// SPDX-License-Identifier: MIT
// Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.

#include <hip/hip_runtime.h>

#include <cstring>
#include <iostream>
#include <ostream>
#include <string>
#include <tuple>
#include <memory>

#include "ck_tile/core.hpp"
#include "ck_tile/ops/epilogue.hpp"
#include "ck_tile/ops/gemm.hpp"
#include "ck_tile/host.hpp"
#include "grouped_gemm.hpp"

template <typename ADataType,
          typename BDataType,
          typename DsDataType,
          typename AccDataType,
          typename CDataType,
          typename ALayout,
          typename BLayout,
          typename DsLayout,
          typename CLayout,
          typename CDEElementWise = ck_tile::element_wise::PassThrough>
float grouped_gemm(const std::vector<grouped_gemm_kargs>& gemm_descs,
                   const ck_tile::stream_config& s,
                   void* kargs_ptr)
{
#if(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_MEMORY)
    // Memory friendly for Interwave scheduler
    constexpr ck_tile::index_t M_Tile = 128;
    constexpr ck_tile::index_t N_Tile = 32;
    constexpr ck_tile::index_t K_Tile = 64;

    constexpr ck_tile::index_t M_Warp = 4;
    constexpr ck_tile::index_t N_Warp = 1;
    constexpr ck_tile::index_t K_Warp = 1;

    constexpr ck_tile::index_t M_Warp_Tile = 32;
    constexpr ck_tile::index_t N_Warp_Tile = 32;
    constexpr ck_tile::index_t K_Warp_Tile = 8;

    constexpr bool DoubleSmemBuffer = false;
#endif
#if(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE_V3)
    // Compute friendly for Intrawave scheduler
    constexpr ck_tile::index_t M_Tile = 256;
    constexpr ck_tile::index_t N_Tile = 256;
    constexpr ck_tile::index_t K_Tile = 64;

    constexpr ck_tile::index_t M_Warp = 2;
    constexpr ck_tile::index_t N_Warp = 2;
    constexpr ck_tile::index_t K_Warp = 1;

    constexpr ck_tile::index_t M_Warp_Tile = 32;
    constexpr ck_tile::index_t N_Warp_Tile = 32;
    constexpr ck_tile::index_t K_Warp_Tile = 16;

    constexpr bool DoubleSmemBuffer = false;
#elif(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE_V4)
    // Compute friendly for Intrawave scheduler
    // Using the ping pong reader in the lds level
    constexpr ck_tile::index_t M_Tile = 256;
    constexpr ck_tile::index_t N_Tile = 256;
    constexpr ck_tile::index_t K_Tile = 32;

    constexpr ck_tile::index_t M_Warp = 2;
    constexpr ck_tile::index_t N_Warp = 2;
    constexpr ck_tile::index_t K_Warp = 1;

    constexpr ck_tile::index_t M_Warp_Tile = 32;
    constexpr ck_tile::index_t N_Warp_Tile = 32;
    constexpr ck_tile::index_t K_Warp_Tile = 16;

    constexpr bool DoubleSmemBuffer = true;
#endif

    constexpr bool kPadM = false;
    constexpr bool kPadN = false;
    constexpr bool kPadK = false;

    constexpr bool TransposeC = false;

    constexpr int kBlockPerCu                         = 1;
    constexpr ck_tile::index_t TileParitionerGroupNum = 8;
    constexpr ck_tile::index_t TileParitionerM01      = 4;

    using GemmShape =
        ck_tile::TileGemmShape<ck_tile::sequence<M_Tile, N_Tile, K_Tile>,
                               ck_tile::sequence<M_Warp, N_Warp, K_Warp>,
                               ck_tile::sequence<M_Warp_Tile, N_Warp_Tile, K_Warp_Tile>>;
    using TilePartitioner = ck_tile::
        GemmSpatiallyLocalTilePartitioner<GemmShape, TileParitionerGroupNum, TileParitionerM01>;

    using Traits = ck_tile::TileGemmTraits<kPadM, kPadN, kPadK, ALayout, BLayout, CLayout>;
    using GemmUniversalTraits = ck_tile::TileGemmUniversalTraits<kPadM,
                                                                 kPadN,
                                                                 kPadK,
                                                                 DoubleSmemBuffer,
                                                                 ALayout,
                                                                 BLayout,
                                                                 CLayout,
                                                                 TransposeC>;
    using GemmPipelineProblem =
        ck_tile::GemmPipelineProblem<ADataType, BDataType, AccDataType, GemmShape, Traits>;

    using BaseGemmPipeline = UNIVERSAL_GEMM_PIPELINE<GemmPipelineProblem>;

