Using Tensorboard during the tutorial#
Prerequisites:
the FL experiment should be ready to run in your jupyter notebook
your JupyterHub IP address
a network port from the table below
Network ports#
Friday, July 7th#
user |
address |
|---|---|
francesco |
6006 |
lucia |
6007 |
yannick_shaofeng |
6006 |
emma |
6007 |
celine |
6008 |
isabella |
6009 |
brice |
6010 |
melanie |
6011 |
theo |
6012 |
javier |
6008 |
hugo |
6009 |
aleksandar |
6010 |
narges |
6011 |
charlotte |
6012 |
hanae |
6013 |
yevgenyi |
6006 |
lea |
6007 |
theodore |
6008 |
takoua |
6009 |
paula |
6010 |
quoc_viet |
6011 |
franka |
6012 |
Thursday, July 6th#
user |
port |
|---|---|
francesco |
6006 |
lucia |
6007 |
fouzi |
6008 |
david |
6009 |
iege |
6010 |
idan |
6011 |
colleen |
6012 |
shambhavi |
6013 |
olivier |
6014 |
rebeca |
6008 |
yannick_shaofeng |
6009 |
charles_andrew |
6010 |
jack |
6011 |
abhishek |
6012 |
maelys |
6013 |
valentin |
6014 |
nilesh |
6008 |
floriane |
6009 |
aymeric |
6010 |
stanislas |
6011 |
jorge |
6012 |
camille |
6013 |
Running Tensorboard#
Follow the instructions provided in the notebook tutorials. It amounts to finding out in which directory the tensorboard data are saved, and executing
tensorboard --logdir <PATH TO TENSORBOARD DATA> --host 0.0.0.0 --port <PORT FROM TABLE ABOVE>
Accessing Tensorboard#
Copy the IP address that you used to access JupyterHub, and append :<your port number> at the end and paste it in your browser.
For example, if your address was 1.2.3.4 and your port is 8456, you would insert http://1.2.3.4:8456 in your browser search bar.