70 lines
2.0 KiB
70 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 "TransLayer.h"
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#include "paddle/utils/Logging.h"
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namespace paddle {
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REGISTER_LAYER(trans, TransLayer);
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bool TransLayer::init(const LayerMap& layerMap,
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const ParameterMap& parameterMap) {
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/* Initialize the basic parent class */
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Layer::init(layerMap, parameterMap);
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/* the size of inputs for trans-layer is 1 */
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CHECK_EQ(config_.inputs_size(), 1);
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return true;
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}
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void TransLayer::forward(PassType passType) {
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Layer::forward(passType);
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/* malloc memory for the output_ if necessary */
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MatrixPtr input = getInputValue(0);
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int height = input->getHeight();
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int width = input->getWidth();
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resizeOutput(width, height);
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MatrixPtr outV = getOutputValue();
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/* outV's memory has been allocated, so memAlloc = false */
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input->transpose(outV, false);
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if (getInputGrad(0)) {
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zeroGrad();
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}
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}
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void TransLayer::backward(const UpdateCallback& callback) {
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(void)callback;
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MatrixPtr outputGrad = getOutputGrad();
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if (outputGrad == NULL) {
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return;
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}
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MatrixPtr preGrad = getInputGrad(0);
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if (preGrad) {
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MatrixPtr transGrad = Matrix::create(preGrad->getHeight(),
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preGrad->getWidth(),
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/* trans= */ false,
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preGrad->useGpu());
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outputGrad->transpose(transGrad, false);
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preGrad->add(*transGrad);
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}
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}
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} // namespace paddle
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