| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "SpaceToBatchNd.hpp" |
| |
| #include <armnnUtils/DataLayoutIndexed.hpp> |
| |
| using namespace armnnUtils; |
| |
| namespace armnn |
| { |
| |
| unsigned int GetOffset(const TensorShape& shape, |
| unsigned int b, |
| unsigned int h, |
| unsigned int w, |
| unsigned int c, |
| const DataLayoutIndexed& dataLayout) |
| { |
| if (dataLayout.GetDataLayout() == DataLayout::NHWC) |
| { |
| return ((b * shape[dataLayout.GetHeightIndex()] + h) * shape[dataLayout.GetWidthIndex()] + w) * |
| shape[dataLayout.GetChannelsIndex()] + c; |
| } |
| else |
| { |
| return ((b * shape[dataLayout.GetChannelsIndex()] + c) * shape[dataLayout.GetHeightIndex()] + h) * |
| shape[dataLayout.GetWidthIndex()] + w; |
| } |
| } |
| |
| void SpaceToBatchNd(const TensorInfo& inputInfo, |
| const TensorInfo& outputInfo, |
| const SpaceToBatchNdDescriptor& params, |
| Decoder<float>& inputData, |
| Encoder<float>& outputData) |
| { |
| DataLayoutIndexed dataLayout = params.m_DataLayout; |
| |
| const TensorShape& inputShape = inputInfo.GetShape(); |
| const TensorShape& outputShape = outputInfo.GetShape(); |
| |
| const unsigned int channels = inputShape[dataLayout.GetChannelsIndex()]; |
| |
| const unsigned int inputBatchSize = inputShape[0]; |
| const unsigned int inputHeight = inputShape[dataLayout.GetHeightIndex()]; |
| const unsigned int inputWidth = inputShape[dataLayout.GetWidthIndex()]; |
| |
| const unsigned int outputBatchSize = outputShape[0]; |
| const unsigned int outputHeight = outputShape[dataLayout.GetHeightIndex()]; |
| const unsigned int outputWidth = outputShape[dataLayout.GetWidthIndex()]; |
| |
| const unsigned int blockHeight = params.m_BlockShape[0]; |
| const unsigned int blockWidth = params.m_BlockShape[1]; |
| |
| const unsigned int paddingTop = params.m_PadList[0].first; |
| const unsigned int paddingLeft = params.m_PadList[1].first; |
| |
| for (unsigned int outB = 0; outB < outputBatchSize; outB++) |
| { |
| unsigned int inB = outB % inputBatchSize; |
| |
| unsigned int shiftW = (outB / inputBatchSize) % blockWidth; |
| unsigned int shiftH = (outB / inputBatchSize) / blockWidth; |
| |
| for (unsigned int outH = 0; outH < outputHeight; outH++) |
| { |
| for (unsigned int outW = 0; outW < outputWidth; outW++) |
| { |
| if (outH * blockHeight + shiftH < paddingTop || |
| outH * blockHeight + shiftH >= paddingTop + inputHeight || |
| outW * blockWidth + shiftW < paddingLeft || |
| outW * blockWidth + shiftW >= paddingLeft + inputWidth) |
| { |
| for (unsigned int c = 0; c < channels; c++) |
| { |
| unsigned int outOffset = GetOffset(outputShape, |
| outB, |
| outH, |
| outW, |
| c, |
| dataLayout); |
| outputData += outOffset; |
| outputData.Set(0); |
| outputData -= outOffset; |
| } |
| } |
| else |
| { |
| for (unsigned int c = 0; c < channels; c++) |
| { |
| unsigned int inOffset = GetOffset(inputShape, |
| inB, |
| (outH * blockHeight + shiftH) - paddingTop, |
| (outW * blockWidth + shiftW) - paddingLeft, |
| c, |
| dataLayout); |
| |
| unsigned int outOffset = GetOffset(outputShape, |
| outB, |
| outH, |
| outW, |
| c, |
| dataLayout); |
| |
| outputData += outOffset; |
| inputData += inOffset; |
| outputData.Set(inputData.Get()); |
| inputData -= inOffset; |
| outputData -= outOffset; |
| } |
| } |
| } |
| } |
| } |
| } |
| |
| void SpaceToBatchNd(const TensorInfo& inputInfo, |
| const TensorInfo& outputInfo, |
| const SpaceToBatchNdDescriptor& params, |
| Decoder<float>& inputData, |
| Encoder<float>& outData); |
| |
| } //namespace armnn |