.train.queue_runner" +tf_module { + member { + name: "QueueRunner" + mtype: "<type \'type\'>" + } + member_method { + name: "add_queue_runner" + argspec: "args=[\'qr\', \'collection\'], varargs=None, keywords=None, defaults=[\'queue_runners\'], " + } + member_method { + name: "start_queue_runners" + argspec: "args=[\'sess\', \'coord\', \'daemon\', \'start\', \'collection\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\', \'True\', \'queue_runners\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.truncated_normal_initializer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.truncated_normal_initializer.pbtxt new file mode 100644 index 0000000000..c1e1c230a9 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.truncated_normal_initializer.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.truncated_normal_initializer" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.TruncatedNormal\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'mean\', \'stddev\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.uniform_unit_scaling_initializer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.uniform_unit_scaling_initializer.pbtxt new file mode 100644 index 0000000000..e1b18dc92f --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.uniform_unit_scaling_initializer.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.uniform_unit_scaling_initializer" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.UniformUnitScaling\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'factor\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.variable_scope.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.variable_scope.pbtxt new file mode 100644 index 0000000000..e62dec93e6 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.variable_scope.pbtxt @@ -0,0 +1,9 @@ +path: "tensorflow.variable_scope" +tf_class { + is_instance: "<class \'tensorflow.python.ops.variable_scope.variable_scope\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'name_or_scope\', \'default_name\', \'values\', \'initializer\', \'regularizer\', \'caching_device\', \'partitioner\', \'custom_getter\', \'reuse\', \'dtype\', \'use_resource\', \'constraint\', \'auxiliary_name_scope\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\'], " + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.variance_scaling_initializer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.variance_scaling_initializer.pbtxt new file mode 100644 index 0000000000..09d7bc03b4 --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.variance_scaling_initializer.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.variance_scaling_initializer" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.VarianceScaling\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'scale\', \'mode\', \'distribution\', \'seed\', \'dtype\'], varargs=None, keywords=None, defaults=[\'1.0\', \'fan_in\', \'truncated_normal\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/v2/tensorflow.zeros_initializer.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.zeros_initializer.pbtxt new file mode 100644 index 0000000000..e229b02cee --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.zeros_initializer.pbtxt @@ -0,0 +1,18 @@ +path: "tensorflow.zeros_initializer" +tf_class { + is_instance: "<class \'tensorflow.python.ops.init_ops.Zeros\'>" + is_instance: "<class \'tensorflow.python.ops.init_ops.Initializer\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dtype\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\"], " + } + member_method { + name: "from_config" + argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_config" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/lib/python_object_to_proto_visitor.py b/tensorflow/tools/api/lib/python_object_to_proto_visitor.py index 1cf330e702..3a48cf683c 100644 --- a/tensorflow/tools/api/lib/python_object_to_proto_visitor.py +++ b/tensorflow/tools/api/lib/python_object_to_proto_visitor.py @@ -88,6 +88,9 @@ def _SanitizedMRO(obj): """ return_list = [] for cls in tf_inspect.getmro(obj): + if cls.__name__ == '_NewClass': + # Ignore class created by @deprecated_alias decorator. + continue str_repr = str(cls) return_list.append(str_repr) if 'tensorflow' not in str_repr: diff --git a/tensorflow/tools/api/tests/BUILD b/tensorflow/tools/api/tests/BUILD index 724b12cd47..8764409e4d 100644 --- a/tensorflow/tools/api/tests/BUILD +++ b/tensorflow/tools/api/tests/BUILD @@ -17,7 +17,8 @@ py_test( name = "api_compatibility_test", srcs = ["api_compatibility_test.py"], data = [ - "//tensorflow/tools/api/golden:api_golden", + "//tensorflow/tools/api/golden:api_golden_v1", + "//tensorflow/tools/api/golden:api_golden_v2", "//tensorflow/tools/api/tests:API_UPDATE_WARNING.txt", "//tensorflow/tools/api/tests:README.txt", ], diff --git a/tensorflow/tools/api/tests/api_compatibility_test.py b/tensorflow/tools/api/tests/api_compatibility_test.py index 90375a794f..b65dbc4b7d 100644 --- a/tensorflow/tools/api/tests/api_compatibility_test.py +++ b/tensorflow/tools/api/tests/api_compatibility_test.py @@ -47,7 +47,6 @@ from tensorflow.tools.api.lib import python_object_to_proto_visitor from tensorflow.tools.common import public_api from tensorflow.tools.common import traverse - # FLAGS defined at the bottom: FLAGS = None # DEFINE_boolean, update_goldens, default False: @@ -62,19 +61,25 @@ _VERBOSE_DIFFS_HELP = """ false, only print which libraries have differences. """ -_API_GOLDEN_FOLDER = 'tensorflow/tools/api/golden' +_API_GOLDEN_FOLDER_V1 = 'tensorflow/tools/api/golden/v1' +_API_GOLDEN_FOLDER_V2 = 'tensorflow/tools/api/golden/v2' _TEST_README_FILE = 'tensorflow/tools/api/tests/README.txt' _UPDATE_WARNING_FILE = 'tensorflow/tools/api/tests/API_UPDATE_WARNING.txt' -def _KeyToFilePath(key): - """From a given key, construct a filepath.""" +def _KeyToFilePath(key, api_version): + """From a given key, construct a filepath. + + Filepath will be inside golden folder for api_version. + """ def _ReplaceCapsWithDash(matchobj): match = matchobj.group(0) return '-%s' % (match.lower()) case_insensitive_key = re.sub('([A-Z]{1})', _ReplaceCapsWithDash, key) - return os.path.join(_API_GOLDEN_FOLDER, '%s.pbtxt' % case_insensitive_key) + api_folder = ( + _API_GOLDEN_FOLDER_V2 if api_version == 2 else _API_GOLDEN_FOLDER_V1) + return os.path.join(_API_GOLDEN_FOLDER_V1, '%s.pbtxt' % case_insensitive_key) def _FileNameToKey(filename): @@ -90,6 +95,21 @@ def _FileNameToKey(filename): return api_object_key +def _VerifyNoSubclassOfMessageVisitor(path, parent, unused_children): + """A Visitor that crashes on subclasses of generated proto classes.""" + # If the traversed object is a proto Message class + if not (isinstance(parent, type) and + issubclass(parent, message.Message)): + return + if parent is message.Message: + return + # Check that it is a direct subclass of Message. + if message.Message not in parent.__bases__: + raise NotImplementedError( + 'Object tf.%s is a subclass of a generated proto Message. ' + 'They are not yet supported by the API tools.' % path) + + class ApiCompatibilityTest(test.TestCase): def __init__(self, *args, **kwargs): @@ -112,7 +132,8 @@ class ApiCompatibilityTest(test.TestCase): actual_dict, verbose=False, update_goldens=False, - additional_missing_object_message=''): + additional_missing_object_message='', + api_version=2): """Diff given dicts of protobufs and report differences a readable way. Args: @@ -125,6 +146,7 @@ class ApiCompatibilityTest(test.TestCase): update_goldens: Whether to update goldens when there are diffs found. additional_missing_object_message: Message to print when a symbol is missing. + api_version: TensorFlow API version to test. """ diffs = [] verbose_diffs = [] @@ -150,6 +172,8 @@ class ApiCompatibilityTest(test.TestCase): diff_message = 'New object %s found (added).' % key verbose_diff_message = diff_message else: + # Do not truncate diff + self.maxDiffs = None # pylint: disable=invalid-name # Now we can run an actual proto diff. try: self.assertProtoEquals(expected_dict[key], actual_dict[key]) @@ -180,13 +204,13 @@ class ApiCompatibilityTest(test.TestCase): # If the keys are only in expected, some objects are deleted. # Remove files. for key in only_in_expected: - filepath = _KeyToFilePath(key) + filepath = _KeyToFilePath(key, api_version) file_io.delete_file(filepath) # If the files are only in actual (current library), these are new # modules. Write them to files. Also record all updates in files. for key in only_in_actual | set(updated_keys): - filepath = _KeyToFilePath(key) + filepath = _KeyToFilePath(key, api_version) file_io.write_string_to_file( filepath, text_format.MessageToString(actual_dict[key])) else: @@ -197,43 +221,44 @@ class ApiCompatibilityTest(test.TestCase): logging.info('No differences found between API and golden.') def testNoSubclassOfMessage(self): - - def Visit(path, parent, unused_children): - """A Visitor that crashes on subclasses of generated proto classes.""" - # If the traversed object is a proto Message class - if not (isinstance(parent, type) and - issubclass(parent, message.Message)): - return - if parent is message.Message: - return - # Check that it is a direct subclass of Message. - if message.Message not in parent.__bases__: - raise NotImplementedError( - 'Object tf.%s is a subclass of a generated proto Message. ' - 'They are not yet supported by the API tools.' % path) - visitor = public_api.PublicAPIVisitor(Visit) + visitor = public_api.PublicAPIVisitor(_VerifyNoSubclassOfMessageVisitor) visitor.do_not_descend_map['tf'].append('contrib') + # Skip compat.v1 and compat.v2 since they are validated in separate tests. + visitor.private_map['tf.compat'] = ['v1', 'v2'] traverse.traverse(tf, visitor) - @unittest.skipUnless( - sys.version_info.major == 2, - 'API compabitility test goldens are generated using python2.') - def testAPIBackwardsCompatibility(self): + def testNoSubclassOfMessageV1(self): + if not hasattr(tf.compat, 'v1'): + return + visitor = public_api.PublicAPIVisitor(_VerifyNoSubclassOfMessageVisitor) + visitor.do_not_descend_map['tf'].append('contrib') + traverse.traverse(tf.compat.v1, visitor) + + def testNoSubclassOfMessageV2(self): + if not hasattr(tf.compat, 'v2'): + return + visitor = public_api.PublicAPIVisitor(_VerifyNoSubclassOfMessageVisitor) + visitor.do_not_descend_map['tf'].append('contrib') + traverse.traverse(tf.compat.v2, visitor) + + def _checkBackwardsCompatibility( + self, root, golden_file_pattern, api_version, + additional_private_map=None): # Extract all API stuff. visitor = python_object_to_proto_visitor.PythonObjectToProtoVisitor() public_api_visitor = public_api.PublicAPIVisitor(visitor) public_api_visitor.do_not_descend_map['tf'].append('contrib') - public_api_visitor.do_not_descend_map['tf.GPUOptions'] = ['Experimental'] - traverse.traverse(tf, public_api_visitor) + public_api_visitor.do_not_descend_map['tf.GPUOptions'] = [ + 'Experimental'] + if additional_private_map: + public_api_visitor.private_map.update(additional_private_map) + traverse.traverse(root, public_api_visitor) proto_dict = visitor.GetProtos() # Read all golden files. - expression = os.path.join( - resource_loader.get_root_dir_with_all_resources(), - _KeyToFilePath('*')) - golden_file_list = file_io.get_matching_files(expression) + golden_file_list = file_io.get_matching_files(golden_file_pattern) def _ReadFileToProto(filename): """Read a filename, create a protobuf from its contents.""" @@ -252,7 +277,50 @@ class ApiCompatibilityTest(test.TestCase): golden_proto_dict, proto_dict, verbose=FLAGS.verbose_diffs, - update_goldens=FLAGS.update_goldens) + update_goldens=FLAGS.update_goldens, + api_version=api_version) + + @unittest.skipUnless( + sys.version_info.major == 2, + 'API compabitility test goldens are generated using python2.') + def testAPIBackwardsCompatibility(self): + api_version = 1 + golden_file_pattern = os.path.join( + resource_loader.get_root_dir_with_all_resources(), + _KeyToFilePath('*', api_version)) + self._checkBackwardsCompatibility( + tf, + golden_file_pattern, + api_version, + # Skip compat.v1 and compat.v2 since they are validated + # in separate tests. + additional_private_map={'tf.compat': ['v1', 'v2']}) + + @unittest.skipUnless( + sys.version_info.major == 2, + 'API compabitility test goldens are generated using python2.') + def testAPIBackwardsCompatibilityV1(self): + if not hasattr(tf.compat, 'v1'): + return + api_version = 1 + golden_file_pattern = os.path.join( + resource_loader.get_root_dir_with_all_resources(), + _KeyToFilePath('*', api_version)) + self._checkBackwardsCompatibility( + tf.compat.v1, golden_file_pattern, api_version) + + @unittest.skipUnless( + sys.version_info.major == 2, + 'API compabitility test goldens are generated using python2.') + def testAPIBackwardsCompatibilityV2(self): + if not hasattr(tf.compat, 'v2'): + return + api_version = 1 + golden_file_pattern = os.path.join( + resource_loader.get_root_dir_with_all_resources(), + _KeyToFilePath('*', api_version)) + self._checkBackwardsCompatibility( + tf.compat.v2, golden_file_pattern, api_version) if __name__ == '__main__': diff --git a/tensorflow/tools/ci_build/Dockerfile.cmake b/tensorflow/tools/ci_build/Dockerfile.cmake index e8c3199828..4587bcf891 100644 --- a/tensorflow/tools/ci_build/Dockerfile.cmake +++ b/tensorflow/tools/ci_build/Dockerfile.cmake @@ -28,8 +28,8 @@ RUN pip install --upgrade astor RUN pip install --upgrade gast RUN pip install --upgrade numpy RUN pip install --upgrade termcolor -RUN pip install keras_applications==1.0.2 -RUN pip install keras_preprocessing==1.0.1 +RUN pip install keras_applications==1.0.4 +RUN pip install keras_preprocessing==1.0.2 # Install golang RUN apt-get install -t xenial-backports -y golang-1.9 diff --git a/tensorflow/tools/ci_build/Dockerfile.cpu.ppc64le b/tensorflow/tools/ci_build/Dockerfile.cpu.ppc64le index e879c34bbd..ada2c63880 100644 --- a/tensorflow/tools/ci_build/Dockerfile.cpu.ppc64le +++ b/tensorflow/tools/ci_build/Dockerfile.cpu.ppc64le @@ -7,7 +7,7 @@ COPY install/*.sh /install/ RUN /install/install_bootstrap_deb_packages.sh RUN add-apt-repository -y ppa:openjdk-r/ppa RUN /install/install_deb_packages.sh -RUN apt-get update && apt-get install -y libopenblas-dev +RUN /install/install_openblas_ppc64le.sh RUN /install/install_hdf5_ppc64le.sh RUN /install/install_pip_packages.sh RUN /install/install_bazel_from_source.sh diff --git a/tensorflow/tools/ci_build/Dockerfile.gpu b/tensorflow/tools/ci_build/Dockerfile.gpu index 7591ecc04e..383f9545c9 100644 --- a/tensorflow/tools/ci_build/Dockerfile.gpu +++ b/tensorflow/tools/ci_build/Dockerfile.gpu @@ -14,6 +14,7 @@ RUN /install/install_bootstrap_deb_packages.sh RUN add-apt-repository -y ppa:openjdk-r/ppa && \ add-apt-repository -y ppa:george-edison55/cmake-3.x RUN /install/install_deb_packages.sh + RUN /install/install_pip_packages.sh RUN /install/install_bazel.sh RUN /install/install_golang.sh @@ -22,6 +23,11 @@ RUN /install/install_golang.sh COPY install/.bazelrc /etc/bazel.bazelrc ENV LD_LIBRARY_PATH /usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH +# Link NCCL libray and header where the build script expects them. +RUN mkdir /usr/local/cuda-9.0/lib && \ + ln -s /usr/lib/x86_64-linux-gnu/libnccl.so.2 /usr/local/cuda/lib/libnccl.so.2 && \ + ln -s /usr/include/nccl.h /usr/local/cuda/include/nccl.h + # Configure the build for our CUDA configuration. ENV TF_NEED_CUDA 1 ENV TF_CUDA_COMPUTE_CAPABILITIES 3.0 diff --git a/tensorflow/tools/ci_build/Dockerfile.gpu.ppc64le b/tensorflow/tools/ci_build/Dockerfile.gpu.ppc64le index 8967138747..a404f129ab 100644 --- a/tensorflow/tools/ci_build/Dockerfile.gpu.ppc64le +++ b/tensorflow/tools/ci_build/Dockerfile.gpu.ppc64le @@ -13,7 +13,7 @@ ARG DEBIAN_FRONTEND=noninteractive RUN /install/install_bootstrap_deb_packages.sh RUN add-apt-repository -y ppa:openjdk-r/ppa RUN /install/install_deb_packages.sh -RUN apt-get update && apt-get install -y libopenblas-dev +RUN /install/install_openblas_ppc64le.sh RUN /install/install_hdf5_ppc64le.sh RUN /install/install_pip_packages.sh RUN /install/install_bazel_from_source.sh diff --git a/tensorflow/tools/ci_build/Dockerfile.rbe.cpu b/tensorflow/tools/ci_build/Dockerfile.rbe.cpu index 3bc52b9ed6..7e5860aeec 100644 --- a/tensorflow/tools/ci_build/Dockerfile.rbe.cpu +++ b/tensorflow/tools/ci_build/Dockerfile.rbe.cpu @@ -1,4 +1,4 @@ -FROM launcher.gcr.io/google/rbe-debian8:r327695 +FROM launcher.gcr.io/google/rbe-ubuntu16-04:r327695 LABEL maintainer="Yu Yi <yiyu@google.com>" # Copy install scripts @@ -9,6 +9,6 @@ ENV CC /usr/local/bin/clang ENV CXX /usr/local/bin/clang++ ENV AR /usr/bin/ar -# Run pip install script for RBE Debian8 container. +# Run pip install script for RBE Ubuntu 16-04 container. RUN /install/install_pip_packages_remote.sh RUN /install/install_pip_packages.sh diff --git a/tensorflow/tools/ci_build/builds/android.sh b/tensorflow/tools/ci_build/builds/android.sh index d81793efe0..7c3e308229 100755 --- a/tensorflow/tools/ci_build/builds/android.sh +++ b/tensorflow/tools/ci_build/builds/android.sh @@ -26,13 +26,19 @@ configure_android_workspace # android_full.sh echo "========== TensorFlow Demo Build Test ==========" +TARGETS= +TARGETS+=" //tensorflow/examples/android:tensorflow_demo" +# Also build the Eager Runtime so it remains compatible with Android for the +# benefits of clients like TensorFlow Lite. For now it is enough to build only +# :execute, which what TF Lite needs. +TARGETS+=" //tensorflow/core/common_runtime/eager:execute" # Enable sandboxing so that zip archives don't get incorrectly packaged # in assets/ dir (see https://github.com/bazelbuild/bazel/issues/2334) # TODO(gunan): remove extra flags once sandboxing is enabled for all builds. bazel --bazelrc=/dev/null build \ --compilation_mode=opt --cxxopt=-std=c++11 --fat_apk_cpu=x86_64 \ --spawn_strategy=sandboxed --genrule_strategy=sandboxed \ - //tensorflow/examples/android:tensorflow_demo + ${TARGETS} echo "========== Makefile Build Test ==========" # Test Makefile build just to make sure it still works. diff --git a/tensorflow/tools/ci_build/builds/pip.sh b/tensorflow/tools/ci_build/builds/pip.sh index 883bb93647..fef121ab5a 100755 --- a/tensorflow/tools/ci_build/builds/pip.sh +++ b/tensorflow/tools/ci_build/builds/pip.sh @@ -314,7 +314,10 @@ create_activate_virtualenv_and_install_tensorflow() { # Upgrade pip so it supports tags such as cp27mu, manylinux1 etc. echo "Upgrade pip in virtualenv" - pip install --upgrade pip==9.0.1 + + # NOTE: pip install --upgrade pip leads to a documented TLS issue for + # some versions in python + curl https://bootstrap.pypa.io/get-pip.py | python # Force tensorflow reinstallation. Otherwise it may not get installed from # last build if it had the same version number as previous build. diff --git a/tensorflow/tools/ci_build/builds/run_pip_tests.sh b/tensorflow/tools/ci_build/builds/run_pip_tests.sh index 29680e6882..bbaf59c69a 100755 --- a/tensorflow/tools/ci_build/builds/run_pip_tests.sh +++ b/tensorflow/tools/ci_build/builds/run_pip_tests.sh @@ -97,7 +97,8 @@ fi # TF_BUILD_APPEND_ARGUMENTS any user supplied args. BAZEL_FLAGS="--define=no_tensorflow_py_deps=true --test_lang_filters=py \ --build_tests_only -k --test_tag_filters=${PIP_TEST_FILTER_TAG} \ - --test_timeout 300,450,1200,3600 ${TF_BUILD_APPEND_ARGUMENTS}" + --test_timeout 300,450,1200,3600 ${TF_BUILD_APPEND_ARGUMENTS} \ + --test_output=errors" BAZEL_TEST_TARGETS="//${PIP_TEST_PREFIX}/tensorflow/contrib/... \ //${PIP_TEST_PREFIX}/tensorflow/python/... \ diff --git a/tensorflow/tools/ci_build/ci_build.sh b/tensorflow/tools/ci_build/ci_build.sh index f6a50d3d4c..77265e0f50 100755 --- a/tensorflow/tools/ci_build/ci_build.sh +++ b/tensorflow/tools/ci_build/ci_build.sh @@ -115,6 +115,7 @@ DOCKER_IMG_NAME=$(echo "${DOCKER_IMG_NAME}" | tr '[:upper:]' '[:lower:]') # Print arguments. echo "WORKSPACE: ${WORKSPACE}" +echo "CI_DOCKER_BUILD_EXTRA_PARAMS: ${CI_DOCKER_BUILD_EXTRA_PARAMS[*]}" echo "CI_DOCKER_EXTRA_PARAMS: ${CI_DOCKER_EXTRA_PARAMS[*]}" echo "COMMAND: ${COMMAND[*]}" echo "CI_COMMAND_PREFIX: ${CI_COMMAND_PREFIX[*]}" @@ -126,7 +127,7 @@ echo "" # Build the docker container. echo "Building container (${DOCKER_IMG_NAME})..." -docker build -t ${DOCKER_IMG_NAME} \ +docker build -t ${DOCKER_IMG_NAME} ${CI_DOCKER_BUILD_EXTRA_PARAMS[@]} \ -f "${DOCKERFILE_PATH}" "${DOCKER_CONTEXT_PATH}" # Check docker build status diff --git a/tensorflow/tools/ci_build/ci_parameterized_build.sh b/tensorflow/tools/ci_build/ci_parameterized_build.sh index d49d4b0c49..993894d658 100755 --- a/tensorflow/tools/ci_build/ci_parameterized_build.sh +++ b/tensorflow/tools/ci_build/ci_parameterized_build.sh @@ -131,7 +131,7 @@ BAZEL_CMD="bazel test" BAZEL_BUILD_ONLY_CMD="bazel build" BAZEL_CLEAN_CMD="bazel clean" -DEFAULT_BAZEL_CONFIGS="--config=gcp --config=hdfs" +DEFAULT_BAZEL_CONFIGS="" PIP_CMD="${CI_BUILD_DIR}/builds/pip.sh" PIP_TEST_TUTORIALS_FLAG="--test_tutorials" @@ -150,36 +150,7 @@ BAZEL_TARGET="//tensorflow/... -//tensorflow/compiler/..." if [[ -n "$TF_SKIP_CONTRIB_TESTS" ]]; then BAZEL_TARGET="$BAZEL_TARGET -//tensorflow/contrib/..." else - BAZEL_TARGET="${BAZEL_TARGET} -//tensorflow/contrib/lite/..." - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite:context_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite:framework" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite:interpreter_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite:model_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/toco:toco" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite:simple_memory_arena_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite:string_util_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:activations_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:add_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:basic_rnn_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:concatenation_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:conv_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:depthwise_conv_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:embedding_lookup_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:embedding_lookup_sparse_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:fully_connected_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:hashtable_lookup_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:local_response_norm_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:lsh_projection_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:lstm_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:l2norm_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:mul_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:pooling_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:reshape_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:resize_bilinear_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:skip_gram_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:softmax_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:space_to_depth_test" - BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/kernels:svdf_test" + BAZEL_TARGET="${BAZEL_TARGET} //tensorflow/contrib/lite/..." fi TUT_TEST_DATA_DIR="/tmp/tf_tutorial_test_data" @@ -570,33 +541,35 @@ echo "" TMP_DIR="" DOCKERFILE_FLAG="" -if [[ "${TF_BUILD_PYTHON_VERSION}" == "python3.5" ]] || - [[ "${TF_BUILD_PYTHON_VERSION}" == "python3.6" ]]; then - # Modify Dockerfile for Python3.5 | Python3.6 build - TMP_DIR=$(mktemp -d) - echo "Docker build will occur in temporary directory: ${TMP_DIR}" - - # Copy the files required for the docker build - SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" - cp -r "${SCRIPT_DIR}/install" "${TMP_DIR}/install" || \ - die "ERROR: Failed to copy directory ${SCRIPT_DIR}/install" - - DOCKERFILE="${SCRIPT_DIR}/Dockerfile.${TF_BUILD_CONTAINER_TYPE}" - cp "${DOCKERFILE}" "${TMP_DIR}/" || \ - die "ERROR: Failed to copy Dockerfile at ${DOCKERFILE}" - DOCKERFILE="${TMP_DIR}/Dockerfile.${TF_BUILD_CONTAINER_TYPE}" - - # Replace a line in the Dockerfile - if sed -i \ - "s/RUN \/install\/install_pip_packages.sh/RUN \/install\/install_${TF_BUILD_PYTHON_VERSION}_pip_packages.sh/g" \ - "${DOCKERFILE}" - then - echo "Copied and modified Dockerfile for ${TF_BUILD_PYTHON_VERSION} build: ${DOCKERFILE}" - else - die "ERROR: Faild to copy and modify Dockerfile: ${DOCKERFILE}" - fi +if [[ "${DO_DOCKER}" == "1" ]]; then + if [[ "${TF_BUILD_PYTHON_VERSION}" == "python3.5" ]] || + [[ "${TF_BUILD_PYTHON_VERSION}" == "python3.6" ]]; then + # Modify Dockerfile for Python3.5 | Python3.6 build + TMP_DIR=$(mktemp -d) + echo "Docker build will occur in temporary directory: ${TMP_DIR}" + + # Copy the files required for the docker build + SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" + cp -r "${SCRIPT_DIR}/install" "${TMP_DIR}/install" || \ + die "ERROR: Failed to copy directory ${SCRIPT_DIR}/install" + + DOCKERFILE="${SCRIPT_DIR}/Dockerfile.${TF_BUILD_CONTAINER_TYPE}" + cp "${DOCKERFILE}" "${TMP_DIR}/" || \ + die "ERROR: Failed to copy Dockerfile at ${DOCKERFILE}" + DOCKERFILE="${TMP_DIR}/Dockerfile.${TF_BUILD_CONTAINER_TYPE}" + + # Replace a line in the Dockerfile + if sed -i \ + "s/RUN \/install\/install_pip_packages.sh/RUN \/install\/install_${TF_BUILD_PYTHON_VERSION}_pip_packages.sh/g" \ + "${DOCKERFILE}" + then + echo "Copied and modified Dockerfile for ${TF_BUILD_PYTHON_VERSION} build: ${DOCKERFILE}" + else + die "ERROR: Faild to copy and modify Dockerfile: ${DOCKERFILE}" + fi - DOCKERFILE_FLAG="--dockerfile ${DOCKERFILE}" + DOCKERFILE_FLAG="--dockerfile ${DOCKERFILE}" + fi fi chmod +x ${TMP_SCRIPT} diff --git a/tensorflow/tools/ci_build/ci_sanity.sh b/tensorflow/tools/ci_build/ci_sanity.sh index 05676f9551..866fe95d2b 100755 --- a/tensorflow/tools/ci_build/ci_sanity.sh +++ b/tensorflow/tools/ci_build/ci_sanity.sh @@ -349,12 +349,12 @@ do_external_licenses_check(){ # Blacklist echo ${MISSING_LICENSES_FILE} - grep -e "@bazel_tools//third_party/" -e "@com_google_absl//absl" -e "@org_tensorflow//" -v ${MISSING_LICENSES_FILE} > temp.txt + grep -e "@bazel_tools//third_party/" -e "@com_google_absl//absl" -e "@org_tensorflow//" -e "@com_github_googlecloudplatform_google_cloud_cpp//google" -v ${MISSING_LICENSES_FILE} > temp.txt mv temp.txt ${MISSING_LICENSES_FILE} # Whitelist echo ${EXTRA_LICENSE_FILE} - grep -e "@bazel_tools//src" -e "@bazel_tools//tools/" -e "@com_google_absl//" -e "//external" -e "@local" -v ${EXTRA_LICENSES_FILE} > temp.txt + grep -e "@bazel_tools//src" -e "@bazel_tools//tools/" -e "@com_google_absl//" -e "//external" -e "@local" -e "@com_github_googlecloudplatform_google_cloud_cpp//" -e "@embedded_jdk//" -v ${EXTRA_LICENSES_FILE} > temp.txt mv temp.txt ${EXTRA_LICENSES_FILE} @@ -543,7 +543,7 @@ SANITY_STEPS=("do_pylint PYTHON2" "do_pylint PYTHON3" "do_check_futures_test" "d SANITY_STEPS_DESC=("Python 2 pylint" "Python 3 pylint" "Check that python files have certain __future__ imports" "buildifier check" "bazel nobuild" "pip: license check for external dependencies" "C library: license check for external dependencies" "Java Native Library: license check for external dependencies" "Pip Smoke Test: Checking py_test dependencies exist in pip package" "Check load py_test: Check that BUILD files with py_test target properly load py_test" "Code Link Check: Check there are no broken links" "Test entries in /tensorflow/contrib/cmake/python_{modules|protos|protos_cc}.txt for validity and consistency" "Check file names for cases") INCREMENTAL_FLAG="" -DEFAULT_BAZEL_CONFIGS="--config=hdfs --config=gcp" +DEFAULT_BAZEL_CONFIGS="" # Parse command-line arguments BAZEL_FLAGS=${DEFAULT_BAZEL_CONFIGS} diff --git a/tensorflow/tools/ci_build/gpu_build/parallel_gpu_execute.sh b/tensorflow/tools/ci_build/gpu_build/parallel_gpu_execute.sh index d0816c92b7..75da9bb835 100755 --- a/tensorflow/tools/ci_build/gpu_build/parallel_gpu_execute.sh +++ b/tensorflow/tools/ci_build/gpu_build/parallel_gpu_execute.sh @@ -35,6 +35,30 @@ elif [[ ${BASH_VER_MAJOR} -eq 4 ]] && [[ ${BASH_VER_MINOR} -lt 2 ]]; then exit 1 fi +function is_absolute { + [[ "$1" = /* ]] || [[ "$1" =~ ^[a-zA-Z]:[/\\].* ]] +} + +RUNFILES_MANIFEST_FILE="${TEST_SRCDIR}/MANIFEST" +function rlocation() { + if is_absolute "$1" ; then + # If the file path is already fully specified, simply return it. + echo "$1" + elif [[ -e "$TEST_SRCDIR/$1" ]]; then + # If the file exists in the $TEST_SRCDIR then just use it. + echo "$TEST_SRCDIR/$1" + elif [[ -e "$RUNFILES_MANIFEST_FILE" ]]; then + # If a runfiles manifest file exists then use it. + echo "$(grep "^$1 " "$RUNFILES_MANIFEST_FILE" | sed 's/[^ ]* //')" + fi +} + +TEST_BINARY="$(rlocation $TEST_WORKSPACE/${1#./})" +shift + +# Make sure /var/lock exists, this may not be true under MSYS +mkdir -p /var/lock + TF_GPU_COUNT=${TF_GPU_COUNT:-8} for i in `seq 0 $((TF_GPU_COUNT-1))`; do @@ -45,8 +69,8 @@ for i in `seq 0 $((TF_GPU_COUNT-1))`; do # This export only works within the brackets, so it is isolated to one # single command. export CUDA_VISIBLE_DEVICES=$i - echo "Running test $* on GPU $CUDA_VISIBLE_DEVICES" - $@ + echo "Running test $TEST_BINARY $* on GPU $CUDA_VISIBLE_DEVICES" + "$TEST_BINARY" $@ ) return_code=$? flock -u "$lock_fd" diff --git a/tensorflow/tools/ci_build/install/install_bazel.sh b/tensorflow/tools/ci_build/install/install_bazel.sh index 3e27a94cf2..e284401b8a 100755 --- a/tensorflow/tools/ci_build/install/install_bazel.sh +++ b/tensorflow/tools/ci_build/install/install_bazel.sh @@ -15,7 +15,7 @@ # ============================================================================== # Select bazel version. -BAZEL_VERSION="0.11.0" +BAZEL_VERSION="0.15.0" set +e local_bazel_ver=$(bazel version 2>&1 | grep -i label | awk '{print $3}') diff --git a/tensorflow/tools/ci_build/install/install_bazel_from_source.sh b/tensorflow/tools/ci_build/install/install_bazel_from_source.sh index ddad00c5f0..87be81577d 100755 --- a/tensorflow/tools/ci_build/install/install_bazel_from_source.sh +++ b/tensorflow/tools/ci_build/install/install_bazel_from_source.sh @@ -18,7 +18,7 @@ # It will compile bazel from source and install it in /usr/local/bin # Select bazel version. -BAZEL_VERSION="0.11.0" +BAZEL_VERSION="0.15.0" set +e local_bazel_ver=$(bazel version 2>&1 | grep -i label | awk '{print $3}') diff --git a/tensorflow/tools/ci_build/install/install_openblas_ppc64le.sh b/tensorflow/tools/ci_build/install/install_openblas_ppc64le.sh new file mode 100755 index 0000000000..107cc61ff5 --- /dev/null +++ b/tensorflow/tools/ci_build/install/install_openblas_ppc64le.sh @@ -0,0 +1,29 @@ +#!/usr/bin/env bash +# Copyright 2018 The TensorFlow Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================== + +OPENBLAS_SRC_PATH=/tmp/openblas_src/ +POWER="POWER8" +USE_OPENMP="USE_OPENMP=1" +OPENBLAS_INSTALL_PATH="/usr" +apt-get update +apt-get install -y gfortran gfortran-5 +rm -rf ${OPENBLAS_SRC_PATH} +git clone -b release-0.3.0 https://github.com/xianyi/OpenBLAS ${OPENBLAS_SRC_PATH} +cd ${OPENBLAS_SRC_PATH} +# Pick up fix for OpenBLAS issue 1571 +git cherry-pick -X theirs 961d25e9c7e4a1758adb1dbeaa15187de69dd052 +make TARGET=${POWER} ${USE_OPENMP} FC=gfortran +make PREFIX=${OPENBLAS_INSTALL_PATH} install diff --git a/tensorflow/tools/ci_build/install/install_pip_packages.sh b/tensorflow/tools/ci_build/install/install_pip_packages.sh index 221b5b80fb..bb316ecfc9 100755 --- a/tensorflow/tools/ci_build/install/install_pip_packages.sh +++ b/tensorflow/tools/ci_build/install/install_pip_packages.sh @@ -61,11 +61,11 @@ rm -rf /usr/lib/python3/dist-packages/six* # https://github.com/tensorflow/tensorflow/issues/6968 # This workaround isn't needed for Ubuntu 16.04 or later. if $(cat /etc/*-release | grep -q 14.04); then - pip2 install --no-binary=:all: --upgrade numpy==1.12.0 - pip3 install --no-binary=:all: --upgrade numpy==1.12.0 + pip2 install --no-binary=:all: --upgrade numpy==1.14.5 + pip3 install --no-binary=:all: --upgrade numpy==1.14.5 else - pip2 install --upgrade numpy==1.12.0 - pip3 install --upgrade numpy==1.12.0 + pip2 install --upgrade numpy==1.14.5 + pip3 install --upgrade numpy==1.14.5 fi pip2 install scipy==0.18.1 @@ -115,10 +115,10 @@ pip2 install --upgrade setuptools==39.1.0 pip3 install --upgrade setuptools==39.1.0 # Keras -pip2 install keras_applications==1.0.2 -pip3 install keras_applications==1.0.2 -pip2 install keras_preprocessing==1.0.1 -pip3 install keras_preprocessing==1.0.1 +pip2 install keras_applications==1.0.4 --no-deps +pip3 install keras_applications==1.0.4 --no-deps +pip2 install keras_preprocessing==1.0.2 --no-deps +pip3 install keras_preprocessing==1.0.2 --no-deps # Install last working version of setuptools. pip2 install --upgrade setuptools==39.1.0 diff --git a/tensorflow/tools/ci_build/install/install_python3.5_pip_packages.sh b/tensorflow/tools/ci_build/install/install_python3.5_pip_packages.sh index 45a30c6e82..15e4396ce3 100755 --- a/tensorflow/tools/ci_build/install/install_python3.5_pip_packages.sh +++ b/tensorflow/tools/ci_build/install/install_python3.5_pip_packages.sh @@ -58,7 +58,7 @@ rm -rf /usr/lib/python3/dist-packages/six* # numpy needs to be installed from source to fix segfaults. See: # https://github.com/tensorflow/tensorflow/issues/6968 # This workaround isn't needed for Ubuntu 16.04 or later. -pip3.5 install --no-binary=:all: --upgrade numpy==1.12.0 +pip3.5 install --no-binary=:all: --upgrade numpy==1.14.5 pip3.5 install scipy==0.18.1 @@ -85,8 +85,8 @@ pip3.5 install --upgrade termcolor pip3.5 install --upgrade setuptools==39.1.0 # Keras -pip3.5 install keras_applications==1.0.2 -pip3.5 install keras_preprocessing==1.0.1 +pip3.5 install keras_applications==1.0.4 +pip3.5 install keras_preprocessing==1.0.2 # Install last working version of setuptools. pip3.5 install --upgrade setuptools==39.1.0 diff --git a/tensorflow/tools/ci_build/install/install_python3.6_pip_packages.sh b/tensorflow/tools/ci_build/install/install_python3.6_pip_packages.sh index d66b2aa18a..0fc3eee71c 100755 --- a/tensorflow/tools/ci_build/install/install_python3.6_pip_packages.sh +++ b/tensorflow/tools/ci_build/install/install_python3.6_pip_packages.sh @@ -70,7 +70,7 @@ rm -rf /usr/lib/python3/dist-packages/six* # numpy needs to be installed from source to fix segfaults. See: # https://github.com/tensorflow/tensorflow/issues/6968 # This workaround isn't needed for Ubuntu 16.04 or later. -pip3 install --no-binary=:all: --upgrade numpy==1.12.0 +pip3 install --no-binary=:all: --upgrade numpy==1.14.5 pip3 install scipy==0.18.1 @@ -101,7 +101,7 @@ pip3 install --upgrade termcolor pip3 install --upgrade setuptools==39.1.0 # Keras -pip3.5 install keras_applications==1.0.2 -pip3.5 install keras_preprocessing==1.0.1 +pip3 install keras_applications==1.0.4 +pip3 install keras_preprocessing==1.0.2 # LINT.ThenChange(//tensorflow/tools/ci_build/install/install_python3.5_pip_packages.sh) diff --git a/tensorflow/tools/ci_build/linux/cpu/run_py3_contrib.sh b/tensorflow/tools/ci_build/linux/cpu/run_py3_contrib.sh index 2b68de3c5b..f6fa9251d4 100755 --- a/tensorflow/tools/ci_build/linux/cpu/run_py3_contrib.sh +++ b/tensorflow/tools/ci_build/linux/cpu/run_py3_contrib.sh @@ -34,35 +34,4 @@ yes "" | $PYTHON_BIN_PATH configure.py bazel test --test_tag_filters=-no_oss,-oss_serial,-gpu,-benchmark-test -k \ --jobs=${N_JOBS} --test_timeout 300,450,1200,3600 --config=opt \ --test_size_filters=small,medium --test_output=errors -- \ - //tensorflow/contrib/... \ - -//tensorflow/contrib/lite/... \ - //tensorflow/contrib/lite:context_test \ - //tensorflow/contrib/lite:framework \ - //tensorflow/contrib/lite:interpreter_test \ - //tensorflow/contrib/lite:model_test \ - //tensorflow/contrib/lite/toco:toco \ - //tensorflow/contrib/lite:simple_memory_arena_test \ - //tensorflow/contrib/lite:string_util_test \ - //tensorflow/contrib/lite/kernels:activations_test \ - //tensorflow/contrib/lite/kernels:add_test \ - //tensorflow/contrib/lite/kernels:basic_rnn_test \ - //tensorflow/contrib/lite/kernels:concatenation_test \ - //tensorflow/contrib/lite/kernels:conv_test \ - //tensorflow/contrib/lite/kernels:depthwise_conv_test \ - //tensorflow/contrib/lite/kernels:embedding_lookup_test \ - //tensorflow/contrib/lite/kernels:embedding_lookup_sparse_test \ - //tensorflow/contrib/lite/kernels:fully_connected_test \ - //tensorflow/contrib/lite/testing:generated_zip_tests \ - //tensorflow/contrib/lite/kernels:hashtable_lookup_test \ - //tensorflow/contrib/lite/kernels:local_response_norm_test \ - //tensorflow/contrib/lite/kernels:lsh_projection_test \ - //tensorflow/contrib/lite/kernels:lstm_test \ - //tensorflow/contrib/lite/kernels:l2norm_test \ - //tensorflow/contrib/lite/kernels:mul_test \ - //tensorflow/contrib/lite/kernels:pooling_test \ - //tensorflow/contrib/lite/kernels:reshape_test \ - //tensorflow/contrib/lite/kernels:resize_bilinear_test \ - //tensorflow/contrib/lite/kernels:skip_gram_test \ - //tensorflow/contrib/lite/kernels:softmax_test \ - //tensorflow/contrib/lite/kernels:space_to_depth_test \ - //tensorflow/contrib/lite/kernels:svdf_test + //tensorflow/contrib/... diff --git a/tensorflow/tools/ci_build/linux/mkl/build-dev-container.sh b/tensorflow/tools/ci_build/linux/mkl/build-dev-container.sh index bd16d580f5..a1d91a6123 100755 --- a/tensorflow/tools/ci_build/linux/mkl/build-dev-container.sh +++ b/tensorflow/tools/ci_build/linux/mkl/build-dev-container.sh @@ -25,9 +25,18 @@ function upsearch () { # Set up WORKSPACE. WORKSPACE="${WORKSPACE:-$(upsearch WORKSPACE)}" -TF_DOCKER_BUILD_DEVEL_BRANCH="master" -TF_DOCKER_BUILD_IMAGE_NAME="intel-mkl/tensorflow" -TF_DOCKER_BUILD_VERSION="nightly" + +TF_DOCKER_BUILD_DEVEL_BRANCH=${TF_DOCKER_BUILD_DEVEL_BRANCH:-master} +TF_DOCKER_BUILD_IMAGE_NAME=${TF_DOCKER_BUILD_IMAGE_NAME:-intel-mkl/tensorflow} +TF_DOCKER_BUILD_VERSION=${TF_DOCKER_BUILD_VERSION:-nightly} + +echo "TF_DOCKER_BUILD_DEVEL_BRANCH=${TF_DOCKER_BUILD_DEVEL_BRANCH}" +echo "TF_DOCKER_BUILD_IMAGE_NAME=${TF_DOCKER_BUILD_IMAGE_NAME}" +echo "TF_DOCKER_BUILD_VERSION=${TF_DOCKER_BUILD_VERSION}" + +# Build containers for AVX +# Include the instructions for sandybridge and later, but tune for ivybridge +TF_BAZEL_BUILD_OPTIONS="--config=mkl --copt=-march=sandybridge --copt=-mtune=ivybridge --copt=-O3 --cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0" # build the python 2 container and whl TF_DOCKER_BUILD_TYPE="MKL" \ @@ -35,6 +44,7 @@ TF_DOCKER_BUILD_TYPE="MKL" \ TF_DOCKER_BUILD_DEVEL_BRANCH="${TF_DOCKER_BUILD_DEVEL_BRANCH}" \ TF_DOCKER_BUILD_IMAGE_NAME="${TF_DOCKER_BUILD_IMAGE_NAME}" \ TF_DOCKER_BUILD_VERSION="${TF_DOCKER_BUILD_VERSION}" \ + TF_BAZEL_BUILD_OPTIONS="${TF_BAZEL_BUILD_OPTIONS}" \ ${WORKSPACE}/tensorflow/tools/docker/parameterized_docker_build.sh # build the python 3 container and whl @@ -44,5 +54,29 @@ TF_DOCKER_BUILD_TYPE="MKL" \ TF_DOCKER_BUILD_IMAGE_NAME="${TF_DOCKER_BUILD_IMAGE_NAME}" \ TF_DOCKER_BUILD_VERSION="${TF_DOCKER_BUILD_VERSION}" \ TF_DOCKER_BUILD_PYTHON_VERSION="PYTHON3" \ + TF_BAZEL_BUILD_OPTIONS="${TF_BAZEL_BUILD_OPTIONS}" \ + ${WORKSPACE}/tensorflow/tools/docker/parameterized_docker_build.sh + +# Build containers for AVX2 +# Include the instructions for haswell and later, but tune for broadwell +TF_BAZEL_BUILD_OPTIONS="--config=mkl --copt=-march=haswell --copt=-mtune=broadwell --copt=-O3 --cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0" + +# build the python 2 container and whl +TF_DOCKER_BUILD_TYPE="MKL" \ + TF_DOCKER_BUILD_IS_DEVEL="YES" \ + TF_DOCKER_BUILD_DEVEL_BRANCH="${TF_DOCKER_BUILD_DEVEL_BRANCH}" \ + TF_DOCKER_BUILD_IMAGE_NAME="${TF_DOCKER_BUILD_IMAGE_NAME}" \ + TF_DOCKER_BUILD_VERSION="${TF_DOCKER_BUILD_VERSION}-avx2" \ + TF_BAZEL_BUILD_OPTIONS="${TF_BAZEL_BUILD_OPTIONS}" \ ${WORKSPACE}/tensorflow/tools/docker/parameterized_docker_build.sh +# build the python 3 container and whl +TF_DOCKER_BUILD_TYPE="MKL" \ + TF_DOCKER_BUILD_IS_DEVEL="YES" \ + TF_DOCKER_BUILD_DEVEL_BRANCH="${TF_DOCKER_BUILD_DEVEL_BRANCH}" \ + TF_DOCKER_BUILD_IMAGE_NAME="${TF_DOCKER_BUILD_IMAGE_NAME}" \ + TF_DOCKER_BUILD_VERSION="${TF_DOCKER_BUILD_VERSION}-avx2" \ + TF_DOCKER_BUILD_PYTHON_VERSION="PYTHON3" \ + TF_BAZEL_BUILD_OPTIONS="${TF_BAZEL_BUILD_OPTIONS}" \ + ${WORKSPACE}/tensorflow/tools/docker/parameterized_docker_build.sh + diff --git a/tensorflow/tools/ci_build/update_version.py b/tensorflow/tools/ci_build/update_version.py index 642dde36a7..30c318a58f 100755 --- a/tensorflow/tools/ci_build/update_version.py +++ b/tensorflow/tools/ci_build/update_version.py @@ -248,16 +248,6 @@ def update_md_files(old_version, new_version): replace_string_in_line(r"<version>%s<\/version>" % old_version, "<version>%s</version>" % new_version, filepath) - # Update any links to colab notebooks. - def colab_url(version): - version_string = "%s.%s.%s" % (version.major, version.minor, version.patch) - prefix = "https://colab.research.google.com/github/tensorflow/models/blob/r" - return prefix + version_string + "/" - - replace_string_in_line( - colab_url(old_version), colab_url(new_version), - "%s/docs_src/get_started/eager.md" % TF_SRC_DIR) - def major_minor_change(old_version, new_version): """Check if a major or minor change occurred.""" diff --git a/tensorflow/tools/ci_build/windows/bazel/bazel_test_lib.sh b/tensorflow/tools/ci_build/windows/bazel/bazel_test_lib.sh index a3e07737a4..0482cf619a 100644 --- a/tensorflow/tools/ci_build/windows/bazel/bazel_test_lib.sh +++ b/tensorflow/tools/ci_build/windows/bazel/bazel_test_lib.sh @@ -23,17 +23,20 @@ function run_configure_for_gpu_build { # Enable CUDA support export TF_NEED_CUDA=1 - # TODO(pcloudy): Remove this after TensorFlow uses its own CRSOOTOOL - # for GPU build on Windows - export USE_MSVC_WRAPPER=1 - yes "" | ./configure } -function set_gcs_remote_cache_options { - echo "build --experimental_remote_spawn_cache" >> "${TMP_BAZELRC}" +function set_remote_cache_options { + echo "build --remote_instance_name=projects/tensorflow-testing-cpu" >> "${TMP_BAZELRC}" echo "build --experimental_remote_platform_override='properties:{name:\"build\" value:\"windows-x64\"}'" >> "${TMP_BAZELRC}" - echo "build --remote_http_cache=https://storage.googleapis.com/$GCS_BUCKET_NAME" >> "${TMP_BAZELRC}" + echo "build --remote_cache=remotebuildexecution.googleapis.com" >> "${TMP_BAZELRC}" + echo "build --tls_enabled=true" >> "${TMP_BAZELRC}" + echo "build --remote_timeout=3600" >> "${TMP_BAZELRC}" + echo "build --auth_enabled=true" >> "${TMP_BAZELRC}" + echo "build --spawn_strategy=standalone" >> "${TMP_BAZELRC}" + echo "build --strategy=Javac=standalone" >> "${TMP_BAZELRC}" + echo "build --strategy=Closure=standalone" >> "${TMP_BAZELRC}" + echo "build --genrule_strategy=standalone" >> "${TMP_BAZELRC}" echo "build --google_credentials=$GOOGLE_CLOUD_CREDENTIAL" >> "${TMP_BAZELRC}" } diff --git a/tensorflow/tools/ci_build/windows/bazel/common_env.sh b/tensorflow/tools/ci_build/windows/bazel/common_env.sh index eefa8ee2d5..333a89d3f5 100644 --- a/tensorflow/tools/ci_build/windows/bazel/common_env.sh +++ b/tensorflow/tools/ci_build/windows/bazel/common_env.sh @@ -26,7 +26,8 @@ # * Bazel windows executable copied as "bazel.exe" and included in PATH. # Use a temporary directory with a short name. -export TMPDIR="C:/tmp" +export TMPDIR=${TMPDIR:-"C:/tmp"} +export TMPDIR=$(cygpath -m "$TMPDIR") mkdir -p "$TMPDIR" # Set bash path @@ -49,3 +50,15 @@ export PATH="/c/Program Files/Git/cmd:$PATH" # Make sure we have pip in PATH export PATH="/c/${PYTHON_BASE_PATH}/Scripts:$PATH" + +# Setting default values to CUDA related environment variables +export TF_CUDA_VERSION=${TF_CUDA_VERSION:-9.0} +export TF_CUDNN_VERSION=${TF_CUDNN_VERSION:-7.0} +export TF_CUDA_COMPUTE_CAPABILITIES=${TF_CUDA_COMPUTE_CAPABILITIES:-3.7} +export CUDA_TOOLKIT_PATH=${CUDA_TOOLKIT_PATH:-"C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v${TF_CUDA_VERSION}"} +export CUDNN_INSTALL_PATH=${CUDNN_INSTALL_PATH:-"C:/tools/cuda"} + +# Add Cuda and Cudnn dll directories into PATH +export PATH="$(cygpath -u "${CUDA_TOOLKIT_PATH}")/bin:$PATH" +export PATH="$(cygpath -u "${CUDA_TOOLKIT_PATH}")/extras/CUPTI/libx64:$PATH" +export PATH="$(cygpath -u "${CUDNN_INSTALL_PATH}")/bin:$PATH" diff --git a/tensorflow/tools/ci_build/windows/cpu/pip/build_tf_windows.sh b/tensorflow/tools/ci_build/windows/cpu/pip/build_tf_windows.sh index 5c305f7512..47e0e5dd59 100644 --- a/tensorflow/tools/ci_build/windows/cpu/pip/build_tf_windows.sh +++ b/tensorflow/tools/ci_build/windows/cpu/pip/build_tf_windows.sh @@ -53,30 +53,39 @@ function cleanup { } trap cleanup EXIT -skip_test=0 -release_build=0 +PY_TEST_DIR="py_test_dir" +SKIP_TEST=0 +RELEASE_BUILD=0 +TEST_TARGET="//${PY_TEST_DIR}/tensorflow/python/... \ + //${PY_TEST_DIR}/tensorflow/contrib/... " + +# --skip_test Skip running tests +# --enable_remote_cache Add options to enable remote cache for build and test +# --release_build Build for release, compilation time will be longer to +# ensure performance +# --test_core_only Use tensorflow/python/... as test target +# --test_contrib_only Use tensorflow/contrib/... as test target for ARG in "$@"; do - if [[ "$ARG" == --skip_test ]]; then - skip_test=1 - elif [[ "$ARG" == --enable_gcs_remote_cache ]]; then - set_gcs_remote_cache_options - elif [[ "$ARG" == --release_build ]]; then - release_build=1 - fi + case "$ARG" in + --skip_test) SKIP_TEST=1 ;; + --enable_remote_cache) set_remote_cache_options ;; + --release_build) RELEASE_BUILD=1 ;; + --test_core_only) TEST_TARGET="//${PY_TEST_DIR}/tensorflow/python/..." ;; + --test_contrib_only) TEST_TARGET="//${PY_TEST_DIR}/tensorflow/contrib/..." ;; + *) + esac done -if [[ "$release_build" != 1 ]]; then - # --define=override_eigen_strong_inline=true speeds up the compiling of conv_grad_ops_3d.cc and conv_ops_3d.cc +if [[ "$RELEASE_BUILD" == 1 ]]; then + # Overriding eigen strong inline speeds up the compiling of conv_grad_ops_3d.cc and conv_ops_3d.cc # by 20 minutes. See https://github.com/tensorflow/tensorflow/issues/10521 - # Because this hurts the performance of TF, we don't enable it in release build. - echo "build --define=override_eigen_strong_inline=true" >> "${TMP_BAZELRC}" + # Because this hurts the performance of TF, we don't override it in release build. + export TF_OVERRIDE_EIGEN_STRONG_INLINE=0 +else + export TF_OVERRIDE_EIGEN_STRONG_INLINE=1 fi -# The host and target platforms are the same in Windows build. So we don't have -# to distinct them. This helps avoid building the same targets twice. -echo "build --distinct_host_configuration=false" >> "${TMP_BAZELRC}" - # Enable short object file path to avoid long path issue on Windows. echo "startup --output_user_root=${TMPDIR}" >> "${TMP_BAZELRC}" @@ -88,12 +97,11 @@ run_configure_for_cpu_build bazel build --announce_rc --config=opt tensorflow/tools/pip_package:build_pip_package || exit $? -if [[ "$skip_test" == 1 ]]; then +if [[ "$SKIP_TEST" == 1 ]]; then exit 0 fi # Create a python test directory to avoid package name conflict -PY_TEST_DIR="py_test_dir" create_python_test_dir "${PY_TEST_DIR}" ./bazel-bin/tensorflow/tools/pip_package/build_pip_package "$PWD/${PY_TEST_DIR}" @@ -111,7 +119,7 @@ bazel test --announce_rc --config=opt -k --test_output=errors \ --define=no_tensorflow_py_deps=true --test_lang_filters=py \ --test_tag_filters=-no_pip,-no_windows,-no_oss \ --build_tag_filters=-no_pip,-no_windows,-no_oss --build_tests_only \ + --test_size_filters=small,medium \ --jobs="${N_JOBS}" --test_timeout="300,450,1200,3600" \ --flaky_test_attempts=3 \ - //${PY_TEST_DIR}/tensorflow/python/... \ - //${PY_TEST_DIR}/tensorflow/contrib/... + ${TEST_TARGET} diff --git a/tensorflow/tools/ci_build/windows/gpu/pip/build_tf_windows.sh b/tensorflow/tools/ci_build/windows/gpu/pip/build_tf_windows.sh index 922bb67bbf..e3eee11080 100644 --- a/tensorflow/tools/ci_build/windows/gpu/pip/build_tf_windows.sh +++ b/tensorflow/tools/ci_build/windows/gpu/pip/build_tf_windows.sh @@ -42,12 +42,69 @@ source "tensorflow/tools/ci_build/windows/bazel/common_env.sh" \ source "tensorflow/tools/ci_build/windows/bazel/bazel_test_lib.sh" \ || { echo "Failed to source bazel_test_lib.sh" >&2; exit 1; } +# Recreate an empty bazelrc file under source root +export TMP_BAZELRC=.tmp.bazelrc +rm -f "${TMP_BAZELRC}" +touch "${TMP_BAZELRC}" + +function cleanup { + # Remove all options in .tmp.bazelrc + echo "" > "${TMP_BAZELRC}" +} +trap cleanup EXIT + +PY_TEST_DIR="py_test_dir" + +SKIP_TEST=0 +RELEASE_BUILD=0 +TEST_TARGET="//${PY_TEST_DIR}/tensorflow/python/... \ + //${PY_TEST_DIR}/tensorflow/contrib/... " + +# --skip_test Skip running tests +# --enable_remote_cache Add options to enable remote cache for build and test +# --release_build Build for release, compilation time will be longer to +# ensure performance +# --test_core_only Use tensorflow/python/... as test target +# --test_contrib_only Use tensorflow/contrib/... as test target +for ARG in "$@"; do + case "$ARG" in + --skip_test) SKIP_TEST=1 ;; + --enable_remote_cache) set_remote_cache_options ;; + --release_build) RELEASE_BUILD=1 ;; + --test_core_only) TEST_TARGET="//${PY_TEST_DIR}/tensorflow/python/..." ;; + --test_contrib_only) TEST_TARGET="//${PY_TEST_DIR}/tensorflow/contrib/..." ;; + *) + esac +done + +if [[ "$RELEASE_BUILD" == 1 ]]; then + # Overriding eigen strong inline speeds up the compiling of conv_grad_ops_3d.cc and conv_ops_3d.cc + # by 20 minutes. See https://github.com/tensorflow/tensorflow/issues/10521 + # Because this hurts the performance of TF, we don't override it in release build. + export TF_OVERRIDE_EIGEN_STRONG_INLINE=0 +else + export TF_OVERRIDE_EIGEN_STRONG_INLINE=1 +fi + +# Enable short object file path to avoid long path issue on Windows. +echo "startup --output_user_root=${TMPDIR}" >> "${TMP_BAZELRC}" + +# Disable nvcc warnings to reduce log file size. +echo "build --copt=-nvcc_options=disable-warnings" >> "${TMP_BAZELRC}" + +if ! grep -q "import %workspace%/${TMP_BAZELRC}" .bazelrc; then + echo "import %workspace%/${TMP_BAZELRC}" >> .bazelrc +fi + run_configure_for_gpu_build -bazel build -c opt tensorflow/tools/pip_package:build_pip_package || exit $? +bazel build --announce_rc --config=opt tensorflow/tools/pip_package:build_pip_package || exit $? + +if [[ "$SKIP_TEST" == 1 ]]; then + exit 0 +fi # Create a python test directory to avoid package name conflict -PY_TEST_DIR="py_test_dir" create_python_test_dir "${PY_TEST_DIR}" ./bazel-bin/tensorflow/tools/pip_package/build_pip_package "$PWD/${PY_TEST_DIR}" @@ -56,11 +113,18 @@ create_python_test_dir "${PY_TEST_DIR}" PIP_NAME=$(ls ${PY_TEST_DIR}/tensorflow-*.whl) reinstall_tensorflow_pip ${PIP_NAME} +TF_GPU_COUNT=${TF_GPU_COUNT:-8} + # Define no_tensorflow_py_deps=true so that every py_test has no deps anymore, # which will result testing system installed tensorflow # GPU tests are very flaky when running concurrently, so set local_test_jobs=1 -bazel test -c opt -k --test_output=errors \ +bazel test --announce_rc --config=opt -k --test_output=errors \ + --test_env=TF_GPU_COUNT \ + --run_under=//tensorflow/tools/ci_build/gpu_build:parallel_gpu_execute \ --define=no_tensorflow_py_deps=true --test_lang_filters=py \ - --test_tag_filters=-no_pip,-no_windows,-no_windows_gpu,-no_gpu,-no_pip_gpu,no_oss \ - --build_tag_filters=-no_pip,-no_windows,-no_windows_gpu,-no_gpu,-no_pip_gpu,no_oss \ - --local_test_jobs=1 --build_tests_only //${PY_TEST_DIR}/tensorflow/python/... + --test_tag_filters=-no_pip,-no_windows,-no_windows_gpu,-no_gpu,-no_pip_gpu,-no_oss \ + --build_tag_filters=-no_pip,-no_windows,-no_windows_gpu,-no_gpu,-no_pip_gpu,-no_oss --build_tests_only \ + --test_size_filters=small,medium \ + --local_test_jobs=$TF_GPU_COUNT --test_timeout="300,450,1200,3600" \ + --flaky_test_attempts=3 \ + ${TEST_TARGET} diff --git a/tensorflow/tools/common/public_api.py b/tensorflow/tools/common/public_api.py index e0acead919..09933d266b 100644 --- a/tensorflow/tools/common/public_api.py +++ b/tensorflow/tools/common/public_api.py @@ -50,6 +50,7 @@ class PublicAPIVisitor(object): # Each entry maps a module path to a name to ignore in traversal. self._do_not_descend_map = { 'tf': [ + 'compiler', 'core', 'examples', 'flags', # Don't add flags @@ -69,6 +70,8 @@ class PublicAPIVisitor(object): 'tf.app': ['flags'], # Imported for compatibility between py2/3. 'tf.test': ['mock'], + # Externalized modules of the Keras API. + 'tf.keras': ['applications', 'preprocessing'] } @property diff --git a/tensorflow/tools/compatibility/BUILD b/tensorflow/tools/compatibility/BUILD index b7bfb29aae..55792c51fe 100644 --- a/tensorflow/tools/compatibility/BUILD +++ b/tensorflow/tools/compatibility/BUILD @@ -8,10 +8,17 @@ load( "tf_cc_test", # @unused ) +py_library( + name = "ast_edits", + srcs = ["ast_edits.py"], + srcs_version = "PY2AND3", +) + py_binary( name = "tf_upgrade", srcs = ["tf_upgrade.py"], srcs_version = "PY2AND3", + deps = [":ast_edits"], ) py_test( @@ -26,6 +33,28 @@ py_test( ], ) +py_binary( + name = "tf_upgrade_v2", + srcs = [ + "renames_v2.py", + "tf_upgrade_v2.py", + ], + srcs_version = "PY2AND3", + deps = [":ast_edits"], +) + +py_test( + name = "tf_upgrade_v2_test", + srcs = ["tf_upgrade_v2_test.py"], + srcs_version = "PY2AND3", + deps = [ + ":tf_upgrade_v2", + "//tensorflow/python:client_testlib", + "//tensorflow/python:framework_test_lib", + "@six_archive//:six", + ], +) + # Keep for reference, this test will succeed in 0.11 but fail in 1.0 # py_test( # name = "test_file_v0_11", @@ -62,9 +91,37 @@ py_test( ], ) +genrule( + name = "generate_upgraded_file_v2", + testonly = 1, + srcs = ["testdata/test_file_v1_10.py"], + outs = [ + "test_file_v2_0.py", + "report_v2.txt", + ], + cmd = ("$(location :tf_upgrade_v2)" + + " --infile $(location testdata/test_file_v1_10.py)" + + " --outfile $(location test_file_v2_0.py)" + + " --reportfile $(location report_v2.txt)"), + tools = [":tf_upgrade_v2"], +) + +py_test( + name = "test_file_v2_0", + size = "small", + srcs = ["test_file_v2_0.py"], + srcs_version = "PY2AND3", + deps = [ + "//tensorflow:tensorflow_py", + ], +) + exports_files( [ + "ast_edits.py", "tf_upgrade.py", + "renames_v2.py", "testdata/test_file_v0_11.py", + "testdata/test_file_v1_10.py", ], ) diff --git a/tensorflow/tools/compatibility/ast_edits.py b/tensorflow/tools/compatibility/ast_edits.py new file mode 100644 index 0000000000..23cc4a21a9 --- /dev/null +++ b/tensorflow/tools/compatibility/ast_edits.py @@ -0,0 +1,502 @@ +# Copyright 2016 The TensorFlow Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================== +"""Upgrader for Python scripts according to an API change specification.""" + +from __future__ import absolute_import +from __future__ import division +from __future__ import print_function + +import ast +import collections +import os +import shutil +import sys +import tempfile +import traceback + + +class APIChangeSpec(object): + """This class defines the transformations that need to happen. + + This class must provide the following fields: + + * `function_keyword_renames`: maps function names to a map of old -> new + argument names + * `function_renames`: maps function names to new function names + * `change_to_function`: a set of function names that have changed (for + notifications) + * `function_reorders`: maps functions whose argument order has changed to the + list of arguments in the new order + * `function_handle`: maps function names to custom handlers for the function + + For an example, see `TFAPIChangeSpec`. + """ + + +class _FileEditTuple( + collections.namedtuple("_FileEditTuple", + ["comment", "line", "start", "old", "new"])): + """Each edit that is recorded by a _FileEditRecorder. + + Fields: + comment: A description of the edit and why it was made. + line: The line number in the file where the edit occurs (1-indexed). + start: The line number in the file where the edit occurs (0-indexed). + old: text string to remove (this must match what was in file). + new: text string to add in place of `old`. + """ + + __slots__ = () + + +class _FileEditRecorder(object): + """Record changes that need to be done to the file.""" + + def __init__(self, filename): + # all edits are lists of chars + self._filename = filename + + self._line_to_edit = collections.defaultdict(list) + self._errors = [] + + def process(self, text): + """Process a list of strings, each corresponding to the recorded changes. + + Args: + text: A list of lines of text (assumed to contain newlines) + Returns: + A tuple of the modified text and a textual description of what is done. + Raises: + ValueError: if substitution source location does not have expected text. + """ + + change_report = "" + + # Iterate of each line + for line, edits in self._line_to_edit.items(): + offset = 0 + # sort by column so that edits are processed in order in order to make + # indexing adjustments cumulative for changes that change the string + # length + edits.sort(key=lambda x: x.start) + + # Extract each line to a list of characters, because mutable lists + # are editable, unlike immutable strings. + char_array = list(text[line - 1]) + + # Record a description of the change + change_report += "%r Line %d\n" % (self._filename, line) + change_report += "-" * 80 + "\n\n" + for e in edits: + change_report += "%s\n" % e.comment + change_report += "\n Old: %s" % (text[line - 1]) + + # Make underscore buffers for underlining where in the line the edit was + change_list = [" "] * len(text[line - 1]) + change_list_new = [" "] * len(text[line - 1]) + + # Iterate for each edit + for e in edits: + # Create effective start, end by accounting for change in length due + # to previous edits + start_eff = e.start + offset + end_eff = start_eff + len(e.old) + + # Make sure the edit is changing what it should be changing + old_actual = "".join(char_array[start_eff:end_eff]) + if old_actual != e.old: + raise ValueError("Expected text %r but got %r" % + ("".join(e.old), "".join(old_actual))) + # Make the edit + char_array[start_eff:end_eff] = list(e.new) + + # Create the underline highlighting of the before and after + change_list[e.start:e.start + len(e.old)] = "~" * len(e.old) + change_list_new[start_eff:end_eff] = "~" * len(e.new) + + # Keep track of how to generate effective ranges + offset += len(e.new) - len(e.old) + + # Finish the report comment + change_report += " %s\n" % "".join(change_list) + text[line - 1] = "".join(char_array) + change_report += " New: %s" % (text[line - 1]) + change_report += " %s\n\n" % "".join(change_list_new) + return "".join(text), change_report, self._errors + + def add(self, comment, line, start, old, new, error=None): + """Add a new change that is needed. + + Args: + comment: A description of what was changed + line: Line number (1 indexed) + start: Column offset (0 indexed) + old: old text + new: new text + error: this "edit" is something that cannot be fixed automatically + Returns: + None + """ + + self._line_to_edit[line].append( + _FileEditTuple(comment, line, start, old, new)) + if error: + self._errors.append("%s:%d: %s" % (self._filename, line, error)) + + +class _ASTCallVisitor(ast.NodeVisitor): + """AST Visitor that processes function calls. + + Updates function calls from old API version to new API version using a given + change spec. + """ + + def __init__(self, filename, lines, api_change_spec): + self._filename = filename + self._file_edit = _FileEditRecorder(filename) + self._lines = lines + self._api_change_spec = api_change_spec + + def process(self, lines): + return self._file_edit.process(lines) + + def generic_visit(self, node): + ast.NodeVisitor.generic_visit(self, node) + + def _rename_functions(self, node, full_name): + function_renames = self._api_change_spec.function_renames + try: + new_name = function_renames[full_name] + self._file_edit.add("Renamed function %r to %r" % (full_name, new_name), + node.lineno, node.col_offset, full_name, new_name) + except KeyError: + pass + + def _get_attribute_full_path(self, node): + """Traverse an attribute to generate a full name e.g. tf.foo.bar. + + Args: + node: A Node of type Attribute. + + Returns: + a '.'-delimited full-name or None if the tree was not a simple form. + i.e. `foo()+b).bar` returns None, while `a.b.c` would return "a.b.c". + """ + curr = node + items = [] + while not isinstance(curr, ast.Name): + if not isinstance(curr, ast.Attribute): + return None + items.append(curr.attr) + curr = curr.value + items.append(curr.id) + return ".".join(reversed(items)) + + def _find_true_position(self, node): + """Return correct line number and column offset for a given node. + + This is necessary mainly because ListComp's location reporting reports + the next token after the list comprehension list opening. + + Args: + node: Node for which we wish to know the lineno and col_offset + """ + import re + find_open = re.compile("^\s*(\\[).*$") + find_string_chars = re.compile("['\"]") + + if isinstance(node, ast.ListComp): + # Strangely, ast.ListComp returns the col_offset of the first token + # after the '[' token which appears to be a bug. Workaround by + # explicitly finding the real start of the list comprehension. + line = node.lineno + col = node.col_offset + # loop over lines + while 1: + # Reverse the text to and regular expression search for whitespace + text = self._lines[line - 1] + reversed_preceding_text = text[:col][::-1] + # First find if a [ can be found with only whitespace between it and + # col. + m = find_open.match(reversed_preceding_text) + if m: + new_col_offset = col - m.start(1) - 1 + return line, new_col_offset + else: + if (reversed_preceding_text == "" or + reversed_preceding_text.isspace()): + line = line - 1 + prev_line = self._lines[line - 1] + # TODO(aselle): + # this is poor comment detection, but it is good enough for + # cases where the comment does not contain string literal starting/ + # ending characters. If ast gave us start and end locations of the + # ast nodes rather than just start, we could use string literal + # node ranges to filter out spurious #'s that appear in string + # literals. + comment_start = prev_line.find("#") + if comment_start == -1: + col = len(prev_line) - 1 + elif find_string_chars.search(prev_line[comment_start:]) is None: + col = comment_start + else: + return None, None + else: + return None, None + # Most other nodes return proper locations (with notably does not), but + # it is not possible to use that in an argument. + return node.lineno, node.col_offset + + def visit_Call(self, node): # pylint: disable=invalid-name + """Handle visiting a call node in the AST. + + Args: + node: Current Node + """ + + # Find a simple attribute name path e.g. "tf.foo.bar" + full_name = self._get_attribute_full_path(node.func) + + # Make sure the func is marked as being part of a call + node.func.is_function_for_call = True + + if full_name: + # Call special handlers + function_handles = self._api_change_spec.function_handle + if full_name in function_handles: + function_handles[full_name](self._file_edit, node) + + # Examine any non-keyword argument and make it into a keyword argument + # if reordering required. + function_reorders = self._api_change_spec.function_reorders + function_keyword_renames = ( + self._api_change_spec.function_keyword_renames) + + if full_name in function_reorders: + reordered = function_reorders[full_name] + for idx, arg in enumerate(node.args): + lineno, col_offset = self._find_true_position(arg) + if lineno is None or col_offset is None: + self._file_edit.add( + "Failed to add keyword %r to reordered function %r" % + (reordered[idx], full_name), + arg.lineno, + arg.col_offset, + "", + "", + error="A necessary keyword argument failed to be inserted.") + else: + keyword_arg = reordered[idx] + if (full_name in function_keyword_renames and + keyword_arg in function_keyword_renames[full_name]): + keyword_arg = function_keyword_renames[full_name][keyword_arg] + self._file_edit.add("Added keyword %r to reordered function %r" % + (reordered[idx], full_name), lineno, col_offset, + "", keyword_arg + "=") + + # Examine each keyword argument and convert it to the final renamed form + renamed_keywords = ({} if full_name not in function_keyword_renames else + function_keyword_renames[full_name]) + for keyword in node.keywords: + argkey = keyword.arg + argval = keyword.value + + if argkey in renamed_keywords: + argval_lineno, argval_col_offset = self._find_true_position(argval) + if argval_lineno is not None and argval_col_offset is not None: + # TODO(aselle): We should scan backward to find the start of the + # keyword key. Unfortunately ast does not give you the location of + # keyword keys, so we are forced to infer it from the keyword arg + # value. + key_start = argval_col_offset - len(argkey) - 1 + key_end = key_start + len(argkey) + 1 + if (self._lines[argval_lineno - 1][key_start:key_end] == argkey + + "="): + self._file_edit.add("Renamed keyword argument from %r to %r" % + (argkey, + renamed_keywords[argkey]), argval_lineno, + argval_col_offset - len(argkey) - 1, + argkey + "=", renamed_keywords[argkey] + "=") + continue + self._file_edit.add( + "Failed to rename keyword argument from %r to %r" % + (argkey, renamed_keywords[argkey]), + argval.lineno, + argval.col_offset - len(argkey) - 1, + "", + "", + error="Failed to find keyword lexographically. Fix manually.") + + ast.NodeVisitor.generic_visit(self, node) + + def visit_Attribute(self, node): # pylint: disable=invalid-name + """Handle bare Attributes i.e. [tf.foo, tf.bar]. + + Args: + node: Node that is of type ast.Attribute + """ + full_name = self._get_attribute_full_path(node) + if full_name: + self._rename_functions(node, full_name) + if full_name in self._api_change_spec.change_to_function: + if not hasattr(node, "is_function_for_call"): + new_text = full_name + "()" + self._file_edit.add("Changed %r to %r" % (full_name, new_text), + node.lineno, node.col_offset, full_name, new_text) + + ast.NodeVisitor.generic_visit(self, node) + + +class ASTCodeUpgrader(object): + """Handles upgrading a set of Python files using a given API change spec.""" + + def __init__(self, api_change_spec): + if not isinstance(api_change_spec, APIChangeSpec): + raise TypeError("Must pass APIChangeSpec to ASTCodeUpgrader, got %s" % + type(api_change_spec)) + self._api_change_spec = api_change_spec + + def process_file(self, in_filename, out_filename): + """Process the given python file for incompatible changes. + + Args: + in_filename: filename to parse + out_filename: output file to write to + Returns: + A tuple representing number of files processed, log of actions, errors + """ + + # Write to a temporary file, just in case we are doing an implace modify. + with open(in_filename, "r") as in_file, \ + tempfile.NamedTemporaryFile("w", delete=False) as temp_file: + ret = self.process_opened_file(in_filename, in_file, out_filename, + temp_file) + + shutil.move(temp_file.name, out_filename) + return ret + + # Broad exceptions are required here because ast throws whatever it wants. + # pylint: disable=broad-except + def process_opened_file(self, in_filename, in_file, out_filename, out_file): + """Process the given python file for incompatible changes. + + This function is split out to facilitate StringIO testing from + tf_upgrade_test.py. + + Args: + in_filename: filename to parse + in_file: opened file (or StringIO) + out_filename: output file to write to + out_file: opened file (or StringIO) + Returns: + A tuple representing number of files processed, log of actions, errors + """ + process_errors = [] + text = "-" * 80 + "\n" + text += "Processing file %r\n outputting to %r\n" % (in_filename, + out_filename) + text += "-" * 80 + "\n\n" + + parsed_ast = None + lines = in_file.readlines() + try: + parsed_ast = ast.parse("".join(lines)) + except Exception: + text += "Failed to parse %r\n\n" % in_filename + text += traceback.format_exc() + if parsed_ast: + visitor = _ASTCallVisitor(in_filename, lines, self._api_change_spec) + visitor.visit(parsed_ast) + out_text, new_text, process_errors = visitor.process(lines) + text += new_text + if out_file: + out_file.write(out_text) + text += "\n" + return 1, text, process_errors + + # pylint: enable=broad-except + + def process_tree(self, root_directory, output_root_directory, + copy_other_files): + """Processes upgrades on an entire tree of python files in place. + + Note that only Python files. If you have custom code in other languages, + you will need to manually upgrade those. + + Args: + root_directory: Directory to walk and process. + output_root_directory: Directory to use as base. + copy_other_files: Copy files that are not touched by this converter. + + Returns: + A tuple of files processed, the report string ofr all files, and errors + """ + + # make sure output directory doesn't exist + if output_root_directory and os.path.exists(output_root_directory): + print("Output directory %r must not already exist." % + (output_root_directory)) + sys.exit(1) + + # make sure output directory does not overlap with root_directory + norm_root = os.path.split(os.path.normpath(root_directory)) + norm_output = os.path.split(os.path.normpath(output_root_directory)) + if norm_root == norm_output: + print("Output directory %r same as input directory %r" % + (root_directory, output_root_directory)) + sys.exit(1) + + # Collect list of files to process (we do this to correctly handle if the + # user puts the output directory in some sub directory of the input dir) + files_to_process = [] + files_to_copy = [] + for dir_name, _, file_list in os.walk(root_directory): + py_files = [f for f in file_list if f.endswith(".py")] + copy_files = [f for f in file_list if not f.endswith(".py")] + for filename in py_files: + fullpath = os.path.join(dir_name, filename) + fullpath_output = os.path.join(output_root_directory, + os.path.relpath(fullpath, + root_directory)) + files_to_process.append((fullpath, fullpath_output)) + if copy_other_files: + for filename in copy_files: + fullpath = os.path.join(dir_name, filename) + fullpath_output = os.path.join(output_root_directory, + os.path.relpath( + fullpath, root_directory)) + files_to_copy.append((fullpath, fullpath_output)) + + file_count = 0 + tree_errors = [] + report = "" + report += ("=" * 80) + "\n" + report += "Input tree: %r\n" % root_directory + report += ("=" * 80) + "\n" + + for input_path, output_path in files_to_process: + output_directory = os.path.dirname(output_path) + if not os.path.isdir(output_directory): + os.makedirs(output_directory) + file_count += 1 + _, l_report, l_errors = self.process_file(input_path, output_path) + tree_errors += l_errors + report += l_report + for input_path, output_path in files_to_copy: + output_directory = os.path.dirname(output_path) + if not os.path.isdir(output_directory): + os.makedirs(output_directory) + shutil.copy(input_path, output_path) + return file_count, report, tree_errors diff --git a/tensorflow/tools/compatibility/renames_v2.py b/tensorflow/tools/compatibility/renames_v2.py new file mode 100644 index 0000000000..216aa41b60 --- /dev/null +++ b/tensorflow/tools/compatibility/renames_v2.py @@ -0,0 +1,134 @@ +# Copyright 2018 The TensorFlow Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================== +# pylint: disable=line-too-long +"""List of renames to apply when converting from TF 1.0 to TF 2.0. + +THIS FILE IS AUTOGENERATED: To update, please run: + bazel build tensorflow/tools/compatibility/update:generate_v2_renames_map + bazel-bin/tensorflow/tools/compatibility/update/generate_v2_renames_map +This file should be updated whenever endpoints are deprecated. +""" +from __future__ import absolute_import +from __future__ import division +from __future__ import print_function + +renames = { + 'tf.acos': 'tf.math.acos', + 'tf.acosh': 'tf.math.acosh', + 'tf.add': 'tf.math.add', + 'tf.as_string': 'tf.dtypes.as_string', + 'tf.asin': 'tf.math.asin', + 'tf.asinh': 'tf.math.asinh', + 'tf.atan': 'tf.math.atan', + 'tf.atan2': 'tf.math.atan2', + 'tf.atanh': 'tf.math.atanh', + 'tf.batch_to_space_nd': 'tf.manip.batch_to_space_nd', + 'tf.betainc': 'tf.math.betainc', + 'tf.ceil': 'tf.math.ceil', + 'tf.check_numerics': 'tf.debugging.check_numerics', + 'tf.cholesky': 'tf.linalg.cholesky', + 'tf.cos': 'tf.math.cos', + 'tf.cosh': 'tf.math.cosh', + 'tf.cross': 'tf.linalg.cross', + 'tf.decode_base64': 'tf.io.decode_base64', + 'tf.decode_compressed': 'tf.io.decode_compressed', + 'tf.decode_json_example': 'tf.io.decode_json_example', + 'tf.decode_raw': 'tf.io.decode_raw', + 'tf.dequantize': 'tf.quantization.dequantize', + 'tf.diag': 'tf.linalg.tensor_diag', + 'tf.diag_part': 'tf.linalg.tensor_diag_part', + 'tf.digamma': 'tf.math.digamma', + 'tf.encode_base64': 'tf.io.encode_base64', + 'tf.equal': 'tf.math.equal', + 'tf.erfc': 'tf.math.erfc', + 'tf.exp': 'tf.math.exp', + 'tf.expm1': 'tf.math.expm1', + 'tf.extract_image_patches': 'tf.image.extract_image_patches', + 'tf.fake_quant_with_min_max_args': 'tf.quantization.fake_quant_with_min_max_args', + 'tf.fake_quant_with_min_max_args_gradient': 'tf.quantization.fake_quant_with_min_max_args_gradient', + 'tf.fake_quant_with_min_max_vars': 'tf.quantization.fake_quant_with_min_max_vars', + 'tf.fake_quant_with_min_max_vars_gradient': 'tf.quantization.fake_quant_with_min_max_vars_gradient', + 'tf.fake_quant_with_min_max_vars_per_channel': 'tf.quantization.fake_quant_with_min_max_vars_per_channel', + 'tf.fake_quant_with_min_max_vars_per_channel_gradient': 'tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient', + 'tf.fft': 'tf.spectral.fft', + 'tf.floor': 'tf.math.floor', + 'tf.gather_nd': 'tf.manip.gather_nd', + 'tf.greater': 'tf.math.greater', + 'tf.greater_equal': 'tf.math.greater_equal', + 'tf.ifft': 'tf.spectral.ifft', + 'tf.igamma': 'tf.math.igamma', + 'tf.igammac': 'tf.math.igammac', + 'tf.invert_permutation': 'tf.math.invert_permutation', + 'tf.is_finite': 'tf.debugging.is_finite', + 'tf.is_inf': 'tf.debugging.is_inf', + 'tf.is_nan': 'tf.debugging.is_nan', + 'tf.less': 'tf.math.less', + 'tf.less_equal': 'tf.math.less_equal', + 'tf.lgamma': 'tf.math.lgamma', + 'tf.log': 'tf.math.log', + 'tf.log1p': 'tf.math.log1p', + 'tf.logical_and': 'tf.math.logical_and', + 'tf.logical_not': 'tf.math.logical_not', + 'tf.logical_or': 'tf.math.logical_or', + 'tf.matching_files': 'tf.io.matching_files', + 'tf.matrix_band_part': 'tf.linalg.band_part', + 'tf.matrix_determinant': 'tf.linalg.det', + 'tf.matrix_diag': 'tf.linalg.diag', + 'tf.matrix_diag_part': 'tf.linalg.diag_part', + 'tf.matrix_inverse': 'tf.linalg.inv', + 'tf.matrix_set_diag': 'tf.linalg.set_diag', + 'tf.matrix_solve': 'tf.linalg.solve', + 'tf.matrix_triangular_solve': 