scale_op.cc 3.8 KB
Newer Older
Y
Yu Yang 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22
/* 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/scale_op.h"
#include "paddle/operators/net_op.h"

namespace paddle {
namespace operators {

class ScaleOp : public framework::OperatorWithKernel {
 public:
23 24 25
  ScaleOp(const std::string &type, const framework::VariableNameMap &inputs,
          const framework::VariableNameMap &outputs,
          const framework::AttributeMap &attrs)
Y
Yu Yang 已提交
26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55
      : OperatorWithKernel(type, inputs, outputs, attrs) {}

 protected:
  void InferShape(const framework::InferShapeContext &ctx) const override {
    auto *in = ctx.Input<framework::Tensor>("X");
    auto *out = ctx.Output<framework::Tensor>("Out");
    out->Resize(in->dims());
  }
};

template <typename AttrType>
class ScaleOpMaker : public framework::OpProtoAndCheckerMaker {
 public:
  ScaleOpMaker(framework::OpProto *proto, framework::OpAttrChecker *op_checker)
      : OpProtoAndCheckerMaker(proto, op_checker) {
    AddInput("X", "The input tensor of scale operator.").NotInGradient();
    AddOutput("Out", "The output tensor of scale operator.").NotInGradient();
    AddComment(R"DOC(Scale operator

The equation is: Out = scale*X
)DOC");
    AddAttr<AttrType>("scale", "scale of scale operator.").SetDefault(1.0);
  }
};

// Identity Op's gradient is identity op, too.
// Grad(Out=scale(X)) => Grad(X) = scale(Grad(Out))
template <typename AttrType>
class ScaleGradOp : public NetOp {
 public:
56 57 58
  ScaleGradOp(const std::string &type, const framework::VariableNameMap &inputs,
              const framework::VariableNameMap &outputs,
              const framework::AttributeMap &attrs)
Y
Yu Yang 已提交
59
      : NetOp(type, inputs, outputs, attrs) {
60
    AppendOp(framework::OpRegistry::CreateOp(
Y
Yu Yang 已提交
61 62
        "scale", {{"X", {Input(framework::GradVarName("Out"))}}},
        {{"Out", {Output(framework::GradVarName("X"))}}},
Y
Yu Yang 已提交
63
        {{"scale", Attr<AttrType>("scale")}}));
Y
Yu Yang 已提交
64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84
    CompleteAddOp(false);
  }
};

// identity is a alias of scale op. This is also a example for creating a alias
// operator.
template <typename AttrType>
class IdentityOpMaker : public framework::OpProtoAndCheckerMaker {
 public:
  IdentityOpMaker(framework::OpProto *proto,
                  framework::OpAttrChecker *op_checker)
      : OpProtoAndCheckerMaker(proto, op_checker) {
    AddInput("X", "input tensor of identity op");
    AddOutput("Out", "output tensor of identity op");
    AddComment("identity operator. Just a alias of scale op which scale = 1.0");
  }
};

template <typename AttrType>
class IdentityOp : public NetOp {
 public:
85 86 87
  IdentityOp(const std::string &type, const framework::VariableNameMap &inputs,
             const framework::VariableNameMap &outputs,
             const framework::AttributeMap &attrs)
Y
Yu Yang 已提交
88
      : NetOp(type, inputs, outputs, attrs) {
89
    AppendOp(framework::OpRegistry::CreateOp(
Y
Yu Yang 已提交
90 91 92 93 94 95 96 97 98 99
        "scale", {{"X", {Input("X")}}}, {{"Out", {Output("Out")}}},
        {{"scale", static_cast<AttrType>(1)}}));
  }
};

}  // namespace operators
}  // namespace paddle

namespace ops = paddle::operators;

100
REGISTER_OP(scale, ops::ScaleOp, ops::ScaleOpMaker<float>, scale_grad,
Y
Yu Yang 已提交
101 102 103 104 105
            ops::ScaleGradOp<float>);
REGISTER_OP_CPU_KERNEL(scale,
                       ops::ScaleKernel<paddle::platform::CPUPlace, float>);
REGISTER_OP_WITHOUT_GRADIENT(identity, ops::IdentityOp<float>,
                             ops::IdentityOpMaker<float>);