gemm_fp32.cpp

#include <algorithm>
#include <cstdlib>
#include <half.hpp>
#include <iostream>
#include <numeric>
#include <tuple>
#include <vector>

#include "gemm_util.hpp"
#include "config.hpp"
#include "print.hpp"
#include "device.hpp"
#include "host_tensor.hpp"
#include "host_tensor_generator.hpp"
#include "host_gemm.hpp"
#include "device_tensor.hpp"
#include "device_gemm_xdl.hpp"
#include "device_gemm_xdl_c_shuffle.hpp"
#include "element_wise_operation.hpp"
#include "reference_gemm.hpp"
#include "gemm_specialization.hpp"

using PassThrough = ck::tensor_operation::element_wise::PassThrough;

using DeviceGemmNoOpPtr =
    ck::tensor_operation::device::DeviceGemmPtr<ck::tensor_operation::element_wise::PassThrough,
                                                ck::tensor_operation::element_wise::PassThrough,
                                                ck::tensor_operation::element_wise::PassThrough>;

namespace ck {
namespace tensor_operation {
namespace device {
namespace device_gemm_instance {

void add_device_gemm_xdl_f32_f32_f32_km_kn_mn_instances(std::vector<DeviceGemmNoOpPtr>&);
void add_device_gemm_xdl_f32_f32_f32_km_nk_mn_instances(std::vector<DeviceGemmNoOpPtr>&);
void add_device_gemm_xdl_f32_f32_f32_mk_nk_mn_instances(std::vector<DeviceGemmNoOpPtr>&);
void add_device_gemm_xdl_f32_f32_f32_mk_kn_mn_instances(std::vector<DeviceGemmNoOpPtr>&);

void add_device_gemm_xdl_c_shuffle_f32_f32_f32_km_kn_mn_instances(std::vector<DeviceGemmNoOpPtr>&);
void add_device_gemm_xdl_c_shuffle_f32_f32_f32_km_nk_mn_instances(std::vector<DeviceGemmNoOpPtr>&);
void add_device_gemm_xdl_c_shuffle_f32_f32_f32_mk_nk_mn_instances(std::vector<DeviceGemmNoOpPtr>&);
void add_device_gemm_xdl_c_shuffle_f32_f32_f32_mk_kn_mn_instances(std::vector<DeviceGemmNoOpPtr>&);

} // namespace device_gemm_instance
} // namespace device
} // namespace tensor_operation
} // namespace ck

int main()
{
    using ADataType = float;
    using BDataType = float;
    using CDataType = float;

    using RowMajor    = ck::tensor_layout::gemm::RowMajor;
    using ColumnMajor = ck::tensor_layout::gemm::ColumnMajor;

    bool res = true;
    std::vector<DeviceGemmNoOpPtr> gemmPtrs;
    ck::tensor_operation::device::device_gemm_instance::
        add_device_gemm_xdl_f32_f32_f32_km_kn_mn_instances(gemmPtrs);
    ck::tensor_operation::device::device_gemm_instance::
        add_device_gemm_xdl_c_shuffle_f32_f32_f32_km_kn_mn_instances(gemmPtrs);

    for(auto& gemmPtr : gemmPtrs)
    {
        res &= ck::gemm_util::TestGemm<DeviceGemmNoOpPtr,
                                       ADataType,
                                       BDataType,
                                       CDataType,
                                       ColumnMajor,
                                       RowMajor,
                                       RowMajor,
                                       PassThrough,
                                       PassThrough,
                                       PassThrough>{}(gemmPtr);
    }

    gemmPtrs.clear();
    ck::tensor_operation::device::device_gemm_instance::
        add_device_gemm_xdl_f32_f32_f32_km_nk_mn_instances(gemmPtrs);
    ck::tensor_operation::device::device_gemm_instance::
        add_device_gemm_xdl_c_shuffle_f32_f32_f32_km_nk_mn_instances(gemmPtrs);

    for(auto& gemmPtr : gemmPtrs)
    {
        res &= ck::gemm_util::TestGemm<DeviceGemmNoOpPtr,
                                       ADataType,
                                       BDataType,
                                       CDataType,
                                       ColumnMajor,
                                       ColumnMajor,
                                       RowMajor,
                                       PassThrough,
                                       PassThrough,
                                       PassThrough>{}(gemmPtr);
    }

    gemmPtrs.clear();
    ck::tensor_operation::device::device_gemm_instance::
        add_device_gemm_xdl_f32_f32_f32_mk_kn_mn_instances(gemmPtrs);
    ck::tensor_operation::device::device_gemm_instance::
        add_device_gemm_xdl_c_shuffle_f32_f32_f32_mk_kn_mn_instances(gemmPtrs);

    for(auto& gemmPtr : gemmPtrs)
    {
        res &= ck::gemm_util::TestGemm<DeviceGemmNoOpPtr,
                                       ADataType,
                                       BDataType,
                                       CDataType,
                                       RowMajor,
                                       RowMajor,
                                       RowMajor,
                                       PassThrough,
                                       PassThrough,
                                       PassThrough>{}(gemmPtr);
    }

    gemmPtrs.clear();
    ck::tensor_operation::device::device_gemm_instance::
        add_device_gemm_xdl_f32_f32_f32_mk_nk_mn_instances(gemmPtrs);
    ck::tensor_operation::device::device_gemm_instance::
        add_device_gemm_xdl_c_shuffle_f32_f32_f32_mk_nk_mn_instances(gemmPtrs);

    for(auto& gemmPtr : gemmPtrs)
    {
        res &= ck::gemm_util::TestGemm<DeviceGemmNoOpPtr,
                                       ADataType,
                                       BDataType,
                                       CDataType,
                                       RowMajor,
                                       ColumnMajor,
                                       RowMajor,
                                       PassThrough,
                                       PassThrough,
                                       PassThrough>{}(gemmPtr);
    }

    std::cout << "TestGemm ..... " << (res ? "SUCCESS" : "FAILURE") << std::endl;
    return res ? 0 : 1;
}