Description
🐛 Bug
As opacus/utils/module_utils.py, line 102 use torch.load without setting weights_only=False, a resent update in pytorch pytorch/pytorch#137602 is the direct cause of this error.
I suppose here needed to be fixed like huggingface/transformers@1339a14
_pickle.UnpicklingError: Weights only load failed. This file can still be loaded, to do so you have two options, do those steps only if you trust the source of the checkpoint.
(1) Re-running torch.load with weights_only set to False will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source.
(2) Alternatively, to load with weights_only=True please check the recommended steps in the following error message.
WeightsUnpickler error: Unsupported global: GLOBAL torchvision.models.resnet.ResNet was not an allowed global by default. Please use torch.serialization.add_safe_globals([ResNet]) or the torch.serialization.safe_globals([ResNet]) context manager to allowlist this global if you trust this class/function.
Please reproduce using our template Colab and post here the link
To Reproduce
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Steps to reproduce the behavior:
- opacus/utils/module_utils.py, line 102 called torch.load
Expected behavior
Environment
Please copy and paste the output from our
environment collection script
(or fill out the checklist below manually).
You can get the script and run it with:
wget https://raw.githubusercontent.com/pytorch/pytorch/master/torch/utils/collect_env.py
# For security purposes, please check the contents of collect_env.py before running it.
python collect_env.py
- PyTorch Version (e.g., 1.0):
- OS (e.g., Linux):
- How you installed PyTorch (
conda,pip, source): - Build command you used (if compiling from source):
- Python version:
- CUDA/cuDNN version:
- GPU models and configuration:
- Any other relevant information: