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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_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_v1.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/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 ABK0MK1GridDesc,
           typename BBK0NK1GridDesc,
           typename CM0N0M1N1M2M3M4N2GridDesc,
           typename AElementwiseOperation,
           typename BElementwiseOperation,
           typename CElementwiseOperation,
           typename CBlockClusterAdaptor,
           bool HasMainKBlockLoop>
 __global__ void
 #if CK_USE_LAUNCH_BOUNDS
 __launch_bounds__(CK_MAX_THREAD_PER_BLOCK, CK_MIN_BLOCK_PER_CU)
 #endif
     kernel_gemm_xdlops_v2r4(const FloatAB* __restrict__ p_a_grid,
                             const FloatAB* __restrict__ p_b_grid,
                             FloatC* __restrict__ p_c_grid,
                             const ABK0MK1GridDesc a_b_k0_m_k1_grid_desc,
                             const BBK0NK1GridDesc b_b_k0_n_k1_grid_desc,
                             const CM0N0M1N1M2M3M4N2GridDesc c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc,
                             const AElementwiseOperation a_element_op,
                             const BElementwiseOperation b_element_op,
                             const CElementwiseOperation c_element_op,
                             const CBlockClusterAdaptor c_block_cluster_adaptor)
 {
 #if(defined(__gfx908__) || defined(__gfx90a__) || defined(__gfx94__))
     constexpr index_t shared_block_size =
         GridwiseGemm::GetSharedMemoryNumberOfByte() / sizeof(FloatAB);
  
     __shared__ FloatAB p_shared_block[shared_block_size];
  
     GridwiseGemm::template Run<HasMainKBlockLoop>(p_a_grid,
                                                   p_b_grid,
                                                   p_c_grid,
                                                   p_shared_block,
                                                   a_b_k0_m_k1_grid_desc,
                                                   b_b_k0_n_k1_grid_desc,
                                                   c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc,
                                                   a_element_op,
                                                   b_element_op,
                                                   c_element_op,
                                                   c_block_cluster_adaptor);
 #else
     ignore = p_a_grid;
     ignore = p_b_grid;
     ignore = p_c_grid;
     ignore = a_b_k0_m_k1_grid_desc;
     ignore = b_b_k0_n_k1_grid_desc;
     ignore = c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc;
     ignore = a_element_op;
     ignore = b_element_op;
     ignore = c_element_op;
     ignore = c_block_cluster_adaptor;
 #endif // end of if (defined(__gfx908__) || defined(__gfx90a__))
 }
  
 template <index_t BlockSize,
           typename FloatAB,
           typename FloatAcc,
           typename FloatC,
           InMemoryDataOperationEnum CGlobalMemoryDataOperation,
           typename ABK0MK1GridDesc,
           typename BBK0NK1GridDesc,
           typename CMNGridDesc,
           typename AElementwiseOperation,
           typename BElementwiseOperation,
           typename CElementwiseOperation,
           index_t MPerBlock,
           index_t NPerBlock,
           index_t K0PerBlock,
           index_t MPerXDL,
           index_t NPerXDL,
           index_t K1Value,
           index_t MRepeat,
           index_t NRepeat,
           typename ABlockTransferThreadClusterLengths_K0_M_K1,
           typename ABlockTransferThreadClusterArrangeOrder,
           typename ABlockTransferSrcAccessOrder,
           index_t ABlockTransferSrcVectorDim,
           index_t ABlockTransferSrcScalarPerVector,
           index_t ABlockTransferDstScalarPerVector_K1,
           bool AThreadTransferSrcResetCoordinateAfterRun,
           bool ABlockLdsExtraM,
           typename BBlockTransferThreadClusterLengths_K0_N_K1,
           typename BBlockTransferThreadClusterArrangeOrder,
           typename BBlockTransferSrcAccessOrder,
           index_t BBlockTransferSrcVectorDim,
           index_t BBlockTransferSrcScalarPerVector,
           index_t BBlockTransferDstScalarPerVector_K1,
           bool BThreadTransferSrcResetCoordinateAfterRun,
           bool BBlockLdsExtraN,
           typename CThreadTransferSrcDstAccessOrder,
           index_t CThreadTransferSrcDstVectorDim,
           index_t CThreadTransferDstScalarPerVector>
 struct GridwiseGemm_bk0mk1_bk0nk1_mn_xdlops_v2r4
 {
     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 K1 = Number<K1Value>{};
  
     using ThisThreadBlock = ThisThreadBlock<BlockSize>;
  
