Difference between revisions of "Tensorboard"
Jump to navigation
Jump to search
Moskalenko (talk | contribs) |
|||
(4 intermediate revisions by 3 users not shown) | |||
Line 1: | Line 1: | ||
− | Back to [[ | + | Back to [[TensorFlow]] page |
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.