> > Running further trials indicate that the problem actually is related to > swapping. If I reduce the model size in the benchmark slightly so that > everything fits into the main memory, the problem disappears. Only when the > memory usage exceeds the 32GB that I have, Python 3.6 will acquire way more > memory (from the swap) than Python 3.5. > > Jan > --
It's very hard to believe... I think there are some factor other than swap cause the problem. Or, can't it reproducible in 64GB RAM machine? -- https://mail.python.org/mailman/listinfo/python-list
