scale_op.cc 2.9 KB
Newer Older
1
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
Y
Yu Yang 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
Y
Yu Yang 已提交
6

L
Luo Tao 已提交
7
    http://www.apache.org/licenses/LICENSE-2.0
Y
Yu Yang 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. */
Y
Yu Yang 已提交
14

Y
Yi Wang 已提交
15
#include "paddle/fluid/operators/scale_op.h"
16 17

#include <string>
Y
Yu Yang 已提交
18 19 20 21 22 23

namespace paddle {
namespace operators {

class ScaleOp : public framework::OperatorWithKernel {
 public:
24 25 26
  ScaleOp(const std::string &type, const framework::VariableNameMap &inputs,
          const framework::VariableNameMap &outputs,
          const framework::AttributeMap &attrs)
Y
Yu Yang 已提交
27 28
      : OperatorWithKernel(type, inputs, outputs, attrs) {}

29
  void InferShape(framework::InferShapeContext *ctx) const override {
Q
Qiao Longfei 已提交
30 31 32 33 34 35
    PADDLE_ENFORCE(ctx->HasInput("X"),
                   "Input(X) of ScaleOp should not be null.");
    PADDLE_ENFORCE(ctx->HasOutput("Out"),
                   "Output(Out) of ScaleOp should not be null.");
    ctx->SetOutputDim("Out", ctx->GetInputDim("X"));
    ctx->ShareLoD("X", /*->*/ "Out");
Y
Yu Yang 已提交
36 37 38 39 40 41
  }
};

template <typename AttrType>
class ScaleOpMaker : public framework::OpProtoAndCheckerMaker {
 public:
42
  ScaleOpMaker(OpProto *proto, OpAttrChecker *op_checker)
Y
Yu Yang 已提交
43
      : OpProtoAndCheckerMaker(proto, op_checker) {
44 45 46 47
    AddInput("X", "(Tensor) Input tensor of scale operator.");
    AddOutput("Out", "(Tensor) Output tensor of scale operator.");
    AddComment(R"DOC(
Scale operator
Y
Yu Yang 已提交
48

49
$$Out = scale*X$$
Y
Yu Yang 已提交
50
)DOC");
51
    AddAttr<AttrType>("scale",
P
init  
peterzhang2029 已提交
52
                      "(float, default 1.0)"
53
                      "The scaling factor of the scale operator.")
C
caoying03 已提交
54
        .SetDefault(1.0);
Y
Yu Yang 已提交
55 56 57
  }
};

58
class ScaleGradMaker : public framework::SingleGradOpDescMaker {
Y
Yu Yang 已提交
59
 public:
60 61
  using framework::SingleGradOpDescMaker::SingleGradOpDescMaker;

Y
Yu Yang 已提交
62 63
  std::unique_ptr<framework::OpDesc> Apply() const override {
    auto *grad_op = new framework::OpDesc();
Y
Yu Yang 已提交
64 65 66 67
    grad_op->SetType("scale");
    grad_op->SetInput("X", OutputGrad("Out"));
    grad_op->SetOutput("Out", InputGrad("X"));
    grad_op->SetAttr("scale", GetAttr("scale"));
Y
Yu Yang 已提交
68
    return std::unique_ptr<framework::OpDesc>(grad_op);
Y
Yu Yang 已提交
69 70 71 72 73 74 75 76
  }
};

}  // namespace operators
}  // namespace paddle

namespace ops = paddle::operators;

77 78
REGISTER_OPERATOR(scale, ops::ScaleOp, ops::ScaleOpMaker<float>,
                  ops::ScaleGradMaker);
Q
QI JUN 已提交
79 80 81 82 83
REGISTER_OP_CPU_KERNEL(
    scale, ops::ScaleKernel<paddle::platform::CPUDeviceContext, float>,
    ops::ScaleKernel<paddle::platform::CPUDeviceContext, double>,
    ops::ScaleKernel<paddle::platform::CPUDeviceContext, int>,
    ops::ScaleKernel<paddle::platform::CPUDeviceContext, int64_t>);