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65 lines
2.2 KiB
65 lines
2.2 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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#include "gather.h"
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#include "paddle/framework/eigen.h"
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#include "paddle/framework/op_registry.h"
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#include "scatter.h"
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namespace paddle {
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namespace operators {
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using Tensor = framework::Tensor;
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template <typename T>
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class ScatterOpKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext &ctx) const override {
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PADDLE_ENFORCE(platform::is_cpu_place(ctx.GetPlace()),
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"This kernel only runs on CPU.");
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auto *Ref = ctx.Input<Tensor>("Ref");
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auto *Index = ctx.Input<Tensor>("Index");
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auto *Updates = ctx.Input<Tensor>("Updates");
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auto *Out = ctx.Output<Tensor>("Out");
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// In place output: Out = Ref, Out[Index] += Updates
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Out->ShareDataWith<T>(*Ref);
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// Apply ScatterUpdate: Out[index] += Updates[:]
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ScatterAssign<T>(ctx.device_context(), *Updates, *Index, Out);
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}
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};
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template <typename T>
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class ScatterGradientOpKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext &ctx) const override {
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PADDLE_ENFORCE(platform::is_cpu_place(ctx.GetPlace()),
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"This kernel only runs on CPU.");
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auto *dRef = ctx.Output<Tensor>(framework::GradVarName("Ref"));
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auto *dUpdates = ctx.Output<Tensor>(framework::GradVarName("Updates"));
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auto *Index = ctx.Input<Tensor>("Index");
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auto *dOut = ctx.Input<Tensor>(framework::GradVarName("Out"));
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// In place gradient: dRef = dO
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dRef->ShareDataWith<T>(*dOut);
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dUpdates->mutable_data<T>(ctx.GetPlace());
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// Gradient by Gather: dUpdates += dO[Index]
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CPUGather<T>(ctx.device_context(), *dOut, *Index, dUpdates);
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}
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};
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} // namespace operators
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} // namespace paddle
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