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https://github.com/NVIDIA/TensorRT-LLM.git
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587d063e6d
* Update TensorRT-LLM --------- Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
67 lines
2.3 KiB
C++
67 lines
2.3 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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#pragma once
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#include "tensorrt_llm/common/assert.h"
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#include "tensorrt_llm/runtime/common.h"
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#include "tensorrt_llm/runtime/generationInput.h"
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#include <ATen/ATen.h>
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#include <ATen/ops/tensor.h>
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#include <memory>
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#include <optional>
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namespace tensorrt_llm::pybind::runtime
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{
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using SizeType = tensorrt_llm::runtime::SizeType;
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class PromptTuningParams : public tensorrt_llm::runtime::GenericPromptTuningParams<std::optional<at::Tensor>>
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{
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public:
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using Base = tensorrt_llm::runtime::GenericPromptTuningParams<std::optional<at::Tensor>>;
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using TensorPtr = Base::TensorPtr;
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using SizeType = Base::SizeType;
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explicit PromptTuningParams(
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TensorPtr embeddingTable = TensorPtr(), TensorPtr tasks = TensorPtr(), TensorPtr vocabSize = TensorPtr())
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: GenericPromptTuningParams(std::move(embeddingTable), std::move(tasks), std::move(vocabSize))
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{
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}
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[[nodiscard]] std::shared_ptr<tensorrt_llm::runtime::PromptTuningParams> toTrtLlm() const;
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};
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class GenerationInput
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: public tensorrt_llm::runtime::GenericGenerationInput<std::optional<at::Tensor>, PromptTuningParams>
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{
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public:
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using Base = tensorrt_llm::runtime::GenericGenerationInput<std::optional<at::Tensor>, PromptTuningParams>;
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using TensorPtr = Base::TensorPtr;
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explicit GenerationInput(
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SizeType const endId, SizeType const padId, TensorPtr ids, TensorPtr lengths, bool packed = false)
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: GenericGenerationInput(endId, padId, std::move(ids), std::move(lengths), packed)
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{
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}
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[[nodiscard]] std::shared_ptr<tensorrt_llm::runtime::GenerationInput> toTrtLlm() const;
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};
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} // namespace tensorrt_llm::pybind::runtime
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