fix: use dynamic num_classes for random labels in training #45
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Dear @willisma,
Thanks for sharing your awesome work. It has been a pleasure to read through it. I noticed a small inconsistency in the training script. Although the number of classes can be configured, the default value (1000) is still hardcoded in a few other places. This causes an error when the number of classes is set to a value smaller than 1000.
It might be safer to rely on the dynamically defined number of classes throughout the script to avoid this issue.