'tf.linalg.triangular_solve', + 'tf.maximum': 'tf.math.maximum', + 'tf.minimum': 'tf.math.minimum', + 'tf.not_equal': 'tf.math.not_equal', + 'tf.parse_tensor': 'tf.io.parse_tensor', + 'tf.polygamma': 'tf.math.polygamma', + 'tf.qr': 'tf.linalg.qr', + 'tf.quantized_concat': 'tf.quantization.quantized_concat', + 'tf.read_file': 'tf.io.read_file', + 'tf.reciprocal': 'tf.math.reciprocal', + 'tf.regex_replace': 'tf.strings.regex_replace', + 'tf.reshape': 'tf.manip.reshape', + 'tf.reverse': 'tf.manip.reverse', + 'tf.reverse_v2': 'tf.manip.reverse', + 'tf.rint': 'tf.math.rint', + 'tf.rsqrt': 'tf.math.rsqrt', + 'tf.scatter_nd': 'tf.manip.scatter_nd', + 'tf.segment_max': 'tf.math.segment_max', + 'tf.segment_mean': 'tf.math.segment_mean', + 'tf.segment_min': 'tf.math.segment_min', + 'tf.segment_prod': 'tf.math.segment_prod', + 'tf.segment_sum': 'tf.math.segment_sum', + 'tf.sin': 'tf.math.sin', + 'tf.sinh': 'tf.math.sinh', + 'tf.space_to_batch_nd': 'tf.manip.space_to_batch_nd', + 'tf.squared_difference': 'tf.math.squared_difference', + 'tf.string_join': 'tf.strings.join', + 'tf.string_strip': 'tf.strings.strip', + 'tf.string_to_hash_bucket': 'tf.strings.to_hash_bucket', + 'tf.string_to_hash_bucket_fast': 'tf.strings.to_hash_bucket_fast', + 'tf.string_to_hash_bucket_strong': 'tf.strings.to_hash_bucket_strong', + 'tf.string_to_number': 'tf.strings.to_number', + 'tf.substr': 'tf.strings.substr', + 'tf.tan': 'tf.math.tan', + 'tf.tile': 'tf.manip.tile', + 'tf.unsorted_segment_max': 'tf.math.unsorted_segment_max', + 'tf.unsorted_segment_min': 'tf.math.unsorted_segment_min', + 'tf.unsorted_segment_prod': 'tf.math.unsorted_segment_prod', + 'tf.unsorted_segment_sum': 'tf.math.unsorted_segment_sum', + 'tf.write_file': 'tf.io.write_file', + 'tf.zeta': 'tf.math.zeta' +} diff --git a/tensorflow/tools/compatibility/testdata/test_file_v1_10.py b/tensorflow/tools/compatibility/testdata/test_file_v1_10.py new file mode 100644 index 0000000000..a49035a1a0 --- /dev/null +++ b/tensorflow/tools/compatibility/testdata/test_file_v1_10.py @@ -0,0 +1,34 @@ +# Copyright 2018 The TensorFlow Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================== +"""Tests for tf upgrader.""" + +from __future__ import absolute_import +from __future__ import division +from __future__ import print_function +import tensorflow as tf +from tensorflow.python.framework import test_util +from tensorflow.python.platform import test as test_lib + + +class TestUpgrade(test_util.TensorFlowTestCase): + """Test various APIs that have been changed in 2.0.""" + + def testRenames(self): + with self.test_session(): + self.assertAllClose(1.04719755, tf.acos(0.5).eval()) + self.assertAllClose(0.5, tf.rsqrt(4.0).eval()) + +if __name__ == "__main__": + test_lib.main() diff --git a/tensorflow/tools/compatibility/tf_upgrade.py b/tensorflow/tools/compatibility/tf_upgrade.py index 1f8833582a..96705b1a4c 100644 --- a/tensorflow/tools/compatibility/tf_upgrade.py +++ b/tensorflow/tools/compatibility/tf_upgrade.py @@ -19,491 +19,11 @@ from __future__ import division from __future__ import print_function import argparse -import ast -import collections -import os -import shutil -import sys -import tempfile -import traceback +from tensorflow.tools.compatibility import ast_edits -class APIChangeSpec(object): - """This class defines the transformations that need to happen. - This class must provide the following fields: - - * `function_keyword_renames`: maps function names to a map of old -> new - argument names - * `function_renames`: maps function names to new function names - * `change_to_function`: a set of function names that have changed (for - notifications) - * `function_reorders`: maps functions whose argument order has changed to the - list of arguments in the new order - * `function_handle`: maps function names to custom handlers for the function - - For an example, see `TFAPIChangeSpec`. - """ - - -class _FileEditTuple( - collections.namedtuple("_FileEditTuple", - ["comment", "line", "start", "old", "new"])): - """Each edit that is recorded by a _FileEditRecorder. - - Fields: - comment: A description of the edit and why it was made. - line: The line number in the file where the edit occurs (1-indexed). - start: The line number in the file where the edit occurs (0-indexed). - old: text string to remove (this must match what was in file). - new: text string to add in place of `old`. - """ - - __slots__ = () - - -class _FileEditRecorder(object): - """Record changes that need to be done to the file.""" - - def __init__(self, filename): - # all edits are lists of chars - self._filename = filename - - self._line_to_edit = collections.defaultdict(list) - self._errors = [] - - def process(self, text): - """Process a list of strings, each corresponding to the recorded changes. - - Args: - text: A list of lines of text (assumed to contain newlines) - Returns: - A tuple of the modified text and a textual description of what is done. - Raises: - ValueError: if substitution source location does not have expected text. - """ - - change_report = "" - - # Iterate of each line - for line, edits in self._line_to_edit.items(): - offset = 0 - # sort by column so that edits are processed in order in order to make - # indexing adjustments cumulative for changes that change the string - # length - edits.sort(key=lambda x: x.start) - - # Extract each line to a list of characters, because mutable lists - # are editable, unlike immutable strings. - char_array = list(text[line - 1]) - - # Record a description of the change - change_report += "%r Line %d\n" % (self._filename, line) - change_report += "-" * 80 + "\n\n" - for e in edits: - change_report += "%s\n" % e.comment - change_report += "\n Old: %s" % (text[line - 1]) - - # Make underscore buffers for underlining where in the line the edit was - change_list = [" "] * len(text[line - 1]) - change_list_new = [" "] * len(text[line - 1]) - - # Iterate for each edit - for e in edits: - # Create effective start, end by accounting for change in length due - # to previous edits - start_eff = e.start + offset - end_eff = start_eff + len(e.old) - - # Make sure the edit is changing what it should be changing - old_actual = "".join(char_array[start_eff:end_eff]) - if old_actual != e.old: - raise ValueError("Expected text %r but got %r" % - ("".join(e.old), "".join(old_actual))) - # Make the edit - char_array[start_eff:end_eff] = list(e.new) - - # Create the underline highlighting of the before and after - change_list[e.start:e.start + len(e.old)] = "~" * len(e.old) - change_list_new[start_eff:end_eff] = "~" * len(e.new) - - # Keep track of how to generate effective ranges - offset += len(e.new) - len(e.old) - - # Finish the report comment - change_report += " %s\n" % "".join(change_list) - text[line - 1] = "".join(char_array) - change_report += " New: %s" % (text[line - 1]) - change_report += " %s\n\n" % "".join(change_list_new) - return "".join(text), change_report, self._errors - - def add(self, comment, line, start, old, new, error=None): - """Add a new change that is needed. - - Args: - comment: A description of what was changed - line: Line number (1 indexed) - start: Column offset (0 indexed) - old: old text - new: new text - error: this "edit" is something that cannot be fixed automatically - Returns: - None - """ - - self._line_to_edit[line].append( - _FileEditTuple(comment, line, start, old, new)) - if error: - self._errors.append("%s:%d: %s" % (self._filename, line, error)) - - -class _ASTCallVisitor(ast.NodeVisitor): - """AST Visitor that processes function calls. - - Updates function calls from old API version to new API version using a given - change spec. - """ - - def __init__(self, filename, lines, api_change_spec): - self._filename = filename - self._file_edit = _FileEditRecorder(filename) - self._lines = lines - self._api_change_spec = api_change_spec - - def process(self, lines): - return self._file_edit.process(lines) - - def generic_visit(self, node): - ast.NodeVisitor.generic_visit(self, node) - - def _rename_functions(self, node, full_name): - function_renames = self._api_change_spec.function_renames - try: - new_name = function_renames[full_name] - self._file_edit.add("Renamed function %r to %r" % (full_name, new_name), - node.lineno, node.col_offset, full_name, new_name) - except KeyError: - pass - - def _get_attribute_full_path(self, node): - """Traverse an attribute to generate a full name e.g. tf.foo.bar. - - Args: - node: A Node of type Attribute. - - Returns: - a '.'-delimited full-name or None if the tree was not a simple form. - i.e. `foo()+b).bar` returns None, while `a.b.c` would return "a.b.c". - """ - curr = node - items = [] - while not isinstance(curr, ast.Name): - if not isinstance(curr, ast.Attribute): - return None - items.append(curr.attr) - curr = curr.value - items.append(curr.id) - return ".".join(reversed(items)) - - def _find_true_position(self, node): - """Return correct line number and column offset for a given node. - - This is necessary mainly because ListComp's location reporting reports - the next token after the list comprehension list opening. - - Args: - node: Node for which we wish to know the lineno and col_offset - """ - import re - find_open = re.compile("^\s*(\\[).*$") - find_string_chars = re.compile("['\"]") - - if isinstance(node, ast.ListComp): - # Strangely, ast.ListComp returns the col_offset of the first token - # after the '[' token which appears to be a bug. Workaround by - # explicitly finding the real start of the list comprehension. - line = node.lineno - col = node.col_offset - # loop over lines - while 1: - # Reverse the text to and regular expression search for whitespace - text = self._lines[line - 1] - reversed_preceding_text = text[:col][::-1] - # First find if a [ can be found with only whitespace between it and - # col. - m = find_open.match(reversed_preceding_text) - if m: - new_col_offset = col - m.start(1) - 1 - return line, new_col_offset - else: - if (reversed_preceding_text == "" or - reversed_preceding_text.isspace()): - line = line - 1 - prev_line = self._lines[line - 1] - # TODO(aselle): - # this is poor comment detection, but it is good enough for - # cases where the comment does not contain string literal starting/ - # ending characters. If ast gave us start and end locations of the - # ast nodes rather than just start, we could use string literal - # node ranges to filter out spurious #'s that appear in string - # literals. - comment_start = prev_line.find("#") - if comment_start == -1: - col = len(prev_line) - 1 - elif find_string_chars.search(prev_line[comment_start:]) is None: - col = comment_start - else: - return None, None - else: - return None, None - # Most other nodes return proper locations (with notably does not), but - # it is not possible to use that in an argument. - return node.lineno, node.col_offset - - def visit_Call(self, node): # pylint: disable=invalid-name - """Handle visiting a call node in the AST. - - Args: - node: Current Node - """ - - # Find a simple attribute name path e.g. "tf.foo.bar" - full_name = self._get_attribute_full_path(node.func) - - # Make sure the func is marked as being part of a call - node.func.is_function_for_call = True - - if full_name: - # Call special handlers - function_handles = self._api_change_spec.function_handle - if full_name in function_handles: - function_handles[full_name](self._file_edit, node) - - # Examine any non-keyword argument and make it into a keyword argument - # if reordering required. - function_reorders = self._api_change_spec.function_reorders - function_keyword_renames = ( - self._api_change_spec.function_keyword_renames) - - if full_name in function_reorders: - reordered = function_reorders[full_name] - for idx, arg in enumerate(node.args): - lineno, col_offset = self._find_true_position(arg) - if lineno is None or col_offset is None: - self._file_edit.add( - "Failed to add keyword %r to reordered function %r" % - (reordered[idx], full_name), - arg.lineno, - arg.col_offset, - "", - "", - error="A necessary keyword argument failed to be inserted.") - else: - keyword_arg = reordered[idx] - if (full_name in function_keyword_renames and - keyword_arg in function_keyword_renames[full_name]): - keyword_arg = function_keyword_renames[full_name][keyword_arg] - self._file_edit.add("Added keyword %r to reordered function %r" % - (reordered[idx], full_name), lineno, col_offset, - "", keyword_arg + "=") - - # Examine each keyword argument and convert it to the final renamed form - renamed_keywords = ({} if full_name not in function_keyword_renames else - function_keyword_renames[full_name]) - for keyword in node.keywords: - argkey = keyword.arg - argval = keyword.value - - if argkey in renamed_keywords: - argval_lineno, argval_col_offset = self._find_true_position(argval) - if argval_lineno is not None and argval_col_offset is not None: - # TODO(aselle): We should scan backward to find the start of the - # keyword key. Unfortunately ast does not give you the location of - # keyword keys, so we are forced to infer it from the keyword arg - # value. - key_start = argval_col_offset - len(argkey) - 1 - key_end = key_start + len(argkey) + 1 - if (self._lines[argval_lineno - 1][key_start:key_end] == argkey + - "="): - self._file_edit.add("Renamed keyword argument from %r to %r" % - (argkey, - renamed_keywords[argkey]), argval_lineno, - argval_col_offset - len(argkey) - 1, - argkey + "=", renamed_keywords[argkey] + "=") - continue - self._file_edit.add( - "Failed to rename keyword argument from %r to %r" % - (argkey, renamed_keywords[argkey]), - argval.lineno, - argval.col_offset - len(argkey) - 1, - "", - "", - error="Failed to find keyword lexographically. Fix manually.") - - ast.NodeVisitor.generic_visit(self, node) - - def visit_Attribute(self, node): # pylint: disable=invalid-name - """Handle bare Attributes i.e. [tf.foo, tf.bar]. - - Args: - node: Node that is of type ast.Attribute - """ - full_name = self._get_attribute_full_path(node) - if full_name: - self._rename_functions(node, full_name) - if full_name in self._api_change_spec.change_to_function: - if not hasattr(node, "is_function_for_call"): - new_text = full_name + "()" - self._file_edit.add("Changed %r to %r" % (full_name, new_text), - node.lineno, node.col_offset, full_name, new_text) - - ast.NodeVisitor.generic_visit(self, node) - - -class ASTCodeUpgrader(object): - """Handles upgrading a set of Python files using a given API change spec.""" - - def __init__(self, api_change_spec): - if not isinstance(api_change_spec, APIChangeSpec): - raise TypeError("Must pass APIChangeSpec to ASTCodeUpgrader, got %s" % - type(api_change_spec)) - self._api_change_spec = api_change_spec - - def process_file(self, in_filename, out_filename): - """Process the given python file for incompatible changes. - - Args: - in_filename: filename to parse - out_filename: output file to write to - Returns: - A tuple representing number of files processed, log of actions, errors - """ - - # Write to a temporary file, just in case we are doing an implace modify. - with open(in_filename, "r") as in_file, \ - tempfile.NamedTemporaryFile("w", delete=False) as temp_file: - ret = self.process_opened_file(in_filename, in_file, out_filename, - temp_file) - - shutil.move(temp_file.name, out_filename) - return ret - - # Broad exceptions are required here because ast throws whatever it wants. - # pylint: disable=broad-except - def process_opened_file(self, in_filename, in_file, out_filename, out_file): - """Process the given python file for incompatible changes. - - This function is split out to facilitate StringIO testing from - tf_upgrade_test.py. - - Args: - in_filename: filename to parse - in_file: opened file (or StringIO) - out_filename: output file to write to - out_file: opened file (or StringIO) - Returns: - A tuple representing number of files processed, log of actions, errors - """ - process_errors = [] - text = "-" * 80 + "\n" - text += "Processing file %r\n outputting to %r\n" % (in_filename, - out_filename) - text += "-" * 80 + "\n\n" - - parsed_ast = None - lines = in_file.readlines() - try: - parsed_ast = ast.parse("".join(lines)) - except Exception: - text += "Failed to parse %r\n\n" % in_filename - text += traceback.format_exc() - if parsed_ast: - visitor = _ASTCallVisitor(in_filename, lines, self._api_change_spec) - visitor.visit(parsed_ast) - out_text, new_text, process_errors = visitor.process(lines) - text += new_text - if out_file: - out_file.write(out_text) - text += "\n" - return 1, text, process_errors - - # pylint: enable=broad-except - - def process_tree(self, root_directory, output_root_directory, - copy_other_files): - """Processes upgrades on an entire tree of python files in place. - - Note that only Python files. If you have custom code in other languages, - you will need to manually upgrade those. - - Args: - root_directory: Directory to walk and process. - output_root_directory: Directory to use as base. - copy_other_files: Copy files that are not touched by this converter. - - Returns: - A tuple of files processed, the report string ofr all files, and errors - """ - - # make sure output directory doesn't exist - if output_root_directory and os.path.exists(output_root_directory): - print("Output directory %r must not already exist." % - (output_root_directory)) - sys.exit(1) - - # make sure output directory does not overlap with root_directory - norm_root = os.path.split(os.path.normpath(root_directory)) - norm_output = os.path.split(os.path.normpath(output_root_directory)) - if norm_root == norm_output: - print("Output directory %r same as input directory %r" % - (root_directory, output_root_directory)) - sys.exit(1) - - # Collect list of files to process (we do this to correctly handle if the - # user puts the output directory in some sub directory of the input dir) - files_to_process = [] - files_to_copy = [] - for dir_name, _, file_list in os.walk(root_directory): - py_files = [f for f in file_list if f.endswith(".py")] - copy_files = [f for f in file_list if not f.endswith(".py")] - for filename in py_files: - fullpath = os.path.join(dir_name, filename) - fullpath_output = os.path.join(output_root_directory, - os.path.relpath(fullpath, - root_directory)) - files_to_process.append((fullpath, fullpath_output)) - if copy_other_files: - for filename in copy_files: - fullpath = os.path.join(dir_name, filename) - fullpath_output = os.path.join(output_root_directory, - os.path.relpath( - fullpath, root_directory)) - files_to_copy.append((fullpath, fullpath_output)) - - file_count = 0 - tree_errors = [] - report = "" - report += ("=" * 80) + "\n" - report += "Input tree: %r\n" % root_directory - report += ("=" * 80) + "\n" - - for input_path, output_path in files_to_process: - output_directory = os.path.dirname(output_path) - if not os.path.isdir(output_directory): - os.makedirs(output_directory) - file_count += 1 - _, l_report, l_errors = self.process_file(input_path, output_path) - tree_errors += l_errors - report += l_report - for input_path, output_path in files_to_copy: - output_directory = os.path.dirname(output_path) - if not os.path.isdir(output_directory): - os.makedirs(output_directory) - shutil.copy(input_path, output_path) - return file_count, report, tree_errors - - -class TFAPIChangeSpec(APIChangeSpec): +class TFAPIChangeSpec(ast_edits.APIChangeSpec): """List of maps that describe what changed in the API.""" def __init__(self): @@ -718,7 +238,7 @@ Simple usage: default="report.txt") args = parser.parse_args() - upgrade = ASTCodeUpgrader(TFAPIChangeSpec()) + upgrade = ast_edits.ASTCodeUpgrader(TFAPIChangeSpec()) report_text = None report_filename = args.report_filename files_processed = 0 diff --git a/tensorflow/tools/compatibility/tf_upgrade_test.py b/tensorflow/tools/compatibility/tf_upgrade_test.py index 3d02eacba6..66325ea2ad 100644 --- a/tensorflow/tools/compatibility/tf_upgrade_test.py +++ b/tensorflow/tools/compatibility/tf_upgrade_test.py @@ -22,6 +22,7 @@ import tempfile import six from tensorflow.python.framework import test_util from tensorflow.python.platform import test as test_lib +from tensorflow.tools.compatibility import ast_edits from tensorflow.tools.compatibility import tf_upgrade @@ -36,7 +37,7 @@ class TestUpgrade(test_util.TensorFlowTestCase): def _upgrade(self, old_file_text): in_file = six.StringIO(old_file_text) out_file = six.StringIO() - upgrader = tf_upgrade.ASTCodeUpgrader(tf_upgrade.TFAPIChangeSpec()) + upgrader = ast_edits.ASTCodeUpgrader(tf_upgrade.TFAPIChangeSpec()) count, report, errors = ( upgrader.process_opened_file("test.py", in_file, "test_out.py", out_file)) @@ -139,7 +140,7 @@ class TestUpgradeFiles(test_util.TensorFlowTestCase): upgraded = "tf.multiply(a, b)\n" temp_file.write(original) temp_file.close() - upgrader = tf_upgrade.ASTCodeUpgrader(tf_upgrade.TFAPIChangeSpec()) + upgrader = ast_edits.ASTCodeUpgrader(tf_upgrade.TFAPIChangeSpec()) upgrader.process_file(temp_file.name, temp_file.name) self.assertAllEqual(open(temp_file.name).read(), upgraded) os.unlink(temp_file.name) diff --git a/tensorflow/tools/compatibility/tf_upgrade_v2.py b/tensorflow/tools/compatibility/tf_upgrade_v2.py new file mode 100644 index 0000000000..9702430a12 --- /dev/null +++ b/tensorflow/tools/compatibility/tf_upgrade_v2.py @@ -0,0 +1,115 @@ +# Copyright 2018 The TensorFlow Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================== +"""Upgrader for Python scripts from 1.* TensorFlow to 2.0 TensorFlow.""" + +from __future__ import absolute_import +from __future__ import division +from __future__ import print_function + +import argparse + +from tensorflow.tools.compatibility import ast_edits +from tensorflow.tools.compatibility import renames_v2 + + +class TFAPIChangeSpec(ast_edits.APIChangeSpec): + """List of maps that describe what changed in the API.""" + + def __init__(self): + # Maps from a function name to a dictionary that describes how to + # map from an old argument keyword to the new argument keyword. + self.function_keyword_renames = {} + + # Mapping from function to the new name of the function + self.function_renames = renames_v2.renames + + # Variables that should be changed to functions. + self.change_to_function = {} + + # Functions that were reordered should be changed to the new keyword args + # for safety, if positional arguments are used. If you have reversed the + # positional arguments yourself, this could do the wrong thing. + self.function_reorders = {} + + # Specially handled functions. + self.function_handle = {} + + +if __name__ == "__main__": + parser = argparse.ArgumentParser( + formatter_class=argparse.RawDescriptionHelpFormatter, + description="""Convert a TensorFlow Python file to 2.0 + +Simple usage: + tf_convert_v2.py --infile foo.py --outfile bar.py + tf_convert_v2.py --intree ~/code/old --outtree ~/code/new +""") + parser.add_argument( + "--infile", + dest="input_file", + help="If converting a single file, the name of the file " + "to convert") + parser.add_argument( + "--outfile", + dest="output_file", + help="If converting a single file, the output filename.") + parser.add_argument( + "--intree", + dest="input_tree", + help="If converting a whole tree of files, the directory " + "to read from (relative or absolute).") + parser.add_argument( + "--outtree", + dest="output_tree", + help="If converting a whole tree of files, the output " + "directory (relative or absolute).") + parser.add_argument( + "--copyotherfiles", + dest="copy_other_files", + help=("If converting a whole tree of files, whether to " + "copy the other files."), + type=bool, + default=False) + parser.add_argument( + "--reportfile", + dest="report_filename", + help=("The name of the file where the report log is " + "stored." + "(default: %(default)s)"), + default="report.txt") + args = parser.parse_args() + + upgrade = ast_edits.ASTCodeUpgrader(TFAPIChangeSpec()) + report_text = None + report_filename = args.report_filename + files_processed = 0 + if args.input_file: + files_processed, report_text, errors = upgrade.process_file( + args.input_file, args.output_file) + files_processed = 1 + elif args.input_tree: + files_processed, report_text, errors = upgrade.process_tree( + args.input_tree, args.output_tree, args.copy_other_files) + else: + parser.print_help() + if report_text: + open(report_filename, "w").write(report_text) + print("TensorFlow 2.0 Upgrade Script") + print("-----------------------------") + print("Converted %d files\n" % files_processed) + print("Detected %d errors that require attention" % len(errors)) + print("-" * 80) + print("\n".join(errors)) + print("\nMake sure to read the detailed log %r\n" % report_filename) diff --git a/tensorflow/tools/compatibility/tf_upgrade_v2_test.py b/tensorflow/tools/compatibility/tf_upgrade_v2_test.py new file mode 100644 index 0000000000..57ac04de06 --- /dev/null +++ b/tensorflow/tools/compatibility/tf_upgrade_v2_test.py @@ -0,0 +1,83 @@ +# Copyright 2018 The TensorFlow Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================== +"""Tests for tf 2.0 upgrader.""" + +from __future__ import absolute_import +from __future__ import division +from __future__ import print_function +import os +import tempfile +import six +from tensorflow.python.framework import test_util +from tensorflow.python.platform import test as test_lib +from tensorflow.tools.compatibility import ast_edits +from tensorflow.tools.compatibility import tf_upgrade_v2 + + +class TestUpgrade(test_util.TensorFlowTestCase): + """Test various APIs that have been changed in 2.0. + + We also test whether a converted file is executable. test_file_v1_10.py + aims to exhaustively test that API changes are convertible and actually + work when run with current TensorFlow. + """ + + def _upgrade(self, old_file_text): + in_file = six.StringIO(old_file_text) + out_file = six.StringIO() + upgrader = ast_edits.ASTCodeUpgrader(tf_upgrade_v2.TFAPIChangeSpec()) + count, report, errors = ( + upgrader.process_opened_file("test.py", in_file, + "test_out.py", out_file)) + return count, report, errors, out_file.getvalue() + + def testParseError(self): + _, report, unused_errors, unused_new_text = self._upgrade( + "import tensorflow as tf\na + \n") + self.assertTrue(report.find("Failed to parse") != -1) + + def testReport(self): + text = "tf.acos(a)\n" + _, report, unused_errors, unused_new_text = self._upgrade(text) + # This is not a complete test, but it is a sanity test that a report + # is generating information. + self.assertTrue(report.find("Renamed function `tf.acos` to `tf.math.acos`")) + + def testRename(self): + text = "tf.acos(a)\n" + _, unused_report, unused_errors, new_text = self._upgrade(text) + self.assertEqual(new_text, "tf.math.acos(a)\n") + text = "tf.rsqrt(tf.log(3.8))\n" + _, unused_report, unused_errors, new_text = self._upgrade(text) + self.assertEqual(new_text, "tf.math.rsqrt(tf.math.log(3.8))\n") + + +class TestUpgradeFiles(test_util.TensorFlowTestCase): + + def testInplace(self): + """Check to make sure we don't have a file system race.""" + temp_file = tempfile.NamedTemporaryFile("w", delete=False) + original = "tf.acos(a, b)\n" + upgraded = "tf.math.acos(a, b)\n" + temp_file.write(original) + temp_file.close() + upgrader = ast_edits.ASTCodeUpgrader(tf_upgrade_v2.TFAPIChangeSpec()) + upgrader.process_file(temp_file.name, temp_file.name) + self.assertAllEqual(open(temp_file.name).read(), upgraded) + os.unlink(temp_file.name) + + +if __name__ == "__main__": + test_lib.main() diff --git a/tensorflow/tools/compatibility/update/BUILD b/tensorflow/tools/compatibility/update/BUILD new file mode 100644 index 0000000000..feb37c902e --- /dev/null +++ b/tensorflow/tools/compatibility/update/BUILD @@ -0,0 +1,15 @@ +licenses(["notice"]) # Apache 2.0 + +package(default_visibility = ["//visibility:private"]) + +py_binary( + name = "generate_v2_renames_map", + srcs = ["generate_v2_renames_map.py"], + srcs_version = "PY2AND3", + deps = [ + "//tensorflow:tensorflow_py", + "//tensorflow/python:lib", + "//tensorflow/tools/common:public_api", + "//tensorflow/tools/common:traverse", + ], +) diff --git a/tensorflow/tools/compatibility/update/generate_v2_renames_map.py b/tensorflow/tools/compatibility/update/generate_v2_renames_map.py new file mode 100644 index 0000000000..567eceb0b6 --- /dev/null +++ b/tensorflow/tools/compatibility/update/generate_v2_renames_map.py @@ -0,0 +1,103 @@ +# Copyright 2018 The TensorFlow Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================== +# pylint: disable=line-too-long +"""Script for updating tensorflow/tools/compatibility/renames_v2.py. + +To update renames_v2.py, run: + bazel build tensorflow/tools/compatibility/update:generate_v2_renames_map + bazel-bin/tensorflow/tools/compatibility/update/generate_v2_renames_map +""" +# pylint: enable=line-too-long + +import tensorflow as tf + +from tensorflow.python.lib.io import file_io +from tensorflow.python.util import tf_decorator +from tensorflow.python.util import tf_export +from tensorflow.tools.common import public_api +from tensorflow.tools.common import traverse + + +_OUTPUT_FILE_PATH = 'third_party/tensorflow/tools/compatibility/renames_v2.py' +_FILE_HEADER = """# Copyright 2018 The TensorFlow Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================== +# pylint: disable=line-too-long +\"\"\"List of renames to apply when converting from TF 1.0 to TF 2.0. + +THIS FILE IS AUTOGENERATED: To update, please run: + bazel build tensorflow/tools/compatibility/update:generate_v2_renames_map + bazel-bin/tensorflow/tools/compatibility/update/generate_v2_renames_map +This file should be updated whenever endpoints are deprecated. +\"\"\" +from __future__ import absolute_import +from __future__ import division +from __future__ import print_function + +""" + + +def update_renames_v2(output_file_path): + """Writes a Python dictionary mapping deprecated to canonical API names. + + Args: + output_file_path: File path to write output to. Any existing contents + would be replaced. + """ + # Set of rename lines to write to output file in the form: + # 'tf.deprecated_name': 'tf.canonical_name' + rename_line_set = set() + # _tf_api_names attribute name + tensorflow_api_attr = tf_export.API_ATTRS[tf_export.TENSORFLOW_API_NAME].names + + def visit(unused_path, unused_parent, children): + """Visitor that collects rename strings to add to rename_line_set.""" + for child in children: + _, attr = tf_decorator.unwrap(child[1]) + if not hasattr(attr, '__dict__'): + continue + api_names = attr.__dict__.get(tensorflow_api_attr, []) + deprecated_api_names = attr.__dict__.get('_tf_deprecated_api_names', []) + canonical_name = tf_export.get_canonical_name( + api_names, deprecated_api_names) + for name in deprecated_api_names: + rename_line_set.add(' \'tf.%s\': \'tf.%s\'' % (name, canonical_name)) + + visitor = public_api.PublicAPIVisitor(visit) + visitor.do_not_descend_map['tf'].append('contrib') + traverse.traverse(tf, visitor) + + renames_file_text = '%srenames = {\n%s\n}\n' % ( + _FILE_HEADER, ',\n'.join(sorted(rename_line_set))) + file_io.write_string_to_file(output_file_path, renames_file_text) + + +def main(unused_argv): + update_renames_v2(_OUTPUT_FILE_PATH) + + +if __name__ == '__main__': + tf.app.run(main=main) diff --git a/tensorflow/tools/docker/Dockerfile b/tensorflow/tools/docker/Dockerfile index a3ff8211e3..bf06214009 100644 --- a/tensorflow/tools/docker/Dockerfile +++ b/tensorflow/tools/docker/Dockerfile @@ -30,7 +30,7 @@ RUN pip --no-cache-dir install \ ipykernel \ jupyter \ matplotlib \ - numpy \ + numpy==1.14.5 \ pandas \ scipy \ sklearn \ diff --git a/tensorflow/tools/docker/Dockerfile.devel b/tensorflow/tools/docker/Dockerfile.devel index 57a491255e..6552588fac 100644 --- a/tensorflow/tools/docker/Dockerfile.devel +++ b/tensorflow/tools/docker/Dockerfile.devel @@ -35,7 +35,7 @@ RUN pip --no-cache-dir install \ jupyter \ matplotlib \ mock \ - numpy \ + numpy==1.14.5 \ scipy \ sklearn \ pandas \ @@ -63,7 +63,7 @@ RUN echo "startup --batch" >>/etc/bazel.bazelrc RUN echo "build --spawn_strategy=standalone --genrule_strategy=standalone" \ >>/etc/bazel.bazelrc # Install the most recent bazel release. -ENV BAZEL_VERSION 0.11.0 +ENV BAZEL_VERSION 0.15.0 WORKDIR / RUN mkdir /bazel && \ cd /bazel && \ @@ -76,7 +76,7 @@ RUN mkdir /bazel && \ # Download and build TensorFlow. WORKDIR /tensorflow -RUN git clone --branch=r1.9 --depth=1 https://github.com/tensorflow/tensorflow.git . +RUN git clone --branch=r1.10 --depth=1 https://github.com/tensorflow/tensorflow.git . # TODO(craigcitro): Don't install the pip package, since it makes it # more difficult to experiment with local changes. Instead, just add diff --git a/tensorflow/tools/docker/Dockerfile.devel-gpu b/tensorflow/tools/docker/Dockerfile.devel-gpu index 204b5b4dba..f4c83f85d4 100644 --- a/tensorflow/tools/docker/Dockerfile.devel-gpu +++ b/tensorflow/tools/docker/Dockerfile.devel-gpu @@ -15,6 +15,8 @@ RUN apt-get update && apt-get install -y --no-install-recommends \ git \ libcudnn7=7.1.4.18-1+cuda9.0 \ libcudnn7-dev=7.1.4.18-1+cuda9.0 \ + libnccl2=2.2.13-1+cuda9.0 \ + libnccl-dev=2.2.13-1+cuda9.0 \ libcurl3-dev \ libfreetype6-dev \ libhdf5-serial-dev \ @@ -33,6 +35,11 @@ RUN apt-get update && apt-get install -y --no-install-recommends \ find /usr/local/cuda-9.0/lib64/ -type f -name 'lib*_static.a' -not -name 'libcudart_static.a' -delete && \ rm /usr/lib/x86_64-linux-gnu/libcudnn_static_v7.a +# Link NCCL libray and header where the build script expects them. +RUN mkdir /usr/local/cuda-9.0/lib && \ + ln -s /usr/lib/x86_64-linux-gnu/libnccl.so.2 /usr/local/cuda/lib/libnccl.so.2 && \ + ln -s /usr/include/nccl.h /usr/local/cuda/include/nccl.h + RUN curl -fSsL -O https://bootstrap.pypa.io/get-pip.py && \ python get-pip.py && \ rm get-pip.py @@ -44,7 +51,7 @@ RUN pip --no-cache-dir install \ jupyter \ matplotlib \ mock \ - numpy \ + numpy==1.14.5 \ scipy \ sklearn \ pandas \ @@ -72,7 +79,7 @@ RUN echo "startup --batch" >>/etc/bazel.bazelrc RUN echo "build --spawn_strategy=standalone --genrule_strategy=standalone" \ >>/etc/bazel.bazelrc # Install the most recent bazel release. -ENV BAZEL_VERSION 0.11.0 +ENV BAZEL_VERSION 0.15.0 WORKDIR / RUN mkdir /bazel && \ cd /bazel && \ @@ -85,16 +92,19 @@ RUN mkdir /bazel && \ # Download and build TensorFlow. WORKDIR /tensorflow -RUN git clone --branch=r1.9 --depth=1 https://github.com/tensorflow/tensorflow.git . +RUN git clone --branch=r1.10 --depth=1 https://github.com/tensorflow/tensorflow.git . # Configure the build for our CUDA configuration. ENV CI_BUILD_PYTHON python ENV LD_LIBRARY_PATH /usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH ENV TF_NEED_CUDA 1 -ENV TF_CUDA_COMPUTE_CAPABILITIES=3.0,3.5,5.2,6.0,6.1 +ENV TF_CUDA_COMPUTE_CAPABILITIES=3.5,5.2,6.0,6.1,7.0 ENV TF_CUDA_VERSION=9.0 ENV TF_CUDNN_VERSION=7 +# NCCL 2.x +ENV TF_NCCL_VERSION=2 + RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \ LD_LIBRARY_PATH=/usr/local/cuda/lib64/stubs:${LD_LIBRARY_PATH} \ tensorflow/tools/ci_build/builds/configured GPU \ diff --git a/tensorflow/tools/docker/Dockerfile.devel-gpu-cuda9-cudnn7 b/tensorflow/tools/docker/Dockerfile.devel-gpu-cuda9-cudnn7 new file mode 100644 index 0000000000..30bc2d2806 --- /dev/null +++ b/tensorflow/tools/docker/Dockerfile.devel-gpu-cuda9-cudnn7 @@ -0,0 +1,115 @@ +FROM nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04 + +LABEL maintainer="Gunhan Gulsoy <gunan@google.com>" + +# It is possible to override these for releases. +ARG TF_BRANCH=master +ARG BAZEL_VERSION=0.15.0 +ARG TF_AVAILABLE_CPUS=32 + +RUN apt-get update && apt-get install -y --no-install-recommends \ + build-essential \ + curl \ + git \ + golang \ + libcurl3-dev \ + libfreetype6-dev \ + libpng12-dev \ + libzmq3-dev \ + pkg-config \ + python-dev \ + python-pip \ + rsync \ + software-properties-common \ + unzip \ + zip \ + zlib1g-dev \ + openjdk-8-jdk \ + openjdk-8-jre-headless \ + wget \ + && \ + apt-get clean && \ + rm -rf /var/lib/apt/lists/* + +RUN pip --no-cache-dir install --upgrade \ + pip setuptools + +RUN pip --no-cache-dir install \ + ipykernel \ + jupyter \ + matplotlib \ + numpy \ + scipy \ + sklearn \ + pandas \ + wheel \ + && \ + python -m ipykernel.kernelspec + +# Set up our notebook config. +COPY jupyter_notebook_config.py /root/.jupyter/ + +# Jupyter has issues with being run directly: +# https://github.com/ipython/ipython/issues/7062 +# We just add a little wrapper script. +COPY run_jupyter.sh / + +# Set up Bazel. + +# Running bazel inside a `docker build` command causes trouble, cf: +# https://github.com/bazelbuild/bazel/issues/134 +# The easiest solution is to set up a bazelrc file forcing --batch. +RUN echo "startup --batch" >>/etc/bazel.bazelrc +# Similarly, we need to workaround sandboxing issues: +# https://github.com/bazelbuild/bazel/issues/418 +RUN echo "build --spawn_strategy=standalone --genrule_strategy=standalone" \ + >>/etc/bazel.bazelrc +WORKDIR / +RUN mkdir /bazel && \ + cd /bazel && \ + wget --quiet https://github.com/bazelbuild/bazel/releases/download/$BAZEL_VERSION/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \ + wget --quiet https://raw.githubusercontent.com/bazelbuild/bazel/master/LICENSE && \ + chmod +x bazel-*.sh && \ + ./bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \ + rm -f /bazel/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh + +# Download and build TensorFlow. +WORKDIR / +RUN git clone https://github.com/tensorflow/tensorflow.git && \ + cd tensorflow && \ + git checkout ${TF_BRANCH} +WORKDIR /tensorflow + +# Configure the build for our CUDA configuration. +ENV CI_BUILD_PYTHON=python \ + LD_LIBRARY_PATH=/usr/local/cuda/extras/CUPTI/lib64:${LD_LIBRARY_PATH} \ + CUDNN_INSTALL_PATH=/usr/lib/x86_64-linux-gnu \ + PYTHON_BIN_PATH=/usr/bin/python \ + PYTHON_LIB_PATH=/usr/local/lib/python2.7/dist-packages \ + TF_NEED_CUDA=1 \ + TF_CUDA_VERSION=9.0 \ + TF_CUDA_COMPUTE_CAPABILITIES=3.0,3.5,5.2,6.0,6.1,7.0 \ + TF_CUDNN_VERSION=7 +RUN ./configure + +# Build and Install TensorFlow. +RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \ + LD_LIBRARY_PATH=/usr/local/cuda/lib64/stubs:${LD_LIBRARY_PATH} \ + bazel build -c opt \ + --config=cuda \ + --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0" \ + --jobs=${TF_AVAILABLE_CPUS} \ + tensorflow/tools/pip_package:build_pip_package && \ + mkdir /pip_pkg && \ + bazel-bin/tensorflow/tools/pip_package/build_pip_package /pip_pkg && \ + pip --no-cache-dir install --upgrade /pip_pkg/tensorflow-*.whl && \ + rm -rf /pip_pkg && \ + rm -rf /root/.cache +# Clean up pip wheel and Bazel cache when done. + +WORKDIR /root + +# TensorBoard +EXPOSE 6006 +# IPython +EXPOSE 8888 diff --git a/tensorflow/tools/docker/Dockerfile.devel-mkl b/tensorflow/tools/docker/Dockerfile.devel-mkl index aa6d027662..f0c7118ecb 100755 --- a/tensorflow/tools/docker/Dockerfile.devel-mkl +++ b/tensorflow/tools/docker/Dockerfile.devel-mkl @@ -3,7 +3,7 @@ FROM ubuntu:16.04 LABEL maintainer="Clayne Robison <clayne.b.robison@intel.com>" # These parameters can be overridden by parameterized_docker_build.sh -ARG TF_BUILD_VERSION=r1.9 +ARG TF_BUILD_VERSION=r1.10 ARG PYTHON="python" ARG PYTHON3_DEV="" ARG WHL_DIR="/tmp/pip" @@ -73,7 +73,7 @@ RUN echo "startup --batch" >>/etc/bazel.bazelrc RUN echo "build --spawn_strategy=standalone --genrule_strategy=standalone" \ >>/etc/bazel.bazelrc # Install the most recent bazel release. -ENV BAZEL_VERSION 0.11.0 +ENV BAZEL_VERSION 0.15.0 WORKDIR / RUN mkdir /bazel && \ cd /bazel && \ @@ -86,7 +86,18 @@ RUN mkdir /bazel && \ # Download and build TensorFlow. WORKDIR /tensorflow -RUN git clone --branch=${TF_BUILD_VERSION} --depth=1 https://github.com/tensorflow/tensorflow.git . + +# Download and build TensorFlow. +# Enable checking out both tags and branches +RUN export TAG_PREFIX="v" && \ + echo ${TF_BUILD_VERSION} | grep -q ^${TAG_PREFIX}; \ + if [ $? -eq 0 ]; then \ + git clone --depth=1 https://github.com/tensorflow/tensorflow.git . && \ + git fetch --tags && \ + git checkout ${TF_BUILD_VERSION}; \ + else \ + git clone --depth=1 --branch=${TF_BUILD_VERSION} https://github.com/tensorflow/tensorflow.git . ; \ + fi RUN yes "" | ${PYTHON} configure.py @@ -103,7 +114,7 @@ COPY .bazelrc /root/.bazelrc RUN tensorflow/tools/ci_build/builds/configured CPU \ bazel --bazelrc=/root/.bazelrc build -c opt \ - tensorflow/tools/pip_package:build_pip_package && \ + tensorflow/tools/pip_package:build_pip_package && \ bazel-bin/tensorflow/tools/pip_package/build_pip_package "${WHL_DIR}" && \ ${PIP} --no-cache-dir install --upgrade "${WHL_DIR}"/tensorflow-*.whl && \ rm -rf /root/.cache diff --git a/tensorflow/tools/docker/Dockerfile.gpu b/tensorflow/tools/docker/Dockerfile.gpu index 9197651ff4..5ec1e60f00 100644 --- a/tensorflow/tools/docker/Dockerfile.gpu +++ b/tensorflow/tools/docker/Dockerfile.gpu @@ -13,6 +13,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \ cuda-cusparse-9-0 \ curl \ libcudnn7=7.1.4.18-1+cuda9.0 \ + libnccl2=2.2.13-1+cuda9.0 \ libfreetype6-dev \ libhdf5-serial-dev \ libpng12-dev \ @@ -37,7 +38,7 @@ RUN pip --no-cache-dir install \ ipykernel \ jupyter \ matplotlib \ - numpy \ + numpy==1.14.5 \ pandas \ scipy \ sklearn \ diff --git a/tensorflow/tools/docker/Dockerfile.mkl b/tensorflow/tools/docker/Dockerfile.mkl index 139395d491..ad5109f26d 100755 --- a/tensorflow/tools/docker/Dockerfile.mkl +++ b/tensorflow/tools/docker/Dockerfile.mkl @@ -20,7 +20,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \ libpng12-dev \ libzmq3-dev \ pkg-config \ - python \ + ${PYTHON} \ ${PYTHON_DEV} \ rsync \ software-properties-common \ @@ -30,7 +30,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \ rm -rf /var/lib/apt/lists/* RUN curl -O https://bootstrap.pypa.io/get-pip.py && \ - python get-pip.py && \ + ${PYTHON} get-pip.py && \ rm get-pip.py RUN ${PIP} --no-cache-dir install \ @@ -44,7 +44,7 @@ RUN ${PIP} --no-cache-dir install \ scipy \ sklearn \ && \ - python -m ipykernel.kernelspec + ${PYTHON} -m ipykernel.kernelspec COPY ${TF_WHL_URL} / RUN ${PIP} install --no-cache-dir --force-reinstall /${TF_WHL_URL} && \ diff --git a/tensorflow/tools/docker/README.md b/tensorflow/tools/docker/README.md index 525f2995ce..a286e8a212 100644 --- a/tensorflow/tools/docker/README.md +++ b/tensorflow/tools/docker/README.md @@ -87,8 +87,10 @@ export TF_DOCKER_BUILD_IS_DEVEL=NO export TF_DOCKER_BUILD_TYPE=CPU export TF_DOCKER_BUILD_PYTHON_VERSION=PYTHON2 -export NIGHTLY_VERSION="1.head" -export TF_DOCKER_BUILD_CENTRAL_PIP=$(echo ${TF_DOCKER_BUILD_PYTHON_VERSION} | sed s^PYTHON2^http://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=${TF_DOCKER_BUILD_PYTHON_VERSION},label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-${NIGHTLY_VERSION}-cp27-cp27mu-manylinux1_x86_64.whl^ | sed s^PYTHON3^http://ci.tensorflow.org/view/Nightly/job/nightly-python35-linux-cpu/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-${NIGHTLY_VERSION}-cp35-cp35m-manylinux1_x86_64.whl^) +pip download --no-deps tf-nightly + +export TF_DOCKER_BUILD_CENTRAL_PIP=$(ls tf_nightly*.whl) +export TF_DOCKER_BUILD_CENTRAL_PIP_IS_LOCAL=1 tensorflow/tools/docker/parameterized_docker_build.sh ``` diff --git a/tensorflow/tools/docker/notebooks/1_hello_tensorflow.ipynb b/tensorflow/tools/docker/notebooks/1_hello_tensorflow.ipynb index 0633b03259..8fa871ef77 100644 --- a/tensorflow/tools/docker/notebooks/1_hello_tensorflow.ipynb +++ b/tensorflow/tools/docker/notebooks/1_hello_tensorflow.ipynb @@ -665,7 +665,7 @@ "source": [ "## What's next?\n", "\n", - "This has been a gentle introduction to TensorFlow, focused on what TensorFlow is and the very basics of doing anything in TensorFlow. If you'd like more, the next tutorial in the series is Getting Started with TensorFlow, also available in the [notebooks directory](..)." + "This has been a gentle introduction to TensorFlow, focused on what TensorFlow is and the very basics of doing anything in TensorFlow. If you'd like more, the next tutorial in the series is Getting Started with TensorFlow, also available in the [notebooks directory](../notebooks)." ] } ], diff --git a/tensorflow/tools/docs/BUILD b/tensorflow/tools/docs/BUILD index 2403e2d966..cc7885ab1b 100644 --- a/tensorflow/tools/docs/BUILD +++ b/tensorflow/tools/docs/BUILD @@ -28,6 +28,7 @@ py_test( srcs_version = "PY2AND3", deps = [ ":doc_generator_visitor", + ":generate_lib", "//tensorflow/python:platform_test", ], ) @@ -105,7 +106,7 @@ py_test( name = "build_docs_test", size = "small", srcs = ["build_docs_test.py"], - data = ["//tensorflow:docs_src"], + data = ["//tensorflow/docs_src"], srcs_version = "PY2AND3", tags = [ # No reason to run sanitizers or fastbuild for this test. diff --git a/tensorflow/tools/docs/doc_generator_visitor.py b/tensorflow/tools/docs/doc_generator_visitor.py index 259a4694fd..e5eaf8cc05 100644 --- a/tensorflow/tools/docs/doc_generator_visitor.py +++ b/tensorflow/tools/docs/doc_generator_visitor.py @@ -20,6 +20,7 @@ from __future__ import print_function import six +from tensorflow.python.util import tf_export from tensorflow.python.util import tf_inspect @@ -158,6 +159,55 @@ class DocGeneratorVisitor(object): self._index[full_name] = child self._tree[parent_name].append(name) + def _score_name(self, name): + """Return a tuple of scores indicating how to sort for the best name. + + This function is meant to be used as the `key` to the `sorted` function. + + This sorting in order: + Prefers names refering to the defining class, over a subclass. + Prefers names that are not in "contrib". + prefers submodules to the root namespace. + Prefers short names `tf.thing` over `tf.a.b.c.thing` + Sorts lexicographically on name parts. + + Args: + name: the full name to score, for example `tf.estimator.Estimator` + + Returns: + A tuple of scores. When sorted the preferred name will have the lowest + value. + """ + parts = name.split('.') + short_name = parts[-1] + + container = self._index['.'.join(parts[:-1])] + + defining_class_score = 1 + if tf_inspect.isclass(container): + if short_name in container.__dict__: + # prefer the defining class + defining_class_score = -1 + + contrib_score = -1 + if 'contrib' in parts: + contrib_score = 1 + + while parts: + parts.pop() + container = self._index['.'.join(parts)] + if tf_inspect.ismodule(container): + break + module_length = len(parts) + if len(parts) == 2: + # `tf.submodule.thing` is better than `tf.thing` + module_length_score = -1 + else: + # shorter is better + module_length_score = module_length + + return (defining_class_score, contrib_score, module_length_score, name) + def _maybe_find_duplicates(self): """Compute data structures containing information about duplicates. @@ -191,7 +241,7 @@ class DocGeneratorVisitor(object): if (py_object is not None and not isinstance(py_object, six.integer_types + six.string_types + (six.binary_type, six.text_type, float, complex, bool)) - and py_object is not ()): + and py_object is not ()): # pylint: disable=literal-comparison object_id = id(py_object) if object_id in reverse_index: master_name = reverse_index[object_id] @@ -201,7 +251,6 @@ class DocGeneratorVisitor(object): raw_duplicates[master_name] = [master_name, full_name] else: reverse_index[object_id] = full_name - # Decide on master names, rewire duplicates and make a duplicate_of map # mapping all non-master duplicates to the master name. The master symbol # does not have an entry in this map. @@ -211,10 +260,16 @@ class DocGeneratorVisitor(object): duplicates = {} for names in raw_duplicates.values(): names = sorted(names) - - # Choose the lexicographically first name with the minimum number of - # submodules. This will prefer highest level namespace for any symbol. - master_name = min(names, key=lambda name: name.count('.')) + master_name = ( + tf_export.get_canonical_name_for_symbol(self._index[names[0]]) + if names else None) + if master_name: + master_name = 'tf.%s' % master_name + else: + # Choose the master name with a lexical sort on the tuples returned by + # by _score_name. + master_name = min(names, key=self._score_name) + print(names, master_name) duplicates[master_name] = names for name in names: diff --git a/tensorflow/tools/docs/doc_generator_visitor_test.py b/tensorflow/tools/docs/doc_generator_visitor_test.py index cf5be45f40..1c2635d4a8 100644 --- a/tensorflow/tools/docs/doc_generator_visitor_test.py +++ b/tensorflow/tools/docs/doc_generator_visitor_test.py @@ -18,8 +18,21 @@ from __future__ import absolute_import from __future__ import division from __future__ import print_function +import types + from tensorflow.python.platform import googletest from tensorflow.tools.docs import doc_generator_visitor +from tensorflow.tools.docs import generate_lib + + +class NoDunderVisitor(doc_generator_visitor.DocGeneratorVisitor): + + def __call__(self, parent_name, parent, children): + """Drop all the dunder methods to make testing easier.""" + children = [ + (name, obj) for (name, obj) in children if not name.startswith('_') + ] + super(NoDunderVisitor, self).__call__(parent_name, parent, children) class DocGeneratorVisitorTest(googletest.TestCase): @@ -57,52 +70,184 @@ class DocGeneratorVisitorTest(googletest.TestCase): with self.assertRaises(RuntimeError): visitor('non_class_or_module', 'non_class_or_module_object', []) - def test_duplicates(self): - visitor = doc_generator_visitor.DocGeneratorVisitor() - visitor( - 'submodule.DocGeneratorVisitor', - doc_generator_visitor.DocGeneratorVisitor, - [('index', doc_generator_visitor.DocGeneratorVisitor.index), - ('index2', doc_generator_visitor.DocGeneratorVisitor.index)]) - visitor( - 'submodule2.DocGeneratorVisitor', - doc_generator_visitor.DocGeneratorVisitor, - [('index', doc_generator_visitor.DocGeneratorVisitor.index), - ('index2', doc_generator_visitor.DocGeneratorVisitor.index)]) - visitor( - 'DocGeneratorVisitor2', - doc_generator_visitor.DocGeneratorVisitor, - [('index', doc_generator_visitor.DocGeneratorVisitor.index), - ('index2', doc_generator_visitor.DocGeneratorVisitor.index)]) - - # The shorter path should be master, or if equal, the lexicographically - # first will be. - self.assertEqual( - {'DocGeneratorVisitor2': sorted(['submodule.DocGeneratorVisitor', - 'submodule2.DocGeneratorVisitor', - 'DocGeneratorVisitor2']), - 'DocGeneratorVisitor2.index': sorted([ - 'submodule.DocGeneratorVisitor.index', - 'submodule.DocGeneratorVisitor.index2', - 'submodule2.DocGeneratorVisitor.index', - 'submodule2.DocGeneratorVisitor.index2', - 'DocGeneratorVisitor2.index', - 'DocGeneratorVisitor2.index2' - ]), - }, visitor.duplicates) - self.assertEqual({ - 'submodule.DocGeneratorVisitor': 'DocGeneratorVisitor2', - 'submodule.DocGeneratorVisitor.index': 'DocGeneratorVisitor2.index', - 'submodule.DocGeneratorVisitor.index2': 'DocGeneratorVisitor2.index', - 'submodule2.DocGeneratorVisitor': 'DocGeneratorVisitor2', - 'submodule2.DocGeneratorVisitor.index': 'DocGeneratorVisitor2.index', - 'submodule2.DocGeneratorVisitor.index2': 'DocGeneratorVisitor2.index', - 'DocGeneratorVisitor2.index2': 'DocGeneratorVisitor2.index' + def test_duplicates_module_class_depth(self): + + class Parent(object): + + class Nested(object): + pass + + tf = types.ModuleType('tf') + tf.Parent = Parent + tf.submodule = types.ModuleType('submodule') + tf.submodule.Parent = Parent + + visitor = generate_lib.extract( + [('tf', tf)], + private_map={}, + do_not_descend_map={}, + visitor_cls=NoDunderVisitor) + + self.assertEqual({ + 'tf.submodule.Parent': + sorted([ + 'tf.Parent', + 'tf.submodule.Parent', + ]), + 'tf.submodule.Parent.Nested': + sorted([ + 'tf.Parent.Nested', + 'tf.submodule.Parent.Nested', + ]), + }, visitor.duplicates) + + self.assertEqual({ + 'tf.Parent.Nested': 'tf.submodule.Parent.Nested', + 'tf.Parent': 'tf.submodule.Parent', + }, visitor.duplicate_of) + + self.assertEqual({ + id(Parent): 'tf.submodule.Parent', + id(Parent.Nested): 'tf.submodule.Parent.Nested', + id(tf): 'tf', + id(tf.submodule): 'tf.submodule', + }, visitor.reverse_index) + + def test_duplicates_contrib(self): + + class Parent(object): + pass + + tf = types.ModuleType('tf') + tf.contrib = types.ModuleType('contrib') + tf.submodule = types.ModuleType('submodule') + tf.contrib.Parent = Parent + tf.submodule.Parent = Parent + + visitor = generate_lib.extract( + [('tf', tf)], + private_map={}, + do_not_descend_map={}, + visitor_cls=NoDunderVisitor) + + self.assertEqual({ + 'tf.submodule.Parent': + sorted(['tf.contrib.Parent', 'tf.submodule.Parent']), + }, visitor.duplicates) + + self.assertEqual({ + 'tf.contrib.Parent': 'tf.submodule.Parent', + }, visitor.duplicate_of) + + self.assertEqual({ + id(tf): 'tf', + id(tf.submodule): 'tf.submodule', + id(Parent): 'tf.submodule.Parent', + id(tf.contrib): 'tf.contrib', + }, visitor.reverse_index) + + def test_duplicates_defining_class(self): + + class Parent(object): + obj1 = object() + + class Child(Parent): + pass + + tf = types.ModuleType('tf') + tf.Parent = Parent + tf.Child = Child + + visitor = generate_lib.extract( + [('tf', tf)], + private_map={}, + do_not_descend_map={}, + visitor_cls=NoDunderVisitor) + + self.assertEqual({ + 'tf.Parent.obj1': sorted([ + 'tf.Parent.obj1', + 'tf.Child.obj1', + ]), + }, visitor.duplicates) + + self.assertEqual({ + 'tf.Child.obj1': 'tf.Parent.obj1', }, visitor.duplicate_of) + + self.assertEqual({ + id(tf): 'tf', + id(Parent): 'tf.Parent', + id(Child): 'tf.Child', + id(Parent.obj1): 'tf.Parent.obj1', + }, visitor.reverse_index) + + def test_duplicates_module_depth(self): + + class Parent(object): + pass + + tf = types.ModuleType('tf') + tf.submodule = types.ModuleType('submodule') + tf.submodule.submodule2 = types.ModuleType('submodule2') + tf.Parent = Parent + tf.submodule.submodule2.Parent = Parent + + visitor = generate_lib.extract( + [('tf', tf)], + private_map={}, + do_not_descend_map={}, + visitor_cls=NoDunderVisitor) + + self.assertEqual({ + 'tf.Parent': sorted(['tf.Parent', 'tf.submodule.submodule2.Parent']), + }, visitor.duplicates) + + self.assertEqual({ + 'tf.submodule.submodule2.Parent': 'tf.Parent' + }, visitor.duplicate_of) + + self.assertEqual({ + id(tf): 'tf', + id(tf.submodule): 'tf.submodule', + id(tf.submodule.submodule2): 'tf.submodule.submodule2', + id(Parent): 'tf.Parent', + }, visitor.reverse_index) + + def test_duplicates_name(self): + + class Parent(object): + obj1 = object() + + Parent.obj2 = Parent.obj1 + + tf = types.ModuleType('tf') + tf.submodule = types.ModuleType('submodule') + tf.submodule.Parent = Parent + + visitor = generate_lib.extract( + [('tf', tf)], + private_map={}, + do_not_descend_map={}, + visitor_cls=NoDunderVisitor) + + self.assertEqual({ + 'tf.submodule.Parent.obj1': + sorted([ + 'tf.submodule.Parent.obj1', + 'tf.submodule.Parent.obj2', + ]), + }, visitor.duplicates) + + self.assertEqual({ + 'tf.submodule.Parent.obj2': 'tf.submodule.Parent.obj1', + }, visitor.duplicate_of) + self.assertEqual({ - id(doc_generator_visitor.DocGeneratorVisitor): 'DocGeneratorVisitor2', - id(doc_generator_visitor.DocGeneratorVisitor.index): - 'DocGeneratorVisitor2.index', + id(tf): 'tf', + id(tf.submodule): 'tf.submodule', + id(Parent): 'tf.submodule.Parent', + id(Parent.obj1): 'tf.submodule.Parent.obj1', }, visitor.reverse_index) if __name__ == '__main__': diff --git a/tensorflow/tools/docs/generate.py b/tensorflow/tools/docs/generate.py index fc93085e3e..f96887e4c7 100644 --- a/tensorflow/tools/docs/generate.py +++ b/tensorflow/tools/docs/generate.py @@ -31,6 +31,11 @@ if __name__ == '__main__': doc_generator = generate_lib.DocGenerator() doc_generator.add_output_dir_argument() doc_generator.add_src_dir_argument() + doc_generator.argument_parser.add_argument( + '--site_api_path', + type=str, default='api_docs/python', + help='The path from the site-root to api_docs' + 'directory for this project') # This doc generator works on the TensorFlow codebase. Since this script lives # at tensorflow/tools/docs, and all