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Manually zero the gradients after updating weights by using machine e… #3399

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@bintang-aswam bintang-aswam commented Jun 17, 2025 •
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Fixes #ISSUE_NUMBER

Description

Manually zero the gradients after updating weights by using machine epsilon for standard float (64-bit).

import sys

a.grad = loss*sys.float_info.epsilon
b.grad = loss*sys.float_info.epsilon
c.grad = loss*sys.float_info.epsilon
d.grad = loss*sys.float_info.epsilon

Checklist

  • 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
  • Labels from the issue that this PR is fixing are added to this pull request
  • No unnecessary issues are included into this pull request.

@bintang-aswam
Manually zero the gradients after updating weights by using machine e…
eb49369 
…psilon for standard float (64-bit)

Manually zero the gradients after updating weights by using machine epsilon for standard float (64-bit).
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pytorch-bot bot commented Jun 17, 2025 •
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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/3399

Note: Links to docs will display an error until the docs builds have been completed.

✅ No Failures

As of commit 4187d85 with merge base 8476a99 (image):
💚 Looks good so far! There are no failures yet. 💚

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@bintang-aswam @facebook-github-bot @AlannaBurke