| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "BatchToSpaceNd.hpp" |
| |
| #include "RefWorkloadUtils.hpp" |
| |
| #include <armnn/Types.hpp> |
| |
| #include <boost/assert.hpp> |
| |
| using namespace armnnUtils; |
| |
| namespace armnn |
| { |
| |
| inline unsigned int Offset(const TensorShape& shape, unsigned int batch, unsigned int height, unsigned int width, |
| unsigned int channels, const DataLayoutIndexed& dataLayout) |
| { |
| if (dataLayout.GetDataLayout() == DataLayout::NHWC) |
| { |
| return ((batch * shape[dataLayout.GetHeightIndex()] + height) * shape[dataLayout.GetWidthIndex()] + width) * |
| shape[dataLayout.GetChannelsIndex()] + channels; |
| } |
| else |
| { |
| return ((batch * shape[dataLayout.GetChannelsIndex()] + channels) * |
| shape[dataLayout.GetHeightIndex()] + height) * |
| shape[dataLayout.GetWidthIndex()] + width; |
| } |
| } |
| |
| void BatchToSpaceNd(const DataLayoutIndexed& dataLayout, |
| const TensorInfo& inputTensorInfo, |
| const TensorInfo& outputTensorInfo, |
| const std::vector<unsigned int>& blockShape, |
| const std::vector<std::pair<unsigned int, unsigned int>>& cropsData, |
| Decoder<float>& inputDecoder, |
| Encoder<float>& outputEncoder) |
| { |
| TensorShape inputShape = inputTensorInfo.GetShape(); |
| |
| BOOST_ASSERT_MSG(inputShape.GetNumDimensions() == 4, "Expected Input with 4 Dimensions"); |
| |
| TensorShape outputShape = outputTensorInfo.GetShape(); |
| |
| BOOST_ASSERT_MSG(outputShape.GetNumDimensions() == 4, "Expected Output with 4 Dimensions"); |
| |
| const unsigned int inputBatchSize = inputShape[0]; |
| const unsigned int channels = inputShape[dataLayout.GetChannelsIndex()]; |
| |
| const unsigned int outputBatchSize = outputShape[0]; |
| const unsigned int outputHeight = outputShape[dataLayout.GetHeightIndex()]; |
| const unsigned int outputWidth = outputShape[dataLayout.GetWidthIndex()]; |
| |
| BOOST_ASSERT_MSG(blockShape.size() > 0, "BlockShape must contain 1 or more entries"); |
| |
| const unsigned int blockShapeHeight = blockShape[0]; |
| const unsigned int blockShapeWidth = blockShape[1]; |
| |
| BOOST_ASSERT_MSG(cropsData.size() > 0, "Crops must contain 1 or more entries"); |
| |
| const unsigned int cropsTop = cropsData[0].first; |
| const unsigned int cropsLeft = cropsData[1].first; |
| |
| for (unsigned int inBatch = 0; inBatch < inputBatchSize; ++inBatch) |
| { |
| const unsigned int outBatch = inBatch % outputBatchSize; |
| const unsigned int spatialOffset = inBatch / outputBatchSize; |
| |
| for (unsigned int inH = 0; inH < inputTensorInfo.GetShape()[dataLayout.GetHeightIndex()]; ++inH) { |
| const unsigned int outH = inH * blockShapeHeight + spatialOffset / blockShapeWidth - cropsTop; |
| |
| if (outH >= outputHeight) |
| { |
| continue; |
| } |
| |
| for (unsigned int inW = 0; inW < inputTensorInfo.GetShape()[dataLayout.GetWidthIndex()]; ++inW) { |
| const unsigned int outW = inW * blockShapeWidth + spatialOffset % blockShapeWidth - cropsLeft; |
| |
| if (outW >= outputWidth) |
| { |
| continue; |
| } |
| |
| for (unsigned int c = 0; c < channels; c++) |
| { |
| unsigned int outOffset = Offset(outputShape, outBatch, outH, outW, c, dataLayout); |
| unsigned int inOffset = Offset(inputShape, inBatch, inH, inW, c, dataLayout); |
| |
| outputEncoder[outOffset]; |
| inputDecoder[inOffset]; |
| outputEncoder.Set(inputDecoder.Get()); |
| } |
| } |
| } |
| } |
| } |
| |
| } //namespace armnn |