我使用 Microsoft Azure 机器学习 (Azure-ml) 来运行我的 (python) 实验。

为了指定我使用的 VM 和 python 环境：

from azureml.core import Environment
from azureml.core import ScriptRunConfig

# Other imports and code...

# Specify VM and Python environment:
vm_env = Environment.from_conda_specification(name='my-test-env', file_path=PATH_TO_YAML_FILE)
vm_env.docker.enabled = True
vm_env.docker.base_image = 'mcr.microsoft.com/azureml/openmpi3.1.2-cuda10.2-cudnn7-ubuntu18.04'

# Finally, use the environment in the ScriptRunConfig:
src = ScriptRunConfig(source_directory=DEPLOY_CONTAINER_FOLDER_PATH,
                      script=SCRIPT_FILE_TO_EXECUTE,
                      arguments=EXECUTE_ARGUMENTS,
                      compute_target=compute_target,
                      environment=vm_env)

我收到该行的以下警告vm_env.docker.enabled = True：

'enabled' is deprecated. Please use the azureml.core.runconfig.DockerConfiguration object with the 'use_docker' param instead.

关于DockerSection Class和的文档对于DockerConfiguration Class应用DockerConfiguration Class.

我无法弄清楚如何使用该azureml.core.runconfig.DockerConfiguration对象。有人可以为我提供一个例子吗？谢谢！

回答

from azureml.core import Environment
from azureml.core import ScriptRunConfig
from azureml.core.runconfig import DockerConfiguration

# Other imports and code...

# Specify VM and Python environment:
vm_env = Environment.from_conda_specification(name='my-test-env', file_path=PATH_TO_YAML_FILE)
vm_env.docker.base_image = 'mcr.microsoft.com/azureml/openmpi3.1.2-cuda10.2-cudnn7-ubuntu18.04'

docker_config = DockerConfiguration(use_docker=True)

# Finally, use the environment in the ScriptRunConfig:
src = ScriptRunConfig(source_directory=DEPLOY_CONTAINER_FOLDER_PATH,
                      script=SCRIPT_FILE_TO_EXECUTE,
                      arguments=EXECUTE_ARGUMENTS,
                      compute_target=compute_target,
                      environment=vm_env,
                      docker_runtime_config=docker_config)