invoke ml pipeline always failing. The link in the POST Method link gives an error { "Error": { "Code": "UnsupportedApiVersion", "Message": "The HTTP resource that matches the request URI 'https://centralus.aether.ms/api/v1.0/subscriptions/19c1eed4-f0da-4a7c-8bd9-e82e6700f2b7/resourceGroups/mmlops-RG/providers/Microsoft.MachineLearningServices/workspaces/mosml008/PipelineRuns/PipelineSubmit/3ae98478-5ffa-414a-8363-a3e3b3af42db' with API version '1.0' does not support HTTP method 'GET'.", "InnerError": null } } #418
Comments
|
Ideally this tasks fails while creating conda environment., and there is no proper error while creating as well. please help to resolve the issue ======Starting Image Build on Serverless Compute====== 2024-09-05T15:26:38: Login Succeeded 2024-09-05T15:26:38: Running: ['docker', 'build', '-f', 'azureml-environment-setup/Dockerfile', '.', '-t', 'd30f8cdd495e4db28bb266fa51695ba3.azurecr.io/azureml/azureml_134293382750c1bb119025659155ea48', '-t', 'd30f8cdd495e4db28bb266fa51695ba3.azurecr.io/azureml/azureml_134293382750c1bb119025659155ea48:1'] 2024-09-05T15:26:38: Sending build context to Docker daemon 71.17kB 2024-09-05T15:27:33: Downloading and Extracting Packages |
I am trying to run the train pipeline, I get an error everytime I am unable to figure it out. In the POn ST method link when I run it get an error unsupported AI verson 1.0 error. Please help I have been trying to run the invoke Ml Pipeline from a long time
Job preparation parameters
Variables:
ACI_DEPLOYMENT_NAME: $[ variablegroups.devopsforai-aml-vg.ACI_DEPLOYMENT_NAME ]
AZURE_RM_SVC_CONNECTION: $[ variablegroups.devopsforai-aml-vg.AZURE_RM_SVC_CONNECTION ]
BASE_NAME: $[ variablegroups.devopsforai-aml-vg.BASE_NAME ]
LOCATION: $[ variablegroups.devopsforai-aml-vg.LOCATION ]
RESOURCE_GROUP: $[ variablegroups.devopsforai-aml-vg.RESOURCE_GROUP ]
WORKSPACE_NAME: $[ variablegroups.devopsforai-aml-vg.WORKSPACE_NAME ]
WORKSPACE_SVC_CONNECTION: $[ variablegroups.devopsforai-aml-vg.WORKSPACE_SVC_CONNECTION ]
AMLPIPELINE_ID:
Parsing expression: <dependencies.Get_Pipeline_ID.outputs['getpipelineid.AMLPIPELINEID']>
Evaluating: dependencies['Get_Pipeline_ID']['outputs']['getpipelineid.AMLPIPELINEID']
Result: '3ae98478-5ffa-414a-8363-a3e3b3af42db'
ContinueOnError: False
TimeoutInMinutes: 0
CancelTimeoutInMinutes: 5
Expand:
MaxConcurrency: 0
MaxConcurrency: 0
Task : Invoke ML pipeline
Description : Invoke Azure Machine Learning published pipelines.
