Hi, I'm not sure this is the right mailing list for this, but it seems there's a memory leak when looking at flags :
>>> from numpy import * >>> x=ones(50000000) #==> python use 25% of memory (ok) >>> del x #==> memory usage fall back to almost zero (as seen in top) Thqt's good. but if I look at flags before the del : >>> x=ones(50000000) >>> x.flags C_CONTIGUOUS : True F_CONTIGUOUS : True OWNDATA : True WRITEABLE : True ALIGNED : True UPDATEIFCOPY : False >>> del x >>> who() Upper bound on total bytes = 0 That looks nice, but the memory usage by python (in top) is still 25%... Isn't it a bug ? Cheers Cyrille Rosset. _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
