Are pretrained weights corrupted?

[hs2022gh]

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)
Type 'copyright', 'credits' or 'license' for more information
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'

[hirokatsukataoka16]

Dear @hs2022gh ,

So sorry for the delayed reply. I received the same comment recently.
I noticed that the model size was different from our server. Now I replaced the model files on the drive: https://drive.google.com/drive/folders/1tTD-cKKEgBjacCi4ZJ6bRYOv6FsjtGt_?usp=sharing