TensorRT-LLMs/cpp/tensorrt_llm/kernels/decoderMaskedMultiheadAttention/decoderXQAConstants.h
Kaiyu Xie be9cd719f7
Update TensorRT-LLM (#2094)
* Update TensorRT-LLM

---------

Co-authored-by: akhoroshev <arthoroshev@gmail.com>
Co-authored-by: Fabian Joswig <fjosw@users.noreply.github.com>
Co-authored-by: Tayef Shah <tayefshah@gmail.com>
Co-authored-by: lfz941 <linfanzai941@gmail.com>
2024-08-07 16:44:43 +08:00

39 lines
1.3 KiB
C++

/*
* Copyright (c) 2020-2023, 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.
*
* This file contains constants that decoderXQA*.{h,cpp} need.
*/
#pragma once
#include <cstdint>
#include <optional>
namespace tensorrt_llm
{
namespace kernels
{
inline constexpr int kMinHistoryTokensPerBlock = 128;
inline constexpr float kEnableMinBlockFactor = 4.0;
inline constexpr int kTargetWaveFactor = 8;
// For multi-block mode. We reserve workspace for this amount of sub-sequences.
// This should be enough. Huge batch size may result in larger value, but for large batch size,
// multi-block mode is not useful. For llama v2 70b, 6000 results in ~12MB multi-block
// workspace, and is enough for > 10 waves.
inline constexpr int kXQA_MAX_NUM_SUB_SEQ = 6000;
} // namespace kernels
} // namespace tensorrt_llm