Below is the result of nivdia-smi command. Which shows that no process is running. but when i try to run my code it says
RuntimeError: CUDA out of memory. Tried to allocate 1.02 GiB (GPU 3; 7.80 GiB total capacity; 6.24 GiB already allocated; 258.31 MiB free; 6.25 GiB reserved in total by PyTorch)
nivdia-smi  results:
Thu Dec 23 11:52:33 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 455.23.05    Driver Version: 455.23.05    CUDA Version: 11.1     |
|-------------------------------+----------------------+----------------------+
| 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 RTX 208...  Off  | 00000000:05:00.0 Off |                  N/A |
| 30%   43C    P8    19W / 250W |      3MiB /  7981MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   1  GeForce RTX 208...  Off  | 00000000:06:00.0 Off |                  N/A |
| 27%   41C    P8     3W / 250W |      3MiB /  7982MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   2  GeForce RTX 208...  Off  | 00000000:09:00.0 Off |                  N/A |
| 27%   39C    P8     2W / 250W |      3MiB /  7982MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   3  GeForce RTX 208...  Off  | 00000000:0A:00.0 Off |                  N/A |
| 27%   35C    P8     3W / 250W |      3MiB /  7982MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

Note:
1- I already tried: torch.cuda.empty_cache()
2- This is a shared sever and I have user access not root access.