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https://github.com/NVIDIA/TensorRT-LLM.git
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62 lines
2.4 KiB
C++
62 lines
2.4 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: Apache-2.0
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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/common.h"
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#include "tensorrt_llm/runtime/bufferManager.h"
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#include "tensorrt_llm/runtime/common.h"
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#include "tensorrt_llm/runtime/iTensor.h"
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#include "tensorrt_llm/runtime/loraManager.h"
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#include "tensorrt_llm/runtime/modelConfig.h"
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#include "tensorrt_llm/runtime/tllmRuntime.h"
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#include "tensorrt_llm/runtime/worldConfig.h"
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namespace tensorrt_llm::batch_manager
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{
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class LoraBuffers
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{
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public:
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using SizeType32 = tensorrt_llm::runtime::SizeType32;
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using PeftTable = runtime::LoraManager::PeftTable;
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using TensorPtr = runtime::ITensor::SharedPtr;
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using TensorMap = runtime::StringPtrMap<runtime::ITensor>;
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TensorPtr mLoraWeightsPointersHost;
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TensorPtr mLoraAdapterSizesHost;
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runtime::LoraManager mLoraManager;
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LoraBuffers(SizeType32 maxBatchSize, SizeType32 maxBeamWidth, runtime::TllmRuntime const& tllmRuntime,
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runtime::ModelConfig const& modelConfig, runtime::WorldConfig const& worldConfig);
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static void validate(std::optional<std::uint64_t> const& optTaskId,
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std::optional<TensorPtr> const& optReqLoraWeights, std::optional<TensorPtr> const& optReqLoraConfig,
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runtime::ModelConfig const& modelConfig, runtime::WorldConfig const& worldConfig);
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void fill(RequestVector const& contextRequests, RequestVector const& genRequests, PeftTable const& peftTable,
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runtime::BufferManager const& manager, runtime::ModelConfig const& modelConfig,
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runtime::WorldConfig const& worldConfig);
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void insertInputTensors(TensorMap& inputTensors, TensorPtr weightsPtrs, TensorPtr adapterSizes,
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runtime::ModelConfig const& modelConfig, runtime::WorldConfig const& worldConfig) const;
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void reshape(SizeType32 numSequences);
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};
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} // namespace tensorrt_llm::batch_manager
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