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TensorBoard is used for visually monitoring statistics while a neural network trains.

One recommendation for using TensorBoard on HiPerGator is to run TensorBoard monitoring as a separate workload. Many neural network software frameworks are able to stream training data to a TensorBoard log file. Here are the steps to monitor the log separately from your training workload:

  • Request a 1 CPU 2 GB RAM HiPerGator Desktop or a console session via OnDemand
  • Start a tensorboard instance in the resulting terminal/shell (replace "./pathtolog" with the path to where your TensorFlow process is storing its logs):
$ module load tensorflow ubuntu
$ tensorboard --logdir ./pathtolog &
  • After a few seconds, TensorBoard will display a message similar to:
TensorBoard 2.4.0 at http://localhost:6006/ (Press CTRL-C to quit)
  • Copy the printed URL ("http://localhost:6006/" in the example above)
  • Press <ENTER> to get back the '$' prompt
  • Start a browser:
$ firefox (or chrome)
  • Paste the TensorBoard URL into the browser's location bar to view the TensorBoard UI.