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 I guess this boils down to what is a scalar really: is it `scalar.size == 1` or `scalar.ndim == 0` or something else. But that's just a digression, nevermind. On Thu, Apr 20, 2023 at 7:25 PM Stephan Hoyer <shoyer@gmail.com> wrote:
On Thu, Apr 20, 2023 at 9:12 AM Sebastian Berg <sebastian@sipsolutions.net> wrote:
Hi all,
Unlike conversions of 0-d arrays via:
float(np.array([1]))
conversions of 1-D or higher dimensional arrays with a single element are a bit strange:
float(np.array([1]))
And deprecating it has come up often enough with many in favor, but also many worried about the possible annoyance to users. I decided to give the PR a shot, I may have misread the room on it though:
https://github.com/numpy/numpy/pull/10615
So if this turns out noisy (or you may simply disagree), I am happy to revert!
This looks like a great clean-up to me, thanks for giving this a try! _______________________________________________ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-leave@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: evgeny.burovskiy@gmail.com