// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier: MIT

#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/thread/threadwise_tensor_slice_transfer.hpp"
#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
#include "ck/tensor_operation/gpu/grid/gridwise_gemm_xdl_cshuffle_common.hpp"

namespace ck {

// GEMM:
//   input : A[M, K]
//   input : B[N, K]
//   input : D0[M, N], D1[M, N], ...
//   output : E[M, N]
//   C = a_op(A) * b_op(B)
//   E = cde_op(C, D0, D1, ...)
// Assume:
//   D0, D1, ... and E have the same layout
template <typename ABDataType, // FIXME: don't assume A/B have same datatype
          typename AccDataType,
          typename CShuffleDataType,
          typename DsDataType,
          typename EDataType,
          typename AElementwiseOperation,
          typename BElementwiseOperation,
          typename CDEElementwiseOperation,
          InMemoryDataOperationEnum EGlobalMemoryDataOperation,
          typename AGridDesc_M_K,
          typename BGridDesc_N_K,
          typename DsGridDesc_M_N,
          typename EGridDesc_M_N,
          index_t NumGemmKPrefetchStage,
          index_t BlockSize,
          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_AK1,
          bool AThreadTransferSrcResetCoordinateAfterRun,
          index_t ABlockLdsExtraM,
          typename BBlockTransferThreadClusterLengths_BK0_N_BK1,
          typename BBlockTransferThreadClusterArrangeOrder,
          typename BBlockTransferSrcAccessOrder,
          index_t BBlockTransferSrcVectorDim,
          index_t BBlockTransferSrcScalarPerVector,
          index_t BBlockTransferDstScalarPerVector_BK1,
          bool BThreadTransferSrcResetCoordinateAfterRun,
          index_t BBlockLdsExtraN,
          index_t CShuffleMXdlPerWavePerShuffle,
          index_t CShuffleNXdlPerWavePerShuffle,
          typename CDEBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
          index_t CDEShuffleBlockTransferScalarPerVector_NPerBlock,
          LoopScheduler LoopSched>
struct GridwiseGemmSplitKMultipleD_xdl_cshuffle
    : public GridwiseGemm_xdl_cshuffle_base<
          tensor_layout::gemm::RowMajor,
          tensor_layout::gemm::ColumnMajor,
          tensor_layout::gemm::RowMajor,
          ABDataType,
          ABDataType,
          AccDataType,
          CShuffleDataType,
          DsDataType,
          EDataType,
          AElementwiseOperation,
          BElementwiseOperation,
          BlockSize,
          MPerBlock,
          NPerBlock,
          KPerBlock,
          AK1Value,
          BK1Value,
          MPerXdl,
          NPerXdl,
          MXdlPerWave,
          NXdlPerWave,
          ABlockTransferThreadClusterLengths_AK0_M_AK1,
          ABlockTransferThreadClusterArrangeOrder,
          ABlockTransferSrcAccessOrder,
          ABlockTransferSrcVectorDim,
          ABlockTransferSrcScalarPerVector,
          ABlockTransferDstScalarPerVector_AK1,
          AThreadTransferSrcResetCoordinateAfterRun,
          ABlockLdsExtraM,
          BBlockTransferThreadClusterLengths_BK0_N_BK1,
          BBlockTransferThreadClusterArrangeOrder,
          BBlockTransferSrcAccessOrder,
          BBlockTransferSrcVectorDim,
          BBlockTransferSrcScalarPerVector,
          BBlockTransferDstScalarPerVector_BK1,
          BThreadTransferSrcResetCoordinateAfterRun,
          BBlockLdsExtraN,
          CShuffleMXdlPerWavePerShuffle,
          CShuffleNXdlPerWavePerShuffle,
          CDEBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
          Sequence<CDEShuffleBlockTransferScalarPerVector_NPerBlock>,
          ABDataType,
          ABDataType,
          true> // ForceNaiveLayout
{
    using Base = GridwiseGemm_xdl_cshuffle_base<
        tensor_layout::gemm::RowMajor,
        tensor_layout::gemm::ColumnMajor,
        tensor_layout::gemm::RowMajor,
        ABDataType,
        ABDataType,
        AccDataType,
        CShuffleDataType,
        DsDataType,
        EDataType,
        AElementwiseOperation,
        BElementwiseOperation,
        BlockSize,
        MPerBlock,
        NPerBlock,
        KPerBlock,
        AK1Value,
        BK1Value,
        MPerXdl,
        NPerXdl,
        MXdlPerWave,
        NXdlPerWave,
        ABlockTransferThreadClusterLengths_AK0_M_AK1,
        ABlockTransferThreadClusterArrangeOrder,
        ABlockTransferSrcAccessOrder,
        ABlockTransferSrcVectorDim,
        ABlockTransferSrcScalarPerVector,
        ABlockTransferDstScalarPerVector_AK1,
        AThreadTransferSrcResetCoordinateAfterRun,
        ABlockLdsExtraM,
        BBlockTransferThreadClusterLengths_BK0_N_BK1,
        BBlockTransferThreadClusterArrangeOrder,
        BBlockTransferSrcAccessOrder,
        BBlockTransferSrcVectorDim,
        BBlockTransferSrcScalarPerVector,
        BBlockTransferDstScalarPerVector_BK1,
        BThreadTransferSrcResetCoordinateAfterRun,
        BBlockLdsExtraN,
        CShuffleMXdlPerWavePerShuffle,
        CShuffleNXdlPerWavePerShuffle,
        CDEBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
        Sequence<CDEShuffleBlockTransferScalarPerVector_NPerBlock>,
        ABDataType,
        ABDataType,
        true>; // ForceNaiveLayout

