//
// 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 == 4, "Please update CopyTensorContents");

    TensorShape srcStrides = srcTensor->GetStrides();
    const TensorShape& srcShape = srcTensor->GetShape();
    TensorShape dstStrides = dstTensor->GetStrides();
    const TensorShape& dstShape = dstTensor->GetShape();

    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);

    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);

    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);

    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);

    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);

    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));
    }

    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