Unable to use tensorboard viewer using S3 path

What steps did you take

To view the output in tensorboard we have created the mlpipeline-ui-metadata.json file with following content (Followed the instructions from - https://www.kubeflow.org/docs/components/pipelines/sdk/output-viewer/#tensorboard )

{"outputs": [{"type": "tensorboard", "source": "s3://<S3_path>"}]}

to view the training output in tensorboard.

What happened:

In the visualizations tab, Start Tensorboard button is appearing as expected.

Once Start Tensorboard is clicked, Open Tensorboard is appearing as expected.

But when the Start Tensorboard is clicked, an empty dashboard is shown.

What did you expect to happen:

Tensorboard should be opened as below

Environment:

• KFP version: 1.4 To find the version number, See version number shows on bottom of KFP UI left sidenav. -->
• KFP SDK version: 0.5.2

Anything else you would like to add:

To test the above behavious in local machine, we tried running

tensorboard --logdir s3://<S3_path>

Tensorboard is showing an empty dashboard.

However, the dashboard is working fine with the db argument as below

tensorboard --db s3://<S3_path>

From the https://www.kubeflow.org/docs/components/pipelines/sdk/output-viewer/#tensorboard i couldnt figure out a way to change from logdir to db. Or is there any other way to achieve this in kubeflow mlpipeline-ui-metadata.json ?

Labels

/area frontend

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[shrinath-suresh]

That’s a very good point, do you want to contribute that?

Already occupied with deliverables. I can pick it up after 2 weeks. I will make a note of it.

[shrinath-suresh]

@Bobgy It will be more helpful if the documentation is updated about the supported systems - https://www.kubeflow.org/docs/components/pipelines/sdk/output-viewer/#tensorboard . What do you think ?