j8kqd 2023-03-24T08:14:17.449Z /home/user/.local/lib/python3.8/site-packages/torch/hub.py:267: UserWarning: You are about to download and run code from an untrusted repository. In a future release, this won't be allowed. To add the repository to your trusted list, change the command to {calling_fn}(..., trust_repo=False) and a command prompt will appear asking for an explicit confirmation of trust, or load(..., trust_repo=True), which will assume that the prompt is to be answered with 'yes'. You can also use load(..., trust_repo='check') which will only prompt for confirmation if the repo is not already trusted. This will eventually be the default behaviour
j8kqd 2023-03-24T08:14:17.449Z   warnings.warn(
j8kqd 2023-03-24T08:14:17.521Z Downloading: "https://github.com/NVIDIA/DeepLearningExamples/zipball/torchhub" to /home/user/.cache/torch/hub/torchhub.zip
j8kqd 2023-03-24T08:14:27.204Z /home/user/.cache/torch/hub/NVIDIA_DeepLearningExamples_torchhub/PyTorch/Classification/ConvNets/image_classification/models/common.py:13: UserWarning: pytorch_quantization module not found, quantization will not be available
j8kqd 2023-03-24T08:14:27.204Z   warnings.warn(
j8kqd 2023-03-24T08:14:27.211Z /home/user/.cache/torch/hub/NVIDIA_DeepLearningExamples_torchhub/PyTorch/Classification/ConvNets/image_classification/models/efficientnet.py:17: UserWarning: pytorch_quantization module not found, quantization will not be available
j8kqd 2023-03-24T08:14:27.211Z   warnings.warn(
j8kqd 2023-03-24T08:14:27.793Z Downloading: "https://api.ngc.nvidia.com/v2/models/nvidia/seresnext101_32x4d_pyt_amp/versions/20.06.0/files/nvidia_se-resnext101-32x4d_200821.pth.tar" to /home/user/.cache/torch/hub/checkpoints/nvidia_se-resnext101-32x4d_200821.pth.tar
j8kqd 2023-03-24T08:14:33.757Z 
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j8kqd 2023-03-24T08:14:33.962Z Using cache found in /home/user/.cache/torch/hub/NVIDIA_DeepLearningExamples_torchhub
j8kqd 2023-03-24T08:14:33.962Z Traceback (most recent call last):
j8kqd 2023-03-24T08:14:33.962Z   File "app.py", line 8, in <module>
j8kqd 2023-03-24T08:14:33.962Z     utils = torch.hub.load('NVIDIA/DeepLearningExamples:torchhub', 'nvidia_convnets_processing_utils')
j8kqd 2023-03-24T08:14:33.962Z   File "/home/user/.local/lib/python3.8/site-packages/torch/hub.py", line 542, in load
j8kqd 2023-03-24T08:14:33.963Z     model = _load_local(repo_or_dir, model, *args, **kwargs)
j8kqd 2023-03-24T08:14:33.963Z   File "/home/user/.local/lib/python3.8/site-packages/torch/hub.py", line 572, in _load_local
j8kqd 2023-03-24T08:14:33.963Z     model = entry(*args, **kwargs)
j8kqd 2023-03-24T08:14:33.963Z   File "/home/user/.cache/torch/hub/NVIDIA_DeepLearningExamples_torchhub/PyTorch/Classification/ConvNets/image_classification/models/entrypoints.py", line 51, in nvidia_convnets_processing_utils
j8kqd 2023-03-24T08:14:33.963Z     import validators
j8kqd 2023-03-24T08:14:33.963Z ModuleNotFoundError: No module named 'validators'