diff options
Diffstat (limited to 'src/backends/reference/workloads/Pad.cpp')
| -rw-r--r-- | src/backends/reference/workloads/Pad.cpp | 44 |
1 files changed, 23 insertions, 21 deletions
diff --git a/src/backends/reference/workloads/Pad.cpp b/src/backends/reference/workloads/Pad.cpp index 5c859317dd..a50fa23c6c 100644 --- a/src/backends/reference/workloads/Pad.cpp +++ b/src/backends/reference/workloads/Pad.cpp @@ -5,24 +5,22 @@ #include "Pad.hpp" #include "backends/WorkloadData.hpp" - #include <boost/numeric/conversion/cast.hpp> #include "TensorBufferArrayView.hpp" - #include <cmath> #include <cstddef> #include <functional> #include <limits> #include <cassert> - namespace armnn { +template <typename T> void Pad(const TensorInfo& inputInfo, const TensorInfo& outputInfo, std::vector<std::pair<unsigned int, unsigned int>> m_PadList, - const float* inputData, - float* outData) + const T* inputData, + T* outData) { unsigned int numOutputElements = outputInfo.GetNumElements(); @@ -30,10 +28,12 @@ void Pad(const TensorInfo& inputInfo, TensorShape inputShape = inputInfo.GetShape(); unsigned int numInputDimensions = inputShape.GetNumDimensions(); + #ifndef NDEBUG - unsigned int numOutputDimensions = outputShape.GetNumDimensions(); + unsigned int numOutputDimensions = outputShape.GetNumDimensions(); assert(numInputDimensions == numOutputDimensions); + #endif unsigned int inputBatches = 0; @@ -51,29 +51,27 @@ void Pad(const TensorInfo& inputInfo, } switch(numInputDimensions) { + case 1: inputWidth = inputShape[0]; for (unsigned int w = 0; w < inputWidth ; w++) { - outData[w+std::get<0>(m_PadList[0])] = inputData[w]; - } break; + case 2 : inputHeight = inputShape[0]; inputWidth = inputShape[1]; - outputHeight = outputShape[0]; outputWidth = outputShape[1]; for (unsigned int h = 0; h < inputHeight; h++) { - for (unsigned int w = 0; w < inputWidth ; w++) { outData[(h+std::get<0>(m_PadList[0]))*outputWidth @@ -82,25 +80,22 @@ void Pad(const TensorInfo& inputInfo, } break; + case 3 : inputChannels = inputShape[0]; inputHeight = inputShape[1]; inputWidth = inputShape[2]; - outputChannels = outputShape[0]; outputHeight = outputShape[1]; outputWidth = outputShape[2]; for (unsigned int c = 0; c < inputChannels; c++) { - for (unsigned int h = 0; h < inputHeight; h++) { - for (unsigned int w = 0; w < inputWidth ; w++) { - outData[(c+std::get<0>(m_PadList[0]))*outputHeight*outputWidth + (h+std::get<0>(m_PadList[1]))*outputWidth + (w+std::get<0>(m_PadList[2]))] = inputData[c * inputHeight * inputWidth @@ -111,13 +106,13 @@ void Pad(const TensorInfo& inputInfo, } break; + case 4 : inputBatches = inputShape[0]; inputChannels = inputShape[1]; inputHeight = inputShape[2]; inputWidth = inputShape[3]; - outputChannels = outputShape[1]; outputHeight = outputShape[2]; outputWidth = outputShape[3]; @@ -126,13 +121,10 @@ void Pad(const TensorInfo& inputInfo, { for (unsigned int c = 0; c < inputChannels; c++) { - for (unsigned int h = 0; h < inputHeight; h++) { - for (unsigned int w = 0; w < inputWidth ; w++) { - outData[(b+std::get<0>(m_PadList[0])) * outputChannels * outputHeight * outputWidth + (c+std::get<0>(m_PadList[1])) * outputHeight * outputWidth + (h+std::get<0>(m_PadList[2])) * outputWidth @@ -141,7 +133,6 @@ void Pad(const TensorInfo& inputInfo, + c * inputHeight * inputWidth + h * inputWidth + w]; - } } } @@ -150,9 +141,20 @@ void Pad(const TensorInfo& inputInfo, break; default : + break; } - } -} //namespace armnn +template void Pad<float>(const TensorInfo& inputInfo, + const TensorInfo& outputInfo, + std::vector<std::pair<unsigned int, unsigned int>> m_PadList, + const float* inputData, + float* outData); +template void Pad<uint8_t>(const TensorInfo& inputInfo, + const TensorInfo& outputInfo, + std::vector<std::pair<unsigned int, unsigned int>> m_PadList, + const uint8_t* inputData, + uint8_t* outData); + +} //namespace armnn
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