/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. 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, WITHOpArgType::OUT WARRANTIES OR CONDITIONS OF ANY KOpArgType::IND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/framework/grad_op_builder.h" #include "paddle/framework/op_registry.h" namespace paddle { namespace framework { enum class OpArgType { IN, OUT }; static void TransOpArg(const OperatorBase* src_op, const OpArgType& src_type, bool is_grad, VariableNameMap* vars) { const auto& src_inout = src_type == OpArgType::IN ? src_op->Inputs() : src_op->Outputs(); auto& dst_inout = *vars; auto& proto = OpInfoMap::Instance().Get(src_op->Type()).Proto(); const auto& src_arg_list = src_type == OpArgType::IN ? proto.inputs() : proto.outputs(); for (const auto& arg : src_arg_list) { if (arg.not_in_gradient() && !is_grad) continue; const std::string src_name = arg.name(); std::string dst_name = is_grad ? GradVarName(src_name) : src_name; dst_inout[dst_name].reserve(src_inout.at(src_name).size()); for (auto& var_name : src_inout.at(src_name)) { std::string s = is_grad ? GradVarName(var_name) : var_name; dst_inout[dst_name].emplace_back(s); } } } OperatorBase* BuildGradOp(const OperatorBase* op) { auto& info = OpInfoMap::Instance().Get(op->Type()); PADDLE_ENFORCE(info.HasGradientOp()); VariableNameMap inputs; VariableNameMap outputs; TransOpArg(op, OpArgType::IN, false, &inputs); // I TransOpArg(op, OpArgType::OUT, false, &inputs); // O TransOpArg(op, OpArgType::OUT, true, &inputs); // OG TransOpArg(op, OpArgType::IN, true, &outputs); // IG auto& grad_info = OpInfoMap::Instance().Get(info.grad_op_type_); return grad_info.Creator()(info.grad_op_type_, inputs, outputs, op->Attrs()); } } // namespace framework } // namespace paddle