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https://github.com/NVIDIA/TensorRT-LLM.git
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58 lines
2.1 KiB
C++
58 lines
2.1 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 "common.h"
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#include "tensorrt_llm/common/algorithm.h"
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#include "tensorrt_llm/common/optionalRef.h"
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#include "tensorrt_llm/runtime/common.h"
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#include "tensorrt_llm/runtime/iGptDecoderBatched.h"
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#include "tensorrt_llm/runtime/modelConfig.h"
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namespace tensorrt_llm::batch_manager
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{
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class DecoderInputBuffers;
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class DecoderBuffers;
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class RuntimeBuffers;
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} // namespace tensorrt_llm::batch_manager
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namespace tensorrt_llm::batch_manager
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{
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class MakeDecodingBatchInputOutput : Algorithm
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{
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public:
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template <typename T>
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using OptionalRef = tensorrt_llm::common::OptionalRef<T>;
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constexpr static auto name{"MakeDecodingBatchInputOutput"};
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using SizeType32 = tensorrt_llm::runtime::SizeType32;
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using TensorPtr = runtime::decoder_batch::Input::TensorPtr;
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MakeDecodingBatchInputOutput() = default;
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std::tuple<std::unique_ptr<runtime::decoder_batch::Input>, std::unique_ptr<runtime::decoder_batch::Output>>
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operator()(RequestVector const& contextRequests, RequestVector const& generationRequests,
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DecoderBuffers& decoderBuffers, DecoderInputBuffers const& inputBuffers,
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runtime::ModelConfig const& modelConfig, SizeType32 maxNumSequences, SizeType32 beamWidth,
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runtime::BufferManager const& manager, runtime::CudaStream const& stream,
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OptionalRef<RuntimeBuffers> fusedRuntimeBuffers) const;
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};
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} // namespace tensorrt_llm::batch_manager
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