模型下载错误

[lmxhappy]

----------------------------------------------- [START 2019-10-29 19:04:31] ---------------------------------------------------

                       |------------ Train -------|----------- Valid ---------|----------Best Results---|------------|

mode iter epoch | acc loss f1_macro | acc loss f1_macro | loss f1_macro | time | -------------------------------------------------------------------------------------------------------------------------| Downloading: "http://data.lip6.fr/cadene/pretrainedmodels/se_resnext101_32x4d-3b2fe3d8.pth" to /Users/didi/.cache/torch/checkpoints/se_resnext101_32x4d-3b2fe3d8.pth 5%|▍ | 9289184/196466866 [01:32<31:04, 100393.23it/s] Traceback (most recent call last): File "/Users/didi/Desktop/git/BaiDuBigData19-URFC/multimain.py", line 249, in main() File "/Users/didi/Desktop/git/BaiDuBigData19-URFC/multimain.py", line 164, in main model=MultiModalNet("se_resnext101_32x4d","dpn26",0.5) File "/Users/didi/Desktop/git/BaiDuBigData19-URFC/multimodal.py", line 248, in init img_model = pretrainedmodels.dict[backbone1](num_classes=1000, pretrained='imagenet') #seresnext101 File "/anaconda3/lib/python3.7/site-packages/pretrainedmodels/models/senet.py", line 441, in se_resnext101_32x4d initialize_pretrained_model(model, num_classes, settings) File "/anaconda3/lib/python3.7/site-packages/pretrainedmodels/models/senet.py", line 373, in initialize_pretrained_model model.load_state_dict(model_zoo.load_url(settings['url'])) File "/anaconda3/lib/python3.7/site-packages/torch/hub.py", line 433, in load_state_dict_from_url _download_url_to_file(url, cached_file, hash_prefix, progress=progress) File "/anaconda3/lib/python3.7/site-packages/torch/hub.py", line 377, in _download_url_to_file .format(hash_prefix, digest)) RuntimeError: invalid hash value (expected "3b2fe3d8", got "200fdf586d5c96a4798edb0700a486d14fc0578cf94d91ebe44af17c89853475")