1. This is only required for XLA, so it makes sense to move it into XlaCompiler; 2. We need it inside XLA compiler so TPU eager mode works (TPU eager mode does not call graph rewrite passes). PiperOrigin-RevId: 248432264
40 lines
1.6 KiB
C++
40 lines
1.6 KiB
C++
/* Copyright 2019 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_REARRANGE_FUNCTION_ARGUMENT_H_
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#define TENSORFLOW_COMPILER_TF2XLA_REARRANGE_FUNCTION_ARGUMENT_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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// For the given graph `g`:
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// 1. Rewrite If/While node functions to rearrange arguments and return values,
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// so that all resource arguments/return values are placed in the end (as
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// required by XlaCompiler),
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// 2. Inline StatefulPartitionedCall nodes so we do not need to rearrange
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// arguments and return values.
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// `get_function_body_fn` is used to instantiate FunctionDef.
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// `fld` is used to store rewritten functions.
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Status RearrangeFunctionArguments(
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std::function<Status(const NameAttrList&, const FunctionBody**)>
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get_function_body_fn,
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Graph* g, FunctionLibraryDefinition* fld);
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_TF2XLA_REARRANGE_FUNCTION_ARGUMENT_H_
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