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* Update TensorRT-LLM --------- Co-authored-by: Denis Kayshev <topenkoff@gmail.com> Co-authored-by: akhoroshev <arthoroshev@gmail.com> Co-authored-by: Patrick Reiter Horn <patrick.horn@gmail.com> Update
49 lines
1.4 KiB
C++
49 lines
1.4 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 2022-2024 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/common/algorithm.h"
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#include "tensorrt_llm/runtime/modelConfig.h"
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namespace tensorrt_llm::runtime
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{
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class TllmRuntime;
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}
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namespace tensorrt_llm::batch_manager
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{
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class RuntimeBuffers;
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class DecoderBuffers;
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namespace tr = tensorrt_llm::runtime;
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class HandleContextLogits : Algorithm
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{
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public:
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constexpr static auto name{"HandleContextLogits"};
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HandleContextLogits() = default;
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tr::SizeType32 operator()(RequestVector const& contextRequests, RuntimeBuffers const& contextRuntimeBuffers,
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DecoderBuffers& decoderBuffers, tr::ModelConfig const& modelConfig, runtime::TllmRuntime const& runtime) const;
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};
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} // namespace tensorrt_llm::batch_manager
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