Cannot train the dataset which has more than 500items total in ShapeNet Part segmentation datesat.

[robin1chen2]

Thank you for the wonderful work.But I have run into an error I could not find solution.
My environment is ubuntu16.04，cuda9.2，cudnn7.6.4,pytorch1.1.0.
I can train the dataset in ShapeNet such as ‘bag’,'cap','earphone' and etc.
Their item numbes are under 500.
But when I tried to train the 'airplane','chair','table'an etc. I find the error below:

I cannot find where is the codes to generate this file.
I checked the memory and the video memory,and they didn't reach the upper limit.
Thank you.

[suhangpro]

This line of code calls the caffe script (tools/extra/parse_log.py) to parse the .log file into .log.train and .log.test. The number of samples shouldn't matter here. You can try to run that script within your caffe installation directly and see if it's the cause of your issue.