pngsz 2023-03-22T07:51:21.906Z /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
pngsz 2023-03-22T07:51:21.906Z   warnings.warn(
pngsz 2023-03-22T07:51:21.966Z Downloading: "https://github.com/NVIDIA/DeepLearningExamples/zipball/torchhub" to /home/user/.cache/torch/hub/torchhub.zip
pngsz 2023-03-22T07:51:30.408Z /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
pngsz 2023-03-22T07:51:30.408Z   warnings.warn(
pngsz 2023-03-22T07:51:30.414Z /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
pngsz 2023-03-22T07:51:30.414Z   warnings.warn(
pngsz 2023-03-22T07:51:30.572Z Downloading: "https://api.ngc.nvidia.com/v2/models/nvidia/efficientnet_b0_pyt_amp/versions/20.12.0/files/nvidia_efficientnet-b0_210412.pth" to /home/user/.cache/torch/hub/checkpoints/nvidia_efficientnet-b0_210412.pth
pngsz 2023-03-22T07:51:33.111Z 
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pngsz 2023-03-22T07:51:33.151Z Using cache found in /home/user/.cache/torch/hub/NVIDIA_DeepLearningExamples_torchhub
pngsz 2023-03-22T07:51:33.151Z Traceback (most recent call last):
pngsz 2023-03-22T07:51:33.151Z   File "app.py", line 8, in <module>
pngsz 2023-03-22T07:51:33.151Z     utils = torch.hub.load('NVIDIA/DeepLearningExamples:torchhub', 'nvidia_convnets_processing_utils')
pngsz 2023-03-22T07:51:33.151Z   File "/home/user/.local/lib/python3.8/site-packages/torch/hub.py", line 542, in load
pngsz 2023-03-22T07:51:33.152Z     model = _load_local(repo_or_dir, model, *args, **kwargs)
pngsz 2023-03-22T07:51:33.152Z   File "/home/user/.local/lib/python3.8/site-packages/torch/hub.py", line 572, in _load_local
pngsz 2023-03-22T07:51:33.152Z     model = entry(*args, **kwargs)
pngsz 2023-03-22T07:51:33.152Z   File "/home/user/.cache/torch/hub/NVIDIA_DeepLearningExamples_torchhub/PyTorch/Classification/ConvNets/image_classification/models/entrypoints.py", line 51, in nvidia_convnets_processing_utils
pngsz 2023-03-22T07:51:33.152Z     import validators
pngsz 2023-03-22T07:51:33.152Z ModuleNotFoundError: No module named 'validators'