Version : 0.1.90
Author : ms-air-aiagility
Help URL : https://marketplace.visualstudio.com/items?itemName=ms-air-aiagility.vss-services-azureml&ssr=false#overview
2023-07-12T11:06:47.6918609Z POST https://centralus.aether.ms/api/v1.0/subscriptions/19c1eed4-f0da-4a7c-8bd9-e82e6700f2b7/resourceGroups/mmlops-RG/providers/Microsoft.MachineLearningServices/workspaces/mosml008/PipelineRuns/PipelineSubmit/3ae98478-5ffa-414a-8363-a3e3b3af42db
Request body: {
"AzDevOpsCallBackInfo": {
"JobId": "77aee9c5-85bc-59ae-fa90-c3f20f9c111e",
"HubName": "build",
"TaskInstanceId": "7ffef4a3-944d-544a-2764-6fcc510d84c9",
"PlanId": "6bebf0d7-465c-4c93-ad8e-49e907470d26",
"ProjectId": "0c53d160-630b-4a98-aa55-51747305200b",
"PlanUri": "https://dev.azure.com/mohsmohammad7890561/",
"Auth***": ***
},
"ExperimentName": "mlopspython",
"RunSource": "PipelineRun",
"ParameterAssignments": {
"model_name": "diabetes_regression_model.pkl"
},
"tags": {
"BuildId": "36",
"BuildUri": "https://dev.azure.com/mohsmohammad7890561/MLOPS/_build/results?buildId=36"
},
"StepTags": {
"BuildId": "36",
"BuildUri": "https://dev.azure.com/mohsmohammad7890561/MLOPS/_build/results?buildId=36"
}
}
Response Code: OK
Response: {
"Description": null,
"Status": {
"StatusCode": 0,
"StatusDetail": null,
"CreationTime": "2023-07-12T11:06:47.1409291Z",
"EndTime": null
},
"GraphId": "98f140f2-05f8-4064-9915-5de767a25c61",
"IsSubmitted": false,
"HasErrors": false,
"HasWarnings": false,
"UploadState": 0,
"ParameterAssignments": {
"model_name": "diabetes_regression_model.pkl",
"dataset_version": "latest",
"data_file_path": "none",
"caller_run_id": "none"
},
"DataPathAssignments": {},
"DataSetDefinitionValueAssignments": {},
"AssetOutputSettingsAssignments": {},
"RunHistoryExperimentName": "mlopspython",
"DisplayName": null,
"PipelineRunId": "8ed03654-914e-4c2a-b633-3090bdf94669",
"PipelineId": "3ae98478-5ffa-414a-8363-a3e3b3af42db",
"PipelineEndpointId": null,
"RunSource": "PipelineRun",
"RunType": 0,
"TotalRunSteps": 3,
"ScheduleId": null,
"RunUrl": "https://ml.azure.com/experiments/mlopspython/runs/8ed03654-914e-4c2a-b633-3090bdf94669?tid=39ac8b47-69b1-4db6-b731-b6591aee89d3&wsid=/subscriptions/19c1eed4-f0da-4a7c-8bd9-e82e6700f2b7/resourcegroups/mmlops-RG/workspaces/mosml008",
"tags": {
"BuildId": "36",
"BuildUri": "https://dev.azure.com/mohsmohammad7890561/MLOPS/_build/results?buildId=36"
},
"StepTags": {
"BuildId": "36",
"BuildUri": "https://dev.azure.com/mohsmohammad7890561/MLOPS/_build/results?buildId=36"
},
"Properties": {},
"StepProperties": {},
"CreatedBy": {
"UserObjectId": "52e7966a-2a24-4e93-883b-50f47ff658e2",
"UserTenantId": "39ac8b47-69b1-4db6-b731-b6591aee89d3",
"UserName": "3bd719d8-eced-42b7-9a65-5d43bb19f565"
},
"PreserveSubGraphs": true,
"RootPipelineRunId": "8ed03654-914e-4c2a-b633-3090bdf94669",
"EnforceRerun": null,
"ContinueRunOnFailedOptionalInput": true,
"UserAlias": null,
"DefaultCloudPriority": null,
"DefaultCompute": null,
"DefaultDatastore": null,
"IdentityConfig": null,
"PipelineTimeoutSeconds": null,
"ContinueRunOnStepFailure": false,
"EntityStatus": 0,
"Id": "8ed03654-914e-4c2a-b633-3090bdf94669",
"Etag": ""4000e293-0000-0300-0000-64ae89470000"",
"CreatedDate": "2023-07-12T11:06:47.1604515Z",
"LastModifiedDate": "2023-07-12T11:06:47.1604515Z"
}
The text was updated successfully, but these errors were encountered: