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https://github.com/NVIDIA/TensorRT-LLM.git
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* Update TensorRT-LLM --------- Co-authored-by: Kota Tsuyuzaki <bloodeagle40234@gmail.com> Co-authored-by: Pzzzzz <hello-cd.plus@hotmail.com> Co-authored-by: Patrick Reiter Horn <patrick.horn@gmail.com>
112 lines
3.4 KiB
C++
112 lines
3.4 KiB
C++
/*
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* Copyright (c) 2024, 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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#pragma once
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#include "tensorrt_llm/common/cudaUtils.h"
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#include "tensorrt_llm/runtime/common.h"
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namespace tensorrt_llm::runtime
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{
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class SpeculativeDecodingModule
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{
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public:
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explicit SpeculativeDecodingModule(
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SizeType32 maxDraftPathLen, SizeType32 maxDecodingDraftTokens, SizeType32 maxNumPaths) noexcept
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: mMaxDraftPathLen(maxDraftPathLen)
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, mMaxDecodingDraftTokens(maxDecodingDraftTokens)
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, mMaxNumPaths(maxNumPaths)
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{
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computeNumPackedMasks();
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}
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explicit SpeculativeDecodingModule() noexcept
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: SpeculativeDecodingModule(0, 0, 0)
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{
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}
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virtual ~SpeculativeDecodingModule() = default;
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SpeculativeDecodingModule(SpeculativeDecodingModule const& o) = default;
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SpeculativeDecodingModule& operator=(SpeculativeDecodingModule const& o) = default;
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/// @return max number of draft tokens that can be accepted by one step of the decoder
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[[nodiscard]] SizeType32 getMaxDraftPathLen() const noexcept
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{
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return mMaxDraftPathLen;
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}
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/// @return max number of tokens that a request can grow in one step of the decoder
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/// @details one more than draft path len for prediction from primary head
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[[nodiscard]] SizeType32 getMaxPathLen() const noexcept
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{
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return getMaxDraftPathLen() + 1;
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}
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/// @return max number of draft tokens processed by one step of the decoder
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[[nodiscard]] SizeType32 getMaxDecodingDraftTokens() const noexcept
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{
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return mMaxDecodingDraftTokens;
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}
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/// @return max number of tokens processed by one step of the decoder
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/// @details one more than decoding draft tokens for prediction from primary head
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[[nodiscard]] SizeType32 getMaxDecodingTokens() const noexcept
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{
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return getMaxDecodingDraftTokens() + 1;
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}
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[[nodiscard]] SizeType32 getNumPackedMasks() const noexcept
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{
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return mMaxNumPackedMasks;
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}
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[[nodiscard]] SizeType32 getMaxNumPaths() const noexcept
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{
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return mMaxNumPaths;
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}
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void setMaxDraftTokens(SizeType32 maxDraftTokens) noexcept
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{
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mMaxDecodingDraftTokens = maxDraftTokens;
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computeNumPackedMasks();
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}
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void setMaxDraftPathLen(SizeType32 maxDraftPathLen) noexcept
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{
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mMaxDraftPathLen = maxDraftPathLen;
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}
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void setMaxNumPaths(SizeType32 maxNumPaths) noexcept
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{
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mMaxNumPaths = maxNumPaths;
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}
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private:
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void computeNumPackedMasks() noexcept
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{
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mMaxNumPackedMasks = tensorrt_llm::common::divUp(mMaxDecodingDraftTokens, 32);
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}
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private:
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SizeType32 mMaxDraftPathLen; // max length per path (or ray/branch)
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SizeType32 mMaxDecodingDraftTokens; // max combined length of all paths (or rays/branches)
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SizeType32 mMaxNumPaths; // max number of paths (or rays/branches)
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SizeType32 mMaxNumPackedMasks;
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};
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} // namespace tensorrt_llm::runtime
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