[Numpy-discussion] Numpy's policy for releasing memory
Charles R Harris
Tue Nov 13 08:52:54 CST 2012
On Tue, Nov 13, 2012 at 2:27 AM, Austin Bingham <firstname.lastname@example.org>wrote:
> OK, if numpy is just subject to Python's behavior then what I'm seeing
> must be due to the vagaries of Python. I've noticed that things like
> removing a particular line of code or reordering seemingly unrelated calls
> (unrelated to the memory issue, that is) can affect when memory is reported
> as free. I'll just assume that everything is in order and carry on. Thanks!
If you are running interactively in IPython, references will be kept to
return values. That can eventually eat up memory if you are working with a
lot of big arrays.
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