// Copyright (c) 2019 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 #include #include "paddle/fluid/framework/data_transform.h" #include "paddle/fluid/framework/op_kernel_type.h" #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/imperative/layer.h" #include "paddle/fluid/imperative/type_defs.h" namespace paddle { namespace imperative { const framework::Tensor* GetTensorFromVar(const framework::Variable& var); class PreparedOp { public: static PreparedOp Prepare(const framework::RuntimeContext& ctx, const framework::OperatorWithKernel& op, platform::Place place, const NameVarBaseMap& ins); inline platform::DeviceContext* GetDeviceContext() const { return dev_ctx_; } void Run(); static void PrepareData(const platform::Place& place, const NameVarBaseMap& ins, const framework::OperatorWithKernel& op, const framework::OpKernelType& expected_kernel_key); private: PreparedOp(const framework::OperatorBase& op, const framework::RuntimeContext& ctx, framework::OperatorWithKernel::OpKernelFunc func, platform::DeviceContext* dev_ctx, std::vector* kernel_configs); private: const framework::OperatorBase& op_; const framework::RuntimeContext& ctx_; framework::OperatorWithKernel::OpKernelFunc func_; platform::DeviceContext* dev_ctx_; std::vector* kernel_configs_; }; } // namespace imperative } // namespace paddle