mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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125 lines
4.8 KiB
C++
125 lines
4.8 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/BatchManager.h"
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#include "tensorrt_llm/batch_manager/batchScheduler.h"
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#include "tensorrt_llm/batch_manager/callbacks.h"
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#include "tensorrt_llm/batch_manager/llmRequest.h"
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#include "tensorrt_llm/batch_manager/trtGptModelOptionalParams.h"
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#include <atomic>
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#include <cstdlib>
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#include <filesystem>
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#include <functional>
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#include <map>
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#include <optional>
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namespace nvinfer1
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{
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class ILogger;
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}
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namespace tensorrt_llm::batch_manager
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{
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class InferenceRequest;
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class TrtGptModel;
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/* Responsible for shepherding requests through to completion
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using TRT Backend. */
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class GptManager
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{
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public:
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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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GptManager(std::filesystem::path const& trtEnginePath, TrtGptModelType modelType, int32_t maxBeamWidth,
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batch_scheduler::SchedulerPolicy schedulerPolicy, GetInferenceRequestsCallback getInferenceRequestsCb,
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SendResponseCallback sendResponseCb, PollStopSignalCallback pollStopSignalCb = nullptr,
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ReturnBatchManagerStatsCallback returnBatchManagerStatsCb = nullptr,
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const TrtGptModelOptionalParams& optionalParams = TrtGptModelOptionalParams(),
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std::optional<uint64_t> terminateReqId = std::nullopt);
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/* Wraps the user-provided callback for requests.
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Adds requests to request table.
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Invoked every generation loop iteration. */
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BatchManagerErrorCode_t fetchNewRequests();
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/* Returns completed requests.
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Deletes entry from activeRequests */
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BatchManagerErrorCode_t returnCompletedRequests();
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BatchManagerErrorCode_t pollStopSignals();
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BatchManagerErrorCode_t returnBatchManagerStats();
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BatchManagerErrorCode_t waitUntilTerminate();
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virtual ~GptManager();
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protected:
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/* Invokes one step of backend
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Updates state of all requests */
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virtual BatchManagerErrorCode_t step(RequestList& activeRequests, std::set<uint64_t>& activeRequestsIds);
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private:
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void validateLlmRequest(LlmRequest& newReq) const;
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static std::shared_ptr<LlmRequest> fillLlmRequest(std::shared_ptr<InferenceRequest> newReq);
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static std::shared_ptr<std::vector<int32_t>> getReqInputTokens(std::shared_ptr<InferenceRequest> new_req);
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static int32_t getMaxNewTokens(std::shared_ptr<InferenceRequest> newReq);
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std::shared_ptr<TrtGptModel> mTrtGptModel;
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SizeType mMaxInputLen;
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SizeType mMaxOutputLen;
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SizeType mMaxNumSequences;
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std::optional<uint64_t> mTerminateReqId;
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// Iteration counter - incremented every iteration of the generation loop
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int64_t mIterationCounter;
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// List of live requests
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RequestList mActiveRequests;
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// IDs of live requests
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std::set<uint64_t> mActiveRequestsIds;
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GetInferenceRequestsCallback mGetInferenceRequestsCb;
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SendResponseCallback mSendResponseCb;
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PollStopSignalCallback mPollStopSignalCb;
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ReturnBatchManagerStatsCallback mReturnBatchManagerStatsCb;
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std::atomic<bool> destructor_called_;
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void decoupled_execution_loop();
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std::shared_ptr<std::thread> worker_thread_;
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inline static const std::string kInputIdsTensorName_ = "input_ids";
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inline static const std::string kMaxNewTokensTensorName_ = "request_output_len";
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inline static const std::string kBeamWidthTensorName_ = "beam_width";
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inline static const std::string kEndIdTensorName_ = "end_id";
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inline static const std::string kPadIdTensorName_ = "pad_id";
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inline static const std::string kTemperatureTensorName_ = "temperature";
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inline static const std::string kRuntimeTopKTensorName_ = "runtime_top_k";
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inline static const std::string kRuntimeTopPTensorName_ = "runtime_top_p";
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inline static const std::string kLengthPenaltyTensorName_ = "len_penalty";
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inline static const std::string kRepetitionPenaltyTensorName_ = "repetition_penalty";
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inline static const std::string kMinLengthTensorName_ = "min_length";
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inline static const std::string kPresencePenaltyTensorName_ = "presence_penalty";
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inline static const std::string kRandomSeedTensorName_ = "random_seed";
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inline static const std::string kOutputIdsTensorName_ = "output_ids";
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std::shared_ptr<nvinfer1::ILogger> mLogger{};
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};
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} // namespace tensorrt_llm::batch_manager
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