/* Copyright (c) 2016 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. */ #pragma once #include #include #include "paddle/fluid/framework/ddim.h" #include "paddle/fluid/framework/op_desc.h" #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/operators/benchmark/op_tester_config.h" namespace paddle { namespace operators { namespace benchmark { class OpTester { public: OpTester() {} void Init(const std::string &filename); void Init(const OpTesterConfig &config); void Run(); std::string DebugString(); private: std::vector GetOpProtoInputNames(); std::vector GetOpProtoOutputNames(); void CreateInputVarDesc(); void CreateOutputVarDesc(); framework::VarDesc *Var(const std::string &name); void CreateVariables(framework::Scope *scope); template void SetupTensor(framework::LoDTensor *input, const std::vector &shape, T lower, T upper); void RunImpl(); private: OpTesterConfig config_; std::string type_; framework::OpDesc op_desc_; std::unordered_map> vars_; std::vector inputs_; std::vector outputs_; std::unique_ptr op_; platform::Place place_; std::unique_ptr scope_; }; } // namespace benchmark } // namespace operators } // namespace paddle