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587d063e6d
* Update TensorRT-LLM --------- Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
80 lines
2.9 KiB
C++
80 lines
2.9 KiB
C++
/*
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* Copyright (c) 2022-2023, 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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#pragma once
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#include "tensorrt_llm/batch_manager/kvCacheManager.h"
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#include "tensorrt_llm/batch_manager/llmRequest.h"
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#include "tensorrt_llm/runtime/common.h"
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#include <list>
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namespace tensorrt_llm::batch_manager::batch_scheduler
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{
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enum class SchedulerPolicy
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{
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MAX_UTILIZATION,
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GUARANTEED_NO_EVICT,
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};
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class BatchScheduler
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{
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public:
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using RequestTable = std::map<uint64_t, std::shared_ptr<LlmRequest>>;
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using SizeType = tensorrt_llm::runtime::SizeType;
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using RequestList = std::list<std::shared_ptr<LlmRequest>>;
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BatchScheduler(SizeType targetBatchSize, std::shared_ptr<kv_cache_manager::KVCacheManager> kvCacheManager,
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SchedulerPolicy schedulerPolicy, bool manyMicroBatches = false)
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: mTargetBatchSize(targetBatchSize)
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, mKvCacheManager(kvCacheManager)
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, mSchedulerPolicy(schedulerPolicy)
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, mManyMicroBatches(manyMicroBatches)
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{
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}
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/// @brief Takes as input a sorted list of requests and outputs a sorted lists of requests
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/// to update for this current iteration, and a map of requests to terminate
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std::tuple<RequestList, RequestTable> scheduleRequests(const RequestList& requestList);
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private:
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/// @brief Schedule request using the MAX_UTILIZATION policy
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std::tuple<RequestList, RequestTable> scheduleRequestsMaxUtilization(const RequestList& requestList);
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/// @brief Try reserving resources to advance this req by one step, using MAX_UTILIZATION policy
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bool trySchedulingRequestMaxUtilization(
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const LlmRequest& req, SizeType& numScheduledRequests, SizeType& numScheduledBlocks);
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/// @brief Schedule request using the GUARANTEED_NO_EVICT policy
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std::tuple<RequestList, RequestTable> scheduleRequestsGuaranteedNoEvict(const RequestList& requestList);
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/// @brief Schedule up to mMaxNumReuests requests
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std::tuple<RequestList, RequestTable> scheduleTargetBatchSize(const RequestList& requestList);
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/// The target number of requests to include in a batch
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SizeType mTargetBatchSize;
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std::shared_ptr<kv_cache_manager::KVCacheManager> mKvCacheManager;
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/// The scheduling policy to use
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SchedulerPolicy mSchedulerPolicy;
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/// @brief Boolean that indicates if multiple micro batches might be in flight
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bool mManyMicroBatches;
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};
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} // namespace tensorrt_llm::batch_manager::batch_scheduler
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