I don’t understand. The current cuda version is 11.7. Installed pytorch version is 1.12.1. Torch can access GPUs, all is fine.
Why does it try to install a different torch version?
` (base) boris@adamastor:~$ nvidia-smi
Fri Oct  7 14:16:24 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 515.65.01    Driver Version: 515.65.01    CUDA Version: 11.7     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA A10          Off  | 00000000:31:00.0 Off |                  Off |
|  0%   40C    P8    23W / 150W |      4MiB / 24564MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   1  NVIDIA A10          Off  | 00000000:4B:00.0 Off |                    0 |
|  0%   41C    P8    23W / 150W |      4MiB / 23028MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   2  NVIDIA A10          Off  | 00000000:B1:00.0 Off |                  Off |
|  0%   44C    P8    24W / 150W |      4MiB / 24564MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   3  NVIDIA A10          Off  | 00000000:CA:00.0 Off |                  Off |
|  0%   38C    P8    21W / 150W |      4MiB / 24564MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|    0   N/A  N/A      1875      G   /usr/lib/xorg/Xorg                  4MiB |
|    1   N/A  N/A      1875      G   /usr/lib/xorg/Xorg                  4MiB |
|    2   N/A  N/A      1875      G   /usr/lib/xorg/Xorg                  4MiB |
|    3   N/A  N/A      1875      G   /usr/lib/xorg/Xorg                  4MiB |
+-----------------------------------------------------------------------------+
pytho(base) boris@adamastor:~$ python
Python 3.10.4 (main, Mar 31 2022, 08:41:55) [GCC 7.5.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
import torch
torch.version
'1.12.1'
torch.cuda.is_available()
True `