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 // SPDX-License-Identifier: MIT
 // Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
  
 #pragma once
  
 #include "ck/utility/common_header.hpp"
 #include "ck/tensor_description/multi_index_transform_helper.hpp"
 #include "ck/tensor_description/tensor_space_filling_curve.hpp"
 #include "ck/tensor_description/tensor_descriptor.hpp"
 #include "ck/tensor_description/tensor_descriptor_helper.hpp"
 #include "ck/tensor_operation/gpu/grid/block_to_ctile_map.hpp"
 #include "ck/tensor_operation/gpu/grid/gridwise_gemm_pipeline_selector.hpp"
 #include "ck/tensor_operation/gpu/block/blockwise_gemm_xdlops.hpp"
 #include "ck/tensor_operation/gpu/block/thread_group_tensor_slice_transfer_v4r1.hpp"
 #include "ck/tensor_operation/gpu/block/thread_group_tensor_slice_transfer_v6r1.hpp"
 #include "ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer.hpp"
 #include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
  
 namespace ck {
  
 template <typename GridwiseGemm,
           typename FloatAB,
           typename FloatC,
           typename AGridDesc_AK0_M_AK1,
           typename BGridDesc_BK0_N_BK1,
           typename CGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl,
           typename AElementwiseOperation,
           typename BElementwiseOperation,
           typename CElementwiseOperation,
           typename Block2CTileMap,
           bool HasMainK0BlockLoop>
 __global__ void
 #if CK_USE_LAUNCH_BOUNDS
     __launch_bounds__(CK_MAX_THREAD_PER_BLOCK, CK_MIN_BLOCK_PER_CU)
 #endif
         kernel_gemm_xdlops_v3r1(
             const FloatAB* __restrict__ p_a_grid,
             const FloatAB* __restrict__ p_b_grid,
             FloatC* __restrict__ p_c_grid,
             const AGridDesc_AK0_M_AK1 a_grid_desc_ak0_m_ak1,
             const BGridDesc_BK0_N_BK1 b_grid_desc_bk0_n_bk1,
             const CGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl
                 c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl,
             const AElementwiseOperation a_element_op,
             const BElementwiseOperation b_element_op,
             const CElementwiseOperation c_element_op,
             const Block2CTileMap block_2_ctile_map)
 {
 #if(!defined(__HIP_DEVICE_COMPILE__) || defined(__gfx908__) || defined(__gfx90a__) || \
     defined(__gfx94__))
     __shared__ char p_shared[GridwiseGemm::GetSharedMemoryNumberOfByte()];
  
     GridwiseGemm::template Run<HasMainK0BlockLoop>(
         p_a_grid,
         p_b_grid,
         p_c_grid,
         p_shared,
         a_grid_desc_ak0_m_ak1,
         b_grid_desc_bk0_n_bk1,
         c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl,
         a_element_op,
         b_element_op,
         c_element_op,
         block_2_ctile_map);
 #else
     ignore = p_a_grid;
     ignore = p_b_grid;
     ignore = p_c_grid;
     ignore = a_grid_desc_ak0_m_ak1;
     ignore = b_grid_desc_bk0_n_bk1;
     ignore = c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl;
     ignore = a_element_op;
     ignore = b_element_op;
     ignore = c_element_op;
     ignore = block_2_ctile_map;
 #endif // end of if (defined(__gfx908__) || defined(__gfx90a__))
 }
  
