36 lines
1.3 KiB
Python
36 lines
1.3 KiB
Python
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""TFDecorator-aware replacements for the contextlib module."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import contextlib as _contextlib
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from tensorflow.python.util import tf_decorator
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def contextmanager(target):
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"""A tf_decorator-aware wrapper for `contextlib.contextmanager`.
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Usage is identical to `contextlib.contextmanager`.
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Args:
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target: A callable to be wrapped in a contextmanager.
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Returns:
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A callable that can be used inside of a `with` statement.
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"""
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context_manager = _contextlib.contextmanager(target)
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return tf_decorator.make_decorator(target, context_manager, 'contextmanager')
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