caffe2/operators/scale_op.cc

/**
 * Copyright (c) 2016-present, Facebook, Inc.
 *
 * 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 "caffe2/operators/scale_op.h"

namespace caffe2 {

REGISTER_CPU_OPERATOR(Scale, ScaleOp<CPUContext>);
OPERATOR_SCHEMA(Scale)
  .NumInputs(1)
  .NumOutputs(1)
  .AllowInplace({{0, 0}})
  .IdenticalTypeAndShape()
  .SetDoc(R"DOC(
Scale takes one input data (Tensor<float>) and produces one output data
(Tensor<float>) whose value is the input data tensor scaled element-wise.
)DOC")
  .Arg("scale", "(float, default 1.0) the scale to apply.");

class GetScaleGradient : public GradientMakerBase {
  using GradientMakerBase::GradientMakerBase;
  vector<OperatorDef> GetGradientDefs() override {
    // CopyArguments is true by default so the "scale" arg is going to be copied
    return SingleGradientDef(
        "Scale", "", vector<string>{GO(0)}, vector<string>{GI(0)});
  }
};
REGISTER_GRADIENT(Scale, GetScaleGradient);
}  // namespace caffe2