 template <
     index_t BlockSize,
     typename FloatAB,
     typename FloatAcc,
     typename FloatCShuffle,
     typename FloatC,
     InMemoryDataOperationEnum CGlobalMemoryDataOperation,
     typename AGridDesc_AK0_M_AK1,
     typename BGridDesc_BK0_N_BK1,
     typename CGridDesc_M_N,
     typename AElementwiseOperation,
     typename BElementwiseOperation,
     typename CElementwiseOperation,
     index_t MPerBlock,
     index_t NPerBlock,
     index_t KPerBlock,
     index_t AK1Value,
     index_t BK1Value,
     index_t MPerXdl,
     index_t NPerXdl,
     index_t MXdlPerWave,
     index_t NXdlPerWave,
     typename ABlockTransferThreadClusterLengths_AK0_M_AK1,
     typename ABlockTransferThreadClusterArrangeOrder,
     typename ABlockTransferSrcAccessOrder,
     index_t ABlockTransferSrcVectorDim,
     index_t ABlockTransferSrcScalarPerVector,
     index_t ABlockTransferDstScalarPerVector_K1,
     bool AThreadTransferSrcResetCoordinateAfterRun,
     bool ABlockLdsExtraM,
     typename BBlockTransferThreadClusterLengths_BK0_N_BK1,
     typename BBlockTransferThreadClusterArrangeOrder,
     typename BBlockTransferSrcAccessOrder,
     index_t BBlockTransferSrcVectorDim,
     index_t BBlockTransferSrcScalarPerVector,
     index_t BBlockTransferDstScalarPerVector_K1,
     bool BThreadTransferSrcResetCoordinateAfterRun,
     bool BBlockLdsExtraN,
     index_t CShuffleMXdlPerWavePerShuffle,
     index_t CShuffleNXdlPerWavePerShuffle,
     typename CBlockTransferClusterLengths_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl,
     index_t CBlockTransferScalarPerVector_NWaveNPerXdl,
     index_t NumGemmKPrefetchStage = 1,
     PipelineVersion PipelineVer   = PipelineVersion::v1>
 struct GridwiseGemm_k0mk1_k0nk1_mn_xdlops_v3r1
 {
     static constexpr auto I0 = Number<0>{};
     static constexpr auto I1 = Number<1>{};
     static constexpr auto I2 = Number<2>{};
     static constexpr auto I3 = Number<3>{};
     static constexpr auto I4 = Number<4>{};
     static constexpr auto I5 = Number<5>{};
     static constexpr auto I6 = Number<6>{};
     static constexpr auto I7 = Number<7>{};
  
     // K1 should be Number<...>
     static constexpr auto AK0 = Number<KPerBlock / AK1Value>{};
     static constexpr auto BK0 = Number<KPerBlock / BK1Value>{};
     static constexpr auto AK1 = Number<AK1Value>{};
     static constexpr auto BK1 = Number<BK1Value>{};
  
     using ThisThreadBlock = ThisThreadBlock<BlockSize>;
  
     using GridwiseGemmPipe = remove_cvref_t<
         decltype(GridwiseGemmPipeline_Selector<PipelineVer, NumGemmKPrefetchStage>())>;
  
     __host__ __device__ static constexpr auto GetABlockDescriptor_AK0PerBlock_MPerBlock_AK1()
     {
         constexpr auto max_lds_align = AK1;
  
         // A matrix in LDS memory, dst of blockwise copy
         constexpr auto a_block_desc_ak0_m_ak1 = [&]() {
             if constexpr(ABlockLdsExtraM)
             {
                 return make_naive_tensor_descriptor(
                     make_tuple(AK0, Number<MPerBlock>{}, AK1),
                     make_tuple(Number<MPerBlock + 1>{} * AK1, AK1, I1));
             }
             else
             {
                 return make_naive_tensor_descriptor_aligned(
                     make_tuple(AK0, Number<MPerBlock>{}, AK1), max_lds_align);
             }
         }();
  
         return a_block_desc_ak0_m_ak1;
     }
  
     __host__ __device__ static constexpr auto GetBBlockDescriptor_BK0PerBlock_NPerBlock_BK1()
     {
         constexpr auto max_lds_align = BK1;
  
         // B matrix in LDS memory, dst of blockwise copy
         constexpr auto b_block_desc_bk0_n_bk1 = [&]() {
             if constexpr(BBlockLdsExtraN)
             {
                 return make_naive_tensor_descriptor(
                     make_tuple(BK0, Number<NPerBlock>{}, BK1),
                     make_tuple(Number<NPerBlock + 1>{} * BK1, BK1, I1));
             }
             else
             {
                 return make_naive_tensor_descriptor_aligned(
                     make_tuple(BK0, Number<NPerBlock>{}, BK1), max_lds_align);
             }
         }();
  
         return b_block_desc_bk0_n_bk1;
     }
  
     __host__ __device__ static constexpr auto
     GetCBlockDescriptor_MBlock_NXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl()
     {
         constexpr index_t MWave = MPerBlock / (MXdlPerWave * MPerXdl);
         constexpr index_t NWave = NPerBlock / (NXdlPerWave * NPerXdl);
  
