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

#include "../09_convnd_fwd/convnd_fwd_common.hpp"

#include "ck/tensor_operation/gpu/device/device_convnd_fwd_nwc_kxc_nwk_xdl.hpp"
#include "ck/tensor_operation/gpu/device/device_convnd_fwd_multiple_d_nwc_kxc_nwk_xdl_cshuffle.hpp"

using InDataType  = ck::half_t;
using WeiDataType = ck::half_t;
using OutDataType = ck::half_t;
using AccDataType = float;

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

using InElementOp  = ck::tensor_operation::element_wise::PassThrough;
using WeiElementOp = ck::tensor_operation::element_wise::PassThrough;
using OutElementOp = ck::tensor_operation::element_wise::UnaryConvert;

using CShuffleDataType = ck::half_t;

static constexpr auto ConvSpec =
    ck::tensor_operation::device::ConvolutionForwardSpecialization::Default;

static constexpr auto GemmSpec = ck::tensor_operation::device::GemmSpecialization::MNKPadding;

template <ck::index_t NDimSpatial>
using DeviceConvNDFwdInstance =
    ck::tensor_operation::device::DeviceConvNdFwdMultipleD_NwcKxcNwk_Xdl_CShuffle<
        NDimSpatial,      //
        InDataType,       //
        WeiDataType,      //
        AccDataType,      //
        CShuffleDataType, //
        ck::Tuple<>,      //
        OutDataType,      //
        InElementOp,      // Input Elementwise Operation
        WeiElementOp,     // Weights Elementwise Operation
        OutElementOp,     // Output Elementwise Operation
        ConvSpec,         // ConvForwardSpecialization
        GemmSpec,         // GemmSpecialization
        1,                //
        256,              // BlockSize
        128,              // MPerBlock
        256,              // NPerBlock
        32,               // KPerBlock
        8,                // K1
        32,               // MPerXdl
        32,               // NPerXdl
        2,                // MXdlPerWave
        4,                // NXdlPerWave
        S<4, 64, 1>,      // ABlockTransferThreadClusterLengths_K0_M_K1
        S<1, 0, 2>,       // ABlockTransferThreadClusterArrangeOrder
        S<1, 0, 2>,       // ABlockTransferSrcAccessOrder
        2,                // ABlockTransferSrcVectorDim
        8,                // ABlockTransferSrcScalarPerVector
        8,                // ABlockTransferDstScalarPerVector_K1
        1,                // ABlockLdsExtraM
        S<4, 64, 1>,      // BBlockTransferThreadClusterLengths_K0_N_K1
        S<1, 0, 2>,       // BBlockTransferThreadClusterArrangeOrder
        S<1, 0, 2>,       // BBlockTransferSrcAccessOrder
        2,                // BBlockTransferSrcVectorDim
        8,                // BBlockTransferSrcScalarPerVector
        8,                // BBlockTransferDstScalarPerVector_K1
        1,                // BBlockLdsExtraN
        1,
        1,
        S<1, 32, 1, 8>,
        8>;

int main(int argc, char* argv[])
{
    print_helper_msg();

    bool do_verification = true;
    int init_method      = 1;
    bool time_kernel     = false;
    int num_dim_spatial  = 2;

    ck::utils::conv::ConvParam params{
        2, 128, 256, 192, {3, 3}, {71, 71}, {2, 2}, {1, 1}, {1, 1}, {1, 1}};

    if(argc == 1)
    {
        // use default
    }
    else if(argc == 4)
    {
        do_verification = std::stoi(argv[1]);
        init_method     = std::stoi(argv[2]);
        time_kernel     = std::stoi(argv[3]);
    }
    else
    {
        do_verification = std::stoi(argv[1]);
        init_method     = std::stoi(argv[2]);
        time_kernel     = std::stoi(argv[3]);
        num_dim_spatial = std::stoi(argv[4]);

        params = parse_conv_params(num_dim_spatial, 5, argv);
    }

    const auto in_element_op  = InElementOp{};
    const auto wei_element_op = WeiElementOp{};
    const auto out_element_op = OutElementOp{};

    if(num_dim_spatial == 1)
    {
        return run_conv_fwd<1,
                            ck::tensor_layout::convolution::NWC,
                            ck::tensor_layout::convolution::KXC,
                            ck::tensor_layout::convolution::NWK,
                            InDataType,
                            WeiDataType,
                            OutDataType,
                            InElementOp,
                            WeiElementOp,
                            OutElementOp,
                            DeviceConvNDFwdInstance<1>>(do_verification,
                                                        init_method,
                                                        time_kernel,
                                                        params,
                                                        in_element_op,
                                                        wei_element_op,
                                                        out_element_op);
    }
    else if(num_dim_spatial == 2)
    {
        return run_conv_fwd<2,
                            ck::tensor_layout::convolution::NHWC,
                            ck::tensor_layout::convolution::KYXC,
                            ck::tensor_layout::convolution::NHWK,
                            InDataType,
                            WeiDataType,
                            OutDataType,
                            InElementOp,
                            WeiElementOp,
                            OutElementOp,
                            DeviceConvNDFwdInstance<2>>(do_verification,
                                                        init_method,
                                                        time_kernel,
                                                        params,
                                                        in_element_op,
                                                        wei_element_op,
                                                        out_element_op);
    }
    else if(num_dim_spatial == 3)
    {
        return run_conv_fwd<3,
                            ck::tensor_layout::convolution::NDHWC,
                            ck::tensor_layout::convolution::KZYXC,
                            ck::tensor_layout::convolution::NDHWK,
                            InDataType,
                            WeiDataType,
                            OutDataType,
                            InElementOp,
                            WeiElementOp,
                            OutElementOp,
                            DeviceConvNDFwdInstance<3>>(do_verification,
                                                        init_method,
                                                        time_kernel,
                                                        params,
                                                        in_element_op,
                                                        wei_element_op,
                                                        out_element_op);
    }

    return 0;
}
