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https://github.com/NVIDIA/TensorRT-LLM.git
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59 lines
2.1 KiB
C++
59 lines
2.1 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/executor/executor.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/modelConfig.h"
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#include <memory>
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#include <optional>
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namespace tensorrt_llm::batch_manager
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{
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namespace kv_cache_manager
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{
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class BaseKVCacheManager;
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} // namespace kv_cache_manager
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class SequenceSlotManager;
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class BasePeftCacheManager;
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class GenerateRequestOptions;
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} // namespace tensorrt_llm::batch_manager
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namespace tensorrt_llm::executor
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{
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struct SpeculativeDecodingFastLogitsInfo;
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} // namespace tensorrt_llm::executor
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namespace tensorrt_llm::batch_manager::utils
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{
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void draftModelSendLogitsThread(int device, std::atomic<bool>* draftModelThreadShouldExit,
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RequestVector* draftRequestsWaitingToSendLogits, std::shared_ptr<SequenceSlotManager> const& seqSlotManager,
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runtime::SizeType32 maxInputLen, std::shared_ptr<kv_cache_manager::BaseKVCacheManager> const& kvCacheManager,
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std::shared_ptr<kv_cache_manager::BaseKVCacheManager> const& crossKvCacheManager,
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std::shared_ptr<BasePeftCacheManager> const& peftCacheManager);
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std::optional<runtime::ITensor::SharedPtr> targetModelReceiveLogits(
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executor::SpeculativeDecodingFastLogitsInfo const& fastLogitsInfo, runtime::ModelConfig const& modelConfig);
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} // namespace tensorrt_llm::batch_manager::utils
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