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

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

#include "ck/ck.hpp"
#include "ck/stream_config.hpp"
#include "ck/library/utility/check_err.hpp"
#include "ck/library/utility/device_memory.hpp"
#include "ck/library/utility/host_tensor.hpp"
#include "ck/library/utility/host_tensor_generator.hpp"
#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"

template <ck::index_t... Is>
using S = ck::Sequence<Is...>;

using F16   = ck::half_t;
using F32   = float;
using BF16  = ck::bhalf_t;
using INT8  = std::int8_t;
using INT32 = std::int32_t;

template <typename ADataType,
          typename BDataType,
          typename CDataType,
          typename ALayout,
          typename BLayout,
          typename CLayout,
          typename AElementwiseOperation,
          typename BElementwiseOperation,
          typename CElementwiseOperation,
          typename DeviceCGemmInstance,
          typename ReferenceCGemmInstance>
int run_cgemm_xdl(ck::index_t M,
                  ck::index_t N,
                  ck::index_t K,
                  ck::index_t StrideA,
                  ck::index_t StrideB,
                  ck::index_t StrideC,
                  bool do_verification,
                  int init_method,
                  bool time_kernel)
{
    auto f_host_tensor_descriptor =
        [](std::size_t row, std::size_t col, std::size_t stride, auto layout) {
            if(std::is_same<decltype(layout), ck::tensor_layout::gemm::RowMajor>::value)
            {
                return HostTensorDescriptor(std::vector<std::size_t>({row, col}),
                                            std::vector<std::size_t>({stride, 1}));
            }
            else
            {
                return HostTensorDescriptor(std::vector<std::size_t>({row, col}),
                                            std::vector<std::size_t>({1, stride}));
            }
        };

    Tensor<ADataType> a_m_k_real(f_host_tensor_descriptor(M, K, StrideA, ALayout{}));
    Tensor<ADataType> a_m_k_imag(f_host_tensor_descriptor(M, K, StrideA, ALayout{}));
    Tensor<BDataType> b_k_n_real(f_host_tensor_descriptor(K, N, StrideB, BLayout{}));
    Tensor<BDataType> b_k_n_imag(f_host_tensor_descriptor(K, N, StrideB, BLayout{}));
    Tensor<CDataType> c_m_n_real_device_result(f_host_tensor_descriptor(M, N, StrideC, CLayout{}));
    Tensor<CDataType> c_m_n_imag_device_result(f_host_tensor_descriptor(M, N, StrideC, CLayout{}));

    std::cout << "a_m_k_real: " << a_m_k_real.mDesc << std::endl;
    std::cout << "a_m_k_imag: " << a_m_k_imag.mDesc << std::endl;
    std::cout << "b_k_n_real: " << b_k_n_real.mDesc << std::endl;
    std::cout << "b_k_n_imag: " << b_k_n_imag.mDesc << std::endl;
    std::cout << "c_m_n_real: " << c_m_n_real_device_result.mDesc << std::endl;
    std::cout << "c_m_n_imag: " << c_m_n_imag_device_result.mDesc << std::endl;

    switch(init_method)
    {
    case 0: break;
    case 1:
        a_m_k_real.GenerateTensorValue(GeneratorTensor_2<ADataType>{-2, 2});
        a_m_k_imag.GenerateTensorValue(GeneratorTensor_2<ADataType>{-2, 2});
        b_k_n_real.GenerateTensorValue(GeneratorTensor_2<BDataType>{-2, 2});
        b_k_n_imag.GenerateTensorValue(GeneratorTensor_2<BDataType>{-2, 2});
        break;
    default:
        a_m_k_real.GenerateTensorValue(GeneratorTensor_3<ADataType>{-0.5, 0.5});
        a_m_k_imag.GenerateTensorValue(GeneratorTensor_3<ADataType>{-0.5, 0.5});
        b_k_n_real.GenerateTensorValue(GeneratorTensor_3<BDataType>{-0.5, 0.5});
        b_k_n_imag.GenerateTensorValue(GeneratorTensor_3<BDataType>{-0.5, 0.5});
    }

    auto cgemm = DeviceCGemmInstance{};

