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//
// Copyright © 2019 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "Slice.hpp"
#include <boost/assert.hpp>
#include <boost/core/ignore_unused.hpp>
#include <boost/numeric/conversion/cast.hpp>
namespace armnn
{
void Slice(const TensorInfo& inputInfo,
const SliceDescriptor& descriptor,
const void* inputData,
void* outputData,
unsigned int dataTypeSize)
{
const TensorShape& inputShape = inputInfo.GetShape();
const unsigned int numDims = inputShape.GetNumDimensions();
BOOST_ASSERT(descriptor.m_Begin.size() == numDims);
BOOST_ASSERT(descriptor.m_Size.size() == numDims);
constexpr unsigned int maxNumDims = 4;
BOOST_ASSERT(numDims <= maxNumDims);
std::vector<unsigned int> paddedInput(4);
std::vector<unsigned int> paddedBegin(4);
std::vector<unsigned int> paddedSize (4);
const unsigned int numPaddingDims = maxNumDims - numDims;
for (unsigned int i = 0u; i < maxNumDims; ++i)
{
if (i < numPaddingDims)
{
paddedInput[i] = 1u;
paddedBegin[i] = 0u;
paddedSize[i] = 1u;
}
else
{
const unsigned int j = i - numPaddingDims;
paddedInput[i] = inputShape[j];
paddedBegin[i] = descriptor.m_Begin[j];
paddedSize[i] = descriptor.m_Size[j];
}
}
unsigned int dim0 = paddedInput[0];
unsigned int dim1 = paddedInput[1];
unsigned int dim2 = paddedInput[2];
unsigned int dim3 = paddedInput[3];
unsigned int begin0 = paddedBegin[0];
unsigned int begin1 = paddedBegin[1];
unsigned int begin2 = paddedBegin[2];
unsigned int begin3 = paddedBegin[3];
unsigned int size0 = paddedSize[0];
unsigned int size1 = paddedSize[1];
unsigned int size2 = paddedSize[2];
unsigned int size3 = paddedSize[3];
BOOST_ASSERT(begin0 + size0 <= dim0);
BOOST_ASSERT(begin1 + size1 <= dim1);
BOOST_ASSERT(begin2 + size2 <= dim2);
BOOST_ASSERT(begin3 + size3 <= dim3);
const unsigned char* input = reinterpret_cast<const unsigned char*>(inputData);
unsigned char* output = reinterpret_cast<unsigned char*>(outputData);
boost::ignore_unused(dim0);
for (unsigned int idx0 = begin0; idx0 < begin0 + size0; ++idx0)
{
for (unsigned int idx1 = begin1; idx1 < begin1 + size1; ++idx1)
{
for (unsigned int idx2 = begin2; idx2 < begin2 + size2; ++idx2)
{
for (unsigned int idx3 = begin3; idx3 < begin3 + size3; ++idx3)
{
const unsigned int inputOffset =
(((idx0 * dim1 + idx1) * dim2 + idx2) * dim3 + idx3) * dataTypeSize;
::memcpy(output, input + inputOffset, dataTypeSize);
output += dataTypeSize;
}
}
}
}
}
} // namespace armnn