         constexpr auto
             c_block_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl =
                 make_naive_tensor_descriptor_packed(
                     make_tuple(I1,
                                Number<CShuffleMXdlPerWavePerShuffle>{},
                                Number<MWave * MPerXdl>{},
                                I1,
                                Number<CShuffleNXdlPerWavePerShuffle>{},
                                Number<NWave * NPerXdl>{}));
  
         return c_block_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl;
     }
  
     __host__ __device__ static constexpr index_t GetSharedMemoryNumberOfByte()
     {
         // LDS allocation for A and B: be careful of alignment
         constexpr auto a_block_desc_ak0_m_ak1 = GetABlockDescriptor_AK0PerBlock_MPerBlock_AK1();
  
         constexpr auto b_block_desc_bk0_n_bk1 = GetBBlockDescriptor_BK0PerBlock_NPerBlock_BK1();
  
         constexpr auto a_block_space_size_aligned =
             math::integer_least_multiple(a_block_desc_ak0_m_ak1.GetElementSpaceSize(), AK1);
  
         constexpr auto b_block_space_size_aligned =
             math::integer_least_multiple(b_block_desc_bk0_n_bk1.GetElementSpaceSize(), BK1);
  
         // LDS allocation for C shuffle in LDS
         constexpr auto c_block_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl =
             GetCBlockDescriptor_MBlock_NXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl();
  
         constexpr auto c_block_size =
             c_block_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl
                 .GetElementSpaceSize();
  
         return math::max((a_block_space_size_aligned + b_block_space_size_aligned) *
                              sizeof(FloatAB),
                          c_block_size * sizeof(FloatCShuffle));
     }
  
     // block_id to matrix tile idx (m0, n0) mapping are controlled by {M01, N01}
     template <typename Block2CTileMap>
     __host__ __device__ static constexpr bool
     CheckValidity(const AGridDesc_AK0_M_AK1& a_grid_desc_ak0_m_ak1,
                   const BGridDesc_BK0_N_BK1& b_grid_desc_bk0_n_bk1,
                   const CGridDesc_M_N& c_grid_desc_m_n,
                   const Block2CTileMap& block_2_ctile_map)
     {
         // static_assert(is_known_at_compile_time<remove_cv_t<decltype(AK1)>>::value &&
         //               is_known_at_compile_time<remove_cv_t<decltype(BK1)>>::value,
         //               "wrong! K1 need to be known at compile-time");
  
         static_assert((MPerBlock % (MPerXdl * MXdlPerWave) == 0) &&
                           (NPerBlock % (NXdlPerWave * NPerXdl)) == 0,
                       "Invalid tuning param!");
  
         const auto M = a_grid_desc_ak0_m_ak1.GetLength(I1);
         const auto N = b_grid_desc_bk0_n_bk1.GetLength(I1);
         const auto K = a_grid_desc_ak0_m_ak1.GetLength(I0) * a_grid_desc_ak0_m_ak1.GetLength(I2);
  
         if(!(M == c_grid_desc_m_n.GetLength(I0) && N == c_grid_desc_m_n.GetLength(I1)))
             return false;
  
         if(!(M % MPerBlock == 0 && N % NPerBlock == 0 && K % KPerBlock == 0))
             return false;
  
         // check gridwise gemm pipeline
         const auto num_k_loop = K / KPerBlock;
  
         if(!GridwiseGemmPipe::IsSupported(num_k_loop))
         {
             return false;
         }
  
         if(!block_2_ctile_map.CheckValidity(c_grid_desc_m_n))
         {
             return false;
         }
  
         // TODO: also check validity of all components (blockwise-copy, threadwise-copy, etc)
         return true;
     }
  
