I have a Intel DL-Training tool setup in a CentOS Virtualbox. The Vbox host is a windows system. I am trying to create a image classification CNN model using GoogLeNet. I have successfully uploaded the images and also created datasets. But when I try to create a model using the dataset, I see that the training hangs at the following step:
I0926 13:27:53.117688 624 net.cpp:388] This network produces output accuracy
I0926 13:27:53.117692 624 net.cpp:388] This network produces output loss
I0926 13:27:53.117697 624 net.cpp:388] This network produces output loss1/loss
I0926 13:27:53.117709 624 net.cpp:388] This network produces output loss2/loss
I0926 13:27:53.352994 624 net.cpp:424] Network initialization done.
I0926 13:27:55.554013 624 solver.cpp:119] Solver scaffolding done.
I0926 13:27:57.511489 624 caffe.cpp:329] Starting Optimization
I0926 13:27:57.511575 624 solver.cpp:491] Solving OneMoreTry
I0926 13:27:57.511592 624 solver.cpp:492] Learning Rate Policy: step
The default LR Policy "poly" also hangs in the same manner. I also tried "step" as shown above. I also tried executing caffe command from the Jupyter shell/terminal. In all cases, it hangs at this same point.
There is no .caffemodel file created.
What could be the issue ?