     __host__ __device__ static constexpr index_t GetSharedMemoryNumberOfByte()
     {
         constexpr auto max_lds_align = K1;
  
         // A matrix in LDS memory, dst of blockwise copy
         constexpr auto a_k0_m_k1_block_desc = [&]() {
             if constexpr(ABlockLdsExtraM)
             {
                 return make_naive_tensor_descriptor(
                     make_tuple(Number<K0PerBlock>{}, Number<MPerBlock>{}, K1),
                     make_tuple(Number<MPerBlock + 1>{} * K1, K1, I1));
             }
             else
             {
                 return make_naive_tensor_descriptor_aligned(
                     make_tuple(Number<K0PerBlock>{}, Number<MPerBlock>{}, K1), max_lds_align);
             }
         }();
  
         // B matrix in LDS memory, dst of blockwise copy
         constexpr auto b_k0_n_k1_block_desc = [&]() {
             if constexpr(BBlockLdsExtraN)
             {
                 return make_naive_tensor_descriptor(
                     make_tuple(Number<K0PerBlock>{}, Number<NPerBlock>{}, K1),
                     make_tuple(Number<NPerBlock + 1>{} * K1, K1, I1));
             }
             else
             {
                 return make_naive_tensor_descriptor_aligned(
                     make_tuple(Number<K0PerBlock>{}, Number<NPerBlock>{}, K1), max_lds_align);
             }
         }();
  
         // LDS allocation for A and B: be careful of alignment
         constexpr auto a_block_space_size =
             math::integer_least_multiple(a_k0_m_k1_block_desc.GetElementSpaceSize(), max_lds_align);
  
         constexpr auto b_block_space_size =
             math::integer_least_multiple(b_k0_n_k1_block_desc.GetElementSpaceSize(), max_lds_align);
  
         return (a_block_space_size + b_block_space_size) * sizeof(FloatAB);
     }
  
     // block_id to matrix tile idx (m0, n0) mapping are controlled by {M01, N01}
     template <typename Block2CTileMap>
     __host__ __device__ static constexpr bool
     CheckValidity(const ABK0MK1GridDesc& a_b_k0_m_k1_grid_desc,
                   const BBK0NK1GridDesc& b_b_k0_n_k1_grid_desc,
                   const CMNGridDesc& c_m_n_grid_desc,
                   const Block2CTileMap& block_2_ctile_map)
     {
         static_assert(is_known_at_compile_time<remove_cv_t<decltype(K1)>>::value,
                       "wrong! K1 need to be known at compile-time");
  
         static_assert((MPerBlock % (MPerXDL * MRepeat) == 0) &&
                           (NPerBlock % (NRepeat * NPerXDL)) == 0,
                       "Invalid tuning param!");
  
         const auto M      = a_b_k0_m_k1_grid_desc.GetLength(I2);
         const auto N      = b_b_k0_n_k1_grid_desc.GetLength(I2);
         const auto K0     = a_b_k0_m_k1_grid_desc.GetLength(I1);
         const auto KBatch = a_b_k0_m_k1_grid_desc.GetLength(I0);
  
         if(!(M == c_m_n_grid_desc.GetLength(I0) && N == c_m_n_grid_desc.GetLength(I1) &&
              K0 == b_b_k0_n_k1_grid_desc.GetLength(I1) &&
              K1 == a_b_k0_m_k1_grid_desc.GetLength(I3) &&
              K1 == b_b_k0_n_k1_grid_desc.GetLength(I3) &&
              KBatch == b_b_k0_n_k1_grid_desc.GetLength(I0)))
             return false;
  
         if(!(M % MPerBlock == 0 && N % NPerBlock == 0 && K0 % K0PerBlock == 0))
             return false;
  
         if(!block_2_ctile_map.CheckValidity(c_m_n_grid_desc))
         {
             return false;
         }
  
