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5955b8afba
* Update TensorRT-LLM --------- Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
61 lines
1.5 KiB
C++
61 lines
1.5 KiB
C++
/*
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* Copyright (c) 2019-2023, NVIDIA CORPORATION. All rights reserved.
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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/allocator.h"
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#include "tensorrt_llm/common/tensor.h"
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namespace tensorrt_llm
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{
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namespace layers
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{
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class BaseLayer
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{
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public:
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BaseLayer(cudaStream_t stream, std::shared_ptr<tensorrt_llm::common::IAllocator> allocator,
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cudaDeviceProp* prop = nullptr)
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: mStream(stream)
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, mAllocator(std::move(allocator))
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, mCudaDeviceProp(prop)
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{
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}
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virtual ~BaseLayer() = default;
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virtual cudaStream_t getStream()
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{
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return mStream;
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}
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virtual void setStream(cudaStream_t stream)
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{
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mStream = stream;
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}
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protected:
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// device environments
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cudaStream_t mStream;
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std::shared_ptr<tensorrt_llm::common::IAllocator> mAllocator;
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cudaDeviceProp* mCudaDeviceProp = nullptr;
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bool mIsAllocateBuffer = false; // TODO to be deprecated
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};
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} // namespace layers
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} // namespace tensorrt_llm
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