Polyaxon integrates with Tensorboard to visualize and debug deep learning models. Polyaxon provides several ways for using Tensorboard.

Component info on Polyaxon Hub

To learn about this component definition or customize its behavior, please check tensorboard on polyaxon-hub.

Run this component using the CLI

To run the latest version of this component using Polyaxon CLI:

polyaxon run --hub tensorboard -P ...

To use a specific version:

polyaxon run --hub tensorboard:[tag] -P ...

Note: -P is for passing parameters, e.g. -P param1=value1 -P parame2=value2

View a running operation on the dashboard

After running an operation with this component, you can view it on the dashboard:

polyaxon ops dashboard


polyaxon ops dashboard -p [project-name] -uid [run-uuid] -y

View the service

After running an operation with this component, you can view the service:

polyaxon ops service

Stop a running operation

To stop a running operation with this component:

polyaxon ops stop


polyaxon ops stop -p [project-name] -uid [run-uuid]

Run this component using the client

To run this component using Polyaxon Client:

from polyaxon.client import RunClient

client = RunClient(...)
client.create_from_hub(component="tensorboard", ...)

Usage in operations

You can also create operations instead of passing params:

version: 1.1
kind: operation
  param1: {value: value1}
hubRef: tensorboard:[tag]


This component has the following versions: ['latest', 'multi-runs', 'path', 's3-path', 'gcs-path', 'wasb-path', 'single-run']