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# 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
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