You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Similarly to the OP in this thread I would like to speed up some functions (where some matrix exponentions and matrix logarithms are taken) with numba. I followed the discussion about numba for scipy. Nevertheless, I didn't find whether numba_scipy supports functions like scipy.linalg.exp, sciply.linalg.logm or scipy.lingalg.sqrtm. As there is no expm alternative in numpy, I suppose that this might be one of the core-functions of a scipy extension of numba(?)
But since I haven't found any (and when I try it it doesn't work) I expect that there is no way of using numba if logm, sqrtm and expm appear in the funcions I wanted to speed up?
Thank you!
The text was updated successfully, but these errors were encountered:
Hi!
Similarly to the OP in this thread I would like to speed up some functions (where some matrix exponentions and matrix logarithms are taken) with numba. I followed the discussion about numba for scipy. Nevertheless, I didn't find whether numba_scipy supports functions like scipy.linalg.exp, sciply.linalg.logm or scipy.lingalg.sqrtm. As there is no expm alternative in numpy, I suppose that this might be one of the core-functions of a scipy extension of numba(?)
But since I haven't found any (and when I try it it doesn't work) I expect that there is no way of using numba if logm, sqrtm and expm appear in the funcions I wanted to speed up?
Thank you!
The text was updated successfully, but these errors were encountered: