Azure Machine Learning
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AutoML model web service model deployment: Failure while loading azureml_run_type_providers
![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(51.2, 48%, 14%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3ECL%3C/text%3E%3C/svg%3E)
Christy Lo
0
Reputation points
I have a Voting Ensemble model from the automated ML want to deploy an endpoint so that I can consume it in Power BI
I follow the deployment steps in https://learn.microsoft.com/en-us/azure/machine-learning/tutorial-first-experiment-automated-ml#deploy-the-best-model
I have select
(1) Azure Container Instance (ACI) for the compute type
(2) disable authentication
(3) Disable custom deployment
(4) keep the default in the Advanced menu
as suggested in the tutorial.
My endpoint deployment state is unhealthy and I got the following message in the deployment log
Booting worker with pid: 327
Initializing logger
2023-03-07 09:23:00,424 | root | INFO | Starting up app insights client
logging socket was found. logging is available.
logging socket was found. logging is available.
2023-03-07 09:23:00,425 | root | INFO | Starting up app insight hooks
2023-03-07 09:23:01,648 | root | INFO | Found user script at /var/azureml-app/main.py
2023-03-07 09:23:01,648 | root | INFO | run() is decorated with @input_schema. Server will invoke it with the following arguments: Inputs, GlobalParameters.
2023-03-07 09:23:01,648 | root | INFO | Invoking user's init function
Importing plotly failed. Interactive plots will not work.
2023-03-07 09:23:13,132 | azureml.core | WARNING | Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.scriptrun = azureml.core.script_run:ScriptRun._from_run_dto with exception (urllib3 1.25.11 (/azureml-envs/azureml_4ceb345e4e0a419c28b56298b234f6b5/lib/python3.7/site-packages), Requirement.parse('urllib3>=1.26.0'), {'docker'}).
Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.scriptrun = azureml.core.script_run:ScriptRun._from_run_dto with exception (urllib3 1.25.11 (/azureml-envs/azureml_4ceb345e4e0a419c28b56298b234f6b5/lib/python3.7/site-packages), Requirement.parse('urllib3>=1.26.0'), {'docker'}).
2023-03-07 09:23:13,143 | azureml.core | WARNING | Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.PipelineRun = azureml.pipeline.core.run:PipelineRun._from_dto with exception (urllib3 1.25.11 (/azureml-envs/azureml_4ceb345e4e0a419c28b56298b234f6b5/lib/python3.7/site-packages), Requirement.parse('urllib3>=1.26.0'), {'docker'}).
Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.PipelineRun = azureml.pipeline.core.run:PipelineRun._from_dto with exception (urllib3 1.25.11 (/azureml-envs/azureml_4ceb345e4e0a419c28b56298b234f6b5/lib/python3.7/site-packages), Requirement.parse('urllib3>=1.26.0'), {'docker'}).
2023-03-07 09:23:13,158 | azureml.core | WARNING | Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.ReusedStepRun = azureml.pipeline.core.run:StepRun._from_reused_dto with exception (urllib3 1.25.11 (/azureml-envs/azureml_4ceb345e4e0a419c28b56298b234f6b5/lib/python3.7/site-packages), Requirement.parse('urllib3>=1.26.0'), {'docker'}).
Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.ReusedStepRun = azureml.pipeline.core.run:StepRun._from_reused_dto with exception (urllib3 1.25.11 (/azureml-envs/azureml_4ceb345e4e0a419c28b56298b234f6b5/lib/python3.7/site-packages), Requirement.parse('urllib3>=1.26.0'), {'docker'}).
2023-03-07 09:23:13,168 | azureml.core | WARNING | Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.StepRun = azureml.pipeline.core.run:StepRun._from_dto with exception (urllib3 1.25.11 (/azureml-envs/azureml_4ceb345e4e0a419c28b56298b234f6b5/lib/python3.7/site-packages), Requirement.parse('urllib3>=1.26.0'), {'docker'}).
Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.StepRun = azureml.pipeline.core.run:StepRun._from_dto with exception (urllib3 1.25.11 (/azureml-envs/azureml_4ceb345e4e0a419c28b56298b234f6b5/lib/python3.7/site-packages), Requirement.parse('urllib3>=1.26.0'), {'docker'}).
2023-03-07 09:23:13,249 | azureml.core | WARNING | Failure while loading azureml_run_type_providers. Failed to load entrypoint automl = azureml.train.automl.run:AutoMLRun._from_run_dto with exception (azure-identity 1.12.0 (/azureml-envs/azureml_4ceb345e4e0a419c28b56298b234f6b5/lib/python3.7/site-packages), Requirement.parse('azure-identity==1.7.0'), {'azureml-dataprep'}).
Failure while loading azureml_run_type_providers. Failed to load entrypoint automl = azureml.train.automl.run:AutoMLRun._from_run_dto with exception (azure-identity 1.12.0 (/azureml-envs/azureml_4ceb345e4e0a419c28b56298b234f6b5/lib/python3.7/site-packages), Requirement.parse('azure-identity==1.7.0'), {'azureml-dataprep'}).
2023-03-07 09:23:13,270 | azureml.core | WARNING | Failure while loading azureml_run_type_providers. Failed to load entrypoint hyperdrive = azureml.train.hyperdrive:HyperDriveRun._from_run_dto with exception (urllib3 1.25.11 (/azureml-envs/azureml_4ceb345e4e0a419c28b56298b234f6b5/lib/python3.7/site-packages), Requirement.parse('urllib3>=1.26.0'), {'docker'}).
Failure while loading azureml_run_type_providers. Failed to load entrypoint hyperdrive = azureml.train.hyperdrive:HyperDriveRun._from_run_dto with exception (urllib3 1.25.11 (/azureml-envs/azureml_4ceb345e4e0a419c28b56298b234f6b5/lib/python3.7/site-packages), Requirement.parse('urllib3>=1.26.0'), {'docker'}).
Worker with pid 327 was terminated due to signal 9
Booting worker with pid: 342
I have the latest docker desktop and urllib3 installed in the PC, I have chosen no-code deployment because I do not want to deal with writing the deployment script or environment script while I need the Power BI consume the model. Please let me know if there is any solution to the deployment issue or alternative to deploy a model and consume in Power BI. Thank you.
{count} votes
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![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(22.400000000000002, 11%, 12%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3ERM%3C/text%3E%3C/svg%3E)
Ramr-msft 17,616 Reputation points2023-03-07T14:19:20.1666667+00:00 @Christy Lo From the error message you provided, it looks like there is a problem with loading
azureml_run_type_providers. The error message also mentions a problem with theurllib3version. It seems that the version ofurllib3being used is 1.25.11 but a version greater than or equal to 1.26.0 is required.Have you tried updating the
urllib3package to a version greater than or equal to 1.26.0? -
Christy Lo 0 Reputation points
2023-03-08T02:58:11.3266667+00:00 Thank you for your help @Ramr-msft
May I know where should I go and what tools do I need to do the update?
I have tried update in the Azure notebook and check the urllib3 is version 1.26.14 for python 3.8
I can not find python 3.7 for notebook
Could you advise how can I update the urllib3 package correctly?
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Ramr-msft 17,616 Reputation points
2023-03-15T14:53:58.6366667+00:00 @Christy Lo Thanks for the details, You can try installing from the terminal.
As shown below you will be able select the kernel.
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![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(182.40000000000003, 9%, 27%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3EGA%3C/text%3E%3C/svg%3E)
Gupta, Aanchal, USEReady 0 Reputation points2023-05-02T17:05:06.83+00:00 Hi , I am using Azure ML designer pipelines and they are taking long time in complete execution then I checked the logs then find this below-
Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.PipelineRun = azureml.pipeline.core.run:PipelineRun._from_dto with exception (urllib3 1.26.12 (/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages), Requirement.parse('urllib3<=1.26.9,>=1.23'), {'azureml-core'}).
Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.ReusedStepRun = azureml.pipeline.core.run:StepRun._from_reused_dto with exception (urllib3 1.26.12 (/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages), Requirement.parse('urllib3<=1.26.9,>=1.23'), {'azureml-core'}).
Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.StepRun = azureml.pipeline.core.run:StepRun._from_dto with exception (urllib3 1.26.12 (/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages), Requirement.parse('urllib3<=1.26.9,>=1.23'), {'azureml-core'}).
Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.scriptrun = azureml.core.script_run:ScriptRun._from_run_dto with exception (urllib3 1.26.12 (/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages), Requirement.parse('urllib3<=1.26.9,>=1.23')).
so, Can you let me know how to sort it out as I am using AzureML Designer.
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![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(300.8, 24%, 39%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3EST%3C/text%3E%3C/svg%3E)
Shivani Tyagi (Student) 20 Reputation points2023-07-17T08:53:20.15+00:00 Did you managed to solve the above error? I am also facing the same issue.
Thanks,
Shivani Tyagi
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