/* 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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#ifndef TENSORFLOW_COMPILER_JIT_XLA_FUSION_OPTIMIZER_H_
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#define TENSORFLOW_COMPILER_JIT_XLA_FUSION_OPTIMIZER_H_
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#include "tensorflow/core/grappler/optimizers/custom_graph_optimizer.h"
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namespace tensorflow {
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// Optimizes graphs by fusing ops where possible, resulting in more efficient
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// execution.
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class XlaFusionOptimizer : public grappler::CustomGraphOptimizer {
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public:
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XlaFusionOptimizer() {}
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~XlaFusionOptimizer() override {}
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Status Init(
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const RewriterConfig_CustomGraphOptimizer* config = nullptr) override {
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return Status::OK();
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}
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string name() const override { return "xla-fusion"; };
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Status Optimize(grappler::Cluster* cluster,
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const grappler::GrapplerItem& item,
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GraphDef* output) override;
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void Feedback(grappler::Cluster* cluster, const grappler::GrapplerItem& item,
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const GraphDef& optimize_output, double result) override {
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// Nothing to do for XlaFusionOptimizer.
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}
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};
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_JIT_XLA_FUSION_OPTIMIZER_H_
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