RuntimeError: CUDA out of memory

[CozmoxJC]

I was trying to train the model of the owl figure data by
python train.py /home/mea303/Documents/Python/NeRF_project/unisurf-main/configs/DTU/scan0122.yaml

but ran into the error message:
Traceback (most recent call last):
File "/home/mea303/Documents/Python/NeRF_project/unisurf-main/train.py", line 112, in <module> loss_dict = trainer.train_step(batch, it)
...
File "/home/mea303/Documents/Python/NeRF_project/unisurf-main/model/network.py", line 112, in gradient gradients = torch.autograd.grad(
File "/home/mea303/anaconda3/envs/unisurf/lib/python3.10/site-packages/torch/autograd/__init__.py", line 275, in grad return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
RuntimeError: CUDA out of memory. Tried to allocate 64.00 MiB (GPU 0; 7.79 GiB total capacity; 2.13 GiB already allocated; 23.94 MiB free; 2.20 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

I'm using RTX 3060 Ti with cuda version 11.3 on Ubuntu 20.04

Is that graphic card not good enough? How do I fix this problem?

[CozmoxJC]

nvm, I'm just being dumb.
Just find the process engaging gpu memory and kill it or reboot the PC.