59 lines
2.5 KiB
C++
59 lines
2.5 KiB
C++
/* Copyright 2018 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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// Rewrites computations generated by the xla.compile() Python code into
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// XlaLaunch nodes.
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//
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// xla.compile() does two main things:
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// a) marks operators that make up an XLA computation with the attribute
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// _xla_compile_id=XYZ, where XYZ is a unique key.
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// b) adds XlaClusterOutput nodes to represent outputs of the computation.
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// These nodes are not marked with the _xla_compile_id attribute.
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#ifndef TENSORFLOW_COMPILER_JIT_ENCAPSULATE_XLA_COMPUTATIONS_PASS_H_
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#define TENSORFLOW_COMPILER_JIT_ENCAPSULATE_XLA_COMPUTATIONS_PASS_H_
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#include "tensorflow/core/common_runtime/optimization_registry.h"
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#include "tensorflow/core/graph/graph.h"
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#include "tensorflow/core/platform/env.h"
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namespace tensorflow {
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// Encapsulates nodes marked with the _xla_compile_id attribute into
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// XlaLaunch operators.
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class EncapsulateXlaComputationsPass : public GraphOptimizationPass {
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public:
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Status Run(const GraphOptimizationPassOptions& options) override;
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// The following methods are public only for unit tests.
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// This pass has two stages:
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// a) first, we call EncapsulateSubgraphsPass to encapsulate all nodes
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// marked with the same _xla_compile_id attribute into functions. These
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// functions contain the computations to be passed to XlaLaunch. During
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// encapsulation, we sort the arguments into the order expected by
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// XlaLaunch.
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static Status Encapsulate(std::unique_ptr<Graph>* graph,
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FunctionLibraryDefinition* flib_def);
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// b) we rewrite the function calls generated in phase (a) into XlaLaunch
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// operators. We also convert the XlaClusterOutput output nodes of the
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// function call into the outputs of the XlaLaunch operator.
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static Status BuildXlaLaunchOps(Graph* graph);
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};
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_JIT_ENCAPSULATE_XLA_COMPUTATIONS_PASS_H_
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