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https://github.com/NVIDIA/TensorRT-LLM.git
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b2fd493c16
* Update TensorRT-LLM --------- Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
55 lines
2.0 KiB
C++
55 lines
2.0 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 2022-2023 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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#include "generationInput.h"
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#include "tensorrt_llm/runtime/generationInput.h"
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#include "tensorrt_llm/runtime/torchView.h"
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namespace tr = tensorrt_llm::runtime;
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using namespace tensorrt_llm::pybind::runtime;
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std::shared_ptr<tr::PromptTuningParams> PromptTuningParams::toTrtLlm() const
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{
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auto ptt = std::make_shared<tr::PromptTuningParams>();
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if (embeddingTable)
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ptt->embeddingTable = tr::TorchView::of(embeddingTable.value());
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if (tasks)
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ptt->tasks = tr::TorchView::of(tasks.value());
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if (vocabSize)
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ptt->vocabSize = tr::TorchView::of(vocabSize.value());
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ptt->promptTuningEnabled = promptTuningEnabled;
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return ptt;
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}
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std::shared_ptr<tr::GenerationInput> GenerationInput::toTrtLlm() const
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{
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auto input = std::make_shared<tr::GenerationInput>(
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endId, padId, tr::TorchView::of(ids.value()), tr::TorchView::of(lengths.value()), packed);
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if (embeddingBias)
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input->embeddingBias = tr::TorchView::of(embeddingBias.value());
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if (badWordsList)
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input->badWordsList = tr::TorchView::of(badWordsList.value());
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if (stopWordsList)
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input->stopWordsList = tr::TorchView::of(stopWordsList.value());
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input->maxNewTokens = maxNewTokens;
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input->promptTuningParams = *promptTuningParams.toTrtLlm();
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return input;
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return input;
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}
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