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//
// Copyright © 2017, 2024 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "StridedSlice.hpp"
#include <armnn/utility/NumericCast.hpp>
#include <cstring>
namespace armnn
{
namespace
{
void PadParams(StridedSliceDescriptor& p, unsigned int dimCount)
{
ARMNN_THROW_INVALIDARG_MSG_IF_FALSE(dimCount <= 4, "Expected input with at most 4 dimensions");
const unsigned int beginIndicesCount =
armnn::numeric_cast<unsigned int>(p.m_Begin.size());
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;
}
std::vector<unsigned int> newSizes(newNumDimensions, 0);
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.data());
}
} // Anonymous namespace
void StridedSlice(const TensorInfo& inputInfo,
const StridedSliceDescriptor& params,
const void* inputData,
void* outputData,
unsigned int dataTypeSize)
{
if (inputData == nullptr)
{
throw armnn::InvalidArgumentException("Slice: Null inputData pointer");
}
if (outputData == nullptr)
{
throw armnn::InvalidArgumentException("Slice: Null outputData pointer");
}
const unsigned char* input = reinterpret_cast<const unsigned char*>(inputData);
unsigned char* output = reinterpret_cast<unsigned char*>(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);
const int step = armnn::numeric_cast<int>(dataTypeSize);
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 = armnn::numeric_cast<int>(inputShape[1]);
int dim2 = armnn::numeric_cast<int>(inputShape[2]);
int dim3 = armnn::numeric_cast<int>(inputShape[3]);
int inputOffset = (((in0 * dim1 + in1) * dim2 + in2) * dim3 + in3) * step;
::memcpy(output, input + inputOffset, dataTypeSize);
output += step;
}
}
}
}
}
} // namespace armnn
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