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e06f537e08
* Update TensorRT-LLM --------- Co-authored-by: erenup <ping.nie@pku.edu.cn> Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
37 lines
1.3 KiB
C++
37 lines
1.3 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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namespace tensorrt_llm
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{
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namespace kernels
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{
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// max number of CTAs for each KV head, multiple CTAs for one KV head is multi-block mode.
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// this number defines the maximum number when reaches both max_batch_size and max_beam_width.
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// If batch_size or beam_width doesn't reach maximum value, it is possible to have more CTAs per KV head than this
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// value.
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static constexpr int kMaxNbCtaPerKVHeadFactor = 8;
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static constexpr int kMinHistoryTokensPerBlock = 512;
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static constexpr float kEnableMinBlockFactor = 4.0;
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static constexpr int kTargetWaveFactor = 8;
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} // namespace kernels
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} // namespace tensorrt_llm
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