Dag Sverre Seljebotn d.s.seljebotn at astro.uio.no writes:
On 02/18/2013 05:26 PM, rif wrote:
I have no answer to the question, but I was curious as to why directly
calling the cblas would be 10x-20x slower in the first place. That
seems surprising, although I'm just learning about
V. Armando Solé sole at esrf.fr writes:
from scipy.linalg.blas import fblas
dgemm = fblas.dgemm._cpointer
sgemm = fblas.sgemm._cpointer
I'm going to try and benchmark it asap.
Thanks
___
NumPy-Discussion mailing list
On 02/20/2013 10:18 AM, Sergio wrote:
Dag Sverre Seljebotn d.s.seljebotn at astro.uio.no writes:
On 02/18/2013 05:26 PM, rif wrote:
I have no answer to the question, but I was curious as to why directly
calling the cblas would be 10x-20x slower in the first place. That
seems surprising,
I tried to save a vector as a csv, but it didn't work.
The vector is:
a[0,0]
array([-0.70710678-0.70710678j, 0.70710678+0.70710678j,
0.70710678-0.70710678j, 0.70710678+0.70710678j,
-0.70710678-0.70710678j, 0.70710678-0.70710678j,
-0.70710678+0.70710678j,
On Wed, Feb 20, 2013 at 1:25 PM, Neal Becker ndbeck...@gmail.com wrote:
I tried to save a vector as a csv, but it didn't work.
The vector is:
a[0,0]
array([-0.70710678-0.70710678j, 0.70710678+0.70710678j,
0.70710678-0.70710678j, 0.70710678+0.70710678j,
...
np.savetxt ('test.out',
Robert Kern wrote:
On Wed, Feb 20, 2013 at 1:25 PM, Neal Becker ndbeck...@gmail.com wrote:
I tried to save a vector as a csv, but it didn't work.
The vector is:
a[0,0]
array([-0.70710678-0.70710678j, 0.70710678+0.70710678j,
0.70710678-0.70710678j, 0.70710678+0.70710678j,
...
Hi,
We also have the same problem for Theano. Having one reusable blas on
windows would be useful to many project. Also, if possible try to make it
accesible from C,C++ too. Not just cython.
Fred
On Feb 20, 2013 5:15 AM, Dag Sverre Seljebotn d.s.seljeb...@astro.uio.no
wrote:
On 02/20/2013
Le mercredi 20 février 2013 à 13:35 +, Robert Kern a écrit :
On Wed, Feb 20, 2013 at 1:25 PM, Neal Becker ndbeck...@gmail.com wrote:
I tried to save a vector as a csv, but it didn't work.
The vector is:
a[0,0]
array([-0.70710678-0.70710678j, 0.70710678+0.70710678j,
Hello,
I've updated the pull request following feedback:
https://github.com/numpy/numpy/pull/2954
It caters all the comments raised up-to-now
On Thu, Jan 31, 2013 at 5:43 PM, Oscar Villellas
oscar.villel...@continuum.io wrote:
Hello,
At Continuum Analytics we've been working on a submodule
On Thu, Jan 31, 2013 at 9:35 PM, Robert Kern robert.k...@gmail.com wrote:
On Thu, Jan 31, 2013 at 7:44 PM, Nathaniel Smith n...@pobox.com wrote:
On Thu, Jan 31, 2013 at 8:43 AM, Oscar Villellas
oscar.villel...@continuum.io wrote:
Hello,
At Continuum Analytics we've been working on a
On Feb 20, 2013 12:47 AM, Rob Clewley rob.clew...@gmail.com wrote:
Hi all, and apologies for a little cross-posting:
First, thanks to those of you who have used and contributed to the
PyDSTool math modeling environment [1]. This project has greatly
benefitted from the underlying platform of
On Wed, Feb 20, 2013 at 8:27 PM, Todd toddr...@gmail.com wrote:
I am looking at documentation now, but a couple things from what I seen:
Are you particularly tied to sourceforge? It seems a lot of python
development is moving to github, and it makes third party contribution much
easier. You
On Wed, Feb 20, 2013 at 11:21 PM, Peter Cock p.j.a.c...@googlemail.com wrote:
On Wed, Feb 20, 2013 at 8:27 PM, Todd toddr...@gmail.com wrote:
I am looking at documentation now, but a couple things from what I seen:
Are you particularly tied to sourceforge? It seems a lot of python
On Wed, Feb 20, 2013 at 11:23 PM, Robert Kern wrote:
On Wed, Feb 20, 2013 at 11:21 PM, Peter Cock wrote:
On Wed, Feb 20, 2013 at 8:27 PM, Todd wrote:
I am looking at documentation now, but a couple things from what I seen:
Are you particularly tied to sourceforge? It seems a lot of python
14 matches
Mail list logo
