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//
// Copyright © 2020 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <armnn/Tensor.hpp>
#include <armnnUtils/Transpose.hpp>
#include "Half.hpp"
#include <cstring>
namespace
{
class TransposeLoop
{
public:
using size_type = unsigned int;
TransposeLoop(const armnn::TensorShape& srcShape, const armnn::PermutationVector& mappings)
: m_SrcShape(srcShape)
{
if (srcShape.GetNumDimensions() != mappings.GetSize())
{
std::stringstream msg;
msg << "Transpose: Number of shape dimensions (" << srcShape.GetNumDimensions() <<
") does not match the size of the mappings (" << mappings.GetSize() << ")";
throw armnn::InvalidArgumentException(msg.str());
}
const size_type numDims = srcShape.GetNumDimensions();
size_type srcStride = 1U;
size_type dstStride = 1U;
for (size_type i = numDims - 1U, k = 0U; k < numDims; ++k, --i)
{
m_SrcStrides[i] = srcStride;
m_DstStrides[mappings[i]] = dstStride;
srcStride *= srcShape[i];
dstStride *= srcShape[mappings[i]];
}
}
void Unroll(const void* srcData, void* dstData, size_t dataTypeSize)
{
if (srcData == nullptr)
{
throw armnn::Exception("Transpose: Source Data pointer is null");
}
if (dstData == nullptr)
{
throw armnn::Exception("Transpose: Destination Data pointer is null");
}
if (dataTypeSize == 0)
{
throw armnn::Exception("Transpose: dataTypeSize is zero");
}
const unsigned char* srcDataPtr = reinterpret_cast<const unsigned char*>(srcData);
unsigned char* dstDataPtr = reinterpret_cast<unsigned char*>(dstData);
const unsigned char* const srcEndPtr = srcDataPtr + m_SrcShape.GetNumElements() * dataTypeSize;
unsigned char* const dstEndPtr = dstDataPtr + m_SrcShape.GetNumElements() * dataTypeSize;
Unroll(0, srcDataPtr, dstDataPtr, srcEndPtr, dstEndPtr, dataTypeSize);
}
private:
void Unroll(size_type dimension,
const unsigned char* srcData, unsigned char* dstData,
const unsigned char* srcEnd, unsigned char* dstEnd,
size_t dataTypeSize)
{
if (srcData == nullptr)
{
throw armnn::Exception("Transpose: Source Data pointer is null");
}
if (dstData == nullptr)
{
throw armnn::Exception("Transpose: Destination Data pointer is null");
}
if (srcEnd == nullptr)
{
throw armnn::Exception("Transpose: Source End pointer is null");
}
if (dstEnd == nullptr)
{
throw armnn::Exception("Transpose: Destination End is zero");
}
if (dataTypeSize == 0)
{
throw armnn::Exception("Transpose: dataTypeSize is invalid");
}
if (dimension >= m_SrcShape.GetNumDimensions())
{
::memcpy(dstData, srcData, dataTypeSize);
}
else
{
for (size_type i = 0; i < m_SrcShape[dimension]; i++)
{
Unroll(dimension + 1, srcData, dstData, srcEnd, dstEnd, dataTypeSize);
srcData += m_SrcStrides[dimension] * dataTypeSize;
dstData += m_DstStrides[dimension] * dataTypeSize;
}
}
}
armnn::TensorShape m_SrcShape;
std::array<size_type, armnn::MaxNumOfTensorDimensions> m_SrcStrides;
std::array<size_type, armnn::MaxNumOfTensorDimensions> m_DstStrides;
};
} // namespace
namespace armnnUtils
{
armnn::TensorShape TransposeTensorShape(const armnn::TensorShape& srcShape, const armnn::PermutationVector& mappings)
{
if (srcShape.GetNumDimensions() != mappings.GetSize())
{
std::stringstream msg;
msg << "Transpose: Number of shape dimensions (" << srcShape.GetNumDimensions() <<
") does not match the size of the mappings (" << mappings.GetSize() << ")";
throw armnn::InvalidArgumentException(msg.str());
}
const unsigned int numDims = mappings.GetSize();
unsigned int outDims[armnn::MaxNumOfTensorDimensions];
for (unsigned int i = 0U; i < numDims; ++i)
{
outDims[i] = srcShape[mappings[i]];
}
armnn::TensorShape permutedShape(numDims, outDims);
return permutedShape;
}
armnn::TensorInfo TransposeTensorShape(const armnn::TensorInfo& info, const armnn::PermutationVector& mappings)
{
armnn::TensorInfo outInfo(info);
outInfo.SetShape(TransposeTensorShape(info.GetShape(), mappings));
return outInfo;
}
void Transpose(const armnn::TensorShape& srcShape, const armnn::PermutationVector& mappings,
const void* src, void* dst, size_t dataTypeSize)
{
TransposeLoop(srcShape, mappings).Unroll(src, dst, dataTypeSize);
}
} // namespace armnnUtils
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