search

Azure / azure-cli

Azure Command-Line Interface
MIT License
3.97k stars 2.95k forks source link

ERROR: {'Azure-cli-ml Version': '1.41.0', 'Error': WebserviceException: #23608

Open phegde127 opened 2 years ago

phegde127 commented 2 years ago

Hi

I am getting below error while deploying ML model using Azure ACI in Azure DevOps. Any advice to resolve this error would be much appreciated.

2022-08-21T21:50:02.6641204Z ERROR: {'Azure-cli-ml Version': '1.41.0', 'Error': WebserviceException: 2022-08-21T21:50:02.6642245Z Message: Service deployment polling reached non-successful terminal state, current service state: Failed 2022-08-21T21:50:02.6643297Z Operation ID: 1d189637-4901-473a-9e5d-72c05801b900 2022-08-21T21:50:02.6643889Z More information can be found here: 2022-08-21T21:50:02.6644206Z Error: 2022-08-21T21:50:02.6644432Z { 2022-08-21T21:50:02.6644725Z "code": "EnvironmentBuildFailed", 2022-08-21T21:50:02.6645052Z "statusCode": 400, 2022-08-21T21:50:02.6645943Z "message": "Failed building the Environment. You can try debugging locally first. Please refer to https://aka.ms/debugimage#debug-locally for more information." 2022-08-21T21:50:02.6646483Z } 2022-08-21T21:50:02.6646751Z InnerException None 2022-08-21T21:50:02.6647031Z ErrorResponse 2022-08-21T21:50:02.6647285Z { 2022-08-21T21:50:02.6647515Z "error": { 2022-08-21T21:50:02.6649167Z "message": "Service deployment polling reached non-successful terminal state, current service state: Failed\nOperation ID: 1d189637-4901-473a-9e5d-72c05801b900\nMore information can be found here: \nError:\n{\n \"code\": \"EnvironmentBuildFailed\",\n \"statusCode\": 400,\n \"message\": \"Failed building the Environment. You can try debugging locally first. Please refer to https://aka.ms/debugimage#debug-locally for more information.\"\n}" 2022-08-21T21:50:02.6650266Z } 2022-08-21T21:50:02.6650497Z }} 2022-08-21T21:50:02.8467430Z ##[error]Script failed with exit code: 1

Regards,

Pradeep

ghost commented 2 years ago

Thank you for your feedback. This has been routed to the support team for assistance.

yonzhan commented 2 years ago

route to CXP team

RakeshMohanMSFT commented 2 years ago

@phegde127 Thank you for reaching out, we are looking into it.

ghost commented 2 years ago

Thanks for the feedback! We are routing this to the appropriate team for follow-up. cc @azureml-github.

Issue Details
Hi I am getting below error while deploying ML model using Azure ACI in Azure DevOps. Any advice to resolve this error would be much appreciated. 2022-08-21T21:50:02.6641204Z ERROR: {'Azure-cli-ml Version': '1.41.0', 'Error': WebserviceException: 2022-08-21T21:50:02.6642245Z Message: Service deployment polling reached non-successful terminal state, current service state: Failed 2022-08-21T21:50:02.6643297Z Operation ID: 1d189637-4901-473a-9e5d-72c05801b900 2022-08-21T21:50:02.6643889Z More information can be found here: 2022-08-21T21:50:02.6644206Z Error: 2022-08-21T21:50:02.6644432Z { 2022-08-21T21:50:02.6644725Z "code": "EnvironmentBuildFailed", 2022-08-21T21:50:02.6645052Z "statusCode": 400, 2022-08-21T21:50:02.6645943Z "message": "Failed building the Environment. You can try debugging locally first. Please refer to https://aka.ms/debugimage#debug-locally for more information." 2022-08-21T21:50:02.6646483Z } 2022-08-21T21:50:02.6646751Z InnerException None 2022-08-21T21:50:02.6647031Z ErrorResponse 2022-08-21T21:50:02.6647285Z { 2022-08-21T21:50:02.6647515Z "error": { 2022-08-21T21:50:02.6649167Z "message": "Service deployment polling reached non-successful terminal state, current service state: Failed\nOperation ID: 1d189637-4901-473a-9e5d-72c05801b900\nMore information can be found here: \nError:\n{\n \"code\": \"EnvironmentBuildFailed\",\n \"statusCode\": 400,\n \"message\": \"Failed building the Environment. You can try debugging locally first. Please refer to https://aka.ms/debugimage#debug-locally for more information.\"\n}" 2022-08-21T21:50:02.6650266Z } 2022-08-21T21:50:02.6650497Z }} 2022-08-21T21:50:02.8467430Z ##[error]Script failed with exit code: 1 Regards, Pradeep
Author: phegde127
Assignees: RakeshMohanMSFT
Labels: `Service Attention`, `Machine Learning`, `customer-reported`
Milestone: -
hugoaponte commented 2 years ago

Hello,

Could you share the details/definition of the environment you are using for that deployment?

Could you share logs when building that environment?

Thanks,

Hugo