Hi all,
I am a beginner of PyTorch and try to master the PyTorch library.
I met a problem about pretrained model loading with the following codes:
import torchvision.models as models
resnet18 = models.resnet18(pretrained=True)

The error information is listed as follows:
Downloading: "https://download.pytorch.org/models/resnet18-5c106cde.pth" to /home/xxx/.cache/torch/checkpoints/resnet18-5c106cde.pth

---------------------------------------------------------------------------
TqdmKeyError                              Traceback (most recent call last)
<ipython-input-1-ca5a1cdda949> in <module>
      1 import torchvision.models as models
----> 2 resnet18 = models.resnet18(pretrained=True)
      3 #resnet18 = models.resnet18()

~/.conda/envs/wzh/lib/python3.6/site-packages/torchvision/models/resnet.py in resnet18(pretrained, progress, **kwargs)
    229     """
    230     return _resnet('resnet18', BasicBlock, [2, 2, 2, 2], pretrained, progress,
--> 231                    **kwargs)
    232 
    233 

~/.conda/envs/wzh/lib/python3.6/site-packages/torchvision/models/resnet.py in _resnet(arch, block, layers, pretrained, progress, **kwargs)
    215     if pretrained:
    216         state_dict = load_state_dict_from_url(model_urls[arch],
--> 217                                               progress=progress)
    218         model.load_state_dict(state_dict)
    219     return model

~/.conda/envs/wzh/lib/python3.6/site-packages/torch/hub.py in load_state_dict_from_url(url, model_dir, map_location, progress, check_hash)
    483         sys.stderr.write('Downloading: "{}" to {}\n'.format(url, cached_file))
    484         hash_prefix = HASH_REGEX.search(filename).group(1) if check_hash else None
--> 485         download_url_to_file(url, cached_file, hash_prefix, progress=progress)
    486 
    487     # Note: extractall() defaults to overwrite file if exists. No need to clean up beforehand.

~/.conda/envs/wzh/lib/python3.6/site-packages/torch/hub.py in download_url_to_file(url, dst, hash_prefix, progress)
    402             sha256 = hashlib.sha256()
    403         with tqdm(total=file_size, disable=not progress,
--> 404                   unit='B', unit_scale=True, unit_divisor=1024) as pbar:
    405             while True:
    406                 buffer = u.read(8192)

~/.local/lib/python3.6/site-packages/tqdm/_tqdm.py in __init__(self, iterable, desc, total, leave, file, ncols, mininterval, maxinterval, miniters, ascii, disable, unit, unit_scale, dynamic_ncols, smoothing, bar_format, initial, position, postfix, gui, **kwargs)
    660 """, fp_write=getattr(file, 'write', sys.stderr.write))
    661                 if "nested" in kwargs else
--> 662                 TqdmKeyError("Unknown argument(s): " + str(kwargs)))
    663 
    664         # Preprocess the arguments

TqdmKeyError: "Unknown argument(s): {'unit_divisor': 1024}"


If I removed “pretrained=True”, the codes work normally. I tried to google the error information, but no useful information returned. Could you please help me about this error?  Thanks