TensorRT-LLMs/cpp/include/tensorrt_llm/kernels/kvCacheIndex.h
Kaiyu Xie b777bd6475
Update TensorRT-LLM (#1725)
* Update TensorRT-LLM

---------

Co-authored-by: RunningLeon <mnsheng@yeah.net>
Co-authored-by: Tlntin <TlntinDeng01@Gmail.com>
Co-authored-by: ZHENG, Zhen <zhengzhen.z@qq.com>
Co-authored-by: Pham Van Ngoan <ngoanpham1196@gmail.com>
Co-authored-by: Nathan Price <nathan@abridge.com>
Co-authored-by: Tushar Goel <tushar.goel.ml@gmail.com>
Co-authored-by: Mati <132419219+matichon-vultureprime@users.noreply.github.com>
2024-06-04 20:26:32 +08:00

57 lines
1.5 KiB
C++

/*
* Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved.
*
* 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/common/assert.h"
#include <cstdint>
#include <cuda_runtime.h>
namespace tensorrt_llm::kernels
{
class KVCacheIndex
{
public:
using UnderlyingType = std::int32_t;
// Flag indicating KVCacheIndex refers to secondary pool
static constexpr UnderlyingType kSecondaryPoolFlag = static_cast<UnderlyingType>(1)
<< (8 * sizeof(UnderlyingType) - 1);
explicit KVCacheIndex(UnderlyingType value, bool isSecondary = false)
: value{isSecondary ? value | kSecondaryPoolFlag : value}
{
TLLM_CHECK_DEBUG(value >= 0);
}
__host__ __device__ [[nodiscard]] UnderlyingType get() const
{
return value & (~kSecondaryPoolFlag);
}
__host__ __device__ [[nodiscard]] bool isPrimary() const
{
return (value & kSecondaryPoolFlag) == 0;
}
private:
UnderlyingType value;
};
} // namespace tensorrt_llm::kernels