     __host__ __device__ static constexpr bool CalculateHasMainKBlockLoop(index_t K)
     {
         const index_t num_loop = K / KPerBlock;
  
         return GridwiseGemmPipe::CalculateHasMainLoop(num_loop);
     }
  
     __host__ __device__ static constexpr auto
     MakeCGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl(
         const CGridDesc_M_N& c_grid_desc_m_n)
     {
         const auto M = c_grid_desc_m_n.GetLength(I0);
         const auto N = c_grid_desc_m_n.GetLength(I1);
  
         const auto MBlock = M / MPerBlock;
         const auto NBlock = N / NPerBlock;
  
         constexpr index_t MWave = MPerBlock / (MXdlPerWave * MPerXdl);
         constexpr index_t NWave = NPerBlock / (NXdlPerWave * NPerXdl);
  
         const auto c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl =
             transform_tensor_descriptor(
                 c_grid_desc_m_n,
                 make_tuple(make_unmerge_transform(make_tuple(
                                MBlock, Number<MXdlPerWave>{}, Number<MWave * MPerXdl>{})),
                            make_unmerge_transform(make_tuple(
                                NBlock, Number<NXdlPerWave>{}, Number<NWave * NPerXdl>{}))),
                 make_tuple(Sequence<0>{}, Sequence<1>{}),
                 make_tuple(Sequence<0, 1, 2>{}, Sequence<3, 4, 5>{}));
  
         return c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl;
     }
  
     // return block_id to C matrix tile idx (m0, n0) mapping
     __host__ __device__ static constexpr auto MakeDefaultBlock2CTileMap(
         const CGridDesc_M_N& c_grid_desc_m_n, index_t /* M01 */, index_t /* N01 */)
     {
         return BlockToCTileMap_M00_N0_M01Adapt<MPerBlock, NPerBlock, CGridDesc_M_N>(
             c_grid_desc_m_n);
     }
     using CGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl =
         remove_cvref_t<
             decltype(MakeCGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl(
                 CGridDesc_M_N{}))>;
  
     using DefaultBlock2CTileMap =
         remove_cvref_t<decltype(MakeDefaultBlock2CTileMap(CGridDesc_M_N{}, 1, 1))>;
  
     template <bool HasMainK0BlockLoop, typename Block2CTileMap>
     __device__ static void
     Run(const FloatAB* __restrict__ p_a_grid,
         const FloatAB* __restrict__ p_b_grid,
         FloatC* __restrict__ p_c_grid,
         void* __restrict__ p_shared,
         const AGridDesc_AK0_M_AK1& a_grid_desc_ak0_m_ak1,
         const BGridDesc_BK0_N_BK1& b_grid_desc_bk0_n_bk1,
         const CGridDescriptor_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl&
             c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl,
         const AElementwiseOperation& a_element_op,
         const BElementwiseOperation& b_element_op,
         const CElementwiseOperation& c_element_op,
         const Block2CTileMap& block_2_ctile_map)
     {
         const auto a_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
             p_a_grid, a_grid_desc_ak0_m_ak1.GetElementSpaceSize());
         const auto b_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
             p_b_grid, b_grid_desc_bk0_n_bk1.GetElementSpaceSize());
         auto c_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
             p_c_grid,
             c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl
                 .GetElementSpaceSize());
  
         // divide block work by [M, N]
         const auto block_work_idx =
             block_2_ctile_map.CalculateBottomIndex(make_multi_index(get_block_1d_id()));
  
         if(!block_2_ctile_map.ValidCTileIndex(
                block_work_idx,
                make_tuple(
                    c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl
                        .GetLength(I0),
                    c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl
                        .GetLength(I3))))
         {
             return;
         }
  
         // HACK: this force m/n_block_data_idx_on_grid into SGPR
         const index_t m_block_data_idx_on_grid =
             __builtin_amdgcn_readfirstlane(block_work_idx[I0] * MPerBlock);
  
         const index_t n_block_data_idx_on_grid =
             __builtin_amdgcn_readfirstlane(block_work_idx[I1] * NPerBlock);
  
         // lds max alignment
         constexpr auto max_lds_align = math::lcm(AK1, BK1);
  
         // A matrix in LDS memory, dst of blockwise copy
         constexpr auto a_block_desc_ak0_m_ak1 = GetABlockDescriptor_AK0PerBlock_MPerBlock_AK1();
  
         // B matrix in LDS memory, dst of blockwise copy
         constexpr auto b_block_desc_bk0_n_bk1 = GetBBlockDescriptor_BK0PerBlock_NPerBlock_BK1();
  
