// 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 "ck_tile/host.hpp"
#include "test_gemm_pipeline_smoke_util.hpp"
#include "test_gemm_pipeline_smoke_run_test.inc"

struct GemmConfig_Mfma : public GemmConfigBase
{
    static constexpr ck_tile::index_t M_Tile = 256;
    static constexpr ck_tile::index_t N_Tile = 256;
    static constexpr ck_tile::index_t K_Tile = 64;

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

struct GemmConfig_Wmma : public GemmConfigBase
{
    static constexpr ck_tile::index_t M_Tile = 128;
    static constexpr ck_tile::index_t N_Tile = 128;
    static constexpr ck_tile::index_t K_Tile = 64;

    static constexpr ck_tile::index_t M_Warp_Tile = 16;
    static constexpr ck_tile::index_t N_Warp_Tile = 16;
    static constexpr ck_tile::index_t K_Warp_Tile = 16;
};

template <typename GemmConfig,
          typename ADataType,
          typename BDataType,
          typename DsDataType,
          typename AccDataType,
          typename CDataType,
          typename ALayout,
          typename BLayout,
          typename DsLayout,
          typename CLayout,
          bool Persistent,
          typename CDEElementWise>
float gemm(const ck_tile::GemmHostArgs& args, const ck_tile::stream_config& s)

{
    if constexpr(Persistent)
        std::cout << "WARNING: Ignoring persistent kernel option for basic gemm." << std::endl;
    // The kPadM, kPadN, kPadK & kBlockPerCu should also come from the Codegen part.
    constexpr bool kPadM = false;
    constexpr bool kPadN = false;
    constexpr bool kPadK = false;

    constexpr int kBlockPerCu = 1;

    // This part comes from the Codegen
    constexpr ck_tile::index_t M_Tile = GemmConfig::M_Tile;
    constexpr ck_tile::index_t N_Tile = GemmConfig::N_Tile;
    constexpr ck_tile::index_t K_Tile = GemmConfig::K_Tile;

    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 = GemmConfig::M_Warp_Tile;
    constexpr ck_tile::index_t N_Warp_Tile = GemmConfig::N_Warp_Tile;
    constexpr ck_tile::index_t K_Warp_Tile = GemmConfig::K_Warp_Tile;

    using CodegenGemmShape =
        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::GemmTile1DPartitioner<CodegenGemmShape>;

    using CodegenGemmTraits =
        ck_tile::TileGemmTraits<kPadM, kPadN, kPadK, ALayout, BLayout, CLayout>;

    using CodegenPipelineProblem = ck_tile::
        GemmPipelineProblem<ADataType, BDataType, AccDataType, CodegenGemmShape, CodegenGemmTraits>;

    using CodegenGemmPipeline = ck_tile::GemmPipelineAGmemBGmemCRegV1<CodegenPipelineProblem>;

    const auto Run = [&](const auto memory_operation_) {
        constexpr auto memory_operation = memory_operation_.value;

        using GemmEpilogue = ck_tile::CShuffleEpilogue<
            ck_tile::CShuffleEpilogueProblem<ADataType,
                                             BDataType,
                                             ck_tile::tuple<>,
                                             AccDataType,
                                             CDataType,
                                             ck_tile::tuple<>,
                                             CLayout,
                                             ck_tile::element_wise::PassThrough,
                                             TilePartitioner::MPerBlock,
                                             TilePartitioner::NPerBlock,
                                             M_Warp,
                                             N_Warp,
                                             M_Warp_Tile,
                                             N_Warp_Tile,
                                             K_Warp_Tile,
                                             CodegenPipelineProblem::TransposeC,
                                             memory_operation>>;

        // ToDo: Will add the codegen part to test different pipeline policies in GEMM.
        // Now we only use the BlockGemmASmemBSmemCRegV1DefaultPolicy.
        using Kernel = ck_tile::GemmKernel<TilePartitioner, CodegenGemmPipeline, GemmEpilogue>;
        auto kargs   = Kernel::MakeKernelArgs(args);

        const dim3 grids  = Kernel::GridSize(args.M, args.N, args.k_batch);
        const dim3 blocks = Kernel::BlockSize();

        if(!Kernel::IsSupportedArgument(kargs))
        {
            throw ArgumentsNotSupportedException(
                "Wrong! Arguments not supported! Skipping gemm!\n");
        }

        if(s.log_level_ > 0)
        {
            std::cout << "Launching kernel with args: " << Kernel::GetName() << '\n'
                      << "shape: " << CodegenGemmShape::GetName() << '\n'
                      << "problem: " << CodegenPipelineProblem::GetName() << '\n'
                      << "pipeline: " << CodegenGemmPipeline::GetName() << '\n'
                      << "grid: {" << grids.x << ", " << grids.y << ", " << grids.z << "}"
                      << ", blocks: {" << blocks.x << ", " << blocks.y << ", " << blocks.z << "}"
                      << std::endl;
        }

        float ave_time = ck_tile::launch_kernel(
            s, ck_tile::make_kernel<kBlockPerCu>(Kernel{}, grids, blocks, 0, kargs));

        return ave_time;
    };

    if(args.k_batch == 1)
    {
        return Run(ck_tile::integral_constant<ck_tile::memory_operation_enum,
                                              ck_tile::memory_operation_enum::set>{});
    }
    else
    {
        return Run(ck_tile::integral_constant<ck_tile::memory_operation_enum,
                                              ck_tile::memory_operation_enum::atomic_add>{});
    }
}

