composable_kernel/example/ck_tile/16_batched_gemm/batched_gemm.cpp

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

#include <hip/hip_runtime.h>

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

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

template <typename GemmConfig,
          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 batched_gemm(const ck_tile::BatchedGemmHostArgs& args, const ck_tile::stream_config& s)
{
    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 = GemmConfig::M_Warp;
    constexpr ck_tile::index_t N_Warp = GemmConfig::N_Warp;
    constexpr ck_tile::index_t K_Warp = GemmConfig::K_Warp;

    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;

    constexpr bool DoubleSmemBuffer = GemmConfig::DoubleSmemBuffer;

    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 GemmUniversalTraits = ck_tile::TileGemmUniversalTraits<kPadM,
                                                                 kPadN,
                                                                 kPadK,
                                                                 DoubleSmemBuffer,
                                                                 ALayout,
                                                                 BLayout,
                                                                 CLayout,
                                                                 TransposeC>;
    constexpr auto scheduler  = GemmConfig::Scheduler;

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

    using GemmPipeline = typename PipelineTypeTraits<GemmConfig::Pipeline>::template GemmPipeline<
        UniversalGemmProblem>;
    const auto Run = [&](const auto memory_operation_) {
        constexpr auto memory_operation = memory_operation_.value;

        using GemmEpilogue = ck_tile::CShuffleEpilogue<
            ck_tile::CShuffleEpilogueProblem<ADataType,
                                             BDataType,
                                             DsDataType,
                                             AccDataType,
                                             CDataType,
                                             DsLayout,
                                             CLayout,
                                             CDEElementWise,
                                             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::BatchedGemmKernel<TilePartitioner, GemmPipeline, GemmEpilogue>;
        auto kargs   = Kernel::MakeKernelArgs(args);

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

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

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

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

    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>{});
    }
}

#include "run_batched_gemm_example.inc"

int main(int argc, char* argv[])
{
    try
    {
#if CK_TILE_USE_WMMA
        return !run_batched_gemm_example<GemmConfigV3_Wmma>(argc, argv);
#else
        return !run_batched_gemm_example<GemmConfigV3>(argc, argv);
#endif
    }
    catch(const std::runtime_error& e)
    {
        std::cerr << "Runtime error: " << e.what() << '\n';
        return EXIT_FAILURE;
    }
}