    using Base::GetABlockDescriptor_AK0PerBlock_MPerBlock_AK1;
    using Base::GetABlockDescriptor_AKB_AK0PerBlock_MPerBlock_AK1;
    using Base::GetBBlockDescriptor_BK0PerBlock_NPerBlock_BK1;
    using Base::GetBBlockDescriptor_BKB_BK0PerBlock_NPerBlock_BK1;
    using Base::I0;
    using Base::I1;
    using Base::I2;
    using Base::I3;
    using ThisThreadBlock = typename Base::ThisThreadBlock;

    static constexpr index_t NumDTensor = DsDataType::Size();

    // K1 should be Number<...>
    static constexpr auto AK1         = Base::AK1Number;
    static constexpr auto BK1         = Base::BK1Number;
    static constexpr auto AK0PerBlock = Base::AK0Number;
    static constexpr auto BK0PerBlock = Base::BK0Number;

    using GridwiseGemmPipe = GridwiseGemmPipeline_v1<NumGemmKPrefetchStage, true, true>;

    // ck::Tuple<const D0DataType*, const D1DataType*, ...>
    static constexpr auto MakeDsGridPointer()
    {
        return generate_tuple(
            [&](auto i) {
                using DDataType = remove_cvref_t<tuple_element_t<i.value, DsDataType>>;

                return static_cast<const DDataType*>(nullptr);
            },
            Number<NumDTensor>{});
    }

    // A desc for source in blockwise copy
    __host__ __device__ static constexpr auto
    MakeDefaultAGridDescriptor_AKB_AK0_M_AK1(const AGridDesc_M_K& a_grid_desc_m_k,
                                             const int split_k)
    {
        const auto MRaw = a_grid_desc_m_k.GetLength(I0);
        const auto KRaw = a_grid_desc_m_k.GetLength(I1);

        const index_t AK0 =
            (math::integer_divide_ceil(KRaw, KPerBlock * split_k) * KPerBlock) / AK1;
        const index_t K = split_k * AK0 * AK1;
        const auto KPad = K - KRaw;

        const auto a_grid_desc_m_kpad = transform_tensor_descriptor(
            a_grid_desc_m_k,
            make_tuple(make_pass_through_transform(MRaw), make_right_pad_transform(KRaw, KPad)),
            make_tuple(Sequence<0>{}, Sequence<1>{}),
            make_tuple(Sequence<0>{}, Sequence<1>{}));
        return transform_tensor_descriptor(
            a_grid_desc_m_kpad,
            make_tuple(make_unmerge_transform(make_tuple(split_k, AK0, AK1)),
                       make_pass_through_transform(MRaw)),
            make_tuple(Sequence<1>{}, Sequence<0>{}),
            make_tuple(Sequence<0, 1, 3>{}, Sequence<2>{}));
    }

