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20d0649f19
Signed-off-by: Yao Yao <lowsfer@users.noreply.github.com> Signed-off-by: peaceh <103117813+peaceh-nv@users.noreply.github.com> Signed-off-by: Jinyang Yuan <154768711+jinyangyuan-nvidia@users.noreply.github.com> Co-authored-by: Yao Yao <lowsfer@users.noreply.github.com> Co-authored-by: peaceh-nv <103117813+peaceh-nv@users.noreply.github.com>
44 lines
1.5 KiB
C++
44 lines
1.5 KiB
C++
/*
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* Copyright (c) 2020-2023, NVIDIA CORPORATION. All rights reserved.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*
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* This file contains constants that decoderXQA*.{h,cpp} need.
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*/
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#pragma once
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#include <cstdint>
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#include <optional>
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namespace tensorrt_llm
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{
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namespace kernels
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{
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inline constexpr int kMinHistoryTokensPerBlock = 128;
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inline constexpr float kEnableMinBlockFactor = 4.0;
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inline constexpr int kTargetWaveFactor = 8;
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// For multi-block mode. We reserve workspace for this amount of sub-sequences.
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// This should be enough. Huge batch size may result in larger value, but for large batch size,
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// multi-block mode is not useful. For llama v2 70b, 6000 results in ~12MB multi-block
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// workspace, and is enough for > 10 waves.
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inline constexpr int getXqaMaxNumSubSeq(bool isMLA)
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{
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constexpr int kXQA_MAX_NUM_SUB_SEQ = 6000;
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constexpr int kXQA_MLA_MAX_NUM_SUB_SEQ = 500;
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return isMLA ? kXQA_MLA_MAX_NUM_SUB_SEQ : kXQA_MAX_NUM_SUB_SEQ;
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}
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} // namespace kernels
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} // namespace tensorrt_llm
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