/*
 * SPDX-FileCopyrightText: Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 * SPDX-License-Identifier: Apache-2.0
 *
 * 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

#include "tensorrt_llm/runtime/common.h"

#include <optional>

namespace tensorrt_llm::batch_manager::kv_cache_manager
{

class KvCacheConfig
{
public:
    using SizeType = tensorrt_llm::runtime::SizeType;

    explicit KvCacheConfig(std::optional<SizeType> maxTokens = std::nullopt,
        std::optional<SizeType> maxAttentionWindow = std::nullopt,
        std::optional<float> freeGpuMemoryFraction = std::nullopt, bool enableBlockReuse = false)
        : maxTokens{maxTokens}
        , maxAttentionWindow{maxAttentionWindow}
        , freeGpuMemoryFraction{freeGpuMemoryFraction}
        , enableBlockReuse(enableBlockReuse)
    {
    }

    std::optional<SizeType> maxTokens;
    std::optional<SizeType> maxAttentionWindow;
    std::optional<float> freeGpuMemoryFraction;
    bool enableBlockReuse;

    static constexpr auto kDefaultGpuMemFraction = 0.85f;
};

} // namespace tensorrt_llm::batch_manager::kv_cache_manager