    // B desc for source in blockwise copy
    __host__ __device__ static constexpr auto
    MakeDefaultBGridDescriptor_BKB_BK0_N_BK1(const BGridDesc_N_K& b_grid_desc_n_k,
                                             const int split_k)
    {
        const auto NRaw = b_grid_desc_n_k.GetLength(I0);
        const auto KRaw = b_grid_desc_n_k.GetLength(I1);

        const index_t BK0 =
            (math::integer_divide_ceil(KRaw, KPerBlock * split_k) * KPerBlock) / BK1;
        const index_t K = split_k * BK0 * BK1;
        const auto KPad = K - KRaw;

        const auto b_grid_desc_n_kpad = transform_tensor_descriptor(
            b_grid_desc_n_k,
            make_tuple(make_pass_through_transform(NRaw), make_right_pad_transform(KRaw, KPad)),
            make_tuple(Sequence<0>{}, Sequence<1>{}),
            make_tuple(Sequence<0>{}, Sequence<1>{}));

        return transform_tensor_descriptor(
            b_grid_desc_n_kpad,
            make_tuple(make_unmerge_transform(make_tuple(split_k, BK0, BK1)),
                       make_pass_through_transform(NRaw)),
            make_tuple(Sequence<1>{}, Sequence<0>{}),
            make_tuple(Sequence<0, 1, 3>{}, Sequence<2>{}));
    }

    // E desc for destination in blockwise copy
    template <typename EGridDescriptor_M_N>
    __host__ __device__ static constexpr auto MakeEGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(
        const EGridDescriptor_M_N& e_grid_desc_m_n)
    {
        const auto M = e_grid_desc_m_n.GetLength(I0);
        const auto N = e_grid_desc_m_n.GetLength(I1);

        const auto MBlock = M / MPerBlock;
        const auto NBlock = N / NPerBlock;

        const auto e_grid_desc_mblock_mperblock_nblock_nperblock = transform_tensor_descriptor(
            e_grid_desc_m_n,
            make_tuple(make_unmerge_transform(make_tuple(MBlock, Number<MPerBlock>{})),
                       make_unmerge_transform(make_tuple(NBlock, Number<NPerBlock>{}))),
            make_tuple(Sequence<0>{}, Sequence<1>{}),
            make_tuple(Sequence<0, 1>{}, Sequence<2, 3>{}));

        return e_grid_desc_mblock_mperblock_nblock_nperblock;
    }

    // Ds desc for source in blockwise copy
    template <typename DsGridDescriptor_M_N>
    __host__ __device__ static constexpr auto
    MakeDsGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(
        const DsGridDescriptor_M_N& ds_grid_desc_m_n)
    {
        return generate_tuple(
            [&](auto i) {
                return MakeEGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(ds_grid_desc_m_n[i]);
            },
            Number<NumDTensor>{});
    }

    // return block_id to E matrix tile idx (m0, n0) mapping
    __host__ __device__ static constexpr auto
    MakeDefaultBlock2ETileMap(const EGridDesc_M_N& e_grid_desc_m_n, const int split_k)
    {
        return BlockToCTileMap_KSplit_M00_N0_M01Adapt<MPerBlock, NPerBlock, EGridDesc_M_N>(
            e_grid_desc_m_n, 8, split_k);
    }

    IS_VALID_COMPILATION_PARAMETER_IMPL(EDataType)

    // block_id to matrix tile idx (m0, n0) mapping are controlled by {M01, N01}
    template <typename AGridDesc_AKB_AK0_M_AK1,
              typename BGridDesc_BKB_BK0_N_BK1,
              typename Block2ETileMap>
    __host__ __device__ static constexpr bool
    CheckValidity(const AGridDesc_AKB_AK0_M_AK1& a_grid_desc_akb_ak0_m_ak1,
                  const BGridDesc_BKB_BK0_N_BK1& b_grid_desc_bkb_bk0_n_bk1,
                  const DsGridDesc_M_N& ds_grid_desc_m_n,
                  const EGridDesc_M_N& e_grid_desc_m_n,
                  const Block2ETileMap& block_2_etile_map)
    {
        static_assert((MPerBlock % (MPerXdl * MXdlPerWave) == 0) &&
                          (NPerBlock % (NXdlPerWave * NPerXdl)) == 0,
                      "Invalid tuning param!");

        const auto M = a_grid_desc_akb_ak0_m_ak1.GetLength(I2);
        const auto N = b_grid_desc_bkb_bk0_n_bk1.GetLength(I2);
        const auto K =
            a_grid_desc_akb_ak0_m_ak1.GetLength(I1) * a_grid_desc_akb_ak0_m_ak1.GetLength(I3);

        if(K != b_grid_desc_bkb_bk0_n_bk1.GetLength(I1) * b_grid_desc_bkb_bk0_n_bk1.GetLength(I3))
        {
            return false;
        }
        if(a_grid_desc_akb_ak0_m_ak1.GetLength(I0) != b_grid_desc_bkb_bk0_n_bk1.GetLength(I0))
        {
            return false;
        }

