Error using TensorBoard in a Jupyter Notebook on the Google Cloud Platform

I followed instructions to launch TensorBoard like this:

`get_ipython().system_raw( “tensorboard --logdir {} --host 0.0.0.0 --port 6006 &” .format(OUTDIR) )

get_ipython().system_raw(“./assets/ngrok http 6006 &”)

!curl -s http://localhost:4040/api/tunnels | python3 -c
“import sys, json; print(json.load(sys.stdin)[‘tunnels’][0][‘public_url’])” `

The following error messages show up:

Traceback (most recent call last): File “”, line 1, in File “/usr/lib/python3.5/json/init.py”, line 268, in load parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw) File “/usr/lib/python3.5/json/init.py”, line 319, in loads return _default_decoder.decode(s) File “/usr/lib/python3.5/json/decoder.py”, line 339, in decode obj, end = self.raw_decode(s, idx=_w(s, 0).end()) File “/usr/lib/python3.5/json/decoder.py”, line 357, in raw_decode raise JSONDecodeError(“Expecting value”, s, err.value) from None json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

Before running this code, I had already trained a Tensorflow model and exported it to the directory “OUTDIR”. The tunnel connection is not set up and therefore no public URL is generated.

Can anyone kindly give me some advice as to how to solve it? Thank you very much!

[vlasenkoalexey]

I think the easiest way to workaround this is to run tensorboard in a JupyterLab console: tensorboard --port=7000 --logdir logs

And then setup port forwarding using gcloud command: gcloud beta compute ssh --zone “{your zone}” “{your instance name}” --project “{your project name}” – -L 7000:localhost:7000

You can copy this command for your VM from gcloud console VM instance details page, click SSH drop down and select ‘view gcloud command’. Then just add port you want to forward as – -L 7000:localhost:7000

After this you should be able to access tensorboard running on your cloud VM as localhost:7000

[tarrade]

Same issue using GCP AI Platform notebook (TF 2.1 image)

I was told by the GCP AI Platform notebook team that this scenario is not supported because TensorBoard widget is trying to do port forwarding under the hood and the AI Platform notebook proxy prevents it from connecting to non-HTTPS ports.

1. Is there a tricks to run in another way to avoid this issue (even if TensorBoard in not running in a jupyter cell
2. Is there a plan to be able to have TensorBoard running on GCP AI Platform notebook ? I think this will be great for data scientist working on GCP and it is also use in GCP ML training