RuntimeError: Expected hasRecord("version") to be true, but got false.

[caposerenity]

I tried to use the pretrained vision transformer,but i got this error when loading weights
env:pytorch 1.9+torchvision 0.10.0, colab

details of error:

RuntimeError Traceback (most recent call last)
in ()
27 model = eval(args.model)(
28 pretrained=(not args.scratch),
---> 29 img_size=crop_size, num_classes=num_classes, patch_size=args.patch, args=args).cuda()
30 logger.info('Model {}'.format(model))
31 else:

5 frames
/content/drive/My Drive/Colab Notebooks/on-the-adversarial-robustness-of-visual-transformer-master/training/timm_vit/vit.py in vit_base_patch16_224_in21k(pretrained, patch_size, args, **kwargs)
336 model_kwargs = dict(
337 patch_size=patch_size, embed_dim=768, depth=depth, num_heads=12, representation_size=768, **kwargs)
--> 338 model = _create_vision_transformer('vit_base_patch16_224_in21k', pretrained=pretrained, args=args, **model_kwargs)
339 return model
340

/content/drive/My Drive/Colab Notebooks/on-the-adversarial-robustness-of-visual-transformer-master/training/timm_vit/vit.py in _create_vision_transformer(variant, pretrained, distilled, **kwargs)
272 load_pretrained(
273 model, num_classes=num_classes, in_chans=kwargs.get('in_chans', 3),
--> 274 filter_fn=partial(checkpoint_filter_fn, args=kwargs.pop('args'), model=model))
275 else:
276 _logger.warning('Training from scratch')

/usr/local/lib/python3.7/dist-packages/timm/models/helpers.py in load_pretrained(model, default_cfg, num_classes, in_chans, filter_fn, strict, progress)
182 else:
183 _logger.info(f'Loading pretrained weights from url ({pretrained_url})')
--> 184 state_dict = load_state_dict_from_url(pretrained_url, progress=progress, map_location='cpu')
185 if filter_fn is not None:
186 # for backwards compat with filter fn that take one arg, try one first, the two

/usr/local/lib/python3.7/dist-packages/torch/hub.py in load_state_dict_from_url(url, model_dir, map_location, progress, check_hash, file_name)
556 if _is_legacy_zip_format(cached_file):
557 return _legacy_zip_load(cached_file, model_dir, map_location)
--> 558 return torch.load(cached_file, map_location=map_location)

/usr/local/lib/python3.7/dist-packages/torch/serialization.py in load(f, map_location, pickle_module, **pickle_load_args)
598 # reset back to the original position.
599 orig_position = opened_file.tell()
--> 600 with _open_zipfile_reader(opened_file) as opened_zipfile:
601 if _is_torchscript_zip(opened_zipfile):
602 warnings.warn("'torch.load' received a zip file that looks like a TorchScript archive"

/usr/local/lib/python3.7/dist-packages/torch/serialization.py in init(self, name_or_buffer)
240 class _open_zipfile_reader(_opener):
241 def init(self, name_or_buffer) -> None:
--> 242 super(_open_zipfile_reader, self).init(torch._C.PyTorchFileReader(name_or_buffer))
243
244

RuntimeError: Expected hasRecord("version") to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)

[MissionAbort]

Hey bro, I got such situation the same as you, and I'm wondering that have you solved this error and how? Thanks.

[caposerenity]

Hi, I'm sorry that I don't remember detailed solutions for this problem. I only remember that this is caused by pytorch version issues or colab bugs, and it's irrelevant with the code itself.

[maggieHao]

Hi there, I have met the same error, have you fixed it now?

[Lakshita028]

Hey! I'm facing the same error. Is it because of the model? Or is it because of the version itself?

[TalhaUusuf]

same issue faced