Difference between revisions of "Tensorboard"
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Johnbullard (talk | contribs) (Clarify some instructions based on user feedback.) |
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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 | + | * 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): | |
| − | |||
| − | |||
| − | |||
| − | * After a few seconds, TensorBoard will display a message similar to: | ||
... | ... | ||
TensorBoard 2.4.0 at '''<nowiki>http://localhost:6006/</nowiki>''' (Press CTRL-C to quit) | TensorBoard 2.4.0 at '''<nowiki>http://localhost:6006/</nowiki>''' (Press CTRL-C to quit) | ||
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.