Hello Team,
We are trying to deploy a model to Azure ML workspace containing a saved model & One Hot Encoded joblib file.
We are facing issue in init() function.
Please find the below error message:
"message": "Aci Deployment failed with exception: Your container application crashed. This may be caused by errors in your scoring file's init() function.
PFB screenshot of scoring file:
@SahanaGurumurthyAccentureInternati-9832 Thanks for the question. Can you please share the deployment code that you are trying.
@SahanaGurumurthyAccentureInternati-9832 Thanks, I think the problem is that you rely on AML background process to automatically upload content under ./outputs to AML workspace.
But when the upload is not complete and we immediately call run.register_model which takes the content from AML workspace then the error will happen.
To avoid that situation, you can do it like this:
- Persist model (joblib.dump) to a custom folder other than outputs
- Manually run upload_file to upload the model AML workspace. Name the destination same name with your model file.
- Then run run.register_model.
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