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Diffstat (limited to 'src/backends/reference/workloads/Stack.cpp')
-rw-r--r-- | src/backends/reference/workloads/Stack.cpp | 115 |
1 files changed, 115 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/Stack.cpp b/src/backends/reference/workloads/Stack.cpp new file mode 100644 index 0000000000..386c8992eb --- /dev/null +++ b/src/backends/reference/workloads/Stack.cpp @@ -0,0 +1,115 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "Stack.hpp" +#include "RefWorkloadUtils.hpp" + +namespace armnn +{ + +void Stack(const StackQueueDescriptor& data, + std::vector<std::unique_ptr<Decoder<float>>>& inputs, + Encoder<float>& output) +{ + const TensorInfo& outputInfo = GetTensorInfo(data.m_Outputs[0]); + const TensorInfo& inputInfo = GetTensorInfo(data.m_Inputs[0]); + + unsigned int outputNumDims = outputInfo.GetNumDimensions(); + unsigned int inputNumDims = inputInfo.GetNumDimensions(); + + const armnn::TensorShape& outputDims = outputInfo.GetShape(); + const armnn::TensorShape& inputDims = inputInfo.GetShape(); + + unsigned int axis = data.m_Parameters.m_Axis; + + // Initialise output data + unsigned int numOutputElements = 1; + for (unsigned int i=0; i<outputNumDims; ++i) + { + numOutputElements *= outputDims[i]; + } + + const unsigned int iNumTensors = static_cast<unsigned int>(data.m_Inputs.size()); + const unsigned int iBatchSize = inputDims[0]; + const unsigned int iChannels = (inputNumDims > 1) ? inputDims[1] : 1; + const unsigned int iHeight = (inputNumDims > 2) ? inputDims[2] : 1; + const unsigned int iWidth = (inputNumDims > 3) ? inputDims[3] : 1; + + const unsigned int oBatchSize = outputDims[1]; + const unsigned int oChannels = (outputNumDims > 2) ? outputDims[2] : 1; + const unsigned int oHeight = (outputNumDims > 3) ? outputDims[3] : 1; + const unsigned int oWidth = (outputNumDims > 4) ? outputDims[4] : 1; + + // Array to store the input coordinates + // iCoordinates[0] = i, iCoordinates[1] = bi, iCoordinates[2] = ci + // iCoordinates[3] = hi, iCoordinates[4] = wi, iCoordinates[5] = 0 + // iCoordinates[5] will be always zero and used for not incrementing + // the output when the input has less than 4 dimensions + std::array<unsigned int, 6> iCoordinates{ 0 }; + + // Array of pointers used to map the output coordinates to the input ones, in accordance with the axis + // This array is initialized with &iCoordinates[5] since this will be always zero + std::array<unsigned int *, 5> oCoordinates = { &iCoordinates[5], + &iCoordinates[5], + &iCoordinates[5], + &iCoordinates[5], + &iCoordinates[5] }; + + // Set the axis coordinate + oCoordinates[axis] = &iCoordinates[0]; + + // Map the output coordinates, accounting for the axis + unsigned int dim_shift = 0; + for(unsigned int dim = 0; dim < inputNumDims; ++dim) + { + if(dim == axis) + { + dim_shift++; + } + oCoordinates[dim + dim_shift] = &iCoordinates[dim + 1]; + } + + // Alias for the input coordinates + unsigned int &i = iCoordinates[0]; + unsigned int &bi = iCoordinates[1]; + unsigned int &ci = iCoordinates[2]; + unsigned int &hi = iCoordinates[3]; + unsigned int &wi = iCoordinates[4]; + + // Alias for the output coordinates + unsigned int &o = *(oCoordinates[0]); + unsigned int &bo = *(oCoordinates[1]); + unsigned int &co = *(oCoordinates[2]); + unsigned int &ho = *(oCoordinates[3]); + unsigned int &wo = *(oCoordinates[4]); + + // Stack tensors + for(; i < iNumTensors; ++(i)) + { + for(bi = 0; bi < iBatchSize; ++(bi)) + { + for(ci = 0; ci < iChannels; ++(ci)) + { + for(hi = 0; hi < iHeight; ++(hi)) + { + for(wi = 0; wi < iWidth; ++(wi)) + { + output[o * oWidth * oHeight * oChannels * oBatchSize + + bo * oWidth * oHeight * oChannels + + co * oWidth * oHeight + + ho * oWidth + + wo]; + + output.Set(inputs[i]->Get()); + + ++(*(inputs[i])); + } + } + } + } + } +} + +} // namespace armnn |