Centos7 failed to install CUDA10.2 ？

AI & Data Science Deep Learning (Training & Inference) TensorRT
1

Description

I have successfully installed CUDA10.2 driver on CentOS7, but there are some problems in my installation of CUDA10.2 after installation, which are as follows:

22
221288×291 8.8 KB

My installation is implemented as follows：
sudo sh cuda_10.2.89_440.33.01_linux.run --target /home/zhangwt13/cuda-files

Environment

TensorRT Version: /
GPU Type: 2080ti
Nvidia Driver Version: 440.95.01
CUDA Version: 10.2
CUDNN Version: /
Operating System + Version: centos7.8
Python Version (if applicable): 3.8
TensorFlow Version (if applicable): /
PyTorch Version (if applicable): /
Baremetal or Container (if container which image + tag):

Relevant Files

Please attach or include links to any models, data, files, or scripts necessary to reproduce your issue. (Github repo, Google Drive, Dropbox, etc.)

Steps To Reproduce

Please include:

  • Exact steps/commands to build your repro
  • Exact steps/commands to run your repro
  • Full traceback of errors encountered
2

Hi @1965281904
Your issue looks like the one mentioned in below post.

Can you please check the driver logs defined at the location.

Thanks!

3

Hi @ AakankshaS
my log info as follows:

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221288×291 8.8 KB

how can I solve it ?thanks.

4

Hi @1965281904,
I guess you are checking cuda installer logs, you need to see the driver installer logs.

Thanks!

5

Hi @ AakankshaS
the nvidia-installer.log info as follows:
nvidia-installer log file ‘/var/log/nvidia-installer.log’
creation time: Sun Aug 23 20:52:31 2020
installer version: 440.33.01

PATH: /sbin:/bin:/usr/sbin:/usr/bin

nvidia-installer command line:
./nvidia-installer
–ui=none
–no-questions
–accept-license
–disable-nouveau
–no-cc-version-check
–install-libglvnd

Using built-in stream user interface
→ Detected 32 CPUs online; setting concurrency level to 32.
ERROR: An NVIDIA kernel module ‘nvidia’ appears to already be loaded in your kernel. This may be because it is in use (for example, by an X server, a CUDA program, or the NVIDIA Persistence Daemon), but this may also happen if your kernel was configured without support for module unloading. Please be sure to exit any programs that may be using the GPU(s) before attempting to upgrade your driver. If no GPU-based programs are running, you know that your kernel supports module unloading, and you still receive this message, then an error may have occured that has corrupted an NVIDIA kernel module’s usage count, for which the simplest remedy is to reboot your computer.
ERROR: Installation has failed. Please see the file ‘/var/log/nvidia-installer.log’ for details. You may find suggestions on fixing installation problems in the README available on the Linux driver download page at www.nvidia.com.

6

Hi @1965281904,
Can you please validate the installation steps from the below link.

Thanks!