Seldon Core Model not loading in container

What is Seldon Core Model not loading in container

Understanding Seldon Core

Seldon Core is an open-source platform designed to deploy machine learning models on Kubernetes. It allows for the scaling, monitoring, and management of models in production environments. By leveraging Kubernetes, Seldon Core provides a robust infrastructure for serving models with high availability and scalability.

Identifying the Symptom

One common issue encountered when using Seldon Core is the model not loading in the container. This symptom is typically observed when the model server fails to start, and logs may indicate errors related to missing model files or incorrect paths.

Common Error Messages

Error: Model file not found Error: Failed to load model from path

Exploring the Issue

The root cause of the model not loading in the container is often due to an incorrect model file path or the absence of the model file in the specified location. This can occur if the model file was not correctly mounted into the container or if there was a typo in the file path specified in the deployment configuration.

Understanding File Paths

In Kubernetes, file paths must be correctly specified in the deployment YAML files. These paths should match the directory structure within the container where the model is expected to be loaded.

Steps to Fix the Issue

To resolve the issue of the model not loading in the container, follow these steps:

Step 1: Verify Model File Path

Check the model file path specified in your SeldonDeployment YAML file. Ensure that the path is correct and matches the location where the model file is mounted in the container. For example:

modelUri: "/mnt/models/my_model.joblib"

Step 2: Ensure Model File is Present

Verify that the model file exists at the specified path. You can use the following command to check the contents of the directory in the container:

kubectl exec -it <pod-name> -- ls /mnt/models/

Step 3: Correct Deployment Configuration

If the model file path is incorrect, update the SeldonDeployment YAML file with the correct path. Apply the changes using:

kubectl apply -f seldon-deployment.yaml

Step 4: Restart the Deployment

After making changes, restart the deployment to ensure the model server picks up the correct configuration:

kubectl rollout restart deployment <deployment-name>

Additional Resources

For more information on deploying models with Seldon Core, refer to the official Seldon Core documentation. Additionally, you can explore the Seldon Core GitHub repository for examples and community support.