Set Up Dioptra in the GUI

Before running your first plugin task, we need to prepare the environment.

Prerequisites

Before completing this tutorial, ensure you have installed Dioptra and created a deployment.

• Install Dioptra

Dioptra Workflow Setup

Step 1: Start Dioptra Services

In your terminal, navigate to your deployment folder. The deployment folder should have several docker-compose*.yml files in it and an envs/ folder with certificates and credentials for the microservices.

cd path/to/deployment-folder

Once in the deployment folder, start the Docker containers:

docker compose up

You should now be able to access the Dioptra web GUI in your browser. In the address bar, enter the configured port (default port: http://127.0.0.1). The Dioptra login screen should appear.

The Dioptra login screen in the GUI.

Learn More

• Prepare Your Deployment - Learn about the deployment configuration options

Step 2: Login or Sign Up

After opening the web GUI, either log in with an existing account or sign up for a new one.

Learn More

• Users and Groups - Explanation of users and groups

• Create Users and Groups - Detailed instructions on creating users and groups

Step 3: Create a Queue

Navigate to the Queues tab and create a new queue:

• Name: tensorflow-cpu

• Visibility: Public

We call it tensorflow-cpu because this tutorial assumes only CPU resources are available. By making it public, all users in the Public group can submit jobs to it.

Learn More

• Create Queues - Instructions on customizing queues and workers

• Queues and Workers - Explanation on Queues and Workers

• Create a Custom Worker Container - Create custom worker containers for Dioptra

Next Steps

Now that Dioptra is set up, let’s begin: Running Hello World