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https://github.com/NVIDIA/TensorRT-LLM.git
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6755a3f077
* Update TensorRT-LLM --------- Co-authored-by: Tltin <TltinDeng01@gmail.com> Co-authored-by: zhaohb <zhaohbcloud@126.com> Co-authored-by: Bradley Heilbrun <brad@repl.it> Co-authored-by: nqbao11 <nqbao11.01@gmail.com> Co-authored-by: Nikhil Varghese <nikhil@bot-it.ai>
47 lines
1.6 KiB
C++
47 lines
1.6 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 "generationOutput.h"
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#include "tensorrt_llm/runtime/torch.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::GenerationOutput> GenerationOutput::toTrtLlm() const
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{
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auto output
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= std::make_shared<tr::GenerationOutput>(tr::TorchView::of(ids.value()), tr::TorchView::of(lengths.value()));
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if (logProbs)
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{
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output->logProbs = tr::TorchView::of(logProbs.value());
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}
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if (contextLogits)
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{
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output->contextLogits = tr::TorchView::of(contextLogits.value());
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}
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if (onTokenGenerated)
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{
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output->onTokenGenerated = [delegate = onTokenGenerated](
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tr::GenerationOutput::TensorPtr const& ids, tr::SizeType step, bool finished)
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{ delegate(tr::Torch::tensor(ids), step, finished); };
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}
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return output;
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}
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