Hello,
everytime I try to transfer a tensor from my cpu to my gpu this error occurs:
RuntimeError: CUDA error: all CUDA-capable devices are busy or unavailable
I installed Pytorch via the suggested command line on the website, and run a Nvidia 1060 6 GB.
Can anyone tell me why it is not working?
nvidia-smi
Fri Apr 23 15:40:38 2021
±----------------------------------------------------------------------------+
| NVIDIA-SMI 460.32.03    Driver Version: 460.32.03    CUDA Version: 11.2     |
|-------------------------------±---------------------±---------------------+
| 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  GeForce GTX 106…  Off  | 00000000:26:00.0  On |                  N/A |
| 27%   56C    P0    30W / 120W |    401MiB /  6075MiB |      0%      Default |
|                               |                      |                  N/A |
±------------------------------±---------------------±---------------------+
±----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|    0   N/A  N/A       948      G   /usr/lib/xorg/Xorg                259MiB |
|    0   N/A  N/A      1539      G   /usr/bin/gnome-shell               66MiB |
|    0   N/A  N/A      2699      G   …gAAAAAAAAA --shared-files        8MiB |
|    0   N/A  N/A      2817      G   …AAAAAAAA== --shared-files       60MiB |
±----------------------------------------------------------------------------+