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95 lines
2.5 KiB
95 lines
2.5 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 "Layer.h"
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#include "paddle/math/Matrix.h"
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#include "paddle/utils/Logging.h"
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#include "paddle/utils/Stat.h"
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namespace paddle {
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/**
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* @brief A layer for applying a slope and an intercept to the input
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* element-wise.
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* This layer is used in NEURAL TURING MACHINE.
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* @note There is no activation and weight in this layer.
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*
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* \f[
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* y = ax + b
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* \f]
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*
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* Here, a is scale and b is offset, which are provided as attributes of the
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* layer.
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*
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* The config file api is slope_intercept_layer.
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*/
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class SlopeInterceptLayer : public Layer {
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public:
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explicit SlopeInterceptLayer(const LayerConfig& config) : Layer(config) {}
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bool init(const LayerMap& layerMap,
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const ParameterMap& parameterMap) override;
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void forward(PassType passType) override;
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void backward(const UpdateCallback& callback = nullptr) override;
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};
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REGISTER_LAYER(slope_intercept, SlopeInterceptLayer);
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bool SlopeInterceptLayer::init(const LayerMap& layerMap,
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const ParameterMap& parameterMap) {
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Layer::init(layerMap, parameterMap);
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CHECK_EQ(inputLayers_.size(), 1U);
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return true;
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}
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void SlopeInterceptLayer::forward(PassType passType) {
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Layer::forward(passType);
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MatrixPtr inV = getInputValue(0);
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/* malloc memory for the output_ if necessary */
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size_t batchSize = inV->getHeight();
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size_t size = getSize();
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CHECK_EQ(size, inV->getWidth());
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{
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REGISTER_TIMER_INFO("FwResetTimer", getName().c_str());
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reserveOutput(batchSize, size);
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}
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MatrixPtr outV = getOutputValue();
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{
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REGISTER_TIMER_INFO("FwSlopeInterceptTimer", getName().c_str());
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outV->mulScalar(*inV, config_.slope());
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outV->add(config_.intercept());
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}
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}
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void SlopeInterceptLayer::backward(const UpdateCallback& callback) {
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MatrixPtr inG = getInputGrad(0);
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MatrixPtr outG = getOutputGrad();
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if (inG) {
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REGISTER_TIMER_INFO("BwSlopeInterceptTimer", getName().c_str());
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inG->add(*outG, config_.slope());
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}
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}
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} // namespace paddle
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