// Copyright (c) 2022 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 "paddle/fluid/framework/infershape_utils.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/phi/infermeta/backward.h" #include "paddle/phi/infermeta/binary.h" namespace paddle { namespace operators { class IndexAddOp : public framework::OperatorWithKernel { public: using framework::OperatorWithKernel::OperatorWithKernel; framework::OpKernelType GetExpectedKernelType( const framework::ExecutionContext& ctx) const override { return framework::OpKernelType( OperatorWithKernel::IndicateVarDataType(ctx, "X"), ctx.GetPlace()); } }; class IndexAddOpMaker : public framework::OpProtoAndCheckerMaker { public: void Make() override { AddInput("X", "(Tensor), " "the input feature data of IndexAddOp, dtype should be" "bool, int32, int64, float16, float32, float64."); AddInput("Index", "(Tensor), the 1-D tensor containing the indices to index."); AddInput("AddValue", "(Tensor), the tensor containing values to add."); AddOutput( "Out", "(Tensor)," " the output of IndexAddOp, whose dtype and shape are the same as X."); AddAttr("axis", "the dimension in which we index.").SetDefault(0); AddComment(R"DOC( IndexAdd operator Add the elements of the input tensor with value by selecting the indices in the order given in index. This operator also supports inplace modification. )DOC"); } }; template class IndexAddGradMaker : public framework::SingleGradOpMaker { public: using framework::SingleGradOpMaker::SingleGradOpMaker; void Apply(GradOpPtr op) const override { op->SetType("index_add_grad"); op->SetInput("Index", this->Input("Index")); op->SetInput("AddValue", this->Input("AddValue")); op->SetInput(framework::GradVarName("Out"), this->OutputGrad("Out")); op->SetAttrMap(this->Attrs()); op->SetOutput(framework::GradVarName("X"), this->InputGrad("X")); op->SetOutput(framework::GradVarName("AddValue"), this->InputGrad("AddValue")); } }; class IndexAddGradOp : public framework::OperatorWithKernel { public: using framework::OperatorWithKernel::OperatorWithKernel; protected: framework::OpKernelType GetExpectedKernelType( const framework::ExecutionContext& ctx) const override { return framework::OpKernelType(OperatorWithKernel::IndicateVarDataType( ctx, framework::GradVarName("Out")), ctx.GetPlace()); } }; DECLARE_INPLACE_OP_INFERER(IndexAddInplaceInferer, {"X", "Out"}); DECLARE_INPLACE_OP_INFERER(IndexAddGradInplaceInferer, {framework::GradVarName("Out"), framework::GradVarName("X")}); } // namespace operators } // namespace paddle namespace ops = paddle::operators; DECLARE_INFER_SHAPE_FUNCTOR(index_add, IndexAddInferShapeFunctor, PD_INFER_META(phi::IndexAddInferMeta)); REGISTER_OPERATOR(index_add, ops::IndexAddOp, ops::IndexAddOpMaker, ops::IndexAddGradMaker, ops::IndexAddGradMaker, ops::IndexAddInplaceInferer, IndexAddInferShapeFunctor); DECLARE_INFER_SHAPE_FUNCTOR(index_add_grad, IndexAddGradInferShapeFunctor, PD_INFER_META(phi::IndexAddGradInferMeta)); REGISTER_OPERATOR(index_add_grad, ops::IndexAddGradOp, ops::IndexAddGradInplaceInferer, IndexAddGradInferShapeFunctor);