wehub-resource-sync
52 lines
2.1 KiB
C++
52 lines
2.1 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_CONST_ANALYSIS_H_
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#define TENSORFLOW_COMPILER_TF2XLA_CONST_ANALYSIS_H_
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#include <vector>
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#include "tensorflow/core/graph/graph.h"
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#include "tensorflow/core/lib/core/status.h"
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namespace tensorflow {
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// Backwards dataflow analysis that finds nodes in a graph that must be
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// compile-time constants for us to be able to lower the graph to XLA.
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//
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// The indices of the arguments to `graph` that must be constant are returned in
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// `compile_time_const_arg_indices`, if `compile_time_const_arg_indices` is not
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// null.
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//
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// The ids of the nodes in `graph` that must be constant are returned in
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// `compile_time_const_nodes`, if `compile_time_const_nodes` is not null.
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//
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// If `edge_filter` is non-null, only propagate const-ness along edges for which
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// `edge_filter` returns true.
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absl::Status BackwardsConstAnalysis(
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const Graph& g, std::vector<bool>* compile_time_const_arg_indices,
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std::vector<bool>* compile_time_const_nodes,
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FunctionLibraryRuntime* flib_runtime,
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std::function<bool(const Edge&)> edge_filter_input = nullptr);
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// Given an op kernel and function library runtime, return all the indices of
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// inputs that need to be compile time constant.
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absl::Status GetCompileTimeConstInputs(const OpKernel* op_kernel,
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std::vector<int>* const_input_idxs,
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FunctionLibraryRuntime* flib_runtime);
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_TF2XLA_CONST_ANALYSIS_H_
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