Ok, that works fine with python. But not in ipython... is there some other trick ? (there's a whole collection of _* variables in there...) Cyrille.
Robert Kern a écrit : > 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. > _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
