2009/2/20 David Warde-Farley <[email protected]>: > Hi Olivier, > > There was this idea posted on the Scipy-user list a while back: > > http://projects.scipy.org/pipermail/scipy-user/2008-August/017954.html > > but it doesn't look like he got anywhere with it, or even got a > response. > > I just tried it and I observe the same behaviour. A quick look at the > SciPy sources tells me there is something fishy. > > subroutine > < > tchar=s,d,c,z>gemm(m,n,k,alpha,a,b,beta,c,trans_a,trans_b,lda,ka,ldb,kb) > ! c = gemm(alpha,a,b,beta=0,c=0,trans_a=0,trans_b=0,overwrite_c=0) > ! Calculate C <- alpha * op(A) * op(B) + beta * C > > I don't read Fortran very well, but it seems to me as though the > Fortran prototype doesn't match the python prototype. > > I'll poke around a little more, but in summary: there's no numpy- > sanctioned way to specify an output array for a dot(), AFAIK. This is > a bit of an annoyance, I agree, though I seem to remember Robert Kern > offering a fairly compelling argument why it's hard. I just don't know > what that argument is :) >
Alright, thanks for the reply. Is there a canonical way /sample code to gain low level access to blas / lapack atlas routines using ctypes from numpy / scipy code? I don't mind fixing the dimensions and the ndtype of my array if it can decrease the memory overhead. BTW, Robert if your insight on this topic would be very much appreciated. -- Olivier _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
