Hi!
I'm trying to use dgemm, zgemm and friends from scipy.linalg.blas to
multiply matrices efficiently. As an example, I'd like to do:
c += a.dot(b)
using whatever BLAS scipy is linked to and I want to avoid copies of
large matrices. This works the way I want it:
>>> import numpy as
On Tue, Aug 27, 2019 at 1:18 PM Jens Jørgen Mortensen wrote:
>
> Hi!
>
> I'm trying to use dgemm, zgemm and friends from scipy.linalg.blas to
> multiply matrices efficiently. As an example, I'd like to do:
>
> c += a.dot(b)
>
> using whatever BLAS scipy is linked to and I want to avoid
Hi all,
At https://github.com/numpy/numpy.org/issues/37 we have an update to the
NumPy logo, changing the colors for more contrast / a more modern look.
Please have a look!
What would also be helpful is to know who made this logo, and with what
tool. We'd like to produce a new SVG, but doing
Hi All,
On behalf of the NumPy team I am pleased to announce that NumPy 1.16.5 has
been released. This release fixes bugs reported against the 1.16.4 release
and backports several enhancements from master that seem appropriate for
the LTS release series that is the last to support Python 2.7.
On Mon, Aug 26, 2019 at 8:38 AM Todd wrote:
> I think having some function for common cases like moving average and
> spectrogram would be good. Having a jumping-off point and simple reference
> for testing against could encourage someone to make a faster implementation
> down the road.
>
This
The inplace overwriting is done if f2py can forward the original array down
to the low level.
When it is not contiguous then it has to somehow marshall the view into a
compatible array and that is when the inbetween array is formed. And also
that array can also be overwritten but that would not
On 8/27/19 2:49 PM, Andras Deak wrote:
On Tue, Aug 27, 2019 at 1:18 PM Jens Jørgen Mortensen wrote:
Hi!
I'm trying to use dgemm, zgemm and friends from scipy.linalg.blas to
multiply matrices efficiently. As an example, I'd like to do:
c += a.dot(b)
using whatever BLAS scipy is
Sorry! Stupid me, asking scipy questions on numpy-discussion. Now
continuing on scipy-user. Any help is much appreciated. See short
numpy-discussion thread here:
https://mail.python.org/pipermail/numpy-discussion/2019-August/079945.html
Hi!
I'm trying to use dgemm, zgemm and friends
Hi all,
There will be a NumPy Community meeting Wednesday August 28 at 11 am
Pacific Time. Everyone is invited to join in and edit the work-in-
progress meeting topics and notes:
https://hackmd.io/76o-IxCjQX2mOXO_wwkcpg?both
Best wishes
Sebastian
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