         // TODO: also check validity of all components (blockwise-copy, threadwise-copy, etc)
         return true;
     }
  
     __host__ __device__ static constexpr bool CalculateHasMainK0BlockLoop(index_t K0)
     {
         const bool has_main_k0_block_loop = K0 > K0PerBlock;
  
         return has_main_k0_block_loop;
     }
  
     __host__ __device__ static constexpr auto
     MakeCM0N0M1N1M2M3M4N2GridDescriptor(const CMNGridDesc& c_m_n_grid_desc)
     {
         constexpr auto max_lds_align = K1;
  
         // A matrix in LDS memory, dst of blockwise copy
         constexpr auto a_k0_m_k1_block_desc = [&]() {
             if constexpr(ABlockLdsExtraM)
             {
                 return make_naive_tensor_descriptor(
                     make_tuple(Number<K0PerBlock>{}, Number<MPerBlock>{}, K1),
                     make_tuple(Number<MPerBlock + 1>{} * K1, K1, I1));
             }
             else
             {
                 return make_naive_tensor_descriptor_aligned(
                     make_tuple(Number<K0PerBlock>{}, Number<MPerBlock>{}, K1), max_lds_align);
             }
         }();
  
         // B matrix in LDS memory, dst of blockwise copy
         constexpr auto b_k0_n_k1_block_desc = [&]() {
             if constexpr(BBlockLdsExtraN)
             {
                 return make_naive_tensor_descriptor(
                     make_tuple(Number<K0PerBlock>{}, Number<NPerBlock>{}, K1),
                     make_tuple(Number<NPerBlock + 1>{} * K1, K1, I1));
             }
             else
             {
                 return make_naive_tensor_descriptor_aligned(
                     make_tuple(Number<K0PerBlock>{}, Number<NPerBlock>{}, K1), max_lds_align);
             }
         }();
  
         using BlockwiseGemm =
             BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_v1<BlockSize,
                                                                 FloatAB,
                                                                 FloatAcc,
                                                                 decltype(a_k0_m_k1_block_desc),
                                                                 decltype(b_k0_n_k1_block_desc),
                                                                 MPerXDL,
                                                                 NPerXDL,
                                                                 MRepeat,
                                                                 NRepeat,
                                                                 K1>;
  
         return BlockwiseGemm::MakeCGridDescriptor_M0_N0_M1_N1_M2_M3_M4_N2(c_m_n_grid_desc);
     }
  
     // return block_id to C matrix tile idx (m0, n0) mapping
     __host__ __device__ static constexpr auto MakeCBlockClusterAdaptor(
         const CMNGridDesc& c_m_n_grid_desc, index_t /* M01 */, index_t /* N01 */, index_t KBatch)
     {
         return BlockToCTileMap_KSplit_M00_N0_M01Adapt<MPerBlock, NPerBlock, CMNGridDesc>(
             c_m_n_grid_desc, 8, KBatch);
     }
  
     using CM0N0M1N1M2M3M4N2GridDesc = decltype(MakeCM0N0M1N1M2M3M4N2GridDescriptor(CMNGridDesc{}));
     using CBlockClusterAdaptor      = decltype(MakeCBlockClusterAdaptor(CMNGridDesc{}, 1, 1, 1));
  
     template <bool HasMainKBlockLoop>
     __device__ static void Run(const FloatAB* __restrict__ p_a_grid,
                                const FloatAB* __restrict__ p_b_grid,
                                FloatC* __restrict__ p_c_grid,
                                FloatAB* __restrict__ p_shared_block,
                                const ABK0MK1GridDesc& a_b_k0_m_k1_grid_desc,
                                const BBK0NK1GridDesc& b_b_k0_n_k1_grid_desc,
                                const CM0N0M1N1M2M3M4N2GridDesc& c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc,
                                const AElementwiseOperation& a_element_op,
                                const BElementwiseOperation& b_element_op,
                                const CElementwiseOperation& c_element_op,
                                const CBlockClusterAdaptor& c_block_cluster_adaptor)
     {
         const auto a_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
             p_a_grid, a_b_k0_m_k1_grid_desc.GetElementSpaceSize());
         const auto b_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
             p_b_grid, b_b_k0_n_k1_grid_desc.GetElementSpaceSize());
         auto c_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
             p_c_grid, c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc.GetElementSpaceSize());
  
         const auto K0 = a_b_k0_m_k1_grid_desc.GetLength(I1);
  
