[yt-users] potential memory leak when using snapshot

[Matthew Turk]

Hi Wolfgang,

This is indeed puzzling; I believe that what's happening is that the
volume isn't created until you do the snapshot.  I'm going to attempt
to replicate your bug here and let you know.

-Matt

On Mon, Jun 22, 2015 at 6:24 AM, Wolfgang Kastaun <physik at fangwolg.de> wrote:
> Hi,
>
> I've been trying to make a movie from volume renderings with Yt. The
> data is available as uniform numpy arrays, which are loaded using non-Yt
> infrastructure. For each movie frame, the following is done:
>
> Create Yt data from 3D numpy array rho
> dct = {"density":rho}
> ytdat = yt.load_uniform_grid(dct, sh, bbox=bbox)
>
> Create camera
> cam     = ytdat.camera(c, L, W, N, self.transf, fields['density'],
>                 north_vector=[0,0,1], steady_north=True,
>                 sub_samples=5, log_fields=[True])
>
>
> cam.transfer_function.map_to_colormap(self.lgmin,self.lgmax,
>                                       scale=15.0, colormap='algae')
>
>
> Save movie frame as png:
> cam.snapshot(fn=name)
>
>
> Even with medium sized datasets (60^3), this runs out of memory after 30
> frames or so. Some observations:
>
> Doing the same thing, but without the cam.snapshot(fn=name), the memory
> leak is gone.
>
>
> Creating the camera just once from the first dataset, and use
> cam.snapshot every frame does *not* increase memory usage. Of course, it
> then renders the same data over and over.
>
>
> Maybe I am doing something wrong. For example, is there a way to just
> replace the dataset for an existing camera?
>
> Any hints ?
>
>
> Best Regards,
> Wolfgang Kastaun.
>
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