Polyaxon allows to schedule Pytorch experiments and Pytorch distributed experiments, and supports tracking metrics, outputs, and models natively.

Deploy the PytorchJob operator

Before you can use the pytorchjob runtime, you need to make sure that PytorchJob operator and the CRD (custom resource definition) are deployed in your cluster.

Enable the operator

To be able to schedule distributed jobs with the PytorchJob operator, you need to enable the operator in your deployment config.

You need to enable the operator in Polyaxon CE deployment or Polyaxon Agent deployment:

operators:
  pytorchjob: true

Create a component with the pytorchjob runtime

Once you have the PytorchJob operator running on a Kubernetes namespace managed by Polyaxon, you can check the specification for creating components with the pytorchjob runtime:

version: 1.1
kind: component
run:
  kind: pytorchjob
  ...

For more details about the specification for creating pytorchjob runtime, please check please check this section.

Run the distributed job

Running components with the pytorchjob runtime is similar to running any other component:

polyaxon run --hub component -P ...

View a running operation on the dashboard

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

polyaxon ops dashboard

or

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

Stop a running operation

To stop a running operation with this component:

polyaxon ops stop

or

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

Run this component using the client

To run this component using Polyaxon Client:

from polyaxon.client import RunClient

client = RunClient(...)
client.create_from_polyaxonfile(polyaxon="path/to/file", ...)