Thanks Hameer for the suggestion. I perhaps should have clarified that this is
a small example for something larger, where I am iterating over a sequence of
arrays, computing some reduction on the first and writing to the second. I am
hoping to keep it all contained within one nditer.
Thanks Er
Hi all,
Our bi-weekly triage-focused NumPy development meeting is tomorrow
(Wednesday, May 20th) at 11 am Pacific Time (18:00 UTC).
Everyone is invited to join in and edit the work-in-progress meeting
topics and notes:
https://hackmd.io/68i_JvOYQfy9ERiHgXMPvg
I encourage everyone to notify us of
On Tue, 2020-05-19 at 17:11 +0100, Eric Wieser wrote:
> Hi Will,
>
> To force an iteration to run along certain axes, I believe you should
> be
> using `op_axes`. Your diagnosis is correct that `external_loop` is
> trying
> to help you be more optimal, since it's purpose is exactly that:
> optimiz
Hi Will,
To force an iteration to run along certain axes, I believe you should be
using `op_axes`. Your diagnosis is correct that `external_loop` is trying
to help you be more optimal, since it's purpose is exactly that:
optimization.
Unfortunately, if you use `op_axes` you'll run into
https://gi
Hi William,
You can simply use a for loop for that task:
Python 3.8.2 | packaged by conda-forge | (default, Apr 24 2020, 07:56:27)
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IPython 7.14.0 -- An enhanced Interactive Python. Type '?' for help.
In [1]: import numpy as np
In [2]
