tensorboard execution from google cloud machine

Question

I am new to tensorboard and trying to make it work on my GCE that runs google cloud datalab.

I am using the code from: https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tf15_tensorboard/full_code.py

the data is saved on logs folder on the GCE. therefore the execution command from the datalab is: !tensorboard --logdir="./logs"

i tried opening network port and then using the external IP address with the port (could not reach the graph) gcloud beta compute firewall-rules create tensorboard --action allow --rules tcp:6006 --source-ranges 0.0.0.0/0

running the same thing on my local machine, worked fine. I am using large dataset with big computing and can not work locally.

any idea?

Many thanks, Eila

Answer 1

I tried with port forwarding with no success: Hello,

Help pleasssse

I tried this solution for local machine (MAC): on the local machine, i run: gcloud auth login

on the console: gcloud compute firewall-rules create tensorboard-port --allow tcp:6006

On the Mac, port forward configutaion: gcloud compute ssh datalabvm-pgp --project project_id --zone us-east1-b --ssh-flag="-R" --ssh-flag="6006:localhost:6006"

on the datalab machine: !tensorboard --logdir="./logs" --debug

on the local machine (MAC) http://35.190.179.233:6006

the result: This site can’t be reached

35.190.179.233 took too long to respond. Search Google for 190 179 233 6006 ERR_CONNECTION_TIMED_OUT

what am i missing?

Many thanks!!