prelu_op.cc 3.5 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
/* 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 "paddle/operators/prelu_op.h"
#include "paddle/operators/net_op.h"

namespace paddle {
namespace operators {

Z
fix  
zchen0211 已提交
21
class PReluOp : public framework::OperatorWithKernel {
Z
zchen0211 已提交
22
 public:
Z
fix  
zchen0211 已提交
23
  PReluOp(const std::string &type, const framework::VariableNameMap &inputs,
Z
zchen0211 已提交
24 25 26 27 28 29
          const framework::VariableNameMap &outputs,
          const framework::AttributeMap &attrs)
      : OperatorWithKernel(type, inputs, outputs, attrs) {}

 protected:
  void InferShape(const framework::InferShapeContext &ctx) const override {
Z
zchen0211 已提交
30
    PADDLE_ENFORCE_NOT_NULL(ctx.InputVar("X"), "Input(X) should not be null");
Z
zchen0211 已提交
31
    auto *in = ctx.Input<framework::Tensor>("X");
Z
prelu  
zchen0211 已提交
32 33 34 35 36
    PADDLE_ENFORCE_NOT_NULL(ctx.InputVar("Alpha"),
                            "Input(Alpha) should not be null");
    auto *alpha = ctx.Input<framework::Tensor>("Alpha");
    PADDLE_ENFORCE(alpha->numel() == 1, "Size of weight Alpha must be one.");

Z
zchen0211 已提交
37 38
    PADDLE_ENFORCE_NOT_NULL(ctx.OutputVar("Out"),
                            "Output(Out) should not be null");
Z
zchen0211 已提交
39 40
    auto *out = ctx.Output<framework::LoDTensor>("Out");
    out->Resize(in->dims());
41
    ctx.ShareLoD("X", "Out");
Z
zchen0211 已提交
42 43 44
  }
};

Z
fix  
zchen0211 已提交
45
class PReluOpMaker : public framework::OpProtoAndCheckerMaker {
Z
zchen0211 已提交
46
 public:
Z
fix  
zchen0211 已提交
47
  PReluOpMaker(framework::OpProto *proto, framework::OpAttrChecker *op_checker)
Z
zchen0211 已提交
48
      : OpProtoAndCheckerMaker(proto, op_checker) {
Z
zchen0211 已提交
49
    AddInput("X", "The input tensor of prelu operator.");
Z
prelu  
zchen0211 已提交
50 51
    AddInput("Alpha", "The alpha weight of PRelu operator.");
    AddOutput("Out", "The output tensor of PRelu operator.");
Z
fix  
zchen0211 已提交
52
    AddComment(R"DOC(PRelu operator
Z
zchen0211 已提交
53 54

The equation is:
Z
zchen0211 已提交
55 56 57 58

  f(x) = alpha * x , for x < 0
  f(x) = x         , for x >= 0

59 60
The input `X` can carry the LoD (Level of Details) information,
or not. And the output shares the LoD with input `X`.
Z
zchen0211 已提交
61 62 63 64 65
)DOC");
  }
};

// The operator to calculate gradients of a prelu operator.
Z
fix  
zchen0211 已提交
66
class PReluGradOp : public framework::OperatorWithKernel {
Z
zchen0211 已提交
67 68 69 70 71
 public:
  using framework::OperatorWithKernel::OperatorWithKernel;

 protected:
  void InferShape(const framework::InferShapeContext &ctx) const override {
Z
zchen0211 已提交
72
    PADDLE_ENFORCE_NOT_NULL(ctx.InputVar("X"), "Input(X) must not be null.");
Z
zchen0211 已提交
73 74
    PADDLE_ENFORCE_NOT_NULL(ctx.InputVar(framework::GradVarName("Out")),
                            "Input(Out@GRAD) should not be null");
Z
prelu  
zchen0211 已提交
75 76 77 78 79 80
    auto *dx = ctx.Output<framework::LoDTensor>(framework::GradVarName("X"));
    auto *x = ctx.Input<framework::Tensor>("X");

    auto *dalpha =
        ctx.Output<framework::LoDTensor>(framework::GradVarName("Alpha"));
    auto *alpha = ctx.Input<framework::Tensor>("Alpha");
Z
zchen0211 已提交
81

Z
prelu  
zchen0211 已提交
82 83
    dx->Resize(x->dims());
    dalpha->Resize(alpha->dims());
Z
zchen0211 已提交
84 85 86 87 88 89 90 91
  }
};

}  // namespace operators
}  // namespace paddle

namespace ops = paddle::operators;

Z
prelu  
zchen0211 已提交
92
REGISTER_OP(prelu, ops::PReluOp, ops::PReluOpMaker, prelu_grad,
Z
fix  
zchen0211 已提交
93
            ops::PReluGradOp);
Z
zchen0211 已提交
94
REGISTER_OP_CPU_KERNEL(prelu,
Z
fix  
zchen0211 已提交
95
                       ops::PReluKernel<paddle::platform::CPUPlace, float>);
Z
zchen0211 已提交
96
REGISTER_OP_CPU_KERNEL(prelu_grad,
Z
fix  
zchen0211 已提交
97
                       ops::PReluGradKernel<paddle::platform::CPUPlace, float>);