Java exception 2016a in Jupyter/IPython over linux

3 Ansichten (letzte 30 Tage)
Willie Wong
Willie Wong am 29 Mär. 2016
Bearbeitet: Cosmo am 17 Aug. 2016
Something regressed between R2015aSP1 and R2016a, when MATLAB is called via Jupyter Notebook using the matlab_kernel python interface.
With R2015aSP1, everything works as expected.
With R2016a, things work except for plotting. When trying to plot anything, we get the error
!!!!!!!!
java.lang.Exception: Stack trace
at java.lang.Thread.dumpStack(Unknown Source)
at com.mathworks.hg.util.OutputHelperProcessingException.<init>(OutputHelperProcessingException.java:17)
at com.mathworks.hg.util.HGRasterOutputHelper.generateOutput(HGRasterOutputHelper.java:170)
!!!!!!!!
after which, the MATLAB instance starts to eat up system RAM and becomes unresponsive. Help?
  1 Kommentar
Cosmo
Cosmo am 17 Aug. 2016
Bearbeitet: Cosmo am 17 Aug. 2016
Here's the related issue on GitHub:
It appears that the developer of pymatbridge is looking into it. Apparently it's something to do with saved figures being too large.

Melden Sie sich an, um zu kommentieren.

Antworten (1)

Adithya Addanki
Adithya Addanki am 31 Mär. 2016
Hi Willie,
It may be possible that the graphics drivers are out of date. Please try updating the graphic drivers.
Additionally, please refer to the link below for fixing low-level graphics issues:
I hope this helps.
Thank you,
Adithya
  1 Kommentar
Willie Wong
Willie Wong am 31 Mär. 2016
That's not it.
1. The Xorg graphics drivers are xf86_video_intel version 2.99.917 which is the most recent one.
2. The video is provided by an integrated Intel chip, which has Intel-supported open source drivers in the kernel. I am running the 4.4.5-1 kernel, which was released mid March. So that's also quite very new.
3. I am really doubtful that it is a driver issue: running the MATLAB desktop itself gives no problem what so ever, it is only when MATLAB is called through Jupyter Notebook that causes the problem. And also as I said the 2015aSP1 build gives no problem either, even when called from Jupyter Notebook.

Melden Sie sich an, um zu kommentieren.

Kategorien

Mehr zu Integration with Online Platforms finden Sie in Help Center und File Exchange

Produkte

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by