/* 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, 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 "paddle/operators/add_op.h" namespace paddle { namespace operators { class AddOp : public framework::OperatorWithKernel { public: using framework::OperatorWithKernel::OperatorWithKernel; protected: void InferShape(framework::InferShapeContextBase* ctx) const override { PADDLE_ENFORCE(ctx->HasInput("X"), "Input(X) of AddOp should not be null."); PADDLE_ENFORCE(ctx->HasInput("Y"), "Input(Y) of AddOp should not be null."); PADDLE_ENFORCE(ctx->HasOutput("Out"), "Output(Out) of AddOp should not be null."); auto x_dims = ctx->GetInputDim("X"); auto y_dims = ctx->GetInputDim("Y"); PADDLE_ENFORCE_EQ(x_dims, y_dims, "Two input of Add Op's dimension must be same."); ctx->SetOutputDim("Out", x_dims); } }; class AddOpMaker : public framework::OpProtoAndCheckerMaker { public: AddOpMaker(framework::OpProto* proto, framework::OpAttrChecker* op_checker) : OpProtoAndCheckerMaker(proto, op_checker) { AddInput("X", "The first input of add op"); AddInput("Y", "The second input of add op"); AddOutput("Out", "The output of add op"); AddComment(R"DOC( Two Element Add Operator. The equation is: Out = X + Y )DOC"); } }; class AddOpGrad : public framework::OperatorWithKernel { public: using framework::OperatorWithKernel::OperatorWithKernel; protected: void InferShape(framework::InferShapeContextBase* ctx) const override {} }; } // namespace operators } // namespace paddle namespace ops = paddle::operators; REGISTER_OP(add, ops::AddOp, ops::AddOpMaker, add_grad, ops::AddOpGrad); REGISTER_OP_CPU_KERNEL(add, ops::AddKernel);