    const ck_tile::index_t k_grain     = gemm_descs[0].k_batch * K_Tile;
    const ck_tile::index_t K_split     = (gemm_descs[0].K + k_grain - 1) / k_grain * K_Tile;
    const ck_tile::index_t num_loop    = TilePartitioner::GetLoopNum(K_split);
    const bool has_hot_loop            = BaseGemmPipeline::BlockHasHotloop(num_loop);
    const ck_tile::TailNumber tail_num = BaseGemmPipeline::GetBlockLoopTailNum(num_loop);

    float ave_time{0};

    const auto Run = [&](const auto has_hot_loop_,
                         const auto tail_number_,
                         const auto memory_operation_) {
        constexpr bool has_hot_loop_v   = has_hot_loop_.value;
        constexpr auto tail_number_v    = tail_number_.value;
        constexpr auto scheduler        = GEMM_PIPELINE_SCHEDULER;
        constexpr auto memory_operation = memory_operation_.value;

        using UniversalGemmProblem = ck_tile::UniversalGemmPipelineProblem<ADataType,
                                                                           BDataType,
                                                                           AccDataType,
                                                                           GemmShape,
                                                                           GemmUniversalTraits,
                                                                           scheduler,
                                                                           has_hot_loop_v,
                                                                           tail_number_v>;

        using GemmPipeline = GEMM_PIPELINE<UniversalGemmProblem>;
        using GemmEpilogue = ck_tile::CShuffleEpilogue<
            ck_tile::CShuffleEpilogueProblem<ADataType,
                                             BDataType,
                                             DsDataType,
                                             AccDataType,
                                             CDataType,
                                             DsLayout,
                                             CLayout,
                                             CDEElementWise,
                                             GemmPipelineProblem::kBlockSize,
                                             TilePartitioner::MPerBlock,
                                             TilePartitioner::NPerBlock,
                                             M_Warp,
                                             N_Warp,
                                             M_Warp_Tile,
                                             N_Warp_Tile,
                                             K_Warp_Tile,
                                             UniversalGemmProblem::TransposeC,
                                             memory_operation>>;
        using Kernel = ck_tile::GroupedGemmKernel<TilePartitioner, GemmPipeline, GemmEpilogue>;
        auto kargs   = Kernel::MakeKargs(gemm_descs);
        if(!Kernel::IsSupportedArgument(kargs))
        {
            throw std::runtime_error("Kernel arguments not supported!");
        }

        constexpr dim3 blocks = Kernel::BlockSize();
        const dim3 grids      = Kernel::GridSize(gemm_descs);

        HIP_CHECK_ERROR(hipMemcpyWithStream(kargs_ptr,
                                            kargs.data(),
                                            get_workspace_size(gemm_descs),
                                            hipMemcpyHostToDevice,
                                            s.stream_id_));

        if(s.log_level_ > 0)
        {
            std::cout << "Launching kernel: " << Kernel::GetName() << " with args:"
                      << " grid: {" << grids.x << ", " << grids.y << ", " << grids.z << "}"
                      << ", blocks: {" << blocks.x << ", " << blocks.y << ", " << blocks.z << "}"
                      << std::endl;
        }

        ave_time =
            ck_tile::launch_kernel(s,
                                   ck_tile::make_kernel<blocks.x, kBlockPerCu>(
                                       Kernel{},
                                       grids,
                                       blocks,
                                       0,
                                       ck_tile::cast_pointer_to_constant_address_space(kargs_ptr),
                                       gemm_descs.size()));

        return ave_time;
    };

    const auto RunSplitk = [&](const auto has_hot_loop_, const auto tail_number_) {
        if(gemm_descs[0].k_batch == 1)
        {
            Run(has_hot_loop_,
                tail_number_,
                ck_tile::integral_constant<ck_tile::memory_operation_enum,
                                           ck_tile::memory_operation_enum::set>{});
        }
        else
        {
            Run(has_hot_loop_,
                tail_number_,
                ck_tile::integral_constant<ck_tile::memory_operation_enum,
                                           ck_tile::memory_operation_enum::atomic_add>{});
        }
    };

    BaseGemmPipeline::TailHandler(RunSplitk, has_hot_loop, tail_num);

    return ave_time;
}

#include "run_grouped_gemm_example.inc"

constexpr bool Persistent = false;
int main(int argc, char* argv[])
{
    try
    {
        return !run_grouped_gemm_example<Persistent>(argc, argv);
    }
    catch(const std::runtime_error& e)
    {
        std::cerr << "Runtime error: " << e.what() << '\n';
        return EXIT_FAILURE;
    }
}