[yt-users] potential memory leak when using snapshot
Wolfgang Kastaun
physik at fangwolg.de
Mon Jun 22 04:24:40 PDT 2015
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.
More information about the yt-users
mailing list