Did a bit more experimentation. The error only appears when I run in parallel. Serial runs execute fine but take a long time. So there is some monkey business going on with parallel ray tracing that is triggered by the image size I was using. I am also using a rather large enzo dataset. Thanks for considering the problem.

 

Dave

From: yt-users [mailto:yt-users-bounces@lists.spacepope.org] On Behalf Of Nathan Goldbaum
Sent: Thursday, May 28, 2015 2:58 PM
To: Discussion of the yt analysis package
Subject: Re: [yt-users] is there a limit on image size?

 

 

 

On Thu, May 28, 2015 at 12:54 PM, Dave Semeraro <semeraro@tacc.utexas.edu> wrote:

 

Helly yt-crowd.

 

I am doing some volume rendering in yt and getting some errors when I try to grow the image size. I am trying to write a png image that is 1024 x 1024. I get the following errors:

 

image_array.py:229: RuntimeWarning: invalid value encountered in multiply

np.multiply(self[:, :, :3], 1.0/cmax, out[:, :, :3])

 

The warning is being triggered here:

 

https://bitbucket.org/yt_analysis/yt/src/8ad62b62439013a33e3a2b568a5a26b567e93f54/yt/data_objects/image_array.py?at=yt#cl-229

 

which I think means cmax is 0.  I'd need to see the full traceback or step through execution in a debugger to figure out why.

 

 

yt_array.py:764: RuntimeWarning: divide by zero encountered in divide

  return YTArray(super(YTArray, self).__rdiv__(lo))

 

The largest image I can generate is about 800x 800. It is a nice image too I tell ya. Just wish I could do a bigger one to submit for publication.

 

There's no limit on the image size for a volume rendering.

 

 

Attached is the script I am using. Any help would be great.

 

Thanks,

Dave Semeraro


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