Hello!
I recently got a new MacBook Pro with an M2 Pro CPU (ARM64). When I ran some
numerical computations (ICA to be precise), I was surprised how slow it was -
way slower than e.g. my almost 10 year old Intel Mac. It turns out that the
default OpenBLAS, which is what you get when installing t
On Wed, Mar 22, 2023 at 9:34 AM Neal Becker wrote:
> I have a function F
> def F(a, b):
> c = a * b
>
> Initially, a is a scalar, b[240,3000]. No problem.
> Later I want to use F, where a[240] is a vector. I want to allow both the
> scalar and vector cases. So I write:
>
> def F(a,b):
>
I have a function F
def F(a, b):
c = a * b
Initially, a is a scalar, b[240,3000]. No problem.
Later I want to use F, where a[240] is a vector. I want to allow both the
scalar and vector cases. So I write:
def F(a,b):
a = np.atleast_1d(a)
c = a[:,None] * b
This now works for scalar a o
On Mon, 2023-03-13 at 11:22 +0100, Sebastian Berg wrote:
> Hi all,
>
> Without concerns voiced, I will probbaly merge the PR:
>
> https://github.com/numpy/numpy/pull/23240
I put this PR in, if it turns out there are issues or general dislike,
please let us know and we can reconsider.
- Seb
