Fix deprecated issue for IgniteInfo

[KumoLiu]

Set weights_only=True because this warning.

You are using torch.load with weights_only=False (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See [pytorch/SECURITY.md at main · pytorch/pytorch · GitHub 2](https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models) for more details). In a future release, the default value for weights_only will be flipped to True. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via torch.serialization.add_safe_globals. We recommend you start setting weights_only=True for any use case where you don’t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.

Checks

• Avoid including large-size files in the PR.
• Clean up long text outputs from code cells in the notebook.
• For security purposes, please check the contents and remove any sensitive info such as user names and private key.
• Ensure (1) hyperlinks and markdown anchors are working (2) use relative paths for tutorial repo files (3) put figure and graphs in the ./figure folder
• Notebook runs automatically ./runner.sh -t <path to .ipynb file>

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[mingxin-zheng]

Hi @KumoLiu , can you make a note why we would like to set weights_only to True either in the PR message or in the notebook?
The rest looks good to me.

[KumoLiu]

Hi @KumoLiu , can you make a note why we would like to set weights_only to True either in the PR message or in the notebook? The rest looks good to me.

Sure, added it in the description.