On Tue, Jul 3, 2018 at 7:13 AM Marten van Kerkwijk < m.h.vankerkw...@gmail.com> wrote:
> Overall, would one way to move forward be to merge the first PR (flexible > and frozen) and defer the broadcastable dimensions? > This would have my support. I have similar misgivings about broadcastable dimensions to those raised by Nathaniel. In particular, I wonder if there is some way to make use of this functionality internally in NumPy for functions like all_equal() without exposing it as part of the external gufunc API.
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