Jan Gosmann wrote: > Hi, > > I have a program which uses twice as much memory when I run it in Python > 3.6 than when I run it in Python 3.5 (about 60GB instead of 30GB). I > tried to find the reason for that, but the cumulated size (measured with > sys.getsizeof) of all objects returned by gc.get_objects accumulates > only to about 17GB in both cases. The program also uses NumPy and I > tried tracking allocations with the NumPy allocation tracker in the > relevant part of the program, but again the number of allocations are > almost identical and the reported maximum memory usage perfectly agrees > (it is about 18GB). > > Any ideas where this significant increase in memory consumption could > come from? Or any ideas how to further debug this? > > Looking at the changelog it seems that the only change in Python 3.6 > affecting memory usage is the new dict implementation which is supposed > to be more memory efficient. In fact, this is what I find if I run the > program with a smaller test cases. There the memory consumption is less > with Python 3.6.
Are you perchance comparing 32-bit Python 3.5 with 64-bit Python 3.6? -- https://mail.python.org/mailman/listinfo/python-list