         // divide block work by [M, N]
         const auto block_work_idx =
             c_block_cluster_adaptor.CalculateBottomIndex(make_multi_index(get_block_1d_id()));
  
         if(!c_block_cluster_adaptor.ValidCTileIndex(
                make_tuple(block_work_idx[I1], block_work_idx[I2]),
                make_tuple(c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc.GetLength(I0),
                           c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc.GetLength(I1))))
         {
             return;
         }
  
         const index_t k_batch_id = block_work_idx[I0];
  
         // 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[I1] * MPerBlock);
  
         const index_t n_block_data_idx_on_grid =
             __builtin_amdgcn_readfirstlane(block_work_idx[I2] * NPerBlock);
  
         // lds max alignment
         constexpr auto max_lds_align = K1;
  
         // A matrix in LDS memory, dst of blockwise copy
         constexpr auto a_k0_m_k1_block_desc = [&]() {
             if constexpr(ABlockLdsExtraM)
             {
                 return make_naive_tensor_descriptor(
                     make_tuple(Number<K0PerBlock>{}, Number<MPerBlock>{}, K1),
                     make_tuple(Number<MPerBlock + 1>{} * K1, K1, I1));
             }
             else
             {
                 return make_naive_tensor_descriptor_aligned(
                     make_tuple(Number<K0PerBlock>{}, Number<MPerBlock>{}, K1), max_lds_align);
             }
         }();
  
         constexpr auto a_b_k0_m_k1_block_desc = [&]() {
             if constexpr(ABlockLdsExtraM)
             {
                 return make_naive_tensor_descriptor(
                     make_tuple(Number<1>{}, Number<K0PerBlock>{}, Number<MPerBlock>{}, K1),
                     make_tuple(Number<K0PerBlock>{} * Number<MPerBlock + 1>{} * K1,
                                Number<MPerBlock + 1>{} * K1,
                                K1,
                                I1));
             }
             else
             {
                 return make_naive_tensor_descriptor_aligned(
                     make_tuple(Number<1>{}, Number<K0PerBlock>{}, Number<MPerBlock>{}, K1),
                     max_lds_align);
             }
         }();
         // B matrix in LDS memory, dst of blockwise copy
         constexpr auto b_k0_n_k1_block_desc = [&]() {
             if constexpr(BBlockLdsExtraN)
             {
                 return make_naive_tensor_descriptor(
                     make_tuple(Number<K0PerBlock>{}, Number<NPerBlock>{}, K1),
                     make_tuple(Number<NPerBlock + 1>{} * K1, K1, I1));
             }
             else
             {
                 return make_naive_tensor_descriptor_aligned(
                     make_tuple(Number<K0PerBlock>{}, Number<NPerBlock>{}, K1), max_lds_align);
             }
         }();
  