         // A matrix blockwise copy
         auto a_blockwise_copy =
             ThreadGroupTensorSliceTransfer_v4r1<ThisThreadBlock,
                                                 AElementwiseOperation,
                                                 ck::tensor_operation::element_wise::PassThrough,
                                                 InMemoryDataOperationEnum::Set,
                                                 Sequence<AK0, MPerBlock, AK1>,
                                                 ABlockTransferThreadClusterLengths_AK0_M_AK1,
                                                 ABlockTransferThreadClusterArrangeOrder,
                                                 FloatAB,
                                                 FloatAB,
                                                 decltype(a_grid_desc_ak0_m_ak1),
                                                 decltype(a_block_desc_ak0_m_ak1),
                                                 ABlockTransferSrcAccessOrder,
                                                 Sequence<1, 0, 2>,
                                                 ABlockTransferSrcVectorDim,
                                                 2,
                                                 ABlockTransferSrcScalarPerVector,
                                                 ABlockTransferDstScalarPerVector_K1,
                                                 1,
                                                 1,
                                                 AThreadTransferSrcResetCoordinateAfterRun,
                                                 true,
                                                 NumGemmKPrefetchStage>(
                 a_grid_desc_ak0_m_ak1,
                 make_multi_index(0, m_block_data_idx_on_grid, 0),
                 a_element_op,
                 a_block_desc_ak0_m_ak1,
                 make_multi_index(0, 0, 0),
                 ck::tensor_operation::element_wise::PassThrough{});
  
         // B matrix blockwise copy
         auto b_blockwise_copy =
             ThreadGroupTensorSliceTransfer_v4r1<ThisThreadBlock,
                                                 BElementwiseOperation,
                                                 ck::tensor_operation::element_wise::PassThrough,
                                                 InMemoryDataOperationEnum::Set,
                                                 Sequence<BK0, NPerBlock, BK1>,
                                                 BBlockTransferThreadClusterLengths_BK0_N_BK1,
                                                 BBlockTransferThreadClusterArrangeOrder,
                                                 FloatAB,
                                                 FloatAB,
                                                 decltype(b_grid_desc_bk0_n_bk1),
                                                 decltype(b_block_desc_bk0_n_bk1),
                                                 BBlockTransferSrcAccessOrder,
                                                 Sequence<1, 0, 2>,
                                                 BBlockTransferSrcVectorDim,
                                                 2,
                                                 BBlockTransferSrcScalarPerVector,
                                                 BBlockTransferDstScalarPerVector_K1,
                                                 1,
                                                 1,
                                                 BThreadTransferSrcResetCoordinateAfterRun,
                                                 true,
                                                 NumGemmKPrefetchStage>(
                 b_grid_desc_bk0_n_bk1,
                 make_multi_index(0, n_block_data_idx_on_grid, 0),
                 b_element_op,
                 b_block_desc_bk0_n_bk1,
                 make_multi_index(0, 0, 0),
                 ck::tensor_operation::element_wise::PassThrough{});
  
         // GEMM definition
         //   c_mtx += transpose(a_mtx) * b_mtx
         //     a_mtx[K0PerBlock, MPerBlock] is in LDS
         //     b_mtx[K0PerBlock, NPerBlock] is in LDS
         //     c_mtx[MPerBlock, NPerBlock] is distributed among threads, and saved in
         //       register
         // sanity check
         constexpr index_t k_pack = math::max(
             math::lcm(AK1, BK1), MfmaSelector<FloatAB, MPerXdl, NPerXdl>::selected_mfma.k_per_blk);
  
         auto blockwise_gemm =
             BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_v1<BlockSize,
                                                                 FloatAB,
                                                                 FloatAB,
                                                                 FloatAcc,
                                                                 decltype(a_block_desc_ak0_m_ak1),
                                                                 decltype(b_block_desc_bk0_n_bk1),
                                                                 MPerXdl,
                                                                 NPerXdl,
                                                                 MXdlPerWave,
                                                                 NXdlPerWave,
                                                                 k_pack>{};
  
         auto c_thread_buf = blockwise_gemm.GetCThreadBuffer();
  
