Repository navigation
Conversation
sarlinpe
added this pull request to stack #43
October 9, 2026 15:45
PyTorch 2.7 renamed cache_size_limit / fail_on_cache_limit_hit to recompile_limit / fail_on_recompile_limit_hit; patching the new names raises on older releases. Resolve the names once and set the limit values in a single place.
sarlinpe
force-pushed
the
fix/da3-dynamo-limits
branch
from
October 10, 2026 00:07
0258c72 to
ab986b6
Compare
This branch has not been deployed
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Summary
PyTorch 2.7 renamed the Dynamo options
cache_size_limit/fail_on_cache_limit_hittorecompile_limit/fail_on_recompile_limit_hit, so patching the new names fails on PyTorch 2.6. DA3 inference now resolves the names supported by the installed PyTorch once (_dynamo_recompile_limits) and sets the limit values in a single place.Testing
Patched config verified on PyTorch 2.6 (
cache_size_limit=64,fail_on_cache_limit_hit=True, restored on exit).