a2a51fa318
It was only used when FunctionalizeControlFlow() was called in XlaCompiler instead of a graph optimization pass, and the purpose was to look for FunctionDefs defined outside XlaCompiler. Now it's not needed any more. PiperOrigin-RevId: 270338766
32 lines
1.3 KiB
C++
32 lines
1.3 KiB
C++
/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#ifndef TENSORFLOW_COMPILER_TF2XLA_FUNCTIONALIZE_WHILE_H_
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#define TENSORFLOW_COMPILER_TF2XLA_FUNCTIONALIZE_WHILE_H_
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#include "tensorflow/core/framework/function.h"
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#include "tensorflow/core/graph/graph.h"
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namespace tensorflow {
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// Transformation that converts tf.while_loop() loops into functional While
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// operators, suitable for XLA compilation. If lookup_library is provided, use
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// it to make the library for control flow self-contained.
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Status FunctionalizeWhileLoop(Graph* graph, FunctionLibraryDefinition* library);
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_TF2XLA_FUNCTIONALIZE_WHILE_H_
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