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/* Copyright (c) 2016 Baidu, Inc. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "Projection.h"
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namespace paddle {
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class ScalingProjection : public Projection {
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public:
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ScalingProjection(const ProjectionConfig& config,
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const ParameterPtr& parameter, bool useGpu)
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: Projection(config, parameter, useGpu) {
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CHECK_EQ(parameter->getSize(), 1UL);
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weight_.reset(new Weight(1, 1, parameter));
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}
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void forward() {
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CHECK(in_->value);
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out_->value->add(*in_->value, weight_->getW()->getElement(0, 0));
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}
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void backward(const UpdateCallback& callback) {
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if (weight_->getWGrad()) {
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auto sum = Matrix::create(in_->value->getHeight(), 1, false, useGpu_);
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sum->sumOfProducts(*in_->value, *out_->grad,
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/* scaleSum= */1, /* scaleDest= */0);
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weight_->getWGrad()->sumCols(*sum,
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/* scaleSum= */1, /* scaleDest= */1);
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parameter_->incUpdate(callback);
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}
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if (in_->grad) {
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in_->grad->add(*out_->grad, weight_->getW()->getElement(0, 0));
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}
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}
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protected:
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std::unique_ptr<Weight> weight_;
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};
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REGISTER_PROJECTION(scaling, ScalingProjection);
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} // namespace paddle
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