// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include #include namespace paddle { namespace inference { /* * Helper class to calculate the performance. */ struct Benchmark { int batch_size() const { return batch_size_; } void SetBatchSize(int x) { batch_size_ = x; } int num_threads() const { return num_threads_; } void SetNumThreads(int x) { num_threads_ = x; } bool use_gpu() const { return use_gpu_; } void SetUseGpu() { use_gpu_ = true; } int latency() const { return latency_; } void SetLatency(int x) { latency_ = x; } const std::string& name() const { return name_; } void SetName(const std::string& name) { name_ = name; } std::string SerializeToString() const; void PersistToFile(const std::string& path) const; private: bool use_gpu_{false}; int batch_size_{0}; int latency_; int num_threads_{1}; std::string name_; }; } // namespace inference } // namespace paddle