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Diffstat (limited to 'src/backends/reference/workloads/StridedSlice.cpp')
-rw-r--r-- | src/backends/reference/workloads/StridedSlice.cpp | 158 |
1 files changed, 158 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/StridedSlice.cpp b/src/backends/reference/workloads/StridedSlice.cpp new file mode 100644 index 0000000000..71903e421d --- /dev/null +++ b/src/backends/reference/workloads/StridedSlice.cpp @@ -0,0 +1,158 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "StridedSlice.hpp" + +#include <boost/assert.hpp> +#include <boost/numeric/conversion/cast.hpp> + +namespace armnn +{ + +void PadParams(StridedSliceDescriptor& p, unsigned int dimCount) +{ + BOOST_ASSERT_MSG(dimCount <= 4, "Expected input with at most 4 dimensions"); + + const unsigned int beginIndicesCount = + boost::numeric_cast<unsigned int>(p.m_Begin.size()); + + BOOST_ASSERT(dimCount >= beginIndicesCount); + const unsigned int padCount = dimCount - beginIndicesCount; + + p.m_Begin.resize(dimCount); + p.m_End.resize(dimCount); + p.m_Stride.resize(dimCount); + + for (unsigned int i = beginIndicesCount; i > 0; --i) + { + p.m_Stride[i + padCount - 1] = p.m_Stride[i - 1]; + p.m_Begin[i + padCount - 1] = p.m_Begin[i - 1]; + p.m_End[i + padCount - 1] = p.m_End[i - 1]; + } + + for (unsigned int i = 0; i < padCount; ++i) + { + p.m_Stride[i] = 1; + p.m_Begin[i] = 0; + p.m_End[i] = 0; + } + + p.m_ShrinkAxisMask <<= padCount; + p.m_EllipsisMask <<= padCount; + p.m_NewAxisMask <<= padCount; + p.m_BeginMask <<= padCount; + p.m_EndMask <<= padCount; + p.m_BeginMask |= (1 << padCount) - 1; + p.m_EndMask |= (1 << padCount) - 1; +} + +bool LoopCondition(int index, int stop, int stride) +{ + return stride > 0 ? index >= stop : index <= stop; +} + +TensorShape ExtendShape(const TensorShape& inputShape, + unsigned int newNumDimensions) +{ + if (inputShape.GetNumDimensions() >= newNumDimensions) + { + return inputShape; + } + + unsigned int newSizes[newNumDimensions]; + + unsigned int diff = newNumDimensions - inputShape.GetNumDimensions(); + + for (unsigned int i = 0; i < diff; i++) + { + newSizes[i] = 1; + } + + for (unsigned int i = diff; i < newNumDimensions; i++) + { + newSizes[i] = inputShape[i - diff]; + } + + return TensorShape(newNumDimensions, newSizes); +} + +template<typename T> +void StridedSlice(const TensorInfo& inputInfo, + const TensorInfo& outputInfo, + const StridedSliceDescriptor& params, + const T* inputData, + T* outputData) +{ + const TensorShape inputShape = + ExtendShape(inputInfo.GetShape(), 4); + + StridedSliceDescriptor paddedParams = params; + + // Pad parameters to 4 dimensions + PadParams(paddedParams, 4); + + const int start0 = + paddedParams.GetStartForAxis(inputShape, 0); + const int stop0 = + paddedParams.GetStopForAxis(inputShape, 0, start0); + + const int start1 = + paddedParams.GetStartForAxis(inputShape, 1); + const int stop1 = + paddedParams.GetStopForAxis(inputShape, 1, start1); + + const int start2 = + paddedParams.GetStartForAxis(inputShape, 2); + const int stop2 = + paddedParams.GetStopForAxis(inputShape, 2, start2); + + const int start3 = + paddedParams.GetStartForAxis(inputShape, 3); + const int stop3 = + paddedParams.GetStopForAxis(inputShape, 3, start3); + + T* outPtr = outputData; + + for (int in0 = start0; + !LoopCondition(in0, stop0, paddedParams.m_Stride[0]); + in0 += paddedParams.m_Stride[0]) + { + for (int in1 = start1; + !LoopCondition(in1, stop1, paddedParams.m_Stride[1]); + in1 += paddedParams.m_Stride[1]) + { + for (int in2 = start2; + !LoopCondition(in2, stop2, paddedParams.m_Stride[2]); + in2 += paddedParams.m_Stride[2]) + { + for (int in3 = start3; + !LoopCondition(in3, stop3, paddedParams.m_Stride[3]); + in3 += paddedParams.m_Stride[3]) + { + int dim1 = boost::numeric_cast<int>(inputShape[1]); + int dim2 = boost::numeric_cast<int>(inputShape[2]); + int dim3 = boost::numeric_cast<int>(inputShape[3]); + + int inputOffset = ((in0 * dim1 + in1) * dim2 + in2) * dim3 + in3; + *(outPtr++) = inputData[inputOffset]; + } + } + } + } +} + +template void StridedSlice<float>(const TensorInfo& inputInfo, + const TensorInfo& outputInfo, + const StridedSliceDescriptor& params, + const float* inputData, + float* outData); + +template void StridedSlice<uint8_t>(const TensorInfo& inputInfo, + const TensorInfo& outputInfo, + const StridedSliceDescriptor& params, + const uint8_t* inputData, + uint8_t* outData); + +} //namespace armnn |