gather_op.cu 2.3 KB
Newer Older
Z
zchen0211 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
/* 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. */

#include "gather.cu.h"
#include "paddle/framework/eigen.h"
#include "paddle/operators/gather_op.h"
#include "scatter.cu.h"

namespace paddle {
namespace operators {

template <typename T>
Z
zchen0211 已提交
24
class GatherOpCUDAKernel : public framework::OpKernel<T> {
Z
zchen0211 已提交
25 26 27 28 29 30 31 32 33 34
 public:
  void Compute(const framework::ExecutionContext &ctx) const override {
    PADDLE_ENFORCE(platform::is_gpu_place(ctx.GetPlace()),
                   "This kernel only runs on GPU device.");
    auto *x = ctx.Input<Tensor>("X");
    auto *index = ctx.Input<Tensor>("Index");
    auto *output = ctx.Output<Tensor>("Out");

    output->mutable_data<T>(ctx.GetPlace());

Z
zchen0211 已提交
35
    GPUGather<T>(ctx.device_context(), x, index, output);
Z
zchen0211 已提交
36 37 38 39
  }
};

template <typename T>
Z
zchen0211 已提交
40
class GatherGradOpCUDAKernel : public framework::OpKernel<T> {
Z
zchen0211 已提交
41 42 43 44 45 46 47 48 49 50 51 52 53 54
 public:
  void Compute(const framework::ExecutionContext &ctx) const override {
    PADDLE_ENFORCE(platform::is_gpu_place(ctx.GetPlace()),
                   "This kernel only runs on GPU device.");
    auto *Index = ctx.Input<Tensor>("Index");
    auto *dX = ctx.Output<Tensor>(framework::GradVarName("X"));
    auto *dO = ctx.Input<Tensor>(framework::GradVarName("Out"));
    auto *x = ctx.Input<Tensor>("X");

    dX->mutable_data<T>(ctx.GetPlace());
    auto dxt = framework::EigenVector<T>::Flatten(*dX);
    auto place = ctx.GetEigenDevice<platform::GPUPlace>();
    dxt.device(place) = dxt.constant(static_cast<T>(0));

Z
zchen0211 已提交
55
    GPUScatterAssign<T>(ctx.device_context(), dO, Index, dX);
Z
zchen0211 已提交
56 57 58 59 60 61 62 63 64
  }
};

}  // namespace operators
}  // namespace paddle

namespace ops = paddle::operators;
REGISTER_OP_GPU_KERNEL(gather, ops::GatherOpCUDAKernel<float>);
REGISTER_OP_GPU_KERNEL(gather_grad, ops::GatherGradOpCUDAKernel<float>);