softmax_op.cc 2.0 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13
/* 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. */
14
#include "paddle/operators/softmax_op.h"
15 16 17 18

namespace paddle {
namespace operators {

19
class SoftmaxOp : public OperatorWithKernel {
20
protected:
21 22
  void InferShape(const std::vector<const Tensor *> &inputs,
                  const std::vector<Tensor *> &outputs) const override {
23
    PADDLE_ENFORCE(inputs.size() == 1, "Only one input is need for softmax");
Q
qijun 已提交
24 25
    PADDLE_ENFORCE(inputs[0]->dims().size() == 2,
                   "The input of softmax op must be matrix");
26 27
    PADDLE_ENFORCE(outputs.size() == 1, "Only one output is need for softmax");

F
fengjiayi 已提交
28
    outputs[0]->Resize(inputs[0]->dims());
29 30 31
  }
};

32
class SoftmaxOpMaker : public OpProtoAndCheckerMaker {
33
public:
34
  SoftmaxOpMaker(OpProto *proto, OpAttrChecker *op_checker)
35 36 37 38 39 40 41
      : OpProtoAndCheckerMaker(proto, op_checker) {
    AddInput("X", "input of softmax");
    AddOutput("Y", "output of softmax");
    AddComment("Softmax Op");
  }
};

42
class SoftmaxOpGrad : public OperatorWithKernel {
D
dongzhihong 已提交
43
protected:
44 45
  void InferShape(const std::vector<const Tensor *> &inputs,
                  const std::vector<Tensor *> &outputs) const override {}
D
dongzhihong 已提交
46 47 48 49 50 51
  std::string DebugString() const override {
    LOG(INFO) << "SoftmaxOpGrad";
    return "";
  }
};

52 53 54 55
}  // namespace operators
}  // namespace paddle

REGISTER_OP(softmax, ops::SoftmaxOp, ops::SoftmaxOpMaker);
56 57
REGISTER_GRADIENT_OP(softmax, softmax_grad, ops::SoftmaxOpGrad);
REGISTER_OP_CPU_KERNEL(softmax, ops::SoftmaxKernel<ops::CPUPlace, float>);