Cuda Error when launching example

[L-ED]

user@machine:/path_to/BRECQ# python main_imagenet.py --data_path /path_to/IMAGENET_2012/ --arch resnet18 --n_bits_w 2 --channel_wise --n_bits_a 4 --act_quant --test_before_calibration
You are using fake SyncBatchNorm2d who is actually the official BatchNorm2d
==> Using Pytorch Dataset
Downloading: "https://github.com/yhhhli/BRECQ/releases/download/v1.0/resnet18_imagenet.pth.tar" to /root/.cache/torch/hub/checkpoints/resnet18_imagenet.pth.tar
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 44.6M/44.6M [00:27<00:00, 1.70MB/s]
Traceback (most recent call last):
File "main_imagenet.py", line 178, in
cnn.cuda()
File "/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py", line 680, in cuda
return self._apply(lambda t: t.cuda(device))
File "/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py", line 570, in _apply
module._apply(fn)
File "/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py", line 593, in _apply
param_applied = fn(param)
File "/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py", line 680, in
return self._apply(lambda t: t.cuda(device))
RuntimeError: CUDA error: out of memory
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.

[yhhhli]

That means your GPU memory is full, can you check your GPU memory limit? or maybe some other tasks are running along with this python task.