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https://github.com/NVIDIA/TensorRT-LLM.git
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58 lines
1.8 KiB
C++
58 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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#ifndef TRT_GPT_ATTENTION_COMMON_IMPL_H
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#define TRT_GPT_ATTENTION_COMMON_IMPL_H
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#include "gptAttentionCommon.h"
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namespace nvinfer1::plugin
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{
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template <typename T>
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T* GPTAttentionPluginCommon::cloneImpl() const noexcept
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{
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static_assert(std::is_base_of_v<GPTAttentionPluginCommon, T>);
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auto* plugin = new T(static_cast<T const&>(*this));
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plugin->setPluginNamespace(mNamespace.c_str());
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// Cloned plugins should be in initialized state with correct resources ready to be enqueued.
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plugin->initialize();
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return plugin;
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}
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template <typename T>
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T* GPTAttentionPluginCreatorCommon::deserializePluginImpl(
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const char* name, const void* serialData, size_t serialLength) noexcept
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{
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// This object will be deleted when the network is destroyed, which will
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// call GPTAttentionPluginCommon::destroy()
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try
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{
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auto* obj = new T(serialData, serialLength);
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obj->setPluginNamespace(mNamespace.c_str());
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return obj;
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}
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catch (const std::exception& e)
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{
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caughtError(e);
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}
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return nullptr;
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}
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} // namespace nvinfer1::plugin
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#endif // TRT_GPT_ATTENTION_COMMON_IMPL_H
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