1

开发工具包版本：1.0.43

为了最大限度地减少点击和比较PipelineRuns 之间的准确性，我想将一个指标从 a 内部记录PythonScriptStep到 parent PipelineRun。我以为我可以这样做：

from azureml.core import Run
run = Run.get_context()
foo = 0.80
run.parent.log("accuracy",foo)

但是我收到此错误。

Traceback (most recent call last):
  File "get_metrics.py", line 62, in <module>
    run.parent.log("geo_mean", top3_runs)
  File "/azureml-envs/azureml_ffecfef6fbfa1d89f72d5af22e52c081/lib/python3.6/site-packages/azureml/core/run.py", line 459, in parent
    return None if parent_run_id is None else get_run(self.experiment, parent_run_id)
  File "/azureml-envs/azureml_ffecfef6fbfa1d89f72d5af22e52c081/lib/python3.6/site-packages/azureml/core/run.py", line 1713, in get_run
    return next(runs)
  File "/azureml-envs/azureml_ffecfef6fbfa1d89f72d5af22e52c081/lib/python3.6/site-packages/azureml/core/run.py", line 297, in _rehydrate_runs
    yield factory(experiment, run_dto)
  File "/azureml-envs/azureml_ffecfef6fbfa1d89f72d5af22e52c081/lib/python3.6/site-packages/azureml/pipeline/core/run.py", line 325, in _from_dto
    return PipelineRun(experiment=experiment, run_id=run_dto.run_id)
  File "/azureml-envs/azureml_ffecfef6fbfa1d89f72d5af22e52c081/lib/python3.6/site-packages/azureml/pipeline/core/run.py", line 74, in __init__
    service_endpoint=_service_endpoint)
  File "/azureml-envs/azureml_ffecfef6fbfa1d89f72d5af22e52c081/lib/python3.6/site-packages/azureml/pipeline/core/_graph_context.py", line 46, in __init__
    service_endpoint=service_endpoint)
  File "/azureml-envs/azureml_ffecfef6fbfa1d89f72d5af22e52c081/lib/python3.6/site-packages/azureml/pipeline/core/_aeva_provider.py", line 118, in create_provider
    service_endpoint=service_endpoint)
  File "/azureml-envs/azureml_ffecfef6fbfa1d89f72d5af22e52c081/lib/python3.6/site-packages/azureml/pipeline/core/_aeva_provider.py", line 133, in create_service_caller
    service_endpoint = _AevaWorkflowProvider.get_endpoint_url(workspace, experiment_name)
  File "/azureml-envs/azureml_ffecfef6fbfa1d89f72d5af22e52c081/lib/python3.6/site-packages/azureml/pipeline/core/_aeva_provider.py", line 153, in get_endpoint_url
    workspace_name=workspace.name, workspace_id=workspace._workspace_id)
  File "/azureml-envs/azureml_ffecfef6fbfa1d89f72d5af22e52c081/lib/python3.6/site-packages/azureml/core/workspace.py", line 749, in _workspace_id
    self.get_details()
  File "/azureml-envs/azureml_ffecfef6fbfa1d89f72d5af22e52c081/lib/python3.6/site-packages/azureml/core/workspace.py", line 594, in get_details
    self._subscription_id)
  File "/azureml-envs/azureml_ffecfef6fbfa1d89f72d5af22e52c081/lib/python3.6/site-packages/azureml/_project/_commands.py", line 507, in show_workspace
    AzureMachineLearningWorkspaces, subscription_id).workspaces,
  File "/azureml-envs/azureml_ffecfef6fbfa1d89f72d5af22e52c081/lib/python3.6/site-packages/azureml/core/authentication.py", line 112, in _get_service_client
    all_subscription_list, tenant_id = self._get_all_subscription_ids()
TypeError: 'NoneType' object is not iterable

更新

在进一步调查中，我尝试parent使用下面的行打印运行的属性并得到相同的Traceback

print("print run parent attribute", run.parent)

get_properties()方法如下。我猜想 azureml 只是将azureml.pipelinerunid属性用于管道树层次结构，并且该parent属性已留给任何用户定义的层次结构。

{
    "azureml.runsource": "azureml.StepRun",
    "ContentSnapshotId": "45bdecd3-1c43-48da-af5c-c95823c407e0",
    "StepType": "PythonScriptStep",
    "ComputeTargetType": "AmlCompute",
    "azureml.pipelinerunid": "e523d575-c373-46d2-a4bc-1717f5e34ec2",
    "_azureml.ComputeTargetType": "batchai",
    "AzureML.DerivedImageName": "azureml/azureml_dfd7f4f952ace529f986fe919909c3ec"
}
4

3 回答 3

3

请将您的 SDK 升级到最新版本。似乎这个问题在 1.0.43 之后的某个时候得到了修复。

于 2019-09-17T01:52:47.387 回答
1

运行定义了吗？你能试一下吗 ...

run = Run.get_context()
run.parent.log('metric1', 0.80)
于 2019-09-13T02:01:48.083 回答
1

我无法在 1.0.60（最新）或 1.0.43（如帖子中）上重现

我可以做 run.parent.log()

run = Run.get_context()
run.parent.log('metric1', 0.80)

在我的步骤中，然后我可以做到

r = Run(ws.experiments["expName"], runid)
r.get_metrics()

并且可以查看管道运行的指标。

不清楚我是否错过了什么。

于 2019-09-16T21:56:21.510 回答