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TensorBoard is used for visually monitoring statistics while a neural network trains. | TensorBoard is used for visually monitoring statistics while a neural network trains. | ||
Our recommendation for using [https://github.com/tensorflow/tensorboard/blob/master/docs/get_started.ipynb TensorBoard] on HiPerGator is to run TensorBoard monitoring as a separate workload within a HiPerGator Desktop session. 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 '''HiPerGator Desktop''' via the '''Interactive Apps Menu''' of [https://ood.rc.ufl.edu OnDemand] | |||
** For resources, something like 1 CPU and 2 GB RAM should be good. | |||
* Connect to the session when it starts and open a "Terminal Emulator" from the desktop Applications menu in the top left. | |||
* 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 this (There may be some errors displayed, but TensorBoard should still work): | |||
... | |||
TensorBoard 2.4.0 at '''<nowiki>http://localhost:6006/</nowiki>''' (Press CTRL-C to quit) | |||
* Copy the printed URL ("<nowiki>http://localhost:6006/</nowiki>" in the example above) | |||
* Press <ENTER> to get back the '$' prompt | |||
* Start a browser: | * Start a browser: | ||
firefox (or chrome) | $ firefox (or chrome) | ||
* Paste the | |||
* Paste the TensorBoard URL into the browser's location bar to view the TensorBoard UI. | |||
Latest revision as of 21:03, 12 December 2023
Back to TensorFlow page
TensorBoard is used for visually monitoring statistics while a neural network trains.
Our recommendation for using TensorBoard on HiPerGator is to run TensorBoard monitoring as a separate workload within a HiPerGator Desktop session. 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 HiPerGator Desktop via the Interactive Apps Menu of OnDemand
- For resources, something like 1 CPU and 2 GB RAM should be good.
- Connect to the session when it starts and open a "Terminal Emulator" from the desktop Applications menu in the top left.
- 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 this (There may be some errors displayed, but TensorBoard should still work):
... 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.