/* 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. */ #pragma once #include "gather.h" #include "paddle/framework/eigen.h" #include "paddle/framework/op_registry.h" #include "scatter.h" namespace paddle { namespace operators { using Tensor = framework::Tensor; template class ScatterOpKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext &ctx) const override { auto *Ref = ctx.Input("Ref"); auto *Index = ctx.Input("Index"); auto *Updates = ctx.Input("Updates"); auto *Out = ctx.Output("Out"); // In place output: Out = Ref, Out[Index] += Updates Out->ShareDataWith(*Ref); // Apply ScatterUpdate: Out[index] += Updates[:] ScatterUpdate(ctx.GetPlace(), Updates, Index, Out); } }; template class ScatterGradientOpKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext &ctx) const override { auto *dRef = ctx.Output(framework::GradVarName("Ref")); auto *dUpdates = ctx.Output(framework::GradVarName("Updates")); auto *Index = ctx.Input("Index"); auto *dO = ctx.Input(framework::GradVarName("Out")); // In place gradient: dRef = dO dRef->ShareDataWith(*dO); dUpdates->mutable_data(ctx.GetPlace()); // Gradient by Gather: dUpdates += dO[Index] Gather(ctx.GetPlace(), dO, Index, dUpdates); } }; } // namespace operators } // namespace paddle