On Thu, Apr 20, 2023 at 12:39 PM Evgeni Burovski <evgeny.burovs...@gmail.com> wrote:
> If symmetry w.r.t. pytorch is any guide, it was nice to have it: > > In [38]: float(torch.as_tensor([2])) > Out[38]: 2.0 > > In [39]: float(np.asarray([2])) > Out[39]: 2.0 > My question would be: Did they have a positive use case for this behavior, or were they just reflecting NumPy's behavior? AFAICR, the main reasoning on our side was that there was an unambiguous value that we _could_ return, so we might as well. And in our later experience, it was more trouble than it was worth. -- Robert Kern
_______________________________________________ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