         // LDS allocation for A and B: be careful of alignment
         constexpr auto a_block_space_size_aligned = math::integer_least_multiple(
             a_block_desc_ak0_m_ak1.GetElementSpaceSize(), max_lds_align);
  
         auto a_block_buf = make_dynamic_buffer<AddressSpaceEnum::Lds>(
             static_cast<FloatAB*>(p_shared), a_block_desc_ak0_m_ak1.GetElementSpaceSize());
  
         auto b_block_buf = make_dynamic_buffer<AddressSpaceEnum::Lds>(
             static_cast<FloatAB*>(p_shared) + a_block_space_size_aligned,
             b_block_desc_bk0_n_bk1.GetElementSpaceSize());
  
         constexpr auto a_block_slice_copy_step = make_multi_index(KPerBlock / AK1, 0, 0);
         constexpr auto b_block_slice_copy_step = make_multi_index(KPerBlock / BK1, 0, 0);
  
         // gridwise GEMM pipeline
         const index_t num_k_block_main_loop = __builtin_amdgcn_readfirstlane(
             (a_grid_desc_ak0_m_ak1.GetLength(I0) * a_grid_desc_ak0_m_ak1.GetLength(I2)) /
             KPerBlock);
  
         GridwiseGemmPipe::template Run<HasMainK0BlockLoop>(a_grid_desc_ak0_m_ak1,
                                                            a_block_desc_ak0_m_ak1,
                                                            a_blockwise_copy,
                                                            a_grid_buf,
                                                            a_block_buf,
                                                            a_block_slice_copy_step,
                                                            b_grid_desc_bk0_n_bk1,
                                                            b_block_desc_bk0_n_bk1,
                                                            b_blockwise_copy,
                                                            b_grid_buf,
                                                            b_block_buf,
                                                            b_block_slice_copy_step,
                                                            blockwise_gemm,
                                                            c_thread_buf,
                                                            num_k_block_main_loop);
  
         // shuffle C and write out
         {
             static_assert(MXdlPerWave % CShuffleMXdlPerWavePerShuffle == 0 &&
                               NXdlPerWave % CShuffleNXdlPerWavePerShuffle == 0,
                           "wrong!");
  
             constexpr index_t MWave = MPerBlock / (MXdlPerWave * MPerXdl);
             constexpr index_t NWave = NPerBlock / (NXdlPerWave * NPerXdl);
  
             // TODO: hacky, fix it!
             constexpr auto c_thread_desc_m0_n0_m1_n1_m2_m3_m4_n2 =
                 blockwise_gemm.GetCThreadDescriptor_M0_N0_M1_N1_M2_M3_M4_N2();
  
             // TODO: hacky, fix it!
             // c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp is only used to get lengths
             constexpr auto c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp =
                 blockwise_gemm.GetCBlockDescriptor_M0_N0_M1_N1_M2_M3_M4_N2();
  
             constexpr auto M0 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp.GetLength(I0);
             constexpr auto N0 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp.GetLength(I1);
             constexpr auto M1 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp.GetLength(I2);
             constexpr auto N1 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp.GetLength(I3);
             constexpr auto M2 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp.GetLength(I4);
             constexpr auto M3 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp.GetLength(I5);
             constexpr auto M4 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp.GetLength(I6);
             constexpr auto N2 = c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2_tmp.GetLength(I7);
  
             constexpr auto c_block_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl =
                 GetCBlockDescriptor_MBlock_NXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl();
  
             auto c_shuffle_block_buf = make_dynamic_buffer<AddressSpaceEnum::Lds>(
                 static_cast<FloatCShuffle*>(p_shared),
                 c_block_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl
                     .GetElementSpaceSize());
  
             constexpr auto c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2 = transform_tensor_descriptor(
                 c_block_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl,
                 make_tuple(
                     make_freeze_transform(I0), // freeze mblock
                     make_pass_through_transform(
                         Number<CShuffleMXdlPerWavePerShuffle>{}), // M0 (MXdlPerWave) per shuffle
                     make_unmerge_transform(
                         make_tuple(M1, M2, M3, M4)), // M1 = MWave, M2 * M3 * M4 = MPerXdl
                     make_freeze_transform(I0),       // freeze nblock
                     make_pass_through_transform(
                         Number<CShuffleNXdlPerWavePerShuffle>{}), // N0 (NXdlPerWave) per shuffle
                     make_unmerge_transform(
                         make_tuple(N1, N2))), // M1 = MWave, M2 * M3 * M4 = MPerXdl
                 make_tuple(Sequence<0>{},
                            Sequence<1>{},
                            Sequence<2>{},
                            Sequence<3>{},
                            Sequence<4>{},
                            Sequence<5>{}),
                 make_tuple(Sequence<>{},
                            Sequence<0>{},
                            Sequence<2, 4, 5, 6>{},
                            Sequence<>{},
                            Sequence<1>{},
                            Sequence<3, 7>{}));
  
