Cyrille Rosset wrote: > 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 ?
No, x.flags is still being stored in _. It still has a reference to x. Evaluate something else (e.g. ">>> 1") to clear that out and the memory should be released. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