        // check consistency of desc
        if(!(M == e_grid_desc_m_n.GetLength(I0) && N == e_grid_desc_m_n.GetLength(I1)))
        {
            return false;
        }

        bool valid = true;

        static_for<0, NumDTensor, 1>{}([&](auto i) {
            valid = valid && (M == ds_grid_desc_m_n[i].GetLength(I0) &&
                              N == ds_grid_desc_m_n[i].GetLength(I1));
        });

        if(!valid)
        {
            return false;
        }

        // check tile size
        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;
        }

        // check block-to-E-tile
        if(!block_2_etile_map.CheckValidity(e_grid_desc_m_n))
        {
            return false;
        }

        // TODO: also check validity of all components (blockwise-copy, threadwise-copy, etc)
        // check tensor size: cannot be larger than 2GB each
        constexpr long_index_t TwoGB = (long_index_t{1} << 31);

        if(!(a_grid_desc_akb_ak0_m_ak1.GetElementSpaceSize() * sizeof(ABDataType) <= TwoGB &&
             b_grid_desc_bkb_bk0_n_bk1.GetElementSpaceSize() * sizeof(ABDataType) <= TwoGB &&
             e_grid_desc_m_n.GetElementSpaceSize() * sizeof(EDataType) <= TwoGB))
        {
            return false;
        }

        return true;
    }

    __host__ __device__ static constexpr bool CalculateHasMainKBlockLoop(index_t K)
    {
        const index_t num_loop = K / KPerBlock;

        return GridwiseGemmPipe::CalculateHasMainLoop(num_loop);
    }

    using DefaultAGridDesc_AK0_M_AK1 =
        remove_cvref_t<decltype(MakeDefaultAGridDescriptor_AKB_AK0_M_AK1(AGridDesc_M_K{}, 1))>;
    using DefaultBGridDesc_BK0_N_BK1 =
        remove_cvref_t<decltype(MakeDefaultBGridDescriptor_BKB_BK0_N_BK1(BGridDesc_N_K{}, 1))>;
    using EGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock =
        remove_cvref_t<decltype(MakeEGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(
            EGridDesc_M_N{}))>;
    using DsGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock =
        remove_cvref_t<decltype(MakeDsGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock(
            DsGridDesc_M_N{}))>;

    using DefaultBlock2ETileMap =
        remove_cvref_t<decltype(MakeDefaultBlock2ETileMap(EGridDesc_M_N{}, 1))>;

    using DsGridPointer = decltype(MakeDsGridPointer());

    template <bool HasMainKBlockLoop,
              typename AGridDesc_AKB_AK0_M_AK1,
              typename BGridDesc_BKB_BK0_N_BK1,
              typename Block2ETileMap>
    __device__ static void Run(const ABDataType* __restrict__ p_a_grid,
                               const ABDataType* __restrict__ p_b_grid,
                               DsGridPointer p_ds_grid,
                               EDataType* __restrict__ p_e_grid,
                               void* __restrict__ p_shared,
                               const AElementwiseOperation& a_element_op,
                               const BElementwiseOperation& b_element_op,
                               const CDEElementwiseOperation& cde_element_op,
                               const AGridDesc_AKB_AK0_M_AK1& a_grid_desc_akb_ak0_m_ak1,
                               const BGridDesc_BKB_BK0_N_BK1& b_grid_desc_bkb_bk0_n_bk1,
                               const DsGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock&
                                   ds_grid_desc_mblock_mperblock_nblock_nperblock,
                               const EGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock&
                                   e_grid_desc_mblock_mperblock_nblock_nperblock,
                               const Block2ETileMap& block_2_etile_map)
    {
        const auto block_work_idx =
            block_2_etile_map.CalculateBottomIndex(make_multi_index(get_block_1d_id()));

