rtx 3060 notebook cuda 与 gpu驱动安装

cudnn的下载与安装:

需要用户登录nvidia,然后再进入该地址:

https://developer.nvidia.com/rdp/cudnn-archive

https://developer.download.nvidia.cn/compute/cuda/opensource/

https://developer.nvidia.com/gpu-accelerated-libraries

CUPTI安装:

https://docs.nvidia.com/cupti/Cupti/index.html

cuda11.2.2中,CUPTI是随着cuda一起安装的,不过路径有变动,需要手动copy到对应目录:

比如,复制如下文件:

D:\Program Files\NVIDIAGPUComputingToolkit\CUDA\v11.2\extras\CUPTI\lib64\cupti64_2020.3.1.dll

粘贴至如下目录:

D:\Program Files\NVIDIAGPUComputingToolkit\CUDA\v11.2\bin\

cudnn安装在win10上,指导书:

https://docs.nvidia.com/deeplearning/cudnn/install-guide/index.html#install-windows

下载、解压、拷贝粘贴其中的dll、inlucde头文件和lib,至相应的目录。如文中所言:

  1. Copy the following files into the CUDA Toolkit directory.
    1. Copy \cuda\bin\cudnn*.dll to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\vx.x\bin.
    2. Copy \cuda\include\cudnn*.h to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\vx.x\include.
    3. Copy \cuda\lib\x64\cudnn*.lib to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\vx.x\lib\x64.

TensorRT下载地址:

https://developer.nvidia.com/nvidia-tensorrt-download

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