yml 作业与代码中的 Azure ML docker env 参数

编程问答 2022-04-22

问题描述

我需要为 docker start --ipc=host 使用参数 并在 vs 代码 IDE 中创建作业

    $schema: https://azuremlschemas.azureedge.net/latest/commandJob.schema.json
    code:
    local_path: c:\Users\Stanislav_Sorokin1\Documents\Projects\Estee Lauder\face-segmentation- 
    experiments-VK_initial_experiment\face-segmentation-experiments-VK_initial_experiment
    command: python trainAzure.py --data {inputs.trainingData1}
    # invoke completions (Ctrl+Space,Cmd+Space) to see the list of environments available
    environment: 
    docker:
    image: mcr.microsoft.com/azureml/openmpi3.1.2-cuda10.2-cudnn8-ubuntu18.04:20210507.v1
    arguments: ['--ipc=host']
    conda_file: file:environment.yml
    compute:
    # invoke completions (Ctrl+Space,Cmd+Space) to see the list of computes available
    target: azureml:V100Single
    # This defines the input datasets to mount. The names of the items in 
    inputs can be referenced 
    in the command
    inputs:
    trainingData1:
    mode: mount
    data: azureml:Sample:2

但它运行时出错：

    Validation for CommandJobSchema Failed:

    {
    "environment": [
    {
      "docker": {
        "arguments": [
          "UnkNown field."
        ]
      }
    },{
      "_schema": [
        "In order to specify an existing environments,please provide either of the following 
      prefixed with 'azureml:':\n1. The full ARM ID for the resource,e.g.azureml:/subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.MachineLearningServices/workspaces/<workspace_name>/environments/<resource_name>/<version-if applicable>)\n2. The short-hand name of the resource registered in the workspace,eg: azureml:<short-hand-name>:<version-if applicable>. For example,version 1 of the environment registered as 'my-env' in the workspace can be referenced as 'azureml:my-env:1'"
      ]
    },please provide either of the following prefixed with 'azureml:':\n1. The full ARM ID for the resource,version 1 of the environment registered as 'my-env' in the workspace can be referenced as 'azureml:my-env:1'"
      ]
    }
  ]
}

我做错了什么？

附言是的，我可以在笔记本中使用这个参数，它的工作env.docker.arguments = ['--ipc=host']

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