             // calculate origin of thread output tensor on global memory
             //     blockwise GEMM c matrix starting index
             const auto c_thread_mtx_on_block =
                 blockwise_gemm.CalculateCThreadOriginDataIndex(I0, I0, I0, I0);
  
             const index_t m_thread_data_on_block = c_thread_mtx_on_block[I0];
             const index_t n_thread_data_on_block = c_thread_mtx_on_block[I1];
  
             const auto m_thread_data_on_block_to_m0_m1_m2_m3_m4_adaptor =
                 make_single_stage_tensor_adaptor(
                     make_tuple(make_merge_transform(make_tuple(M0, M1, M2, M3, M4))),
                     make_tuple(Sequence<0, 1, 2, 3, 4>{}),
                     make_tuple(Sequence<0>{}));
  
             const auto m_thread_data_on_block_idx =
                 m_thread_data_on_block_to_m0_m1_m2_m3_m4_adaptor.CalculateBottomIndex(
                     make_multi_index(m_thread_data_on_block));
  
             const auto n_thread_data_on_block_to_n0_n1_n2_adaptor =
                 make_single_stage_tensor_adaptor(
                     make_tuple(make_merge_transform(make_tuple(N0, N1, N2))),
                     make_tuple(Sequence<0, 1, 2>{}),
                     make_tuple(Sequence<0>{}));
  
             const auto n_thread_data_on_block_idx =
                 n_thread_data_on_block_to_n0_n1_n2_adaptor.CalculateBottomIndex(
                     make_multi_index(n_thread_data_on_block));
  
             // VGPR to LDS
             auto c_thread_copy_vgpr_to_lds =
                 ThreadwiseTensorSliceTransfer_v1r3<FloatAcc,
                                                    FloatCShuffle,
                                                    decltype(c_thread_desc_m0_n0_m1_n1_m2_m3_m4_n2),
                                                    decltype(c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2),
                                                    ck::tensor_operation::element_wise::PassThrough,
                                                    Sequence<CShuffleMXdlPerWavePerShuffle,
                                                             CShuffleNXdlPerWavePerShuffle,
                                                             I1,
                                                             I1,
                                                             M2,
                                                             I1,
                                                             M4,
                                                             I1>,
                                                    Sequence<0, 1, 2, 3, 4, 5, 6, 7>,
                                                    7,
                                                    1,
                                                    InMemoryDataOperationEnum::Set,
                                                    1,
                                                    true>{
                     c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2,
                     make_multi_index(0,
                                      0,
                                      m_thread_data_on_block_idx[I1],
                                      n_thread_data_on_block_idx[I1],
                                      m_thread_data_on_block_idx[I2],
                                      m_thread_data_on_block_idx[I3],
                                      m_thread_data_on_block_idx[I4],
                                      n_thread_data_on_block_idx[I2]),
                     ck::tensor_operation::element_wise::PassThrough{}};
  
