# Copyright 2015 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. # ============================================================================== """Resource management library.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import os as _os import sys as _sys from tensorflow.python.util import tf_inspect as _inspect from tensorflow.python.util.tf_export import tf_export @tf_export('resource_loader.load_resource') def load_resource(path): """Load the resource at given path, where path is relative to tensorflow/. Args: path: a string resource path relative to tensorflow/. Returns: The contents of that resource. Raises: IOError: If the path is not found, or the resource can't be opened. """ tensorflow_root = (_os.path.join( _os.path.dirname(__file__), _os.pardir, _os.pardir)) path = _os.path.join(tensorflow_root, path) path = _os.path.abspath(path) with open(path, 'rb') as f: return f.read() # pylint: disable=protected-access @tf_export('resource_loader.get_data_files_path') def get_data_files_path(): """Get a direct path to the data files colocated with the script. Returns: The directory where files specified in data attribute of py_test and py_binary are stored. """ return _os.path.dirname(_inspect.getfile(_sys._getframe(1))) @tf_export('resource_loader.get_root_dir_with_all_resources') def get_root_dir_with_all_resources(): """Get a root directory containing all the data attributes in the build rule. Returns: The path to the specified file present in the data attribute of py_test or py_binary. Falls back to returning the same as get_data_files_path if it fails to detect a bazel runfiles directory. """ script_dir = get_data_files_path() # Create a history of the paths, because the data files are located relative # to the repository root directory, which is directly under runfiles # directory. directories = [script_dir] data_files_dir = '' while True: candidate_dir = directories[-1] current_directory = _os.path.basename(candidate_dir) if '.runfiles' in current_directory: # Our file should never be directly under runfiles. # If the history has only one item, it means we are directly inside the # runfiles directory, something is wrong, fall back to the default return # value, script directory. if len(directories) > 1: data_files_dir = directories[-2] break else: new_candidate_dir = _os.path.dirname(candidate_dir) # If we are at the root directory these two will be the same. if new_candidate_dir == candidate_dir: break else: directories.append(new_candidate_dir) return data_files_dir or script_dir @tf_export('resource_loader.get_path_to_datafile') def get_path_to_datafile(path): """Get the path to the specified file in the data dependencies. The path is relative to tensorflow/ Args: path: a string resource path relative to tensorflow/ Returns: The path to the specified file present in the data attribute of py_test or py_binary. Raises: IOError: If the path is not found, or the resource can't be opened. """ data_files_path = _os.path.dirname(_inspect.getfile(_sys._getframe(1))) return _os.path.join(data_files_path, path) @tf_export('resource_loader.readahead_file_path') def readahead_file_path(path, readahead='128M'): # pylint: disable=unused-argument """Readahead files not implemented; simply returns given path.""" return path