// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.

#include <iomanip>
#include <vector>
#include <iostream>
#include <stdexcept>

#include "ck/ck.hpp"
#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
#include "ck/tensor_operation/gpu/device/device_gemm_multiple_d.hpp"
#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"

#include "ck/library/tensor_operation_instance/gpu/gemm_add_add_fastgelu.hpp"

using F16 = ck::half_t;
using F32 = float;

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

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

using AElementOp   = PassThrough;
using BElementOp   = PassThrough;
using CDEElementOp = AddAddFastGelu;

using ADataType  = F16;
using BDataType  = F16;
using D0DataType = F16;
using D1DataType = F16;
using EDataType  = F16;

using ALayout  = Row;
using BLayout  = Col;
using D0Layout = Row;
using D1Layout = Row;
using ELayout  = Row;

struct SimpleDeviceMem
{
    SimpleDeviceMem() = delete;

    SimpleDeviceMem(std::size_t mem_size) : p_mem_{}
    {
        (void)hipMalloc(static_cast<void**>(&p_mem_), mem_size);
    }

    void* GetDeviceBuffer() { return p_mem_; }

    ~SimpleDeviceMem() { (void)hipFree(p_mem_); }

    void* p_mem_;
};

int main(int argc, char* argv[])
{
    // GEMM shape
    ck::index_t M = 3840;
    ck::index_t N = 4096;
    ck::index_t K = 4096;

    ck::index_t StrideA  = 4096;
    ck::index_t StrideB  = 4096;
    ck::index_t StrideD0 = 0;
    ck::index_t StrideD1 = 4096;
    ck::index_t StrideE  = 4096;

    if(argc == 1)
    {
        // use default case
    }
    else if(argc == 9)
    {
        M = std::stoi(argv[1]);
        N = std::stoi(argv[2]);
        K = std::stoi(argv[3]);

        StrideA  = std::stoi(argv[4]);
        StrideB  = std::stoi(argv[5]);
        StrideD0 = std::stoi(argv[6]);
        StrideD1 = std::stoi(argv[7]);
        StrideE  = std::stoi(argv[8]);
    }
    else
    {
        printf("arg1 to 8: M, N, K, StrideA, StrideB, StrideD0, StrideD1, StrideE\n");
        exit(0);
    }

    auto f_matrix_space_size =
        [](std::size_t nRow, std::size_t nCol, std::size_t stride, auto layout) {
            using Layout = decltype(layout);

            if constexpr(std::is_same<Layout, Row>::value)
            {
                return (nRow - 1) * stride + nCol;
            }
            else
            {
                return (nCol - 1) * stride + nRow;
            }
        };

    SimpleDeviceMem a_device_buf(sizeof(ADataType) * f_matrix_space_size(M, K, StrideA, ALayout{}));
    SimpleDeviceMem b_device_buf(sizeof(BDataType) * f_matrix_space_size(K, N, StrideB, BLayout{}));
    SimpleDeviceMem d0_m_n_device_buf(sizeof(D0DataType) *
                                      f_matrix_space_size(M, N, StrideD0, D0Layout{}));
    SimpleDeviceMem d1_m_n_device_buf(sizeof(D1DataType) *
                                      f_matrix_space_size(M, N, StrideD1, D1Layout{}));
    SimpleDeviceMem e_device_buf(sizeof(EDataType) * f_matrix_space_size(M, N, StrideE, ELayout{}));

    using DeviceOp = ck::tensor_operation::device::DeviceGemmMultipleD<
        ALayout,
        BLayout,
        ck::Tuple<D0Layout, D1Layout>,
        ELayout,
        ADataType,
        BDataType,
        ck::Tuple<D0DataType, D1DataType>,
        EDataType,
        ck::tensor_operation::element_wise::PassThrough,
        ck::tensor_operation::element_wise::PassThrough,
        ck::tensor_operation::element_wise::AddAddFastGelu>;

    // get device op instances
    const auto op_ptrs = ck::tensor_operation::device::instance::DeviceOperationInstanceFactory<
        DeviceOp>::GetInstances();

    std::cout << "found " << op_ptrs.size() << " instances" << std::endl;

    const auto a_element_op   = AElementOp{};
    const auto b_element_op   = BElementOp{};
    const auto cde_element_op = CDEElementOp{};

    // get generic instance
    auto& op_ptr = op_ptrs[0];

    std::cout << "Run the generic instance without timing: " << op_ptr->GetTypeString()
              << std::endl;

    // run the generic instance
    auto argument_ptr =
        op_ptr->MakeArgumentPointer(a_device_buf.GetDeviceBuffer(),
                                    b_device_buf.GetDeviceBuffer(),
                                    std::array<const void*, 2>{d0_m_n_device_buf.GetDeviceBuffer(),
                                                               d1_m_n_device_buf.GetDeviceBuffer()},
                                    e_device_buf.GetDeviceBuffer(),
                                    M,
                                    N,
                                    K,
                                    StrideA,
                                    StrideB,
                                    std::array<ck::index_t, 2>{StrideD0, StrideD1},
                                    StrideE,
                                    a_element_op,
                                    b_element_op,
                                    cde_element_op);

    auto invoker_ptr = op_ptr->MakeInvokerPointer();

    if(op_ptr->IsSupportedArgument(argument_ptr.get()))
    {
        invoker_ptr->Run(argument_ptr.get(), StreamConfig{nullptr, false});
    }
    else
    {
        throw std::runtime_error(
            "Generic instance should be suitable for various input lengths/strides");
    }

    std::cout << "Done" << std::endl;

    return 0;
}
