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https://github.com/NVIDIA/TensorRT-LLM.git
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56 lines
1.4 KiB
C++
56 lines
1.4 KiB
C++
/*
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* Copyright (c) 2022-2024, 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/runtime/cudaEvent.h"
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#include <atomic>
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#include <condition_variable>
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#include <mutex>
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#include <vector>
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namespace tensorrt_llm::batch_manager
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{
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// Use to track progress of context phase in dist-serving
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class ContextProgress
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{
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public:
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ContextProgress(int numLayers);
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void recordEvent(int layerIdx, cudaStream_t stream);
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void wait(int layerIdx);
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int getNumLayers() const
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{
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return mCudaEvents.size();
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}
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cudaEvent_t getEvent(int layerIdx)
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{
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return mCudaEvents.at(layerIdx).get();
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}
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private:
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std::mutex mMutex;
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std::condition_variable mConditionVariable;
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std::unique_ptr<std::atomic_bool[]> mCudaEventsRecorded;
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std::vector<runtime::CudaEvent> mCudaEvents;
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};
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} // namespace tensorrt_llm::batch_manager
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