dfdx / Yota.jl

Reverse-mode automatic differentiation in Julia
MIT License
158 stars 12 forks source link

Faster grad #132

Closed dfdx closed 1 year ago

codecov-commenter commented 1 year ago

Codecov Report

Base: 81.44% // Head: 81.70% // Increases project coverage by +0.26% :tada:

Coverage data is based on head (24b679b) compared to base (ad94b3e). Patch coverage: 100.00% of modified lines in pull request are covered.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #132 +/- ## ========================================== + Coverage 81.44% 81.70% +0.26% ========================================== Files 8 8 Lines 485 492 +7 ========================================== + Hits 395 402 +7 Misses 90 90 ``` | [Impacted Files](https://codecov.io/gh/dfdx/Yota.jl/pull/132?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Andrei+Zhabinski) | Coverage Δ | | |---|---|---| | [src/grad.jl](https://codecov.io/gh/dfdx/Yota.jl/pull/132/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Andrei+Zhabinski#diff-c3JjL2dyYWQuamw=) | `90.36% <100.00%> (+0.11%)` | :arrow_up: | | [src/rulesets.jl](https://codecov.io/gh/dfdx/Yota.jl/pull/132/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Andrei+Zhabinski#diff-c3JjL3J1bGVzZXRzLmps) | `96.69% <100.00%> (+0.14%)` | :arrow_up: | Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Andrei+Zhabinski). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Andrei+Zhabinski)

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