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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "ITensorHandle.hpp"
#include "CpuTensorHandle.hpp"
#include <armnn/Tensor.hpp>
#include <Permute.hpp>
#include <Profiling.hpp>
#include <Half.hpp>
#include <boost/cast.hpp>
namespace armnn
{
namespace
{
template<typename ArrayType, typename Arg>
void AssignValues(unsigned int num, unsigned int& idx, const ArrayType& array, Arg& arg)
{
if (idx >= num)
{
return;
}
arg = array[(num - 1) - idx];
idx++;
}
template<typename T, typename ArrayType, typename ...Args>
void AssignValues(unsigned int num, unsigned int idx, const ArrayType& array, T& assignee, Args& ... args)
{
AssignValues(num, idx, array, assignee);
AssignValues(num, idx, array, args...);
}
} // anonymous namespace
template<typename CopyFunc>
void CopyTensorContentsGeneric(const ITensorHandle* srcTensor, ITensorHandle* dstTensor, CopyFunc copy)
{
static_assert(MaxNumOfTensorDimensions == 5, "Please update CopyTensorContents");
TensorShape srcStrides = srcTensor->GetStrides();
const TensorShape& srcShape = srcTensor->GetShape();
TensorShape dstStrides = dstTensor->GetStrides();
const TensorShape& dstShape = dstTensor->GetShape();
size_t srcDepth = 1;
size_t srcBatches = 1;
size_t srcChannels = 1;
size_t srcHeight = 1;
size_t srcWidth = 1;
AssignValues(srcShape.GetNumDimensions(),0, srcShape,
srcWidth,
srcHeight,
srcChannels,
srcBatches,
srcDepth);
size_t srcDepthStride = 0;
size_t srcBatchStride = 0;
size_t srcChannelStride = 0;
size_t srcHeightStride = 0;
size_t srcWidthStride = 0;
AssignValues(srcStrides.GetNumDimensions(),0, srcStrides,
srcWidthStride,
srcHeightStride,
srcChannelStride,
srcBatchStride,
srcDepthStride);
size_t dstDepth = 1;
size_t dstBatches = 1;
size_t dstChannels = 1;
size_t dstHeight = 1;
size_t dstWidth = 1;
AssignValues(dstShape.GetNumDimensions(),0, dstShape,
dstWidth,
dstHeight,
dstChannels,
dstBatches,
dstDepth);
size_t dstDepthStride = 0;
size_t dstBatchStride = 0;
size_t dstChannelStride = 0;
size_t dstHeightStride = 0;
size_t dstWidthStride = 0;
AssignValues(dstStrides.GetNumDimensions(),0, dstStrides,
dstWidthStride,
dstHeightStride,
dstChannelStride,
dstBatchStride,
dstDepthStride);
const unsigned char* srcData;
unsigned char* dstData;
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "Synchronize buffers");
srcData = static_cast<const uint8_t *>(srcTensor->Map());
dstData = static_cast<uint8_t *>(dstTensor->Map());
}
size_t copyLength = std::min(srcWidth*srcWidthStride, dstWidth*dstWidthStride);
size_t copyHeight = std::min(srcHeight, dstHeight);
size_t copyChannels = std::min(srcChannels, dstChannels);
size_t copyBatches = std::min(srcBatches, dstBatches);
size_t copyDepth = std::min(srcDepth, dstDepth);
for (unsigned int d=0; d < copyDepth; ++d)
{
auto srcPtrDepth = srcData;
auto dstPtrDepth = dstData;
for (unsigned int b=0; b < copyBatches; ++b)
{
auto srcPtrBatch = srcData;
auto dstPtrBatch = dstData;
for (unsigned int c=0; c< copyChannels; ++c)
{
auto srcPtrChannel = srcData;
auto dstPtrChannel = dstData;
for (unsigned int h=0; h < copyHeight; ++h)
{
copy(dstData, srcData, copyLength);
dstData += dstHeightStride;
srcData += srcHeightStride;
}
dstData += (static_cast<long>(dstChannelStride) - (dstData - dstPtrChannel));
srcData += (static_cast<long>(srcChannelStride) - (srcData - srcPtrChannel));
}
dstData += (static_cast<long>(dstBatchStride)-(dstData - dstPtrBatch));
srcData += (static_cast<long>(srcBatchStride)-(srcData - srcPtrBatch));
}
dstData += (static_cast<long>(dstDepthStride)-(dstData - dstPtrDepth));
srcData += (static_cast<long>(srcDepthStride)-(srcData - srcPtrDepth));
}
srcTensor->Unmap();
dstTensor->Unmap();
}
template <typename SrcTensorHandleType, typename DstTensorHandleType, typename DescriptorType>
void GatherTensorHandlePairs(const DescriptorType& descriptor,
std::vector<std::pair<SrcTensorHandleType*, DstTensorHandleType*>>& tensorHandlePairs)
{
const unsigned int numInputs = static_cast<unsigned int>(descriptor.m_Inputs.size());
tensorHandlePairs.reserve(numInputs);
for (unsigned int i = 0; i < numInputs; ++i)
{
SrcTensorHandleType* const srcTensorHandle = boost::polymorphic_downcast<SrcTensorHandleType*>(
descriptor.m_Inputs[i]);
DstTensorHandleType* const dstTensorHandle = boost::polymorphic_downcast<DstTensorHandleType*>(
descriptor.m_Outputs[i]);
tensorHandlePairs.emplace_back(srcTensorHandle, dstTensorHandle);
}
}
armnn::ConstTensor PermuteTensor(const ConstCpuTensorHandle* tensor,
const PermutationVector& permutationVector,
void* permuteBuffer);
void ReshapeWeightsForAcl(TensorInfo& weightInfo, DataLayout dataLayout);
TensorInfo ConvertWeightTensorInfoFromArmnnToAcl(const TensorInfo& weightInfo, DataLayout dataLayout);
armnn::ConstTensor ConvertWeightTensorFromArmnnToAcl(const ConstCpuTensorHandle* weightTensor,
DataLayout dataLayout,
void* permuteBuffer);
} //namespace armnn
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