/* Copyright (c) 2016 Baidu, Inc. All Rights Reserve. 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 "RotateLayer.h" namespace paddle { REGISTER_LAYER(rotate, RotateLayer); bool RotateLayer::init(const LayerMap& layerMap, const ParameterMap& parameterMap) { Layer::init(layerMap, parameterMap); CHECK_EQ(inputLayers_.size(), 1UL); height_ = config_.height(); width_ = config_.width(); return true; } void RotateLayer::forward(PassType passType) { Layer::forward(passType); MatrixPtr input = getInputValue(0); batchSize_ = input->getHeight(); size_ = input->getWidth(); CHECK_GE(size_, height_ * width_); CHECK_EQ(size_ % (height_ * width_), 0) << "The input's depth should be an int"; channels_ = size_ / (height_ * width_); resizeOutput(batchSize_, size_); MatrixPtr outV = getOutputValue(); for (int b = 0; b < batchSize_; b++) { // for each input feat map for (int c = 0; c < channels_; c++) { // for each feat channel MatrixPtr inputSample = Matrix::create(input->getData() + b * size_ + c * height_ * width_, height_, width_, false, useGpu_); MatrixPtr outputSample = Matrix::create(outV->getData() + b * size_ + c * height_ * width_, width_, height_, false, useGpu_); inputSample->rotate(outputSample, false, true /* clock-wise */); } } if (getInputGrad(0)) { zeroGrad(); } } void RotateLayer::backward(const UpdateCallback& callback) { (void)callback; MatrixPtr outputGrad = getOutputGrad(); if (outputGrad == NULL) { return; } // the grad should be rotated in the reverse direction MatrixPtr preGrad = getInputGrad(0); for (int b = 0; b < batchSize_; b++) { // for each input feat map for (int c = 0; c < channels_; c++) { // for each feat channel MatrixPtr inputSampleGrad = Matrix::create(preGrad->getData() + b * size_ + c * height_ * width_, height_, width_, false, useGpu_); MatrixPtr outputSampleGrad = Matrix::create( outputGrad->getData() + b * size_ + c * height_ * width_, width_, height_, false, useGpu_); MatrixPtr tmpGrad = nullptr; outputSampleGrad->rotate(tmpGrad, true, false /* anti clock-wise */); inputSampleGrad->add(*tmpGrad); } } } } // namespace paddle