rgommers commented on issue #20898: URL: https://github.com/apache/incubator-mxnet/issues/20898#issuecomment-1048460636
> @rgommers do you expect this to become a problem for API standard adoption on the numpy side? To clarify, let me also say: `numpy.array_api` is 100% complete and compliant already, CuPy has a matching namespace (`cupy.array_api`) and there's work ongoing on scikit-learn and SciPy to use that array API standard support. So I'd say that NumPy has already adopted the standard. For MXNet I think it makes sense to not emulate the separate `array_api` module, but do it in the main namespace. The differences are (almost) all either naming things or design warts in NumPy. PyTorch is also adding support in its main namespace. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For additional commands, e-mail: issues-h...@mxnet.apache.org
