mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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89 lines
3.7 KiB
C++
89 lines
3.7 KiB
C++
/*
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* Copyright (c) 2023-2024, 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 "common.h"
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#include "tensorrt_llm/batch_manager/llmRequest.h"
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#include "tensorrt_llm/common/algorithm.h"
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#include "tensorrt_llm/runtime/common.h"
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namespace tensorrt_llm::batch_manager
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{
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namespace batch_scheduler
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{
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struct ContextChunkingConfig
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{
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ContextChunkingConfig() = default;
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executor::ContextChunkingPolicy chunkingPolicy;
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/// The minimum size, also known as the chunk unit size. It generally
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/// needs to be equal to the size of the kv cache block or its integer
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/// multiples (except for the last context chunk) to avoid fragmentation.
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/// When set to null, it indicates that the context chunk is disabled.
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tensorrt_llm::runtime::SizeType32 chunkUnitSize;
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};
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} // namespace batch_scheduler
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/// @brief This scheduler takes into account the desired batch size and limits of the TRT engine to schedule requests.
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class MicroBatchScheduler : Algorithm
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{
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public:
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constexpr static auto name{"MicroBatchScheduler"};
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using SizeType32 = tensorrt_llm::runtime::SizeType32;
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using ContextChunkingPolicy = tensorrt_llm::executor::ContextChunkingPolicy;
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explicit MicroBatchScheduler(std::optional<batch_scheduler::ContextChunkingConfig> ctxChunkConfig = std::nullopt,
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std::optional<SizeType32> maxContextLength = std::nullopt,
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LlmRequestState noScheduleUntilState = LlmRequestState::kCONTEXT_INIT,
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LlmRequestState noScheduleAfterState = LlmRequestState::kGENERATION_COMPLETE);
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std::tuple<RequestVector, RequestVector> operator()(RequestVector& activeRequests, ReqIdsSet const& inflightReqIds,
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SizeType32 maxBatchSizeRuntime, std::optional<SizeType32> maxNumTokensRuntime) const;
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static void setCtxRequestsChunkSize(RequestVector& contextsToBeChunked, ContextChunkingPolicy ctxChunkPolicy,
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std::optional<SizeType32> ctxTokensCapacity, SizeType32 chunkUnitSize,
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std::optional<SizeType32> const& maxContextLength);
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private:
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template <ContextChunkingPolicy tPolicy>
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static void setCtxRequestsChunkSize(RequestVector& contextsToBeChunked, std::optional<SizeType32> ctxTokensCapacity,
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SizeType32 chunkUnitSize, std::optional<SizeType32> const& maxContextLength);
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/// After the chunk sizes have been determined, this function will discard
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/// any draft tokens that don't fit.
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static void fitDraftTokens(RequestVector& contextsToBeChunked, std::optional<SizeType32> ctxTokensCapacity,
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SizeType32 chunkUnitSize, std::optional<SizeType32> const& maxContextLength);
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/// The maximum length of the context. If the context exceeds this length,
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/// it must be chunked, otherwise it cannot be processed. Therefore, it
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/// needs to be set together with the chunk unit size to make sense.
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/// When set to null, it indicates that context length is unlimited.
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std::optional<SizeType32> mMaxContextLength;
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std::optional<batch_scheduler::ContextChunkingConfig> mCtxChunkConfig;
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/// The state until/after which the scheduler should not schedule requests
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LlmRequestState mNoScheduleUntilState;
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LlmRequestState mNoScheduleAfterState;
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};
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} // namespace tensorrt_llm::batch_manager
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