         constexpr auto b_b_k0_n_k1_block_desc = [&]() {
             if constexpr(BBlockLdsExtraN)
             {
                 return make_naive_tensor_descriptor(
                     make_tuple(Number<1>{}, Number<K0PerBlock>{}, Number<NPerBlock>{}, K1),
                     make_tuple(Number<K0PerBlock>{} * Number<NPerBlock + 1>{} * K1,
                                Number<NPerBlock + 1>{} * K1,
                                K1,
                                I1));
             }
             else
             {
                 return make_naive_tensor_descriptor_aligned(
                     make_tuple(Number<1>{}, Number<K0PerBlock>{}, Number<NPerBlock>{}, K1),
                     max_lds_align);
             }
         }();
         // A matrix blockwise copy
         auto a_blockwise_copy =
             ThreadGroupTensorSliceTransfer_v4r1<ThisThreadBlock,
                                                 AElementwiseOperation,
                                                 ck::tensor_operation::element_wise::PassThrough,
                                                 InMemoryDataOperationEnum::Set,
                                                 Sequence<1, K0PerBlock, MPerBlock, K1>,
                                                 ABlockTransferThreadClusterLengths_K0_M_K1,
                                                 ABlockTransferThreadClusterArrangeOrder,
                                                 FloatAB,
                                                 FloatAB,
                                                 decltype(a_b_k0_m_k1_grid_desc),
                                                 decltype(a_b_k0_m_k1_block_desc),
                                                 ABlockTransferSrcAccessOrder,
                                                 Sequence<0, 2, 1, 3>,
                                                 ABlockTransferSrcVectorDim,
                                                 3,
                                                 ABlockTransferSrcScalarPerVector,
                                                 ABlockTransferDstScalarPerVector_K1,
                                                 1,
                                                 1,
                                                 AThreadTransferSrcResetCoordinateAfterRun,
                                                 true>(
                 a_b_k0_m_k1_grid_desc,
                 make_multi_index(k_batch_id, 0, m_block_data_idx_on_grid, 0),
                 a_element_op,
                 a_b_k0_m_k1_block_desc,
                 make_multi_index(0, 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<1, K0PerBlock, NPerBlock, K1>,
                                                 BBlockTransferThreadClusterLengths_K0_N_K1,
                                                 BBlockTransferThreadClusterArrangeOrder,
                                                 FloatAB,
                                                 FloatAB,
                                                 decltype(b_b_k0_n_k1_grid_desc),
                                                 decltype(b_b_k0_n_k1_block_desc),
                                                 BBlockTransferSrcAccessOrder,
                                                 Sequence<0, 2, 1, 3>,
                                                 BBlockTransferSrcVectorDim,
                                                 3,
                                                 BBlockTransferSrcScalarPerVector,
                                                 BBlockTransferDstScalarPerVector_K1,
                                                 1,
                                                 1,
                                                 BThreadTransferSrcResetCoordinateAfterRun,
                                                 true>(
                 b_b_k0_n_k1_grid_desc,
                 make_multi_index(k_batch_id, 0, n_block_data_idx_on_grid, 0),
                 b_element_op,
                 b_b_k0_n_k1_block_desc,
                 make_multi_index(0, 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
  
         auto blockwise_gemm =
             BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_v1<BlockSize,
                                                                 FloatAB,
                                                                 FloatAcc,
                                                                 decltype(a_k0_m_k1_block_desc),
                                                                 decltype(b_k0_n_k1_block_desc),
                                                                 MPerXDL,
                                                                 NPerXDL,
                                                                 MRepeat,
                                                                 NRepeat,
                                                                 K1>{};
  
         auto c_thread_buf = blockwise_gemm.GetCThreadBuffer();
  
         // LDS allocation for A and B: be careful of alignment
         constexpr auto a_block_space_size =
             math::integer_least_multiple(a_k0_m_k1_block_desc.GetElementSpaceSize(), max_lds_align);
  
         FloatAB* p_a_block = p_shared_block;
         FloatAB* p_b_block = p_shared_block + a_block_space_size;
  
         constexpr auto a_block_slice_copy_step = make_multi_index(0, K0PerBlock, 0, 0);
         constexpr auto b_block_slice_copy_step = make_multi_index(0, K0PerBlock, 0, 0);
  
         auto a_block_buf = make_dynamic_buffer<AddressSpaceEnum::Lds>(
             p_a_block, a_k0_m_k1_block_desc.GetElementSpaceSize());
         auto b_block_buf = make_dynamic_buffer<AddressSpaceEnum::Lds>(
             p_b_block, b_k0_n_k1_block_desc.GetElementSpaceSize());
  
         // preload data into LDS
         {
             a_blockwise_copy.RunRead(a_b_k0_m_k1_grid_desc, a_grid_buf);
             b_blockwise_copy.RunRead(b_b_k0_n_k1_grid_desc, b_grid_buf);
  
             a_blockwise_copy.RunWrite(a_b_k0_m_k1_block_desc, a_block_buf);
             b_blockwise_copy.RunWrite(b_b_k0_n_k1_block_desc, b_block_buf);
         }
  
         // Initialize C
         c_thread_buf.Clear();
  
