mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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64 lines
1.8 KiB
C++
64 lines
1.8 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/cublasMMWrapper.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, tensorrt_llm::common::cublasMMWrapper* cublas_wrapper,
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tensorrt_llm::common::IAllocator* allocator, bool is_free_buffer_after_forward,
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cudaDeviceProp* cuda_device_prop = nullptr)
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: stream_(stream)
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, cublas_wrapper_(cublas_wrapper)
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, allocator_(allocator)
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, cuda_device_prop_(cuda_device_prop)
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, is_free_buffer_after_forward_(is_free_buffer_after_forward){};
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virtual ~BaseLayer() = default;
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virtual cudaStream_t getStream()
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{
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return stream_;
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}
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virtual void setStream(cudaStream_t stream)
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{
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stream_ = stream;
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}
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protected:
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// device environments
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cudaStream_t stream_;
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tensorrt_llm::common::cublasMMWrapper* cublas_wrapper_;
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tensorrt_llm::common::IAllocator* allocator_;
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cudaDeviceProp* cuda_device_prop_ = nullptr;
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bool is_free_buffer_after_forward_;
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bool is_allocate_buffer_ = false; // TODO (bhsueh) to be deprecated
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};
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} // namespace layers
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} // namespace tensorrt_llm
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