#pragma once
#include "common_header.hpp"
#include "tensor_descriptor.hpp"
#include "tensor_descriptor_helper.hpp"
#include "cluster_descriptor.hpp"
#include "threadwise_tensor_slice_transfer_v6r1.hpp"

namespace ck {

// this version does following things to avoid scratch memory issue
// 1. Use StaticallyIndexedArray instead of C array for thread buffer
// 2. ThreadwiseTensorSliceTransfer_v3 does not keep reference to tensor descriptor
// 3. ThreadwiseTensorSliceTransfer_v3::Run() does not construct new tensor coordinate
template <typename ThreadGroup,
          typename ElementwiseOperation,
          InMemoryDataOperationEnum DstInMemOp,
          typename SliceLengths,
          typename ThreadClusterLengths,
          typename ThreadClusterArrangeOrder,
          typename SrcData,
          typename DstData,
          typename SrcDesc,
          typename DstDesc,
          typename DimAccessOrder,
          index_t VectorDim,
          index_t ScalarPerVector,
          bool ThreadTransferSrcResetCoordinateAfterRun,
          bool ThreadTransferDstResetCoordinateAfterRun>
struct ThreadGroupTensorSliceTransfer_v6r1
{
    static constexpr index_t nDim = remove_reference_t<SrcDesc>::GetNumOfDimension();

    static constexpr auto thread_slice_lengths = SliceLengths{} / ThreadClusterLengths{};

    using Index = MultiIndex<nDim>;

    __device__ constexpr ThreadGroupTensorSliceTransfer_v6r1(const SrcDesc& src_desc,
                                                             const Index& src_block_slice_origin,
                                                             const DstDesc& dst_desc,
                                                             const Index& dst_block_slice_origin,
                                                             const ElementwiseOperation& element_op)
        : threadwise_transfer_(src_desc,
                               make_zero_multi_index<nDim>(),
                               dst_desc,
                               make_zero_multi_index<nDim>(),
                               element_op)

    {
        static_assert(nDim == remove_cvref_t<SrcDesc>::GetNumOfDimension() &&
                          nDim == remove_cvref_t<DstDesc>::GetNumOfDimension() &&
                          nDim == ThreadClusterLengths::Size() &&
                          nDim == ThreadClusterArrangeOrder::Size() &&
                          nDim == DimAccessOrder::Size(),
                      "wrong! nDim not consistent");

        static_assert(
            is_same<SliceLengths, decltype(thread_slice_lengths * ThreadClusterLengths{})>{},
            "wrong! threads should be mapped to cover entire slicing window");

        static_assert(ThreadGroup::GetNumOfThread() >= thread_cluster_desc_.GetElementSize(),
                      "wrong! ThreadGroup::GetNumOfThread() too small");

        if(ThreadGroup::GetNumOfThread() == thread_cluster_desc_.GetElementSize() or
           ThreadGroup::GetThreadId() < thread_cluster_desc_.GetElementSize())
        {
            const auto thread_cluster_idx = thread_cluster_desc_.CalculateBottomIndex(
                make_multi_index(ThreadGroup::GetThreadId()));

            const auto thread_data_idx_begin = thread_cluster_idx * thread_slice_lengths;

            threadwise_transfer_.SetSrcSliceOrigin(src_desc,
                                                   src_block_slice_origin + thread_data_idx_begin);
            threadwise_transfer_.SetDstSliceOrigin(dst_desc,
                                                   dst_block_slice_origin + thread_data_idx_begin);
        }
    }

    template <typename SrcBuffer, typename DstBuffer>
    __device__ void Run(const SrcDesc& src_desc,
                        const SrcBuffer& src_buf,
                        const DstDesc& dst_desc,
                        DstBuffer& dst_buf)
    {
        if(ThreadGroup::GetNumOfThread() == thread_cluster_desc_.GetElementSize() or
           ThreadGroup::GetThreadId() < thread_cluster_desc_.GetElementSize())
        {
            threadwise_transfer_.Run(src_desc, src_buf, dst_desc, dst_buf);
        }
    }

    __device__ void MoveSrcSliceWindow(const SrcDesc& src_desc, const Index& step)
    {
        if(ThreadGroup::GetNumOfThread() == thread_cluster_desc_.GetElementSize() or
           ThreadGroup::GetThreadId() < thread_cluster_desc_.GetElementSize())
        {
            threadwise_transfer_.MoveSrcSliceWindow(src_desc, step);
        }
    }

    __device__ void MoveDstSliceWindow(const DstDesc& dst_desc, const Index& step)
    {
        if(ThreadGroup::GetNumOfThread() == thread_cluster_desc_.GetElementSize() or
           ThreadGroup::GetThreadId() < thread_cluster_desc_.GetElementSize())
        {
            threadwise_transfer_.MoveDstSliceWindow(dst_desc, step);
        }
    }

    private:
    static constexpr auto thread_cluster_desc_ =
        make_cluster_descriptor(ThreadClusterLengths{}, ThreadClusterArrangeOrder{});

    using ThreadwiseTransfer =
        ThreadwiseTensorSliceTransfer_v6r1<SrcData,
                                           DstData,
                                           SrcDesc,
                                           DstDesc,
                                           ElementwiseOperation,
                                           decltype(thread_slice_lengths),
                                           DimAccessOrder,
                                           VectorDim,
                                           ScalarPerVector,
                                           DstInMemOp,
                                           ThreadTransferSrcResetCoordinateAfterRun,
                                           ThreadTransferDstResetCoordinateAfterRun>;

    ThreadwiseTransfer threadwise_transfer_;
};

} // namespace ck