        if(block_work_idx[Number<0>{}] == 0)
        {
            Run0<HasMainKBlockLoop>(p_a_grid,
                                    p_b_grid,
                                    p_ds_grid,
                                    p_e_grid,
                                    p_shared,
                                    a_element_op,
                                    b_element_op,
                                    cde_element_op,
                                    a_grid_desc_akb_ak0_m_ak1,
                                    b_grid_desc_bkb_bk0_n_bk1,
                                    ds_grid_desc_mblock_mperblock_nblock_nperblock,
                                    e_grid_desc_mblock_mperblock_nblock_nperblock,
                                    block_2_etile_map);
        }
        else
        {
            Run1<HasMainKBlockLoop>(p_a_grid,
                                    p_b_grid,
                                    p_e_grid,
                                    p_shared,
                                    a_element_op,
                                    b_element_op,
                                    a_grid_desc_akb_ak0_m_ak1,
                                    b_grid_desc_bkb_bk0_n_bk1,
                                    ds_grid_desc_mblock_mperblock_nblock_nperblock,
                                    e_grid_desc_mblock_mperblock_nblock_nperblock,
                                    block_2_etile_map);
        }
    }
    template <bool HasMainKBlockLoop,
              typename AGridDesc_AKB_AK0_M_AK1,
              typename BGridDesc_BKB_BK0_N_BK1,
              typename Block2ETileMap>
    __device__ static void Run0(const ABDataType* __restrict__ p_a_grid,
                                const ABDataType* __restrict__ p_b_grid,
                                DsGridPointer p_ds_grid,
                                EDataType* __restrict__ p_e_grid,
                                void* __restrict__ p_shared,
                                const AElementwiseOperation& a_element_op,
                                const BElementwiseOperation& b_element_op,
                                const CDEElementwiseOperation& cde_element_op,
                                const AGridDesc_AKB_AK0_M_AK1& a_grid_desc_akb_ak0_m_ak1,
                                const BGridDesc_BKB_BK0_N_BK1& b_grid_desc_bkb_bk0_n_bk1,
                                const DsGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock&
                                    ds_grid_desc_mblock_mperblock_nblock_nperblock,
                                const EGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock&
                                    e_grid_desc_mblock_mperblock_nblock_nperblock,
                                const Block2ETileMap& block_2_etile_map)
    {
        const auto a_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
            p_a_grid, a_grid_desc_akb_ak0_m_ak1.GetElementSpaceSize());

        const auto b_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
            p_b_grid, b_grid_desc_bkb_bk0_n_bk1.GetElementSpaceSize());

        // divide block work by [M, N]
        const auto block_work_idx =
            block_2_etile_map.CalculateBottomIndex(make_multi_index(get_block_1d_id()));

        if(!block_2_etile_map.ValidCTileIndex(
               make_tuple(block_work_idx[I1], block_work_idx[I2]),
               make_tuple(e_grid_desc_mblock_mperblock_nblock_nperblock.GetLength(I0),
                          e_grid_desc_mblock_mperblock_nblock_nperblock.GetLength(I2))))
        {
            return;
        }

        // HACK: this force m/n_block_data_idx_on_grid into SGPR
        const index_t k_batch_id = block_work_idx[I0];

        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 = 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(get_device_arch());
        constexpr auto a_block_desc_akb_ak0_m_ak1 =
            GetABlockDescriptor_AKB_AK0PerBlock_MPerBlock_AK1(a_block_desc_ak0_m_ak1);

        // B matrix in LDS memory, dst of blockwise copy
        constexpr auto b_block_desc_bk0_n_bk1 =
            GetBBlockDescriptor_BK0PerBlock_NPerBlock_BK1(get_device_arch());
        constexpr auto b_block_desc_bkb_bk0_n_bk1 =
            GetBBlockDescriptor_BKB_BK0PerBlock_NPerBlock_BK1(b_block_desc_bk0_n_bk1);