code is defined somewhere inside diff --git a/tensorflow/tools/docs/generate_lib.py b/tensorflow/tools/docs/generate_lib.py index e7634cd5dc..4bc8cbf4b4 100644 --- a/tensorflow/tools/docs/generate_lib.py +++ b/tensorflow/tools/docs/generate_lib.py @@ -55,7 +55,8 @@ def write_docs(output_dir, parser_config, yaml_toc, root_title='TensorFlow', - search_hints=True): + search_hints=True, + site_api_path=None): """Write previously extracted docs to disk. Write a docs page for each symbol included in the indices of parser_config to @@ -73,6 +74,8 @@ def write_docs(output_dir, root_title: The title name for the root level index.md. search_hints: (bool) include meta-data search hints at the top of each output file. + site_api_path: Used to write the api-duplicates _redirects.yaml file. if + None (the default) the file is not generated. Raises: ValueError: if `output_dir` is not an absolute path @@ -92,6 +95,9 @@ def write_docs(output_dir, # - symbol name(string):pathname (string) symbol_to_file = {} + # Collect redirects for an api _redirects.yaml file. + redirects = ['redirects:\n'] + # Parse and write Markdown pages, resolving cross-links (@{symbol}). for full_name, py_object in six.iteritems(parser_config.index): parser_config.reference_resolver.current_doc_full_name = full_name @@ -150,6 +156,25 @@ def write_docs(output_dir, raise OSError( 'Cannot write documentation for %s to %s' % (full_name, directory)) + if site_api_path: + duplicates = parser_config.duplicates.get(full_name, []) + if not duplicates: + continue + + duplicates = [item for item in duplicates if item != full_name] + template = ('- from: /{}\n' + ' to: /{}\n') + for dup in duplicates: + from_path = os.path.join(site_api_path, dup.replace('.', '/')) + to_path = os.path.join(site_api_path, full_name.replace('.', '/')) + redirects.append( + template.format(from_path, to_path)) + + if site_api_path: + api_redirects_path = os.path.join(output_dir, '_redirects.yaml') + with open(api_redirects_path, 'w') as redirect_file: + redirect_file.write(''.join(redirects)) + if yaml_toc: # Generate table of contents @@ -210,12 +235,16 @@ def add_dict_to_dict(add_from, add_to): # Exclude some libraries in contrib from the documentation altogether. def _get_default_private_map(): - return {'tf.test': ['mock']} + return { + 'tf.contrib.autograph': ['utils', 'operators'], + 'tf.test': ['mock'], + 'tf.compat': ['v1', 'v2'], + } # Exclude members of some libraries. def _get_default_do_not_descend_map(): - # TODO(wicke): Shrink this list once the modules get sealed. + # TODO(markdaoust): Use docs_controls decorators, locally, instead. return { 'tf': ['cli', 'lib', 'wrappers'], 'tf.contrib': [ @@ -259,10 +288,13 @@ def _get_default_do_not_descend_map(): } -def extract(py_modules, private_map, do_not_descend_map): +def extract(py_modules, + private_map, + do_not_descend_map, + visitor_cls=doc_generator_visitor.DocGeneratorVisitor): """Extract docs from tf namespace and write them to disk.""" # Traverse the first module. - visitor = doc_generator_visitor.DocGeneratorVisitor(py_modules[0][0]) + visitor = visitor_cls(py_modules[0][0]) api_visitor = public_api.PublicAPIVisitor(visitor) api_visitor.set_root_name(py_modules[0][0]) add_dict_to_dict(private_map, api_visitor.private_map) @@ -608,7 +640,8 @@ class DocGenerator(object): parser_config, yaml_toc=self.yaml_toc, root_title=root_title, - search_hints=getattr(flags, 'search_hints', True)) + search_hints=getattr(flags, 'search_hints', True), + site_api_path=getattr(flags, 'site_api_path', None)) # Replace all the @{} references in files under `FLAGS.src_dir` replace_refs(flags.src_dir, flags.output_dir, reference_resolver, '*.md') diff --git a/tensorflow/tools/docs/generate_lib_test.py b/tensorflow/tools/docs/generate_lib_test.py index 7a6f9fd9f7..de18b13254 100644 --- a/tensorflow/tools/docs/generate_lib_test.py +++ b/tensorflow/tools/docs/generate_lib_test.py @@ -107,7 +107,18 @@ class GenerateTest(googletest.TestCase): output_dir = googletest.GetTempDir() - generate_lib.write_docs(output_dir, parser_config, yaml_toc=True) + generate_lib.write_docs(output_dir, parser_config, yaml_toc=True, + site_api_path='api_docs/python') + + # Check redirects + redirects_file = os.path.join(output_dir, '_redirects.yaml') + self.assertTrue(os.path.exists(redirects_file)) + with open(redirects_file) as f: + redirects = f.read() + self.assertEqual(redirects.split(), [ + 'redirects:', '-', 'from:', '/api_docs/python/tf/test_function', 'to:', + '/api_docs/python/tf/TestModule/test_function' + ]) # Make sure that the right files are written to disk. self.assertTrue(os.path.exists(os.path.join(output_dir, 'index.md'))) diff --git a/tensorflow/tools/graph_transforms/fold_old_batch_norms.cc b/tensorflow/tools/graph_transforms/fold_old_batch_norms.cc index f1d361e07d..156636ab82 100644 --- a/tensorflow/tools/graph_transforms/fold_old_batch_norms.cc +++ b/tensorflow/tools/graph_transforms/fold_old_batch_norms.cc @@ -159,7 +159,7 @@ Status FuseScaleOffsetToConvWeights(const std::vector<float>& scale_values, NodeDef bias_add_node; bias_add_node.set_op("BiasAdd"); bias_add_node.set_name(conv_output_name); - if (!conv_node.attr().count("data_format")) { + if (conv_node.attr().count("data_format") > 0) { CopyNodeAttr(conv_node, "data_format", "data_format", &bias_add_node); } CopyNodeAttr(conv_node, "T", "T", &bias_add_node); diff --git a/tensorflow/tools/graph_transforms/transform_utils.cc b/tensorflow/tools/graph_transforms/transform_utils.cc index af17fd75bc..cb084e49b7 100644 --- a/tensorflow/tools/graph_transforms/transform_utils.cc +++ b/tensorflow/tools/graph_transforms/transform_utils.cc @@ -247,9 +247,16 @@ Status SortByExecutionOrder(const GraphDef& input_graph_def, } } - if (processed < input_graph_def.node_size()) { - return errors::InvalidArgument(input_graph_def.node_size() - processed, - " nodes in a cycle"); + if (processed < num_nodes) { + LOG(WARNING) << "IN " << __func__ << (num_nodes - processed) + << " NODES IN A CYCLE"; + for (int64 i = 0; i < num_nodes; i++) { + if (pending_count[i] != 0) { + LOG(WARNING) << "PENDING: " << SummarizeNodeDef(input_graph_def.node(i)) + << "WITH PENDING COUNT = " << pending_count[i]; + } + } + return errors::InvalidArgument(num_nodes - processed, " nodes in a cycle"); } return Status::OK(); } diff --git a/tensorflow/tools/lib_package/BUILD b/tensorflow/tools/lib_package/BUILD index 05c23cd3ee..b450bc42c5 100644 --- a/tensorflow/tools/lib_package/BUILD +++ b/tensorflow/tools/lib_package/BUILD @@ -4,7 +4,9 @@ package(default_visibility = ["//visibility:private"]) load("@bazel_tools//tools/build_defs/pkg:pkg.bzl", "pkg_tar") +load("@local_config_syslibs//:build_defs.bzl", "if_not_system_lib") load("//tensorflow:tensorflow.bzl", "tf_binary_additional_srcs") +load("//tensorflow:tensorflow.bzl", "if_cuda") load("//third_party/mkl:build_defs.bzl", "if_mkl") genrule( @@ -113,10 +115,8 @@ genrule( "//third_party/hadoop:LICENSE.txt", "//third_party/eigen3:LICENSE", "//third_party/fft2d:LICENSE", - "@aws//:LICENSE", "@boringssl//:LICENSE", "@com_googlesource_code_re2//:LICENSE", - "@cub_archive//:LICENSE.TXT", "@curl//:COPYING", "@double_conversion//:LICENSE", "@eigen_archive//:COPYING.MPL2", @@ -124,13 +124,8 @@ genrule( "@fft2d//:fft/readme.txt", "@gemmlowp//:LICENSE", "@gif_archive//:COPYING", - "@grpc//:LICENSE", - "@grpc//third_party/address_sorting:LICENSE", - "@grpc//third_party/nanopb:LICENSE.txt", "@highwayhash//:LICENSE", - "@jemalloc//:COPYING", "@jpeg//:LICENSE.md", - "@libxsmm_archive//:LICENSE.md", "@llvm//:LICENSE.TXT", "@lmdb//:LICENSE", "@local_config_sycl//sycl:LICENSE.text", @@ -140,9 +135,42 @@ genrule( "@protobuf_archive//:LICENSE", "@snappy//:COPYING", "@zlib_archive//:zlib.h", - ] + if_mkl([ + ] + select({ + "//tensorflow:with_aws_support": [ + "@aws//:LICENSE", + ], + "//conditions:default": [], + }) + select({ + "//tensorflow:with_gcp_support": [ + "@com_github_googlecloudplatform_google_cloud_cpp//:LICENSE", + ], + "//conditions:default": [], + }) + select({ + "//tensorflow:with_jemalloc_linux_x86_64": [ + "@jemalloc//:COPYING", + ], + "//tensorflow:with_jemalloc_linux_ppc64le": [ + "@jemalloc//:COPYING", + ], + "//conditions:default": [], + }) + select({ + "//tensorflow/core/kernels:xsmm": [ + "@libxsmm_archive//:LICENSE.md", + ], + "//conditions:default": [], + }) + if_cuda([ + "@cub_archive//:LICENSE.TXT", + ]) + if_mkl([ "//third_party/mkl:LICENSE", - ]), + "//third_party/mkl_dnn:LICENSE", + ]) + if_not_system_lib( + "grpc", + [ + "@grpc//:LICENSE", + "@grpc//third_party/nanopb:LICENSE.txt", + "@grpc//third_party/address_sorting:LICENSE", + ], + ), outs = ["include/tensorflow/c/LICENSE"], cmd = "$(location :concat_licenses.sh) $(SRCS) >$@", tools = [":concat_licenses.sh"], @@ -154,10 +182,8 @@ genrule( "//third_party/hadoop:LICENSE.txt", "//third_party/eigen3:LICENSE", "//third_party/fft2d:LICENSE", - "@aws//:LICENSE", "@boringssl//:LICENSE", "@com_googlesource_code_re2//:LICENSE", - "@cub_archive//:LICENSE.TXT", "@curl//:COPYING", "@double_conversion//:LICENSE", "@eigen_archive//:COPYING.MPL2", @@ -166,9 +192,7 @@ genrule( "@gemmlowp//:LICENSE", "@gif_archive//:COPYING", "@highwayhash//:LICENSE", - "@jemalloc//:COPYING", "@jpeg//:LICENSE.md", - "@libxsmm_archive//:LICENSE.md", "@llvm//:LICENSE.TXT", "@lmdb//:LICENSE", "@local_config_sycl//sycl:LICENSE.text", @@ -178,8 +202,34 @@ genrule( "@protobuf_archive//:LICENSE", "@snappy//:COPYING", "@zlib_archive//:zlib.h", - ] + if_mkl([ + ] + select({ + "//tensorflow:with_aws_support": [ + "@aws//:LICENSE", + ], + "//conditions:default": [], + }) + select({ + "//tensorflow:with_gcp_support": [ + "@com_github_googlecloudplatform_google_cloud_cpp//:LICENSE", + ], + "//conditions:default": [], + }) + select({ + "//tensorflow:with_jemalloc_linux_x86_64": [ + "@jemalloc//:COPYING", + ], + "//tensorflow:with_jemalloc_linux_ppc64le": [ + "@jemalloc//:COPYING", + ], + "//conditions:default": [], + }) + select({ + "//tensorflow/core/kernels:xsmm": [ + "@libxsmm_archive//:LICENSE.md", + ], + "//conditions:default": [], + }) + if_cuda([ + "@cub_archive//:LICENSE.TXT", + ]) + if_mkl([ "//third_party/mkl:LICENSE", + "//third_party/mkl_dnn:LICENSE", ]), outs = ["include/tensorflow/jni/LICENSE"], cmd = "$(location :concat_licenses.sh) $(SRCS) >$@", diff --git a/tensorflow/tools/pip_package/BUILD b/tensorflow/tools/pip_package/BUILD index a0caf42331..ef7ae1aa25 100644 --- a/tensorflow/tools/pip_package/BUILD +++ b/tensorflow/tools/pip_package/BUILD @@ -11,7 +11,7 @@ load( ) load("//third_party/mkl:build_defs.bzl", "if_mkl") load("//tensorflow:tensorflow.bzl", "if_cuda") -load("@local_config_tensorrt//:build_defs.bzl", "if_tensorrt") +load("@local_config_syslibs//:build_defs.bzl", "if_not_system_lib") load("//tensorflow/core:platform/default/build_config_root.bzl", "tf_additional_license_deps") # This returns a list of headers of all public header libraries (e.g., @@ -63,12 +63,14 @@ COMMON_PIP_DEPS = [ "//tensorflow/contrib/autograph/lang:lang", "//tensorflow/contrib/autograph/operators:operators", "//tensorflow/contrib/autograph/pyct:pyct", + "//tensorflow/contrib/autograph/pyct/testing:testing", "//tensorflow/contrib/autograph/pyct/static_analysis:static_analysis", "//tensorflow/contrib/autograph/pyct/common_transformers:common_transformers", "//tensorflow/contrib/boosted_trees:boosted_trees_pip", "//tensorflow/contrib/cluster_resolver:cluster_resolver_pip", "//tensorflow/contrib/constrained_optimization:constrained_optimization_pip", "//tensorflow/contrib/data/python/kernel_tests/serialization:dataset_serialization_test_base", + "//tensorflow/contrib/data/python/kernel_tests:stats_dataset_test_base", "//tensorflow/contrib/data/python/ops:contrib_op_loader", "//tensorflow/contrib/eager/python/examples:examples_pip", "//tensorflow/contrib/eager/python:evaluator", @@ -78,7 +80,7 @@ COMMON_PIP_DEPS = [ "//tensorflow/contrib/labeled_tensor:labeled_tensor_pip", "//tensorflow/contrib/nn:nn_py", "//tensorflow/contrib/predictor:predictor_pip", - "//tensorflow/contrib/proto:proto_pip", + "//tensorflow/contrib/proto:proto", "//tensorflow/contrib/receptive_field:receptive_field_pip", "//tensorflow/contrib/rpc:rpc_pip", "//tensorflow/contrib/session_bundle:session_bundle_pip", @@ -104,6 +106,7 @@ COMMON_PIP_DEPS = [ "//tensorflow/python/kernel_tests/testdata:self_adjoint_eig_op_test_files", "//tensorflow/python/saved_model:saved_model", "//tensorflow/python/tools:tools_pip", + "//tensorflow/python/tools/api/generator:create_python_api", "//tensorflow/python:test_ops", "//tensorflow/tools/dist_test/server:grpc_tensorflow_server", ] @@ -128,11 +131,9 @@ filegroup( "@absl_py//absl/flags:LICENSE", "@arm_neon_2_x86_sse//:LICENSE", "@astor_archive//:LICENSE", - "@aws//:LICENSE", "@boringssl//:LICENSE", "@com_google_absl//:LICENSE", "@com_googlesource_code_re2//:LICENSE", - "@cub_archive//:LICENSE.TXT", "@curl//:COPYING", "@double_conversion//:LICENSE", "@eigen_archive//:COPYING.MPL2", @@ -142,17 +143,10 @@ filegroup( "@gast_archive//:PKG-INFO", "@gemmlowp//:LICENSE", "@gif_archive//:COPYING", - "@grpc//:LICENSE", "@highwayhash//:LICENSE", - "@jemalloc//:COPYING", "@jpeg//:LICENSE.md", - "@kafka//:LICENSE", - "@libxsmm_archive//:LICENSE.md", "@lmdb//:LICENSE", - "@local_config_nccl//:LICENSE", "@local_config_sycl//sycl:LICENSE.text", - "@grpc//third_party/nanopb:LICENSE.txt", - "@grpc//third_party/address_sorting:LICENSE", "@nasm//:LICENSE", "@nsync//:LICENSE", "@pcre//:LICENCE", @@ -164,9 +158,49 @@ filegroup( "@termcolor_archive//:COPYING.txt", "@zlib_archive//:zlib.h", "@org_python_pypi_backports_weakref//:LICENSE", - ] + if_mkl([ + ] + select({ + "//tensorflow:with_aws_support": [ + "@aws//:LICENSE", + ], + "//conditions:default": [], + }) + select({ + "//tensorflow:with_gcp_support": [ + "@com_github_googleapis_googleapis//:LICENSE", + "@com_github_googlecloudplatform_google_cloud_cpp//:LICENSE", + ], + "//conditions:default": [], + }) + select({ + "//tensorflow:with_jemalloc_linux_x86_64": [ + "@jemalloc//:COPYING", + ], + "//tensorflow:with_jemalloc_linux_ppc64le": [ + "@jemalloc//:COPYING", + ], + "//conditions:default": [], + }) + select({ + "//tensorflow:with_kafka_support": [ + "@kafka//:LICENSE", + ], + "//conditions:default": [], + }) + select({ + "//tensorflow/core/kernels:xsmm": [ + "@libxsmm_archive//:LICENSE.md", + ], + "//conditions:default": [], + }) + if_cuda([ + "@cub_archive//:LICENSE.TXT", + "@local_config_nccl//:LICENSE", + ]) + if_mkl([ "//third_party/mkl:LICENSE", - ]) + tf_additional_license_deps(), + "//third_party/mkl_dnn:LICENSE", + ]) + if_not_system_lib( + "grpc", + [ + "@grpc//:LICENSE", + "@grpc//third_party/nanopb:LICENSE.txt", + "@grpc//third_party/address_sorting:LICENSE", + ], + ) + tf_additional_license_deps(), ) sh_binary( @@ -181,9 +215,7 @@ sh_binary( "//tensorflow/contrib/lite/python:tflite_convert", "//tensorflow/contrib/lite/toco/python:toco_from_protos", ], - }) + if_mkl(["//third_party/mkl:intel_binary_blob"]) + if_tensorrt([ - "//tensorflow/contrib/tensorrt:init_py", - ]), + }) + if_mkl(["//third_party/mkl:intel_binary_blob"]), ) # A genrule for generating a marker file for the pip package on Windows diff --git a/tensorflow/tools/pip_package/build_pip_package.sh b/tensorflow/tools/pip_package/build_pip_package.sh index 9e41514cfa..ca40f2eaa8 100755 --- a/tensorflow/tools/pip_package/build_pip_package.sh +++ b/tensorflow/tools/pip_package/build_pip_package.sh @@ -17,8 +17,12 @@ set -e +function is_absolute { + [[ "$1" = /* ]] || [[ "$1" =~ ^[a-zA-Z]:[/\\].* ]] +} + function real_path() { - [[ $1 = /* ]] && echo "$1" || echo "$PWD/${1#./}" + is_absolute "$1" && echo "$1" || echo "$PWD/${1#./}" } function cp_external() { @@ -27,7 +31,7 @@ function cp_external() { pushd . cd "$src_dir" - for f in `find . ! -type d ! -name '*.py' ! -name '*local_config_cuda*' ! -name '*local_config_tensorrt*' ! -name '*org_tensorflow*'`; do + for f in `find . ! -type d ! -name '*.py' ! -path '*local_config_cuda*' ! -path '*local_config_tensorrt*' ! -path '*local_config_syslibs*' ! -path '*org_tensorflow*'`; do mkdir -p "${dest_dir}/$(dirname ${f})" cp "${f}" "${dest_dir}/$(dirname ${f})/" done diff --git a/tensorflow/tools/pip_package/setup.py b/tensorflow/tools/pip_package/setup.py index ddc1cfb68c..53b1ca3301 100644 --- a/tensorflow/tools/pip_package/setup.py +++ b/tensorflow/tools/pip_package/setup.py @@ -45,17 +45,19 @@ DOCLINES = __doc__.split('\n') # This version string is semver compatible, but incompatible with pip. # For pip, we will remove all '-' characters from this string, and use the # result for pip. -_VERSION = '1.9.0-rc0' +_VERSION = '1.10.0-rc1' REQUIRED_PACKAGES = [ 'absl-py >= 0.1.6', 'astor >= 0.6.0', 'gast >= 0.2.0', - 'numpy >= 1.13.3', + 'keras_applications == 1.0.4', + 'keras_preprocessing == 1.0.2', + 'numpy >= 1.13.3, <= 1.14.5', 'six >= 1.10.0', 'protobuf >= 3.6.0', 'setuptools <= 39.1.0', - 'tensorboard >= 1.8.0, < 1.9.0', + 'tensorboard >= 1.10.0, < 1.11.0', 'termcolor >= 1.1.0', ] @@ -84,7 +86,7 @@ else: if 'tf_nightly' in project_name: for i, pkg in enumerate(REQUIRED_PACKAGES): if 'tensorboard' in pkg: - REQUIRED_PACKAGES[i] = 'tb-nightly >= 1.10.0a0, < 1.11.0a0' + REQUIRED_PACKAGES[i] = 'tb-nightly >= 1.11.0a0, < 1.12.0a0' break # weakref.finalize and enum were introduced in Python 3.4 @@ -170,8 +172,9 @@ class InstallHeaders(Command): # symlink within the directory hierarchy. # NOTE(keveman): Figure out how to customize bdist_wheel package so # we can do the symlink. - if 'external/eigen_archive/' in install_dir: - extra_dir = install_dir.replace('external/eigen_archive', '') + if 'tensorflow/include/external/eigen_archive/' in install_dir: + extra_dir = install_dir.replace( + 'tensorflow/include/external/eigen_archive', '') if not os.path.exists(extra_dir): self.mkpath(extra_dir) self.copy_file(header, extra_dir) @@ -204,13 +207,12 @@ def find_files(pattern, root): yield os.path.join(dirpath, filename) -matches = ['../' + x for x in find_files('*', 'external') if '.py' not in x] - so_lib_paths = [ i for i in os.listdir('.') if os.path.isdir(i) and fnmatch.fnmatch(i, '_solib_*') ] +matches = [] for path in so_lib_paths: matches.extend( ['../' + x for x in find_files('*', path) if '.py' not in x] @@ -225,7 +227,7 @@ headers = (list(find_files('*.h', 'tensorflow/core')) + list(find_files('*.h', 'tensorflow/stream_executor')) + list(find_files('*.h', 'google/protobuf_archive/src')) + list(find_files('*', 'third_party/eigen3')) + - list(find_files('*', 'external/eigen_archive'))) + list(find_files('*', 'tensorflow/include/external/eigen_archive'))) setup( name=project_name, |