Skip to content

Update pytorch weights_only parameter to False #114

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
wants to merge 2 commits into from
Closed

Update pytorch weights_only parameter to False #114

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
d86c7c0
pytorch: Set weights_only=False when loading models from a trusted so…
adarshan-intel Feb 10, 2025
986add8
fixup! pytorch: Set weights_only=False when loading models from a tru…
adarshan-intel Feb 18, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 6 additions & 2 deletions pytorch/pytorchexample.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,8 +4,12 @@
from torchvision import models
import torch

# Load the model from a file
alexnet = torch.load("alexnet-pretrained.pt")
# Load the model from a file. This file needs to be obtained from a trusted
# source, because it can contain code, not only data.
# Note: For PyTorch 2.6 and later, direct unpickling with weights_only=True
# (which was made the default) can fail if the model file contains more than
# just the weights and includes classes or functions that are not allowlisted.
alexnet = torch.load("alexnet-pretrained.pt", weights_only=False)

# Prepare a transform to get the input image into a format (e.g., x,y dimensions) the classifier
# expects.
Expand Down