added hypotenuse function(hypo) to the Numpy Frontend #11589
Closed
Conversation
This file contains 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
Co-authored-by: Rishabh Kumar <rishabhkkumarsc1@gmail.com>
Co-authored by: pillarxyz <mail@aymanlafaz.com>, nassimberrada <Nassim>
Co-authored by MahmoudAshraf97 <hassouna97.ma@gmail.com>
Co-authored-by: Fotios Spyridakos <72918194+fspyridakos@users.noreply.github.com>
…anged `bias_add` so that it also accepts "NHWC" type format in `data_format`
Co-authored-by: zaeemansari70 <zaeemansari70@gmail.com>
Resolve Issue in Intelligent Testing Syntax
* changes after force push * version unpinning --------- Co-authored-by: Rishabh Kumar <rishabhkkumarsc1@gmail.com>
* changes after force push * version unpinning * unpinned numpy --------- Co-authored-by: Rishabh Kumar <rishabhkkumarsc1@gmail.com>
* add count.nonzero to torch frontend * reformat file
Co-authored-by: juliagsy <67888047+juliagsy@users.noreply.github.com>
…t the product of reverse(<list>)
* add instance frontends.torch.{h,v,d}split and test
* replace redundant _get_split_locations helper in torch's with ivy's
* fix merge
* changes after force push * version unpinning * unpinned numpy * unpin versions from dockerfile cpu * changes to optional --------- Co-authored-by: Rishabh Kumar <rishabhkkumarsc1@gmail.com>
… api and updated the corresponding functions in torch's frontend
Co-authored-by: sherry30 <sherrytst30@gmail.com>
ivy-leaves
added
the
NumPy Frontend
|
Hey @AryanSharma9917, can you please take a quick look at the failing tests? |
okey |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
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Outdated suggestions cannot be applied.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.
Solved issue - #2696 and added hypotenuse function(hypo) to the Numpy Frontend