             // LDS to global
             auto c_block_copy_lds_to_global = ThreadGroupTensorSliceTransfer_v6r1<
                 ThisThreadBlock,            // ThreadGroup
                 CElementwiseOperation,      // ElementwiseOperation,
                 CGlobalMemoryDataOperation, // DstInMemOp,
                 Sequence<1,
                          CShuffleMXdlPerWavePerShuffle,
                          MWave * MPerXdl,
                          1,
                          CShuffleNXdlPerWavePerShuffle,
                          NWave * NPerXdl>, // BlockSliceLengths,
                 CBlockTransferClusterLengths_MBlock_MXdlPerWave_MWaveMPerXdl_NBlock_NXdlPerWave_NWaveNPerXdl,
                 Sequence<0, 1, 2, 3, 4, 5>, // typename ThreadClusterArrangeOrder,
                 FloatCShuffle,              // typename SrcData,
                 FloatC,                     // typename DstData,
                 decltype(c_block_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
                 decltype(c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl),
                 Sequence<0, 1, 2, 3, 4, 5>,                 // typename DimAccessOrder,
                 5,                                          // index_t VectorDim,
                 CBlockTransferScalarPerVector_NWaveNPerXdl, // index_t ScalarPerVector,
                 true,  // bool ThreadTransferSrcResetCoordinateAfterRun,
                 false> // bool ThreadTransferDstResetCoordinateAfterRun>
                 {c_block_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl,
                  make_multi_index(0, 0, 0, 0, 0, 0),
                  c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl,
                  make_multi_index(block_work_idx[I0], 0, 0, block_work_idx[I1], 0, 0),
                  c_element_op};
  
             constexpr auto mxdlperwave_forward_step =
                 make_multi_index(0, CShuffleMXdlPerWavePerShuffle, 0, 0, 0, 0);
             constexpr auto nxdlperwave_forward_step =
                 make_multi_index(0, 0, 0, 0, CShuffleNXdlPerWavePerShuffle, 0);
             constexpr auto nxdlperwave_backward_step =
                 make_multi_index(0, 0, 0, 0, -CShuffleNXdlPerWavePerShuffle, 0);
  
             static_for<0, MXdlPerWave, CShuffleMXdlPerWavePerShuffle>{}([&](auto mxdlperwave_iter) {
                 constexpr auto mxdlperwave = mxdlperwave_iter;
  
                 static_for<0,
                            NXdlPerWave,
                            CShuffleNXdlPerWavePerShuffle>{}([&](auto nxdlperwave_iter) {
                     constexpr bool nxdlperwave_forward_sweep =
                         (mxdlperwave % (2 * CShuffleMXdlPerWavePerShuffle) == 0);
  
                     constexpr index_t nxdlperwave_value =
                         nxdlperwave_forward_sweep
                             ? nxdlperwave_iter
                             : (NXdlPerWave - nxdlperwave_iter - CShuffleNXdlPerWavePerShuffle);
  
                     constexpr auto nxdlperwave = Number<nxdlperwave_value>{};
  
                     // make sure it's safe to do ds_write
                     block_sync_lds();
  
                     // VGPR to LDS
                     c_thread_copy_vgpr_to_lds.Run(
                         c_thread_desc_m0_n0_m1_n1_m2_m3_m4_n2,
                         make_tuple(mxdlperwave, nxdlperwave, I0, I0, I0, I0, I0, I0),
                         c_thread_buf,
                         c_block_desc_m0_n0_m1_n1_m2_m3_m4_n2,
                         c_shuffle_block_buf);
  
                     // make sure it's safe to do ds_read
                     block_sync_lds();
  
                     // LDS to global
                     c_block_copy_lds_to_global.Run(
                         c_block_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl,
                         c_shuffle_block_buf,
                         c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl,
                         c_grid_buf);
  
                     // move on nxdlperwave dimension
                     if constexpr(nxdlperwave_forward_sweep &&
                                  (nxdlperwave < NXdlPerWave - CShuffleNXdlPerWavePerShuffle))
                     {
                         c_block_copy_lds_to_global.MoveDstSliceWindow(
                             c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl,
                             nxdlperwave_forward_step);
                     }
                     else if constexpr((!nxdlperwave_forward_sweep) && (nxdlperwave > 0))
                     {
                         c_block_copy_lds_to_global.MoveDstSliceWindow(
                             c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl,
                             nxdlperwave_backward_step);
                     }
                 });
  
                 // move on mxdlperwave dimension
                 if constexpr(mxdlperwave < MXdlPerWave - CShuffleMXdlPerWavePerShuffle)
                 {
                     c_block_copy_lds_to_global.MoveDstSliceWindow(
                         c_grid_desc_mblock_mxdlperwave_mwavemperxdl_nblock_nxdlperwave_nwavenperxdl,
                         mxdlperwave_forward_step);
                 }
             });
         }
     }
 };
  
 } // namespace ck