Hi Nathan,

I've tried and my peak mem usage is ~200 MB. So the GC is working for my machine.

Here is my setup info:

macOS 10.13.4

python=3.6.2

yt=3.4.1

Best,

Bili

On Mon, May 7, 2018 at 9:38 AM, Marianne Corvellec <marianne.corvellec@gmail.com> wrote:

Hi Nathan,

Trying this out a little blindly, but I don't think I can reproduce
this memory leak either.

I have run the commands you shared; I got the following, just in case:

    $ python encapsulated_yt.py
/home/marianne/miniconda3/envs/yt/lib/python3.6/site-packages/yt/frontends/athena/data_structures.py:521:
RuntimeWarning: invalid value encountered in true_divide
  self.domain_dimensions =
np.round(self.domain_width/grid['dds']).astype('int32')

I monitored manually (with my eyes) memory usage from running `htop`;
it seemed to go up a little and that was it; there was no linear
increase.

Here is my setup info:

Ubuntu 16.04.4 LTS
python=3.6.2
yt=3.4.1
(running in a conda env)

Best,
Marianne

On Mon, May 7, 2018 at 11:07 AM, Nathan Goldbaum <nathan12343@gmail.com> wrote:
> Hi all,
>
> If anyone has some time to check, I'd appreciate it if you could let me know
> if you can reproduce the memory leak described by Rixin Li in this issue:
>
> https://github.com/yt-project/yt/issues/1776
>
> To check, just do the following:
>
> $ curl -JO http://use.yt/upload/33b7e323
> $ tar xzvf yt_load_memory_leak_issue1776.tar.gz
> $ cd yt_load_memory_leak_issue1776
> $ python encapsulated_yt.py
>
> (the tarball is only half a megabyte)
>
> On my machine that script has a peak memory usage of ~180 MB or so and the
> garbage collector is able to destroy the dataset objects that get created.
> However, Rixin reports linearly increasing memory usage with time, which
> seems to be because the dataset objects or something created by the datasets
> can't be garbage collected.
>
> Unfortunately it's difficult to remotely debug issues like this so it would
> be very nice to find someone else who can trigger the memory leak.
>
> Thanks for your help,
>
> Nathan
>

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