[C++ gradients] Move thread_local_stack to its own lib so that it can re-used for tape stack.
PiperOrigin-RevId: 330987171 Change-Id: Ibbd068168b460f977882c65b45f7ef2e7e76f2fe
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@ -55,9 +55,15 @@ py_library(
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srcs = ["def_function.py"],
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)
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py_library(
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name = "thread_local_stack",
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srcs = ["thread_local_stack.py"],
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)
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py_library(
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name = "context_stack",
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srcs = ["context_stack.py"],
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deps = [":thread_local_stack"],
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)
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cuda_py_test(
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@ -19,28 +19,10 @@ from __future__ import division
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from __future__ import print_function
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import contextlib
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import threading
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from tensorflow.python.framework.experimental import thread_local_stack
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# TODO(srbs): Move this to C++.
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class _ThreadLocalStack(threading.local):
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"""A thread-local stack of objects for providing implicit defaults."""
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def __init__(self):
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super(_ThreadLocalStack, self).__init__()
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self._stack = []
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def peek(self):
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return self._stack[-1] if self._stack else None
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def push(self, ctx):
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return self._stack.append(ctx)
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def pop(self):
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self._stack.pop()
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_default_ctx_stack = _ThreadLocalStack()
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_default_ctx_stack = thread_local_stack.ThreadLocalStack()
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def get_default():
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@ -0,0 +1,39 @@
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# Copyright 2020 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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"""Thread-local stack."""
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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 threading
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# TODO(srbs): Move this to C++.
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class ThreadLocalStack(threading.local):
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"""A thread-local stack of objects for providing implicit defaults."""
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def __init__(self):
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super(ThreadLocalStack, self).__init__()
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self._stack = []
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def peek(self):
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return self._stack[-1] if self._stack else None
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def push(self, ctx):
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return self._stack.append(ctx)
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def pop(self):
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self._stack.pop()
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