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"""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",
output_package = "tensorflow"):
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 + " --output_package=" +
output_package + " $(OUTS)"),
srcs = srcs,
tools = [":" + api_gen_binary_target ],
visibility = ["//tensorflow:__pkg__"],
)
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