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AzureML: Data initialization error when input to the batch endpoint is data from cloud

Ishika Rajput 1 Reputation point
2022-09-24T09:47:08.15+00:00

I'm trying to invoke batch endpoint using data on cloud as input using CLI. When I use the input as local data it works fine but when I use the register datastore as input the job fails with the following error:
Dataset initialization failed: UserErrorException:
Message: Cannot mount Dataset(id='d10c7934-9c62-4e15-adf1-bc7386648403', name='None', version=None). Error Message: DataAccessError(NotFound)
InnerException None
ErrorResponse
{
"error": {
"code": "UserError",
"message": "Cannot mount Dataset(id='d10c7934-9c62-4e15-adf1-bc7386648403', name='None', version=None). Error Message: DataAccessError(NotFound)"
}
}

My cli command:
244501-screenshot-2022-09-24-at-114415.png

Azure Machine Learning
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  1. Ramr-msft 17,836 Reputation points
    2022-09-26T10:39:21.9+00:00

    @Ishika Rajput Thanks for the question. Are you using Pipeline or Runconfig?

    Here is the document to invoke batch endpoint with different input options.
    Concepts: https://aka.ms/batch-endpoints-concepts
    How-to: https://aka.ms/managed-batch-endpoint
    Examples: https://aka.ms/batch-endpoints-examples
    Demo: https://aka.ms/batch-endpoints-demo

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