elementwise_mul_op.cc 2.7 KB
Newer Older
1
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
2

L
Luo Tao 已提交
3 4 5
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
6

L
Luo Tao 已提交
7
    http://www.apache.org/licenses/LICENSE-2.0
8

L
Luo Tao 已提交
9 10 11 12 13
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. */
14

Y
Yi Wang 已提交
15
#include "paddle/fluid/operators/elementwise_mul_op.h"
S
sneaxiy 已提交
16
#include <string>
Y
Yi Wang 已提交
17
#include "paddle/fluid/operators/elementwise_op.h"
S
sneaxiy 已提交
18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48

namespace paddle {
namespace operators {

class ElementwiseMulOpGradDescMaker : public framework::SingleGradOpDescMaker {
 public:
  using framework::SingleGradOpDescMaker::SingleGradOpDescMaker;

 protected:
  std::unique_ptr<framework::OpDesc> Apply() const override {
    std::unique_ptr<framework::OpDesc> op(new framework::OpDesc());
    op->SetType("elementwise_mul_grad");
    op->SetInput("X", Input("X"));
    op->SetInput("Y", Input("Y"));
    op->SetInput(framework::GradVarName("Out"), OutputGrad("Out"));
    op->SetAttrMap(Attrs());
    op->SetOutput(::paddle::framework::GradVarName("X"), InputGrad("X"));
    op->SetOutput(::paddle::framework::GradVarName("Y"), InputGrad("Y"));
    return op;
  }
};

class ElementwiseMulOpMaker : public ElementwiseOpMaker {
 protected:
  virtual std::string GetName() const { return "Mul"; }
  virtual std::string GetEquation() const { return "Out = X \\\\odot Y"; }
};

}  // namespace operators
}  // namespace paddle

49
namespace ops = paddle::operators;
S
sneaxiy 已提交
50 51 52 53 54 55
// REGISTER_ELEMWISE_OP(elementwise_mul, "Mul", "Out = X \\\\odot Y");
REGISTER_OPERATOR(elementwise_mul, ops::ElementwiseOp,
                  ops::ElementwiseMulOpMaker, ops::ElementwiseOpInferVarType,
                  ops::ElementwiseMulOpGradDescMaker);
REGISTER_OPERATOR(elementwise_mul_grad, ops::ElementwiseOpGrad);

56 57
REGISTER_OP_CPU_KERNEL(
    elementwise_mul,
Q
QI JUN 已提交
58 59 60 61
    ops::ElementwiseMulKernel<paddle::platform::CPUDeviceContext, float>,
    ops::ElementwiseMulKernel<paddle::platform::CPUDeviceContext, double>,
    ops::ElementwiseMulKernel<paddle::platform::CPUDeviceContext, int>,
    ops::ElementwiseMulKernel<paddle::platform::CPUDeviceContext, int64_t>);
62 63
REGISTER_OP_CPU_KERNEL(
    elementwise_mul_grad,
Q
QI JUN 已提交
64 65 66 67
    ops::ElementwiseMulGradKernel<paddle::platform::CPUDeviceContext, float>,
    ops::ElementwiseMulGradKernel<paddle::platform::CPUDeviceContext, double>,
    ops::ElementwiseMulGradKernel<paddle::platform::CPUDeviceContext, int>,
    ops::ElementwiseMulGradKernel<paddle::platform::CPUDeviceContext, int64_t>);