// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.

#include <iostream>
#include <numeric>
#include <initializer_list>
#include <cstdlib>

#include "profiler/include/profile_gemm_bias_relu_add_impl.hpp"

enum struct GemmMatrixLayout
{
    MK_KN_MN, // 0
    MK_NK_MN, // 1
    KM_KN_MN, // 2
    KM_NK_MN, // 3
    MK_KN_NM, // 4
    MK_NK_NM, // 5
    KM_KN_NM, // 6
    KM_NK_NM, // 7
};

enum struct GemmDataType
{
    F32_F32_F32, // 0
    F16_F16_F16, // 1
};

int profile_gemm_bias_relu_add(int argc, char* argv[])
{
    if(!(argc == 15 || argc == 16))
    {
        printf("arg1: tensor operation (gemm: GEMM+Bias+ReLU+Add)\n");
        printf("arg2: data type (0: fp32; 1: fp16)\n");
        printf("arg3: matrix layout (0: A[m, k] * B[k, n] = C[m, n];\n");
        printf("                     1: A[m, k] * B[n, k] = C[m, n];\n");
        printf("                     2: A[k, m] * B[k, n] = C[m, n];\n");
        printf("                     3: A[k, m] * B[n, k] = C[m, n])\n");
        printf("arg4: verification (0: no; 1: yes)\n");
        printf("arg5: initialization (0: no init; 1: integer value; 2: decimal value)\n");
        printf("arg6: print tensor value (0: no; 1: yes)\n");
        printf("arg7: time kernel (0=n0, 1=yes)\n");
        printf("arg8 to 14: M, N, K, StrideA, StrideB, StrideC, StrideC1\n");
        printf("arg15: split k into  mulitiple batch\n");
        exit(1);
    }

    const auto data_type       = static_cast<GemmDataType>(std::stoi(argv[2]));
    const auto layout          = static_cast<GemmMatrixLayout>(std::stoi(argv[3]));
    const bool do_verification = std::stoi(argv[4]);
    const int init_method      = std::stoi(argv[5]);
    const bool do_log          = std::stoi(argv[6]);
    const bool time_kernel     = std::stoi(argv[7]);

    const int M = std::stoi(argv[8]);
    const int N = std::stoi(argv[9]);
    const int K = std::stoi(argv[10]);

    const int StrideA  = std::stoi(argv[11]);
    const int StrideB  = std::stoi(argv[12]);
    const int StrideC  = std::stoi(argv[13]);
    const int StrideC1 = std::stoi(argv[14]);

    if(data_type == GemmDataType::F16_F16_F16 && layout == GemmMatrixLayout::MK_KN_MN)
    {
        ck::profiler::profile_gemm_bias_relu_add_impl<ck::half_t,
                                                      ck::half_t,
                                                      ck::half_t,
                                                      ck::tensor_layout::gemm::RowMajor,
                                                      ck::tensor_layout::gemm::RowMajor,
                                                      ck::tensor_layout::gemm::RowMajor>(
            do_verification,
            init_method,
            do_log,
            time_kernel,
            M,
            N,
            K,
            (StrideA < 0) ? K : StrideA,
            (StrideB < 0) ? N : StrideB,
            (StrideC < 0) ? N : StrideC,
            (StrideC1 < 0) ? N : StrideC1);
    }
    else if(data_type == GemmDataType::F16_F16_F16 && layout == GemmMatrixLayout::MK_NK_MN)
    {
        ck::profiler::profile_gemm_bias_relu_add_impl<ck::half_t,
                                                      ck::half_t,
                                                      ck::half_t,
                                                      ck::tensor_layout::gemm::RowMajor,
                                                      ck::tensor_layout::gemm::ColumnMajor,
                                                      ck::tensor_layout::gemm::RowMajor>(
            do_verification,
            init_method,
            do_log,
            time_kernel,
            M,
            N,
            K,
            (StrideA < 0) ? K : StrideA,
            (StrideB < 0) ? K : StrideB,
            (StrideC < 0) ? N : StrideC,
            (StrideC1 < 0) ? N : StrideC1);
    }
    else if(data_type == GemmDataType::F16_F16_F16 && layout == GemmMatrixLayout::KM_KN_MN)
    {
        ck::profiler::profile_gemm_bias_relu_add_impl<ck::half_t,
                                                      ck::half_t,
                                                      ck::half_t,
                                                      ck::tensor_layout::gemm::ColumnMajor,
                                                      ck::tensor_layout::gemm::RowMajor,
                                                      ck::tensor_layout::gemm::RowMajor>(
            do_verification,
            init_method,
            do_log,
            time_kernel,
            M,
            N,
            K,
            (StrideA < 0) ? M : StrideA,
            (StrideB < 0) ? N : StrideB,
            (StrideC < 0) ? N : StrideC,
            (StrideC1 < 0) ? N : StrideC1);
    }
    else if(data_type == GemmDataType::F16_F16_F16 && layout == GemmMatrixLayout::KM_NK_MN)
    {
        ck::profiler::profile_gemm_bias_relu_add_impl<ck::half_t,
                                                      ck::half_t,
                                                      ck::half_t,
                                                      ck::tensor_layout::gemm::ColumnMajor,
                                                      ck::tensor_layout::gemm::ColumnMajor,
                                                      ck::tensor_layout::gemm::RowMajor>(
            do_verification,
            init_method,
            do_log,
            time_kernel,
            M,
            N,
            K,
            (StrideA < 0) ? M : StrideA,
            (StrideB < 0) ? K : StrideB,
            (StrideC < 0) ? N : StrideC,
            (StrideC1 < 0) ? N : StrideC1);
    }
    else
    {
        throw std::runtime_error("wrong! this data_type & layout is not implemented");
    }

    return 0;
}
