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The previous comment 'Cache the tensor representation of the labels' was misleading, especially for beginners. The code actually creates a numerical representation by storing unique labels in alphabetical order and converting each label to its corresponding index as a tensor.

Updated the comment to clearly explain what's happening: creating numerical representations rather than caching.

Fixes #3646

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  • The issue that is being fixed is referred in the description (see above "Fixes #ISSUE_NUMBER")
  • Only one issue is addressed in this pull request
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The previous comment 'Cache the tensor representation of the labels' was
misleading, especially for beginners. The code actually creates a numerical
representation by storing unique labels in alphabetical order and converting
each label to its corresponding index as a tensor.

Updated the comment to clearly explain what's happening: creating numerical
representations rather than caching.
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pytorch-bot bot commented Nov 24, 2025

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/3658

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Feedback about NLP From Scratch: Classifying Names with a Character-Level RNN

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