Model.Package fails when attempting to build image for ML model

Question

Previously my code was completing while running on a machine in the cloud.

I am using azureml.core.Model to .package models and script which are in a /source/ subdirectory.

After connecting to the Workspace remotely I started to get the following error even when running unchanged code from the machine in the cloud.

Message: Package creation reached non-successful terminal state.

State: Failed
Error:
StatusCode: 400
Message: Failed to fetch details for Environment with Name: package Version: Autosave_2021-07-26T15:25:15Z_5cb0d061 Reason: Workspace connections are not supported for registry: viennaglobal.azurecr.io.

InnerException None
ErrorResponse 

Answer 1

Here is the code which was executing on the cloud compute Jupyter Notebool:

from azureml.__version__ import __version__ as _azml_version_
from azureml.core import __version__ as _azmlcore_version_
from azureml.train.automl import __version__ as _azmltrain_version_

print('azure', _azml_version_)
print(' core', _azmlcore_version_)
print('train', _azmltrain_version_)

from azureml.core.experiment import Experiment
from azureml.core import Workspace, Datastore
from azureml.core.webservice import AciWebservice
from azureml.core.model import InferenceConfig
from azureml.core.environment import Environment
from azureml.core.conda_dependencies import CondaDependencies

from azureml.core.webservice import LocalWebservice
from azureml.core.model import Model

ws = Workspace.from_config()

PROJECT = 'qtc'
data_date = '2021-06-08'
experiment_date = "2021-07-25"
dd_name = data_date.replace('-', '')
ed_name = experiment_date.replace('-', '')
detail = 'conditional-select'

# Choose a name for the experiment and specify the project folder.
experiment_name = '-'.join(['qtc', ed_name, detail.replace(' ' , '-')])
experiment = Experiment(ws, experiment_name)
aciconfig = AciWebservice.deploy_configuration(cpu_cores=1, 
                                               memory_gb=2, 
                                               tags={"data": "qtc segment trimmed",  "method" : "selective model"}, 
                                               description='Estimate order completion time')
deployment_config = LocalWebservice.deploy_configuration(port=8890)
env = Environment.get(ws, "AzureML-AutoML").clone('qtc_env')
inference_config = InferenceConfig(entry_script="score_20210726.py",
                                   environment=env, source_directory=os.path.join(os.getcwd(), 'source'))

service = Model.deploy(workspace=ws, 
                       name='selective-model', 
                       models=[], 
                       inference_config=inference_config, 
                       deployment_config=aciconfig,
                       #deployment_config=deployment_config,
                       overwrite=True)

service.wait_for_deployment(show_output=True)
service.delete()

package = Model.package(ws, [], inference_config)
package.wait_for_creation(show_output=True)

Answer 2

And here is the error that I am now getting in the same environment without changing anything in there.

azure 1.0.1b6.post1
 core 1.31.0
train 1.31.0
Tips: You can try get_logs(): https://aka.ms/debugimage#dockerlog or local deployment: https://aka.ms/debugimage#debug-locally to debug if deployment takes longer than 10 minutes.
Running
2021-07-27 16:29:00+00:00 Registering the environment.
2021-07-27 16:29:01+00:00 Use the existing image.
2021-07-27 16:29:01+00:00 Generating deployment configuration.
2021-07-27 16:29:02+00:00 Submitting deployment to compute..
2021-07-27 16:29:06+00:00 Checking the status of deployment selective-model..
2021-07-27 16:34:06+00:00 Checking the status of inference endpoint selective-model.
Succeeded
ACI service creation operation finished, operation "Succeeded"
Package creation Failed
---------------------------------------------------------------------------
WebserviceException                       Traceback (most recent call last)
<ipython-input-1-ac8fa2a0144c> in <module>
     59 
     60 package = Model.package(ws, [], inference_config)
---> 61 package.wait_for_creation(show_output=True)

/anaconda/envs/azureml_py36/lib/python3.6/site-packages/azureml/core/model.py in wait_for_creation(self, show_output)
   2735                                       'State: {}\n'
   2736                                       'Error:\n'
-> 2737                                       '{}\n'.format(self.state, error_message))
   2738 
   2739     def serialize(self):

WebserviceException: WebserviceException:
    Message: Package creation reached non-successful terminal state.
State: Failed
Error:
StatusCode: 400
Message: Failed to fetch details for Environment with Name: package Version: Autosave_2021-07-27T16:34:16Z_e22f01a7 Reason: Workspace connections are not supported for registry: viennaglobal.azurecr.io.

    InnerException None
    ErrorResponse 
{
    "error": {
        "message": "Package creation reached non-successful terminal state.\nState: Failed\nError:\nStatusCode: 400\nMessage: Failed to fetch details for Environment with Name: package Version: Autosave_2021-07-27T16:34:16Z_e22f01a7 Reason: Workspace connections are not supported for registry: viennaglobal.azurecr.io.\n"
    }
}

In the error it identifies that it can't find details for an Environment with Name == 'package' ?