- 1 分钟前

按照这篇博客222 实例安装 pytorch 环境时,CUDA 和 GPU 驱动不可用。

检查 CUDA 版本:

[root@222 inger]# cat /usr/local/cuda/version.txt
CUDA Version 10.0.130
[root@222 ~]# cd /usr/local/cuda/bin
[root@222 bin]# ./nvcc -V
nvcc: NVIDIA (R) Cuda compiler vdriver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Sat_Aug_25_21:08:01_CDT_2018
Cuda compilation tools, release 10.0, V10.0.130

检查 GPU 驱动版本

[root@222 inger]# cat /proc/driver/nvidia/version
NVRM version: NVIDIA UNIX x86_64 Kernel Module  418.88  Mon Jul 22 20:45:26 CDT 2019
GCC version:  gcc version 4.8.5 20150623 (Red Hat 4.8.5-39) (GCC)

按照 这篇博客 执行 2.2 代码,报错,说 Nvidia 驱动太旧,让更新。

[root@222 ~]# python
Python 3.6.4 (default, Sep  7 2020, 08:00:22)
[GCC 4.8.5 20150623 (Red Hat 4.8.5-39)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> torch.zeros(1).cuda()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/python3/lib/python3.6/site-packages/torch/cuda/", line 186, in _lazy_init
  File "/usr/local/python3/lib/python3.6/site-packages/torch/cuda/", line 77, in _check_driver
    of the CUDA driver.""".format(str(torch._C._cuda_getDriverVersion())))
The NVIDIA driver on your system is too old (found version 10010).
Please update your GPU driver by downloading and installing a new
version from the URL:
Alternatively, go to: to install
a PyTorch version that has been compiled with your version
of the CUDA driver.

我在解决的过程中,使用nvidia-smi 查看 GPU 驱动版本型号和 CUDA Driver API 的型号报了如下错误:

[root@222 ~]# nvidia-smi
Unable to determine the device handle for GPU 0000:00:05.0: Unknown Error
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