59 lines
2.0 KiB
C++
59 lines
2.0 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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#ifndef TENSORFLOW_TOOLS_OPTIMIZATION_OPTIMIZATION_PASS_RUNNER_H_
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#define TENSORFLOW_TOOLS_OPTIMIZATION_OPTIMIZATION_PASS_RUNNER_H_
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#include <memory>
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#include <string>
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#include <vector>
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#include "tensorflow/core/common_runtime/device.h"
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#include "tensorflow/core/common_runtime/optimization_registry.h"
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#include "tensorflow/core/lib/core/status.h"
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#include "tensorflow/core/protobuf/config.pb.h"
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namespace tensorflow {
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// OptimizationPassRunner can be initialized, populated with devices, then run
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// to test individual Tensorflow Optimization passes.
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class OptimizationPassRunner {
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public:
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explicit OptimizationPassRunner() : jit_level_(OptimizerOptions::DEFAULT) {}
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// Increasing the Jit level will cause XLA to compile parts of the tensorflow
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// graph that it is able to.
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Status SetJitLevel(OptimizerOptions::GlobalJitLevel jit_level);
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Status Run(absl::string_view pass_to_run, GraphDef input, GraphDef* result);
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Status AddCpus(int count) {
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return AddDevices(tensorflow::DEVICE_CPU, count);
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}
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Status AddGpus(int count) {
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return AddDevices(tensorflow::DEVICE_GPU, count);
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}
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private:
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Status AddDevices(absl::string_view type, int count);
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OptimizerOptions::GlobalJitLevel jit_level_;
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std::vector<std::unique_ptr<Device>> devices_;
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};
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} // namespace tensorflow
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#endif // TENSORFLOW_TOOLS_OPTIMIZATION_OPTIMIZATION_PASS_RUNNER_H_
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