LuxDL / Lux.jl

Elegant & Performant Scientific Machine Learning in Julia
https://lux.csail.mit.edu/
MIT License
446 stars 50 forks source link

CompatHelper: add new compat entry for KernelAbstractions at version 0.9 for package docs, (keep existing compat) #725

Closed github-actions[bot] closed 1 week ago

github-actions[bot] commented 1 week ago

This pull request sets the compat entry for the KernelAbstractions package to 0.9 for package docs. This keeps the compat entries for earlier versions.

Note: I have not tested your package with this new compat entry. It is your responsibility to make sure that your package tests pass before you merge this pull request. Note: Consider registering a new release of your package immediately after merging this PR, as downstream packages may depend on this for tests to pass.

codecov[bot] commented 1 week ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 36.03%. Comparing base (e3436c7) to head (b769d00).

:exclamation: There is a different number of reports uploaded between BASE (e3436c7) and HEAD (b769d00). Click for more details.

HEAD has 23 uploads less than BASE | Flag | BASE (e3436c7) | HEAD (b769d00) | |------|------|------| ||30|7|
Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #725 +/- ## =========================================== - Coverage 96.75% 36.03% -60.72% =========================================== Files 53 53 Lines 2708 2681 -27 =========================================== - Hits 2620 966 -1654 - Misses 88 1715 +1627 ```

:umbrella: View full report in Codecov by Sentry.
:loudspeaker: Have feedback on the report? Share it here.