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https://github.com/NVIDIA/TensorRT-LLM.git
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60 lines
1.8 KiB
C++
60 lines
1.8 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/batch_manager/inferenceRequest.h"
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#include "tensorrt_llm/pybind/batch_manager/namedTensor.h"
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#include <ATen/ATen.h>
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#include <pybind11/pybind11.h>
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#include <memory>
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#include <optional>
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namespace tensorrt_llm::pybind::batch_manager
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{
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class InferenceRequest
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: public tensorrt_llm::batch_manager::GenericInferenceRequest<std::optional<at::Tensor>, NamedTensor>
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{
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public:
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using Base = tensorrt_llm::batch_manager::GenericInferenceRequest<std::optional<at::Tensor>, NamedTensor>;
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using TensorPtr = Base::TensorPtr;
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using TensorMap = Base::TensorMap;
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InferenceRequest(uint64_t requestId)
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: Base(requestId)
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{
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}
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InferenceRequest(uint64_t requestId, TensorMap const& inputTensors)
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: Base{requestId, inputTensors}
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{
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}
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InferenceRequest(uint64_t requestId, TensorMap&& inputTensors)
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: Base{requestId, std::move(inputTensors)}
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{
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}
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[[nodiscard]] std::shared_ptr<tensorrt_llm::batch_manager::InferenceRequest> toTrtLlm() const;
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static void initBindings(pybind11::module_& m);
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};
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} // namespace tensorrt_llm::pybind::batch_manager
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