        // A matrix blockwise copy
        auto a_blockwise_copy =
            ThreadGroupTensorSliceTransfer_v4r1<ThisThreadBlock,
                                                AElementwiseOperation,
                                                ck::tensor_operation::element_wise::PassThrough,
                                                InMemoryDataOperationEnum::Set,
                                                Sequence<I1, AK0PerBlock, MPerBlock, AK1>,
                                                ABlockTransferThreadClusterLengths_AK0_M_AK1,
                                                ABlockTransferThreadClusterArrangeOrder,
                                                ABDataType,
                                                ABDataType,
                                                decltype(a_grid_desc_akb_ak0_m_ak1),
                                                decltype(a_block_desc_akb_ak0_m_ak1),
                                                ABlockTransferSrcAccessOrder,
                                                Sequence<0, 2, 1, 3>,
                                                ABlockTransferSrcVectorDim,
                                                3,
                                                ABlockTransferSrcScalarPerVector,
                                                ABlockTransferDstScalarPerVector_AK1,
                                                1,
                                                1,
                                                AThreadTransferSrcResetCoordinateAfterRun,
                                                true,
                                                NumGemmKPrefetchStage>(
                a_grid_desc_akb_ak0_m_ak1,
                make_multi_index(k_batch_id, 0, m_block_data_idx_on_grid, 0),
                a_element_op,
                a_block_desc_akb_ak0_m_ak1,
                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<I1, BK0PerBlock, NPerBlock, BK1>,
                                                BBlockTransferThreadClusterLengths_BK0_N_BK1,
                                                BBlockTransferThreadClusterArrangeOrder,
                                                ABDataType,
                                                ABDataType,
                                                decltype(b_grid_desc_bkb_bk0_n_bk1),
                                                decltype(b_block_desc_bkb_bk0_n_bk1),
                                                BBlockTransferSrcAccessOrder,
                                                Sequence<0, 2, 1, 3>,
                                                BBlockTransferSrcVectorDim,
                                                3,
                                                BBlockTransferSrcScalarPerVector,
                                                BBlockTransferDstScalarPerVector_BK1,
                                                1,
                                                1,
                                                BThreadTransferSrcResetCoordinateAfterRun,
                                                true,
                                                NumGemmKPrefetchStage>(
                b_grid_desc_bkb_bk0_n_bk1,
                make_multi_index(k_batch_id, 0, n_block_data_idx_on_grid, 0),
                b_element_op,
                b_block_desc_bkb_bk0_n_bk1,
                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
        constexpr auto lcm_AK1_BK1 = math::lcm(AK1, BK1);
        constexpr bool is_single_rate_mfma =
            (((is_same<ABDataType, half_t>::value || is_same<ABDataType, bhalf_t>::value) &&
              lcm_AK1_BK1 <= 4) ||
             (is_same<ABDataType, int8_t>::value && lcm_AK1_BK1 <= 8) ||
             ((is_same<ABDataType, f8_t>::value || is_same<ABDataType, bf8_t>::value) &&
              lcm_AK1_BK1 < 32))
                ? true
                : false;
        constexpr auto is_scale_mfma = false;
        constexpr index_t KPack      = math::max(lcm_AK1_BK1,
                                            MfmaSelector<ABDataType,
                                                              MPerXdl,
                                                              NPerXdl,
                                                              ABDataType,
                                                              is_single_rate_mfma,
                                                              is_scale_mfma>::selected_mfma.k_per_blk);

        auto blockwise_gemm = BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_Selector<
            BlockSize,
            ABDataType,
            ABDataType,
            AccDataType,
            decltype(a_block_desc_ak0_m_ak1),
            decltype(b_block_desc_bk0_n_bk1),
            MPerXdl,
            NPerXdl,
            MXdlPerWave,
            NXdlPerWave,
            KPack,
            LoopSched>();

        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<ABDataType*>(p_shared), a_block_desc_ak0_m_ak1.GetElementSpaceSize());

        auto b_block_buf = make_dynamic_buffer<AddressSpaceEnum::Lds>(
            static_cast<ABDataType*>(p_shared) + a_block_space_size_aligned,
            b_block_desc_bk0_n_bk1.GetElementSpaceSize());

        constexpr auto a_block_slice_copy_step = make_multi_index(0, KPerBlock / AK1, 0, 0);
        constexpr auto b_block_slice_copy_step = make_multi_index(0, KPerBlock / BK1, 0, 0);

        // gridwise GEMM pipeline
        const auto gridwise_gemm_pipeline =
            GridwiseGemmPipeline_v1_Selector<NumGemmKPrefetchStage, LoopSched>();

        const index_t num_k_block_main_loop = __builtin_amdgcn_readfirstlane(
            (a_grid_desc_akb_ak0_m_ak1.GetLength(I1) * a_grid_desc_akb_ak0_m_ak1.GetLength(I3)) /
            KPerBlock);

        gridwise_gemm_pipeline.template Run<HasMainKBlockLoop>(a_grid_desc_akb_ak0_m_ak1,
                                                               a_block_desc_akb_ak0_m_ak1,
                                                               a_blockwise_copy,
                                                               a_grid_buf,
                                                               a_block_buf,
                                                               a_block_slice_copy_step,
                                                               b_grid_desc_bkb_bk0_n_bk1,
                                                               b_block_desc_bkb_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
        Base::template RunMultiDEpilogue<EGlobalMemoryDataOperation, false, false, true>(
            blockwise_gemm,
            ds_grid_desc_mblock_mperblock_nblock_nperblock,
            e_grid_desc_mblock_mperblock_nblock_nperblock,
            c_thread_buf,
            block_work_idx[I1],
            block_work_idx[I2],
            p_shared,
            p_ds_grid,
            p_e_grid,
            cde_element_op);
    }

