// Copyright (c) 2020 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 #include #include #include "paddle/fluid/framework/infershape_utils.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/phi/core/infermeta_utils.h" #include "paddle/phi/infermeta/unary.h" namespace paddle { namespace operators { class ConjOp : public framework::OperatorWithKernel { public: using framework::OperatorWithKernel::OperatorWithKernel; }; class ConjOpMaker : public framework::OpProtoAndCheckerMaker { public: void Make() override { AddInput("X", "(Tensor), The input tensor of conj op."); AddOutput("Out", "(Tensor), The output tensor of conj op."); AddComment(R"DOC( Conj Operator. This operator is used to perform elementwise conjugate for input $X$. )DOC"); } }; template class ConjGradMaker : public framework::SingleGradOpMaker { public: using framework::SingleGradOpMaker::SingleGradOpMaker; void Apply(GradOpPtr retv) const override { retv->SetType("conj"); retv->SetInput("X", this->OutputGrad("Out")); retv->SetAttrMap(this->Attrs()); retv->SetOutput("Out", this->InputGrad("X")); } }; } // namespace operators } // namespace paddle namespace ops = paddle::operators; DECLARE_INFER_SHAPE_FUNCTOR(conj, ConjInferShapeFunctor, PD_INFER_META(phi::UnchangedInferMeta)); REGISTER_OPERATOR(conj, ops::ConjOp, ops::ConjOpMaker, ops::ConjGradMaker, ops::ConjGradMaker, ConjInferShapeFunctor);