sign_op.cc 2.3 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
/* 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/sign_op.h"

namespace paddle {
namespace operators {

class SignOp : public framework::OperatorWithKernel {
 public:
  using framework::OperatorWithKernel::OperatorWithKernel;

  void InferShape(framework::InferShapeContext *ctx) const override {
    PADDLE_ENFORCE(ctx->HasInput("X"),
                   "Input(X) of SignOp should not be null.");
    PADDLE_ENFORCE(ctx->HasOutput("Out"),
                   "Output(Out) of SignOp should not be null.");
    ctx->SetOutputDim("Out", ctx->GetInputDim("X"));
    ctx->ShareLoD("X", /*->*/ "Out");
  }
};

template <typename AttrType>
class SignOpMaker : public framework::OpProtoAndCheckerMaker {
 public:
37
  SignOpMaker(OpProto *proto, OpAttrChecker *op_checker)
38 39 40
      : OpProtoAndCheckerMaker(proto, op_checker) {
    AddInput("X", "(Tensor) Input tensor of sign operator.");
    AddOutput("Out", "(Tensor) Output tensor of sign operator.");
41 42
    AddComment(R"DOC(
Sign operator
43

44
$$Out = X.sign()$$
45 46 47 48 49 50 51 52
)DOC");
  }
};

class SignGradMaker : public framework::SingleGradOpDescMaker {
 public:
  using framework::SingleGradOpDescMaker::SingleGradOpDescMaker;

Y
Yu Yang 已提交
53 54
  std::unique_ptr<framework::OpDesc> Apply() const override {
    auto *grad_op = new framework::OpDesc();
55 56 57 58
    grad_op->SetType("scale");
    grad_op->SetInput("X", OutputGrad("Out"));
    grad_op->SetOutput("Out", InputGrad("X"));
    grad_op->SetAttr("scale", 0.0f);
Y
Yu Yang 已提交
59
    return std::unique_ptr<framework::OpDesc>(grad_op);
60 61 62 63 64 65 66 67 68 69
  }
};

}  // namespace operators
}  // namespace paddle

namespace ops = paddle::operators;

REGISTER_OPERATOR(sign, ops::SignOp, ops::SignOpMaker<float>,
                  ops::SignGradMaker);
Q
QI JUN 已提交
70 71
REGISTER_OP_CPU_KERNEL(
    sign, ops::SignKernel<paddle::platform::CPUDeviceContext, float>);