elementwise_add_op.cc 1.9 KB
Newer Older
1
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
G
gongweibao 已提交
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
G
gongweibao 已提交
6

L
Luo Tao 已提交
7
    http://www.apache.org/licenses/LICENSE-2.0
G
gongweibao 已提交
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. */
G
gongweibao 已提交
14

Y
Yi Wang 已提交
15 16
#include "paddle/fluid/operators/elementwise_add_op.h"
#include "paddle/fluid/operators/elementwise_op.h"
G
gongweibao 已提交
17 18 19 20 21

namespace paddle {
namespace operators {
class ElementwiseAddOpMaker : public ElementwiseOpMaker {
 public:
22
  ElementwiseAddOpMaker(OpProto* proto, OpAttrChecker* op_checker)
G
gongweibao 已提交
23
      : ElementwiseOpMaker(proto, op_checker) {
24
    SetComment("Add", "Out = X + Y");
G
gongweibao 已提交
25 26 27 28 29 30 31 32 33 34 35
    AddComment(comment_);
  }
};
}  // namespace operators
}  // namespace paddle

namespace ops = paddle::operators;
REGISTER_OP(elementwise_add, ops::ElementwiseOp, ops::ElementwiseAddOpMaker,
            elementwise_add_grad, ops::ElementwiseOpGrad);
REGISTER_OP_CPU_KERNEL(
    elementwise_add,
Q
QI JUN 已提交
36 37 38 39
    ops::ElementwiseAddKernel<paddle::platform::CPUDeviceContext, float>,
    ops::ElementwiseAddKernel<paddle::platform::CPUDeviceContext, double>,
    ops::ElementwiseAddKernel<paddle::platform::CPUDeviceContext, int>,
    ops::ElementwiseAddKernel<paddle::platform::CPUDeviceContext, int64_t>);
G
gongweibao 已提交
40 41
REGISTER_OP_CPU_KERNEL(
    elementwise_add_grad,
Q
QI JUN 已提交
42 43 44 45
    ops::ElementwiseAddGradKernel<paddle::platform::CPUDeviceContext, float>,
    ops::ElementwiseAddGradKernel<paddle::platform::CPUDeviceContext, double>,
    ops::ElementwiseAddGradKernel<paddle::platform::CPUDeviceContext, int>,
    ops::ElementwiseAddGradKernel<paddle::platform::CPUDeviceContext, int64_t>);