    template <bool HasMainKBlockLoop,
              typename AGridDesc_AKB_AK0_M_AK1,
              typename BGridDesc_BKB_BK0_N_BK1,
              typename Block2ETileMap>
    __device__ static void Run1(const ABDataType* __restrict__ p_a_grid,
                                const ABDataType* __restrict__ p_b_grid,
                                EDataType* __restrict__ p_e_grid,
                                void* __restrict__ p_shared,
                                const AElementwiseOperation& a_element_op,
                                const BElementwiseOperation& b_element_op,
                                const AGridDesc_AKB_AK0_M_AK1& a_grid_desc_akb_ak0_m_ak1,
                                const BGridDesc_BKB_BK0_N_BK1& b_grid_desc_bkb_bk0_n_bk1,
                                const DsGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock&,
                                const EGridDescriptor_MBlock_MPerBlock_NBlock_NPerBlock&
                                    e_grid_desc_mblock_mperblock_nblock_nperblock,
                                const Block2ETileMap& block_2_etile_map)
    {
        const auto a_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
            p_a_grid, a_grid_desc_akb_ak0_m_ak1.GetElementSpaceSize());

        const auto b_grid_buf = make_dynamic_buffer<AddressSpaceEnum::Global>(
            p_b_grid, b_grid_desc_bkb_bk0_n_bk1.GetElementSpaceSize());

        // divide block work by [M, N]
        const auto block_work_idx =
            block_2_etile_map.CalculateBottomIndex(make_multi_index(get_block_1d_id()));

        if(!block_2_etile_map.ValidCTileIndex(
               make_tuple(block_work_idx[I1], block_work_idx[I2]),
               make_tuple(e_grid_desc_mblock_mperblock_nblock_nperblock.GetLength(I0),
                          e_grid_desc_mblock_mperblock_nblock_nperblock.GetLength(I2))))
        {
            return;
        }

        // HACK: this force m/n_block_data_idx_on_grid into SGPR
        const index_t k_batch_id = block_work_idx[I0];

        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 = 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(get_device_arch());
        constexpr auto a_block_desc_akb_ak0_m_ak1 =
            Base::GetABlockDescriptor_AKB_AK0PerBlock_MPerBlock_AK1(a_block_desc_ak0_m_ak1);

        // B matrix in LDS memory, dst of blockwise copy
        constexpr auto b_block_desc_bk0_n_bk1 =
            GetBBlockDescriptor_BK0PerBlock_NPerBlock_BK1(get_device_arch());
        constexpr auto b_block_desc_bkb_bk0_n_bk1 =
            Base::GetBBlockDescriptor_BKB_BK0PerBlock_NPerBlock_BK1(b_block_desc_bk0_n_bk1);