    DeviceMem a_m_k_real_device_buf(sizeof(ADataType) * a_m_k_real.mDesc.GetElementSpaceSize());
    DeviceMem a_m_k_imag_device_buf(sizeof(ADataType) * a_m_k_imag.mDesc.GetElementSpaceSize());
    DeviceMem b_k_n_real_device_buf(sizeof(BDataType) * b_k_n_real.mDesc.GetElementSpaceSize());
    DeviceMem b_k_n_imag_device_buf(sizeof(BDataType) * b_k_n_imag.mDesc.GetElementSpaceSize());
    DeviceMem c_m_n_real_device_buf(sizeof(CDataType) *
                                    c_m_n_real_device_result.mDesc.GetElementSpaceSize());
    DeviceMem c_m_n_imag_device_buf(sizeof(CDataType) *
                                    c_m_n_imag_device_result.mDesc.GetElementSpaceSize());
    DeviceMem workspace_device_buf(cgemm.GetWorkspaceSize(M, N, K, StrideA, StrideB, StrideC));

    a_m_k_real_device_buf.ToDevice(a_m_k_real.mData.data());
    a_m_k_imag_device_buf.ToDevice(a_m_k_imag.mData.data());
    b_k_n_real_device_buf.ToDevice(b_k_n_real.mData.data());
    b_k_n_imag_device_buf.ToDevice(b_k_n_imag.mData.data());

    auto a_element_op = AElementwiseOperation{};
    auto b_element_op = BElementwiseOperation{};
    auto c_element_op = CElementwiseOperation{};

    // do GEMM
    auto invoker = cgemm.MakeInvoker();
    auto argument =
        cgemm.MakeArgument(static_cast<ADataType*>(a_m_k_real_device_buf.GetDeviceBuffer()),
                           static_cast<ADataType*>(a_m_k_imag_device_buf.GetDeviceBuffer()),
                           static_cast<BDataType*>(b_k_n_real_device_buf.GetDeviceBuffer()),
                           static_cast<BDataType*>(b_k_n_imag_device_buf.GetDeviceBuffer()),
                           static_cast<CDataType*>(c_m_n_real_device_buf.GetDeviceBuffer()),
                           static_cast<CDataType*>(c_m_n_imag_device_buf.GetDeviceBuffer()),
                           static_cast<CDataType*>(workspace_device_buf.GetDeviceBuffer()),
                           M,
                           N,
                           K,
                           StrideA,
                           StrideB,
                           StrideC,
                           a_element_op,
                           b_element_op,
                           c_element_op);

    if(!cgemm.IsSupportedArgument(argument))
    {
        throw std::runtime_error(
            "wrong! device_cgemm with the specified compilation parameters does "
            "not support this CGEMM problem");
    }

    float ave_time = invoker.Run(argument, StreamConfig{nullptr, time_kernel});

    std::size_t flop = std::size_t(8) * M * N * K;
    std::size_t num_btype =
        std::size_t(2) *
        (sizeof(ADataType) * M * K + sizeof(BDataType) * K * N + sizeof(CDataType) * M * N);

    float tflops = static_cast<float>(flop) / 1.E9 / ave_time;

    float gb_per_sec = num_btype / 1.E6 / ave_time;

    std::cout << "Perf: " << ave_time << " ms, " << tflops << " TFlops, " << gb_per_sec << " GB/s, "
              << cgemm.GetTypeString() << std::endl;

    c_m_n_real_device_buf.FromDevice(c_m_n_real_device_result.mData.data());
    c_m_n_imag_device_buf.FromDevice(c_m_n_imag_device_result.mData.data());

    if(do_verification)
    {
        Tensor<CDataType> c_m_n_real_host_result(
            f_host_tensor_descriptor(M, N, StrideC, CLayout{}));
        Tensor<CDataType> c_m_n_imag_host_result(
            f_host_tensor_descriptor(M, N, StrideC, CLayout{}));

        auto ref_cgemm   = ReferenceCGemmInstance{};
        auto ref_invoker = ref_cgemm.MakeInvoker();

        auto ref_argument = ref_cgemm.MakeArgument(a_m_k_real,
                                                   a_m_k_imag,
                                                   b_k_n_real,
                                                   b_k_n_imag,
                                                   c_m_n_real_host_result,
                                                   c_m_n_imag_host_result,
                                                   a_element_op,
                                                   b_element_op,
                                                   c_element_op);

        ref_invoker.Run(ref_argument);

        bool result = true;
        result      = ck::utils::check_err(c_m_n_real_device_result.mData,
                                      c_m_n_real_host_result.mData,
                                      "Verification error: incorrect results in real part!",
                                      1e-2f,
                                      1e-1f);
        result      = result &&
                 ck::utils::check_err(c_m_n_imag_device_result.mData,
                                      c_m_n_imag_host_result.mData,
                                      "Verification error: incorrect results in imaginary part!",
                                      1e-2f,
                                      1e-1f);
        return result ? 0 : 1;
    }
    return 0;
}