// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier: MIT

#pragma once
#include <iostream>
#include <functional>
#include <tuple>
#include <exception>
#include <sstream>
#include <vector>
#include <string>

#include "ck_tile/core.hpp"
#include "ck_tile/host.hpp"

// Structure to hold kernel traits for dispatcher
struct KernelTraits
{
    std::string pipeline;  // compv3, compv4, mem
    std::string scheduler; // intrawave, interwave
    std::string epilogue;  // cshuffle, default
    bool pad_m;
    bool pad_n;
    bool pad_k;
    bool persistent;

    // Constructor with defaults
    KernelTraits()
        : pipeline("compv3"),
          scheduler("intrawave"),
          epilogue("cshuffle"),
          pad_m(false),
          pad_n(false),
          pad_k(false),
          persistent(false)
    {
    }
};

// Create argument parser
inline auto create_args(int argc, char* argv[])
{
    ck_tile::ArgParser arg_parser;
    arg_parser.insert("m", "3840", "The value for m dimension. Default is 3840.")
        .insert("n", "4096", "The value for n dimension. Default is 4096.")
        .insert("k", "2048", "The value for k dimension. Default is 2048.")
        .insert("stride_a", "0", "The stride value for tensor A. Default is 0.")
        .insert("stride_b", "0", "The stride value for tensor B. Default is 0.")
        .insert("stride_ds", "0", "The stride value for tensor Ds . Default is 0.")
        .insert("stride_c", "0", "The stride value for tensor C. Default is 0.")
        .insert("split_k", "1", "The split value for k dimension. Default is 1.")
        .insert("verify",
                "2",
                "The type of validation. Set to 0 for no validation, 1 for validation on CPU, or 2 "
                "for validation on GPU. Default is 2, GPU validation.")
        .insert("log",
                "false",
                "Whether output kernel instance information or not. Possible values are true or "
                "false. Default is false")
        .insert(
            "warmup", "50", "The number of iterations before benchmark the kernel. Default is 50.")
        .insert(
            "repeat", "100", "The number of iterations to benchmark the kernel. Default is 100.")
        .insert("timer",
                "true",
                "Whether if the timer is gpu timer or not. Possible values are false or true. "
                "Default is true.")
        .insert("init",
                "0",
                "The method of tensor initialization. Set to 0 for random, to 1 for linear, or 2 "
                "for constant(1). Default is 0, random.")
        .insert("flush_cache",
                "true",
                "To flush cache, possible values are true or false. "
                "Default is false.")
        .insert("rotating_count", "1000", "number of iterations to rotate the cache. default is 5.")
        .insert("metric",
                "0",
                "Metric with which to measure kernel performance. Set to 0 for latency, 1 for "
                "tflops, or 2 for bandwidth. Default is 0, latency.")
        .insert("csv_filename",
                "",
                "The filename of benchmark result. Default is empty (no CSV output).")
        .insert("structured_sparsity",
                "false",
                "Whether use sparsity kernel or not. Possible values are true or false. Default is "
                "false")
        .insert("json_output",
                "false",
                "Whether to output results in JSON format only. Possible values are true or false. "
                "Default is "
                "false");

    bool result = arg_parser.parse(argc, argv);
    return std::make_tuple(result, arg_parser);
}