On Thu, Nov 12, 2020 at 1:54 PM Matti Picus <matti.pi...@gmail.com> wrote:
> > On 11/10/20 8:19 PM, Ralf Gommers wrote: > > Hi all, > > > > I'd like to share an update on this topic. The draft array API > > standard is now ready for wider review: > > > > - Blog post: https://data-apis.org/blog/array_api_standard_release > > <https://data-apis.org/blog/array_api_standard_release/> > > - Array API standard document: > > https://data-apis.github.io/array-api/latest/ > > - Repo: https://github.com/data-apis/array-api/ > > > > It would be great if people - and in particular, NumPy maintainers - > > could have a look at it and see if that looks sensible from a NumPy > > perspective and whether the goals and benefits of adopting it are > > described clearly enough and are compelling. > > > > I think it is compelling for a first version. The test suite and > benchmark suite will be valuable tools. I hope future versions > standardize complex numbers as a dtype. Yes, that's definitely a desire - when implementations are there/ready. At the moment most libraries have very incomplete support for complex dtypes, largely because they're not very important for deep learning. Also NumPy's implementations/choices are shaky in places, and that's being turned up by the PyTorch effort that's ongoing now to implement complex dtype support in a NumPy-compatible way. I realize there is a limit to > the breadth of the scope of functions to be covered. Is there a page > that lists them in one place? For instance I tried to look up what the > standard has to say on issue https://github.com/numpy/numpy/issues/17760 > about using bincount on unt64 arrays. It took me a while to figure out > that bincount was not in the API (although unique(..., return_counts) is). > That's a good idea and still missing, thanks for asking. The test suite that's in development has a complete list [1]. In the document itself Sphinx search works, but it should be easier to get a complete overview perhaps (although it requires some thought - the NumPy docs don't have everything on one page either). [1] https://github.com/data-apis/array-api-tests/tree/master/array_api_tests/function_stubs Cheers, Ralf > > Matti > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion >
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