         // main body
         if constexpr(HasMainKBlockLoop)
         {
             index_t k0_block_data_begin = 0;
  
             do
             {
                 a_blockwise_copy.MoveSrcSliceWindow(a_b_k0_m_k1_grid_desc, a_block_slice_copy_step);
                 b_blockwise_copy.MoveSrcSliceWindow(b_b_k0_n_k1_grid_desc, b_block_slice_copy_step);
  
                 a_blockwise_copy.RunRead(a_b_k0_m_k1_grid_desc, a_grid_buf);
  
                 block_sync_lds();
  
                 b_blockwise_copy.RunRead(b_b_k0_n_k1_grid_desc, b_grid_buf);
  
                 blockwise_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
  
                 block_sync_lds();
  
                 a_blockwise_copy.RunWrite(a_b_k0_m_k1_block_desc, a_block_buf);
                 b_blockwise_copy.RunWrite(b_b_k0_n_k1_block_desc, b_block_buf);
  
                 k0_block_data_begin += K0PerBlock;
             } while(k0_block_data_begin < (K0 - K0PerBlock));
         }
  
         // tail
         {
             block_sync_lds();
  
             blockwise_gemm.Run(a_block_buf, b_block_buf, c_thread_buf);
         }
  
         // output: register to global memory
         {
             constexpr auto c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc =
                 blockwise_gemm.GetCBlockDescriptor_M0_N0_M1_N1_M2_M3_M4_N2();
  
             constexpr auto M0 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I0);
             constexpr auto N0 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I1);
             constexpr auto M1 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I2);
             constexpr auto N1 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I3);
             constexpr auto M2 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I4);
             constexpr auto M3 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I5);
             constexpr auto M4 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I6);
             constexpr auto N2 = c_m0_n0_m1_n1_m2_m3_m4_n2_block_desc.GetLength(I7);
  
             constexpr auto c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc =
                 make_naive_tensor_descriptor_packed(make_tuple(
                     Number<M0>{}, Number<N0>{}, I1, I1, Number<M2>{}, I1, Number<M4>{}, I1));
  
             // 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_grid =
                 m_block_data_idx_on_grid + c_thread_mtx_on_block[I0];
  
             const index_t n_thread_data_on_grid =
                 n_block_data_idx_on_grid + c_thread_mtx_on_block[I1];
  
             const auto m_thread_data_on_grid_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_grid_idx =
                 m_thread_data_on_grid_to_m0_m1_m2_m3_m4_adaptor.CalculateBottomIndex(
                     make_multi_index(m_thread_data_on_grid));
  
             const auto n_thread_data_on_grid_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_grid_idx =
                 n_thread_data_on_grid_to_n0_n1_n2_adaptor.CalculateBottomIndex(
                     make_multi_index(n_thread_data_on_grid));
  
             auto c_thread_copy =
                 ThreadwiseTensorSliceTransfer_v1r3<FloatAcc,
                                                    FloatC,
                                                    decltype(c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc),
                                                    decltype(c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc),
                                                    CElementwiseOperation,
                                                    Sequence<M0, N0, I1, I1, M2, I1, M4, I1>,
                                                    CThreadTransferSrcDstAccessOrder,
                                                    CThreadTransferSrcDstVectorDim,
                                                    CThreadTransferDstScalarPerVector,
                                                    CGlobalMemoryDataOperation,
                                                    1,
                                                    true>{
  
                     c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc,
                     make_multi_index(m_thread_data_on_grid_idx[I0],
                                      n_thread_data_on_grid_idx[I0],
                                      m_thread_data_on_grid_idx[I1],
                                      n_thread_data_on_grid_idx[I1],
                                      m_thread_data_on_grid_idx[I2],
                                      m_thread_data_on_grid_idx[I3],
                                      m_thread_data_on_grid_idx[I4],
                                      n_thread_data_on_grid_idx[I2]),
                     c_element_op};
  
             c_thread_copy.Run(c_m0_n0_m1_n1_m2_m3_m4_n2_thread_desc,
                               make_tuple(I0, I0, I0, I0, I0, I0, I0, I0),
                               c_thread_buf,
                               c_m0_n0_m1_n1_m2_m3_m4_n2_grid_desc,
                               c_grid_buf);
         }
     }
 };
  
 } // namespace ck