Fix np.int deprecation causing AttributeError on NumPy 1.24+#73
Open
Mr-Neutr0n wants to merge 1 commit intoVchitect:mainfrom
Open
Fix np.int deprecation causing AttributeError on NumPy 1.24+#73Mr-Neutr0n wants to merge 1 commit intoVchitect:mainfrom
Mr-Neutr0n wants to merge 1 commit intoVchitect:mainfrom
Conversation
np.int was a deprecated alias for the Python built-in int. It was deprecated in NumPy 1.20 and removed in NumPy 1.24, causing an AttributeError when using the LossSecondMomentResampler (i.e., the "loss-second-moment" schedule sampler) on any modern NumPy version. Replace np.int with np.int64 in both vsr and interpolation timestep samplers.
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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
np.intwas a deprecated alias for the Python built-inint, removed in NumPy 1.24. Using it raisesAttributeError: module 'numpy' has no attribute 'int'.LossSecondMomentResampler(the"loss-second-moment"schedule sampler) on any modern NumPy version (>= 1.24).np.intwithnp.int64in bothvsr/diffusion/timestep_sampler.pyandinterpolation/diffusion/timestep_sampler.py.Relevant NumPy deprecation notice
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
Test plan
LossSecondMomentResamplerinitializes without error on NumPy >= 1.24"loss-second-moment"schedule sampler completes normally