54 lines
2.0 KiB
C++
54 lines
2.0 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_XLA_SERVICE_BATCHNORM_EXPANDER_H_
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#define TENSORFLOW_COMPILER_XLA_SERVICE_BATCHNORM_EXPANDER_H_
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#include <utility>
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#include "tensorflow/compiler/xla/service/hlo_module.h"
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#include "tensorflow/compiler/xla/service/hlo_pass_interface.h"
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namespace xla {
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// A pass which rewrites batch norm operations into more operations. Breaking a
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// big operation into smaller operations helps leverage our generic fusion
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// logic.
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class BatchNormExpander : public HloModulePass {
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public:
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// When use_fusion is set, a multi-output fusion node is created.
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explicit BatchNormExpander(bool rewrite_training_op = false,
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bool rewrite_inference_op = false,
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bool rewrite_grad_op = false)
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: rewrite_training_op_(rewrite_training_op),
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rewrite_inference_op_(rewrite_inference_op),
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rewrite_grad_op_(rewrite_grad_op) {}
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~BatchNormExpander() = default;
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absl::string_view name() const override { return "batchnorm_expander"; }
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// Run operation expander on the given computation. Returns whether the
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// computation was changed.
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StatusOr<bool> Run(HloModule* module) override;
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private:
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bool rewrite_training_op_;
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bool rewrite_inference_op_;
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bool rewrite_grad_op_;
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};
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_SERVICE_BATCHNORM_EXPANDER_H_
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