Are pretrained weights corrupted? #5
Description
Hi, I tried to load your resnet-50 pretrained weights but displayed error messages like the below.
It seems that the weight is corrupt. Do I need any preparations after downloading the weight? If really corrupted, would you please fix them?
Thanks in advance.
Python 3.8.10 (default, Jun 26 2021, 12:40:55)
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IPython 8.2.0 -- An enhanced Interactive Python. Type '?' for help.
In [1]: import torch
In [2]: a = torch.load('FractalDB-1000_res50.pth')
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
Input In [2], in <cell line: 1>()
----> 1 a = torch.load('FractalDB-1000_res50.pth')
File ~/.pyenv/versions/3.8.10/lib/python3.8/site-packages/torch/serialization.py:713, in load(f, map_location, pickle_module, **pickle_load_args)
711 return torch.jit.load(opened_file)
712 return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
--> 713 return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File ~/.pyenv/versions/3.8.10/lib/python3.8/site-packages/torch/serialization.py:938, in _legacy_load(f, map_location, pickle_module, **pickle_load_args)
936 assert key in deserialized_objects
937 typed_storage = deserialized_objects[key]
--> 938 typed_storage._storage._set_from_file(
939 f, offset, f_should_read_directly,
940 torch._utils._element_size(typed_storage.dtype))
941 if offset is not None:
942 offset = f.tell()
RuntimeError: unexpected EOF, expected 2813703 more bytes. The file might be corrupted.
In [3]: torch.__version__
Out[3]: '1.11.0'