Sure can. That gives us:
TypeError: Caught TypeError in DataLoader worker process 0.
Original Traceback (most recent call last):
  File "/home/user/.local/lib/python3.6/site-packages/torch/utils/data/_utils/worker.py", line 178, in _worker_loop
    data = fetcher.fetch(index)
  File "/home/user/.local/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/home/user/.local/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/home/user/.local/lib/python3.6/site-packages/torchvision/datasets/ucf101.py", line 105, in __getitem__
    video = self.transform(video)
  File "/home/user/.local/lib/python3.6/site-packages/torchvision/transforms/transforms.py", line 101, in __call__
    return F.to_tensor(pic)
  File "/home/user/.local/lib/python3.6/site-packages/torchvision/transforms/functional.py", line 54, in to_tensor
    raise TypeError('pic should be PIL Image or ndarray. Got {}'.format(type(pic)))
TypeError: pic should be PIL Image or ndarray. Got <class 'torch.Tensor'>

I notice the UCF101 dataset causes this warning to be thrown by torchvision’s video.py 5:
/home/user/.local/lib/python3.6/site-packages/torchvision/io/video.py:107: UserWarning: The pts_unit 'pts' gives wrong results and will be removed in a follow-up version. Please use pts_unit 'sec'.
  "follow-up version. Please use pts_unit 'sec'.")

Maybe this default could be causing an issue?