74 lines
2.9 KiB
74 lines
2.9 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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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#include "paddle/fluid/framework/eigen.h"
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#include "paddle/fluid/operators/gather.cu.h"
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#include "paddle/fluid/operators/gather_op.h"
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#include "paddle/fluid/operators/scatter.cu.h"
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namespace paddle {
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namespace operators {
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template <typename T>
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class GatherOpCUDAKernel : 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_gpu_place(ctx.GetPlace()),
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"This kernel only runs on GPU device.");
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auto *x = ctx.Input<Tensor>("X");
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auto *index = ctx.Input<Tensor>("Index");
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auto *output = ctx.Output<Tensor>("Out");
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output->mutable_data<T>(ctx.GetPlace());
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if (x->numel() == 0) return;
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GPUGather<T>(ctx.device_context(), *x, *index, output);
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}
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};
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template <typename T>
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class GatherGradOpCUDAKernel : 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_gpu_place(ctx.GetPlace()),
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"This kernel only runs on GPU device.");
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auto *Index = ctx.Input<Tensor>("Index");
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auto *dX = ctx.Output<Tensor>(framework::GradVarName("X"));
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auto *dO = ctx.Input<Tensor>(framework::GradVarName("Out"));
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dX->mutable_data<T>(ctx.GetPlace());
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auto dxt = framework::EigenVector<T>::Flatten(*dX);
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auto &place = *ctx.template device_context<platform::CUDADeviceContext>()
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.eigen_device();
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dxt.device(place) = dxt.constant(static_cast<T>(0));
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if (dO->numel() == 0) return;
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GPUScatterAssign<T>(ctx.device_context(), *dO, *Index, dX);
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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namespace plat = paddle::platform;
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REGISTER_OP_CUDA_KERNEL(gather, ops::GatherOpCUDAKernel<float>,
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ops::GatherOpCUDAKernel<double>,
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ops::GatherOpCUDAKernel<int64_t>,
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ops::GatherOpCUDAKernel<int>,
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ops::GatherOpCUDAKernel<plat::float16>);
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REGISTER_OP_CUDA_KERNEL(gather_grad, ops::GatherGradOpCUDAKernel<float>,
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ops::GatherGradOpCUDAKernel<double>,
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ops::GatherGradOpCUDAKernel<int64_t>,
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ops::GatherGradOpCUDAKernel<int>,
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ops::GatherGradOpCUDAKernel<plat::float16>);
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