Tensorboard

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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 via ood.rc.ufl.edu
  • Open a terminal
    • Enter command: ml tensorflow
    • Enter command: tensorboard --logdir ./pathtolog
    • See printed information including a localhost URL with port number
  • Open a second terminal
    • Enter command: ml ubuntu
    • Enter command: firefox (or chrome)
    • Paste URL into browser to view TensorBoard log
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