Can not download pre-trained models because SSL certificate has expired

🐛 Describe the bug

The SSL certificate of the download.pytorch.org domain has expired, and it is no longer possible to download the pre-trained models.

Code:

import torch
import torchvision

model = torchvision.models.resnet50(pretrained=True)

Error message:

Downloading: "https://download.pytorch.org/models/resnet50-0676ba61.pth" to /root/.cache/torch/hub/checkpoints/resnet50-0676ba61.pth
---------------------------------------------------------------------------
SSLCertVerificationError                  Traceback (most recent call last)
[/usr/lib/python3.7/urllib/request.py](https://localhost:8080/#) in do_open(self, http_class, req, **http_conn_args)
   1349                 h.request(req.get_method(), req.selector, req.data, headers,
-> 1350                           encode_chunked=req.has_header('Transfer-encoding'))
   1351             except OSError as err: # timeout error

19 frames
SSLCertVerificationError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: certificate has expired (_ssl.c:1091)

During handling of the above exception, another exception occurred:

URLError                                  Traceback (most recent call last)
[/usr/lib/python3.7/urllib/request.py](https://localhost:8080/#) in do_open(self, http_class, req, **http_conn_args)
   1350                           encode_chunked=req.has_header('Transfer-encoding'))
   1351             except OSError as err: # timeout error
-> 1352                 raise URLError(err)
   1353             r = h.getresponse()
   1354         except:

URLError: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: certificate has expired (_ssl.c:1091)>

Versions

Collecting environment information...
PyTorch version: 1.10.0+cu111
Is debug build: False
CUDA used to build PyTorch: 11.1
ROCM used to build PyTorch: N/A

OS: Ubuntu 18.04.5 LTS (x86_64)
GCC version: (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
Clang version: 6.0.0-1ubuntu2 (tags/RELEASE_600/final)
CMake version: version 3.12.0
Libc version: glibc-2.26

Python version: 3.7.13 (default, Mar 16 2022, 17:37:17)  [GCC 7.5.0] (64-bit runtime)
Python platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic
Is CUDA available: False
CUDA runtime version: 11.1.105
GPU models and configuration: Could not collect
Nvidia driver version: Could not collect
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.7.6.5
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.0.5
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.0.5
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.0.5
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.0.5
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.0.5
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.0.5
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.0.5
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] numpy==1.21.5
[pip3] torch==1.10.0+cu111
[pip3] torchaudio==0.10.0+cu111
[pip3] torchsummary==1.5.1
[pip3] torchtext==0.11.0
[pip3] torchvision==0.11.1+cu111
[conda] Could not collect

[RahulBhalley]

Thank you! 😃

[taesiri]

@RahulBhalley Check the error message, and you will see the full URL of the model.

In your case (your issue):

Downloading: "https://download.pytorch.org/models/alexnet-owt-7be5be79.pth" to /Users/me/.cache/torch/hub/checkpoints/alexnet-owt-7be5be79.pth