/*******************************************************************************
 *
 * MIT License
 *
 * Copyright (c) 2019 - 2023 Advanced Micro Devices, Inc.
 *
 * 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
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 *******************************************************************************/
/* ************************************************************************
 * Copyright 2015 Vratis, Ltd.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * ************************************************************************ */

#pragma once
#ifndef GUARD_RPP_KERNEL_CACHE_HPP_
#define GUARD_RPP_KERNEL_CACHE_HPP_

#include <string>
#include <unordered_map>
#include <vector>

#include "rpp.h"
#include "rpp/handle.hpp"
#include "rpp/kernel.hpp"
#include "rpp/simple_hash.hpp"

#ifdef GPU_SUPPORT

namespace rpp {

// The KernelCache class - Build and cache kernels
class KernelCache
{

    public:
    using Key        = std::pair<std::string, std::string>;
    using KernelMap  = std::unordered_map<Key, std::vector<Kernel>, SimpleHash>;
    using ProgramMap = std::unordered_map<Key, Program, SimpleHash>;

    Kernel AddKernel(Handle& h,
                     const std::string& algorithm,
                     const std::string& network_config,
                     const std::string& program_name,
                     const std::string& kernel_name,
                     const std::vector<size_t>& vld,
                     const std::vector<size_t>& vgd,
                     std::string params            = "",
                     std::size_t cache_index       = 0,
                     bool is_kernel_str            = false,
                     const std::string& kernel_src = "");

    void AddKernel(Key key, Kernel k, std::size_t cache_index);

    void ClearKernels(const std::string& algorithm, const std::string& network_config);

    const std::vector<Kernel>& GetKernels(const std::string& algorithm,
                                          const std::string& network_config);

    bool HasKernels(const std::string& algorithm, const std::string& network_config) const;

    KernelCache();

    private:
    KernelMap kernel_map;
    ProgramMap program_map;
};

} // namespace rpp

#endif // GPU_SUPPORT

#endif // GUARD_RPP_KERNEL_CACHE_HPP_
