Hi,
I would like to know how I can make a call to the blas function gemm in
numpy. I need a multiply and accumulate for matrix and I don't want to
allocate a new matrix each time I do it.
thanks for your time
Frederic Bastien
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Numpy-discussion maili
On 9-Jan-09, at 4:31 PM, Robert Kern wrote:
> You can't in numpy. With scipy.linalg.fblas.dgemm() and the right
> arguments, you can.
Make sure your output array is Fortran-ordered, however, otherwise
copies will be made.
David
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Numpy-discussion m
You are right, some here told me about this. I should have posted it here
for reference.
thanks
Fred
On Fri, Apr 24, 2009 at 1:45 PM, David Warde-Farley wrote:
> On 9-Jan-09, at 4:31 PM, Robert Kern wrote:
>
> > You can't in numpy. With scipy.linalg.fblas.dgemm() and the right
> > arguments, yo
Can anyone explain the results below? It seems that for small matrices
dot(x,y) is outperforming dgemm(1,x,y,0,y,overwrite_c=1), but for larger
matrices the latter is winning. In principle it seems like I ought to be
able to always do better with inplace rather than making copies?
From looking
On 28-Apr-09, at 10:56 AM, Dan Goodman wrote:
> Can anyone explain the results below? It seems that for small matrices
> dot(x,y) is outperforming dgemm(1,x,y,0,y,overwrite_c=1), but for
> larger
> matrices the latter is winning. In principle it seems like I ought
> to be
> able to always do b
On Fri, Jan 9, 2009 at 08:25, Frédéric Bastien wrote:
> Hi,
>
> I would like to know how I can make a call to the blas function gemm in
> numpy. I need a multiply and accumulate for matrix and I don't want to
> allocate a new matrix each time I do it.
You can't in numpy. With scipy.linalg.fblas.d
Thanks, and sorry for the delayed reply.
Fred
On Fri, Jan 9, 2009 at 4:31 PM, Robert Kern wrote:
> On Fri, Jan 9, 2009 at 08:25, Frédéric Bastien wrote:
> > Hi,
> >
> > I would like to know how I can make a call to the blas function gemm in
> > numpy. I need a multiply and accumulate for matri
