DevOps ML Studio Connection

Question

DevOps ML Studio Connection

Kutay Acar 11

I am trying to create a pipline for machine learning model to be able to logged and run through ML Studio. I created the pipeline on DevOps and created GPU Cluster on ML Studio, estabilished service connection.

When I run the pipeline every stage is running well and run is logged to ML Studio but I am having the following error while trying to run train.py

Unable to fetch workspace resources

So how can i overcome this issue?

What I tried so far:

Reestablish connection
Tried to Run pipeline from ML Studio
Deleted Cluster and created a new one

Rohit Mungi 49,131 Reputation points Microsoft Employee Moderator

2021-05-28T12:30:53.943+00:00

@Kutay Acar Could you please let us if there is any documentation or steps to follow to replicate your scenario?
Since you are able to trigger your pipeline steps i would assume the workspace context is correct, the error indicates an issue in your training script because you also tried to run it directly from Azure ML studio or portal. Maybe, you could also share your train file?