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69 lines
2.0 KiB
69 lines
2.0 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. 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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/**
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* DotMulProjection performs element-wise multiplication with weight:
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* \f[
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* out.row[i] += in.row[i] .* weight
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* \f]
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* where \f$.*\f$ means element-wise multiplication.
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*
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* The config file api is dotmul_projection.
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*/
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class DotMulProjection : public Projection {
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public:
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DotMulProjection(const ProjectionConfig& config,
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const ParameterPtr& parameter,
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bool useGpu);
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virtual void forward();
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virtual void backward(const UpdateCallback& callback);
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protected:
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/// shared memory with parameter
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std::unique_ptr<Weight> weight_;
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};
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REGISTER_PROJECTION(dot_mul, DotMulProjection);
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DotMulProjection::DotMulProjection(const ProjectionConfig& config,
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const ParameterPtr& parameter,
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bool useGpu)
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: Projection(config, parameter, useGpu) {
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weight_.reset(new Weight(1LU, config.output_size(), parameter));
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}
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void DotMulProjection::forward() {
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out_->value->addDotMulMMV(*in_->value, *(weight_->getW()));
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}
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void DotMulProjection::backward(const UpdateCallback& callback) {
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/* Calculate the W-gradient for the current layer */
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if (weight_->getWGrad()) {
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weight_->getWGrad()->addDotMulVMM(*out_->grad, *in_->value);
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}
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/* Calculate the input layers error */
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if (in_->grad) {
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in_->grad->addDotMulMMV(*out_->grad, *(weight_->getW()));
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}
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parameter_->incUpdate(callback);
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}
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} // namespace paddle
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