ubuntu20.04+GTX1050Ti+CUDA+CUDNN

2024-07-16 15:04| 来源: 网络整理| 查看: 265

参考

https://blog.csdn.net/lu_linux/article/details/117171970

注意，等待确认！！！如果有问题参照

https://blog.csdn.net/m0_52650517/article/details/112908930

1查看驱动

dpkg -l | grep nvidia

2/删除多余驱动

sudo apt autoremove nvidia* --purge

https://www.nvidia.cn/drivers/results/175761/

3、

#赋权限： chmod +x NVIDIA-Linux-x86_64-465.31.run #安装： sudo ./NVIDIA-Linux-x86_64-465.31.run

4、安装cuda

wget https://developer.download.nvidia.com/compute/cuda/11.3.1/local_installers/cuda_11.3.1_465.19.01_linux.run sudo sh cuda_11.3.1_465.19.01_linux.run

5/zhu yi一定注意不要安装驱动

not install drivers

chen@chen-OptiPlex-7020:~/chendown/cuda$ sudo sh cuda_11.3.1_465.19.01_linux.run =========== = Summary = =========== Driver: Not Selected Toolkit: Installed in /usr/local/cuda-11.3/ Samples: Installed in /home/chen/, but missing recommended libraries Please make sure that - PATH includes /usr/local/cuda-11.3/bin - LD_LIBRARY_PATH includes /usr/local/cuda-11.3/lib64, or, add /usr/local/cuda-11.3/lib64 to /etc/ld.so.conf and run ldconfig as root To uninstall the CUDA Toolkit, run cuda-uninstaller in /usr/local/cuda-11.3/bin ***WARNING: Incomplete installation! This installation did not install the CUDA Driver. A driver of version at least 465.00 is required for CUDA 11.3 functionality to work. To install the driver using this installer, run the following command, replacing with the name of this run file: sudo .run --silent --driver Logfile is /var/log/cuda-installer.log

7/zai在bashrc中添加,主目录中ctrl+h就会出来

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-11.3/lib64 export PATH=$PATH:/usr/local/cuda-11.3/bin export CUDA_HOME=$CUDA_HOME:/usr/local/cuda-11.3

8/重新载入

source ~/.bashrc

9检查cuda

nvcc --version

nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2021 NVIDIA Corporation Built on Mon_May__3_19:15:13_PDT_2021 Cuda compilation tools, release 11.3, V11.3.109 Build cuda_11.3.r11.3/compiler.29920130_0

10/cudnn,我的版本下载为cudnn-11.3-linux-x64-v8.2.0.53，在解压目录下输入如下：

sudo cp cuda/include/cudnn* /usr/local/cuda/include/ sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64/ sudo chmod a+r /usr/local/cuda/include/cudnn* sudo chmod a+r /usr/local/cuda/lib64/libcudnn* 查看cudnn版本

在终端输入

cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2

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