1 /* Copyright 2018 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations under the License. 14 ==============================================================================*/ 15 #ifndef TENSORFLOW_TOOLS_OPTIMIZATION_OPTIMIZATION_PASS_RUNNER_H_ 16 #define TENSORFLOW_TOOLS_OPTIMIZATION_OPTIMIZATION_PASS_RUNNER_H_ 17 18 #include <memory> 19 #include <string> 20 #include <vector> 21 22 #include "tensorflow/core/common_runtime/device.h" 23 #include "tensorflow/core/common_runtime/optimization_registry.h" 24 #include "tensorflow/core/lib/core/status.h" 25 #include "tensorflow/core/protobuf/config.pb.h" 26 27 namespace tensorflow { 28 29 // OptimizationPassRunner can be initialized, populated with devices, then run 30 // to test individual Tensorflow Optimization passes. 31 class OptimizationPassRunner { 32 public: OptimizationPassRunner()33 explicit OptimizationPassRunner() : jit_level_(OptimizerOptions::DEFAULT) {} 34 35 // Increasing the Jit level will cause XLA to compile parts of the tensorflow 36 // graph that it is able to. 37 Status SetJitLevel(OptimizerOptions::GlobalJitLevel jit_level); 38 39 Status Run(absl::string_view pass_to_run, GraphDef input, GraphDef* result); 40 AddCpus(int count)41 Status AddCpus(int count) { 42 return AddDevices(tensorflow::DEVICE_CPU, count); 43 } 44 AddGpus(int count)45 Status AddGpus(int count) { 46 return AddDevices(tensorflow::DEVICE_GPU, count); 47 } 48 49 private: 50 Status AddDevices(absl::string_view type, int count); 51 52 OptimizerOptions::GlobalJitLevel jit_level_; 53 std::vector<std::unique_ptr<Device>> devices_; 54 }; 55 56 } // namespace tensorflow 57 58 #endif // TENSORFLOW_TOOLS_OPTIMIZATION_OPTIMIZATION_PASS_RUNNER_H_ 59