// Copyright (C) 2022 Advanced Micro Devices, Inc. All rights reserved.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
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// THE SOFTWARE.

#ifndef ROCFFT_RTC_BLUESTEIN_KERNEL_H
#define ROCFFT_RTC_BLUESTEIN_KERNEL_H

#include "compute_scheme.h"
#include "rtc_kernel.h"

// single-kernel bluestein
struct RTCKernelBluesteinSingle : public RTCKernel
{
    RTCKernelBluesteinSingle(const std::string&       kernel_name,
                             const std::vector<char>& code,
                             dim3                     gridDim,
                             dim3                     blockDim)
        : RTCKernel(kernel_name, code, gridDim, blockDim)
    {
    }

    static RTCKernel::RTCGenerator generate_from_node(const TreeNode&    node,
                                                      const std::string& gpu_arch,
                                                      bool               enable_callbacks);

    virtual RTCKernelArgs get_launch_args(DeviceCallIn& data) override;
};

// multi-kernel bluestein
struct RTCKernelBluesteinMulti : public RTCKernel
{
    RTCKernelBluesteinMulti(const std::string&       kernel_name,
                            ComputeScheme            scheme,
                            size_t                   N,
                            size_t                   M,
                            size_t                   numof,
                            size_t                   count,
                            const std::vector<char>& code,
                            dim3                     gridDim,
                            dim3                     blockDim)
        : RTCKernel(kernel_name, code, gridDim, blockDim)
        , scheme(scheme)
        , N(N)
        , M(M)
        , numof(numof)
        , count(count)
    {
    }

    static RTCKernel::RTCGenerator generate_from_node(const TreeNode&    node,
                                                      const std::string& gpu_arch,
                                                      bool               enable_callbacks);

    virtual RTCKernelArgs get_launch_args(DeviceCallIn& data) override;

private:
    ComputeScheme scheme;
    size_t        N;
    size_t        M;
    size_t        numof;
    size_t        count;
};

#endif
