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Hardware ProductUpdate 1 source(s)

Bug Fix release

Updated September 26, 2026 · 2:46 PM · source date June 18, 2020

Summary

Bug Fix release pytorch / pytorch Public Notifications You must be signed in to change notification settings Fork 30.5k Star 103k Bug Fix release zou3519 released this 18 Jun 16:43 v1.5.1 3c31d73 This commit was created on GitHub.com and signed with GitHub’s verified signature . GPG key ID: 4AEE18F83AFDEB23 Expired Verified Learn about vigilant mode .

Why it matters

This ProductUpdate is relevant to the technology intelligence record because it involves AMD, Intel, GitHub. The source article should remain the factual reference for follow-up coverage.

Key facts
  • pytorch / pytorch Public Notifications You must be signed in to change notification settings Fork 30.5k Star 103k Bug Fix release zou3519 released this 18 Jun 16:43 v1.5.1 3c31d73 This commit was created on GitHub.com and signed with GitHub’s verified signature .
  • GPG key ID: 4AEE18F83AFDEB23 Expired Verified Learn about vigilant mode .
  • PyTorch 1.5.1 Release Notes Backwards Incompatible Changes Known Issues and Workarounds Critical Fixes Crashes and Error Fixes Other Fixes Backwards Incompatible Changes Autograd: Operations that return integer-type tensors now always returns tensors that don’t require grad ( #37789 ).
  • This most notably affects torch.argmin , torch.argmax , and torch.argsort .
  • This change is BC-Breaking because previously one could obtain an integer-type tensor that requires grad in 1.5.0.
  • However, said tensors were not usable by autograd; calling .backward() on them resulted in an error, so most users are likely to not have been relying on this behavior.
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