        // A matrix blockwise copy
        auto a_blockwise_copy =
            ThreadGroupTensorSliceTransfer_v4r1<ThisThreadBlock,
                                                AElementwiseOperation,
                                                ck::tensor_operation::element_wise::PassThrough,
                                                InMemoryDataOperationEnum::Set,
                                                Sequence<I1, AK0PerBlock, MPerBlock, AK1>,
                                                ABlockTransferThreadClusterLengths_AK0_M_AK1,
                                                ABlockTransferThreadClusterArrangeOrder,
                                                ABDataType,
                                                ABDataType,
                                                decltype(a_grid_desc_akb_ak0_m_ak1),
                                                decltype(a_block_desc_akb_ak0_m_ak1),
                                                ABlockTransferSrcAccessOrder,
                                                Sequence<0, 2, 1, 3>,
                                                ABlockTransferSrcVectorDim,
                                                3,
                                                ABlockTransferSrcScalarPerVector,
                                                ABlockTransferDstScalarPerVector_AK1,
                                                1,
                                                1,
                                                AThreadTransferSrcResetCoordinateAfterRun,
                                                true,
                                                NumGemmKPrefetchStage>(
                a_grid_desc_akb_ak0_m_ak1,
                make_multi_index(k_batch_id, 0, m_block_data_idx_on_grid, 0),
                a_element_op,
                a_block_desc_akb_ak0_m_ak1,
                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<I1, BK0PerBlock, NPerBlock, BK1>,
                                                BBlockTransferThreadClusterLengths_BK0_N_BK1,
                                                BBlockTransferThreadClusterArrangeOrder,
                                                ABDataType,
                                                ABDataType,
                                                decltype(b_grid_desc_bkb_bk0_n_bk1),
                                                decltype(b_block_desc_bkb_bk0_n_bk1),
                                                BBlockTransferSrcAccessOrder,
                                                Sequence<0, 2, 1, 3>,
                                                BBlockTransferSrcVectorDim,
                                                3,
                                                BBlockTransferSrcScalarPerVector,
                                                BBlockTransferDstScalarPerVector_BK1,
                                                1,
                                                1,
                                                BThreadTransferSrcResetCoordinateAfterRun,
                                                true,
                                                NumGemmKPrefetchStage>(
                b_grid_desc_bkb_bk0_n_bk1,
                make_multi_index(k_batch_id, 0, n_block_data_idx_on_grid, 0),
                b_element_op,
                b_block_desc_bkb_bk0_n_bk1,
                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
        constexpr auto lcm_AK1_BK1 = math::lcm(AK1, BK1);
        constexpr bool is_single_rate_mfma =
            (((is_same<ABDataType, half_t>::value || is_same<ABDataType, bhalf_t>::value) &&
              lcm_AK1_BK1 <= 4) ||
             (is_same<ABDataType, int8_t>::value && lcm_AK1_BK1 <= 8) ||
             ((is_same<ABDataType, f8_t>::value || is_same<ABDataType, bf8_t>::value) &&
              lcm_AK1_BK1 < 32))
                ? true
                : false;
        constexpr auto is_scale_mfma = false;
        constexpr index_t KPack      = math::max(lcm_AK1_BK1,
                                            MfmaSelector<ABDataType,
                                                              MPerXdl,
                                                              NPerXdl,
                                                              ABDataType,
                                                              is_single_rate_mfma,
                                                              is_scale_mfma>::selected_mfma.k_per_blk);

        auto blockwise_gemm = BlockwiseGemmXdlops_k0mk1_k0nk1_m0n0m1n1m2m3m4n2_Selector<
            BlockSize,
            ABDataType,
            ABDataType,
            AccDataType,
            decltype(a_block_desc_ak0_m_ak1),
            decltype(b_block_desc_bk0_n_bk1),
            MPerXdl,
            NPerXdl,
            MXdlPerWave,
            NXdlPerWave,
            KPack,
            LoopSched>();

        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<ABDataType*>(p_shared), a_block_desc_ak0_m_ak1.GetElementSpaceSize());

        auto b_block_buf = make_dynamic_buffer<AddressSpaceEnum::Lds>(
            static_cast<ABDataType*>(p_shared) + a_block_space_size_aligned,
            b_block_desc_bk0_n_bk1.GetElementSpaceSize());

        constexpr auto a_block_slice_copy_step = make_multi_index(0, KPerBlock / AK1, 0, 0);
        constexpr auto b_block_slice_copy_step = make_multi_index(0, KPerBlock / BK1, 0, 0);

        // gridwise GEMM pipeline
        const auto gridwise_gemm_pipeline =
            GridwiseGemmPipeline_v1_Selector<NumGemmKPrefetchStage, LoopSched>();

        const index_t num_k_block_main_loop = __builtin_amdgcn_readfirstlane(
            (a_grid_desc_akb_ak0_m_ak1.GetLength(I1) * a_grid_desc_akb_ak0_m_ak1.GetLength(I3)) /
            KPerBlock);

        gridwise_gemm_pipeline.template Run<HasMainKBlockLoop>(a_grid_desc_akb_ak0_m_ak1,
                                                               a_block_desc_akb_ak0_m_ak1,
                                                               a_blockwise_copy,
                                                               a_grid_buf,
                                                               a_block_buf,
                                                               a_block_slice_copy_step,
                                                               b_grid_desc_bkb_bk0_n_bk1,
                                                               b_block_desc_bkb_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
        Base::template RunEpilogue<EGlobalMemoryDataOperation, false, false>(
            blockwise_gemm,
            e_grid_desc_mblock_mperblock_nblock_nperblock,
            c_thread_buf,
            block_work_idx[I1],
            block_work_idx[I2],
            p_shared,
            p_e_grid,
            ck::tensor_operation::element_wise::PassThrough{});
    }
};

} // namespace ck
