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

Q
Qiao Longfei 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

Q
Qiao Longfei 已提交
7 8 9 10 11 12 13
    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. */
14

15
#include "paddle/operators/softmax_op.h"
16 17 18 19

namespace paddle {
namespace operators {

20
class SoftmaxOp : public OperatorWithKernel {
21
 protected:
22
  void InferShape(const InferShapeContext &ctx) const override {
Q
Qiao Longfei 已提交
23 24 25
    PADDLE_ENFORCE(ctx.InputSize() == 1UL,
                   "Only one input is need for softmax");
    PADDLE_ENFORCE(ctx.Input<Tensor>("X")->dims().size() == 2UL,
Q
qijun 已提交
26
                   "The input of softmax op must be matrix");
Q
Qiao Longfei 已提交
27
    PADDLE_ENFORCE(ctx.OutputSize() == 1UL,
28
                   "Only one output is need for softmax");
Q
Qiao Longfei 已提交
29
    ctx.Output<Tensor>("Y")->Resize(ctx.Input<Tensor>("X")->dims());
30 31 32
  }
};

33
class SoftmaxOpMaker : public OpProtoAndCheckerMaker {
34
 public:
35
  SoftmaxOpMaker(OpProto *proto, OpAttrChecker *op_checker)
36 37 38 39 40 41 42
      : OpProtoAndCheckerMaker(proto, op_checker) {
    AddInput("X", "input of softmax");
    AddOutput("Y", "output of softmax");
    AddComment("Softmax Op");
  }
};

43
class SoftmaxOpGrad : public OperatorWithKernel {
44
 protected:
Q
Qiao Longfei 已提交
45 46 47 48 49 50
  void InferShape(const InferShapeContext &ctx) const override {
    PADDLE_ENFORCE(ctx.InputSize() == 3UL,
                   "Input of SoftmaxOpGrad should be 3, X, Y, YG");
    PADDLE_ENFORCE(ctx.OutputSize() == 1UL,
                   "Output of SoftmaxOpGrad should be 1");
    PADDLE_ENFORCE(ctx.InputVar("Y") != nullptr, "Input(Y) should not be null");
51
    PADDLE_ENFORCE(ctx.InputVar(framework::GradVarName("Y")) != nullptr,
Q
Qiao Longfei 已提交
52 53
                   "Input(Y@GRAD) should not be null");
    PADDLE_ENFORCE(ctx.Input<Tensor>("Y")->dims() ==
Y
Yi Wang 已提交
54
                       ctx.Input<Tensor>(framework::GradVarName("Y"))->dims(),
Q
Qiao Longfei 已提交
55
                   "the shape of Input(0) and Input(1) should be the same");
56
    ctx.Output<Tensor>(framework::GradVarName("X"))
Q
Qiao Longfei 已提交
57
        ->Resize(ctx.Input<Tensor>("Y")->dims());
D
dongzhihong 已提交
58 59 60
  }
};

61 62 63 64
}  // namespace operators
}  // namespace paddle

REGISTER_OP(softmax, ops::SoftmaxOp, ops::SoftmaxOpMaker);
65
REGISTER_OP_CPU_KERNEL(softmax, ops::SoftmaxKernel<ops::CPUPlace, float>);
Q
Qiao Longfei 已提交
66 67 68
REGISTER_GRADIENT_OP(softmax, softmax_grad, ops::SoftmaxOpGrad);
REGISTER_OP_CPU_KERNEL(softmax_grad,
                       ops::SoftmaxGradKernel<ops::CPUPlace, float>);