// 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
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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// THE SOFTWARE.

#ifndef ROCFFT_RTC_REALCOMPLEX_KERNEL_H
#define ROCFFT_RTC_REALCOMPLEX_KERNEL_H

#include "rtc_kernel.h"

struct RTCKernelRealComplex : public RTCKernel
{
    RTCKernelRealComplex(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;
};

struct RTCKernelRealComplexEven : public RTCKernel
{
    RTCKernelRealComplexEven(const std::string&       kernel_name,
                             size_t                   half_N,
                             const std::vector<char>& code,
                             dim3                     gridDim,
                             dim3                     blockDim)
        : RTCKernel(kernel_name, code, gridDim, blockDim)
        , half_N(half_N)
    {
    }

    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;
    size_t                half_N;
};

struct RTCKernelRealComplexEvenTranspose : public RTCKernel
{
    RTCKernelRealComplexEvenTranspose(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;
};

struct RTCKernelApplyCallback : public RTCKernel
{
    RTCKernelApplyCallback(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;
};

#endif
