Improve flsim/utils/example_utils.py compatibility

[menglutao]

Types of changes

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to change)
• Docs change / refactoring / dependency upgrade

Motivation and Context / Related issue

This PR introduces changes in example_utils.py to handle different data types more robustly, ensuring compatibility with a wider range of datasets.

Changes:

Updated the collate_fn and fl_training_batch methods in example_utils.py to include type checks and conversions. If user is incorporating datasets beyond the initially supported ones(cifar10/cifar100 etc), these changes will solve potential compatibility issues when integrating new datasets.

How Has This Been Tested (if it applies)

Validated the updated example_utils.py with a new dataset to confirm compatibility.

Checklist

• The documentation is up-to-date with the changes I made.
• I have read the CONTRIBUTING document and completed the CLA (see CONTRIBUTING).
• All tests passed, and additional code has been covered with new tests.

The tests are failing even from the initial repo I forked from there. I suggest the team improve on the tests.

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[menglutao]

@JohnlNguyen Hi Johnl, could you please review my PR when you're available? And about the CircleCI Pipeline, how to pass this?

[facebook-github-bot]

@JohnlNguyen has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

[JohnlNguyen]

Thanks for the PR! Sorry I was out and didn't see this.

[facebook-github-bot]

@JohnlNguyen has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

[facebook-github-bot]

@JohnlNguyen has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.