template <typename GemmConfig,
          typename APrecType,
          typename BPrecType = APrecType,
          typename CPrecType = APrecType>
bool run_gemm_test_prec_type(std::string a_layout,
                             std::string b_layout,
                             ck_tile::ArgParser& arg_parser)
{
    using Row = ck_tile::tensor_layout::gemm::RowMajor;
    using Col = ck_tile::tensor_layout::gemm::ColumnMajor;

    if constexpr(std::is_same_v<BPrecType, ck_tile::pk_int4_t>)
    {
        if(a_layout == "R" && b_layout == "C")
        {
            return run_gemm_test_with_layouts<GemmConfig, APrecType, BPrecType, CPrecType>(
                arg_parser, Row{}, Col{}, Row{});
        }
        else if(a_layout == "C" && b_layout == "C")
        {
            return run_gemm_test_with_layouts<GemmConfig, APrecType, BPrecType, CPrecType>(
                arg_parser, Col{}, Col{}, Row{});
        }
        else
        {
            throw std::runtime_error("Unsupported memory layout for the input matrices when "
                                     "BPrecType is ck_tile::pk_int4_t!");
        }
    }
    else
    {
        if(a_layout == "R" && b_layout == "C")
        {
            return run_gemm_test_with_layouts<GemmConfig, APrecType, BPrecType, CPrecType>(
                arg_parser, Row{}, Col{}, Row{});
        }
        else if(a_layout == "R" && b_layout == "R")
        {
            return run_gemm_test_with_layouts<GemmConfig, APrecType, BPrecType, CPrecType>(
                arg_parser, Row{}, Row{}, Row{});
        }
        else if(a_layout == "C" && b_layout == "R")
        {
            return run_gemm_test_with_layouts<GemmConfig, APrecType, BPrecType, CPrecType>(
                arg_parser, Col{}, Row{}, Row{});
        }
        else if(a_layout == "C" && b_layout == "C")
        {
            return run_gemm_test_with_layouts<GemmConfig, APrecType, BPrecType, CPrecType>(
                arg_parser, Col{}, Col{}, Row{});
        }
        else
        {
            throw std::runtime_error("Unsupported memory layout for the input matrices!");
        }
    }
}

template <typename GemmConfig, typename APrecType, typename BPrecType, typename CPrecType>
bool run_gemm_test(int argc, char* argv[])
{
    auto [result, arg_parser] = create_args(argc, argv);
    if(!result)
        return false;

    std::string a_layout = arg_parser.get_str("a_layout");
    std::string b_layout = arg_parser.get_str("b_layout");

    return run_gemm_test_prec_type<GemmConfig, APrecType, BPrecType, CPrecType>(
        a_layout, b_layout, arg_parser);
}

template <typename APrecType, typename BPrecType = APrecType, typename CPrecType = APrecType>
bool run_gemm_combinations()
{
    // Define possible values for each parameter
    std::vector<std::string> m_values = {"128", "1024"};
    std::vector<std::string> n_values = {"128", "2048"};
    std::vector<std::string> k_values = {"64", "128"};

    // We'll store all our arguments as strings first
    std::vector<std::string> arg_strings = {"./bin/tile_example_gemm_basic",
                                            "", // m placeholder
                                            "", // n placeholder
                                            "", // k placeholder
                                            "-stride_a=0",
                                            "-stride_b=0",
                                            "-stride_c=0",
                                            "-v=2",
                                            "-warmup=0",
                                            "-repeat=1"};

    // Create an array of const char pointers for argv
    constexpr size_t ARG_COUNT   = 10;
    constexpr size_t ARG_MAX_LEN = 64;
    char args[ARG_COUNT][ARG_MAX_LEN];
    char* argv[ARG_COUNT];

    // Run all combinations
    bool is_success = true;
    for(const auto& m : m_values)
    {
        arg_strings[1] = "-m=" + m;

        for(const auto& n : n_values)
        {
            arg_strings[2] = "-n=" + n;

            for(const auto& k : k_values)
            {
                arg_strings[3] = "-k=" + k;

                // Set up the argv array with pointers to the string data
                for(size_t i = 0; i < ARG_COUNT; i++)
                {
                    strncpy(args[i], arg_strings[i].c_str(), ARG_MAX_LEN);
                    argv[i] = args[i];
                }

                std::cout << "Arguments received: ";
                for(size_t i = 1; i < ARG_COUNT; ++i)
                {
                    std::cout << argv[i] << " ";
                }
                std::cout << std::endl;

                // Call the function with the current configuration
                try
                {
#if CK_TILE_USE_WMMA
                    is_success = run_gemm_test<GemmConfig_Wmma, APrecType, BPrecType, CPrecType>(
                                     ARG_COUNT, argv) &&
                                 is_success;
#else
                    is_success = run_gemm_test<GemmConfig_Mfma, APrecType, BPrecType, CPrecType>(
                                     ARG_COUNT, argv) &&
                                 is_success;
#endif
                }
                catch(const ArgumentsNotSupportedException& e)
                {
                    std::cerr << "Caught ArgumentsNotSupportedException: " << e.what() << '\n';
                    // ArgumentsNotSupportedException  is not an error. Do not change is_success
                }
                catch(const std::runtime_error& e)
                {
                    std::cerr << "Caught runtime error: " << e.what() << '\n';
                    is_success = false;
                }
            }
        }
    }
    return is_success;
}
