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您可以执行以下操作:
使用在 Docker 部分中指定的自定义 Docker 映像的坐标创建一个 [Environment][1]。
使用该 Environment 作为参数创建 [InferenceConfig][2],并在部署模型时使用它。
例如,假设您已经有一个模型并省略了其他参数:
from azureml.core.environment import Environment
from azureml.core.model import InferenceConfig
env = Environment(name="myenv")
env.docker.base_image = "mybaseimage"
env.docker.base_image_registry.address = "ip-address"
env.docker.base_image_registry.username = "my-username"
env.docker.base_image_registry.password = "my-password"
ic = InferenceConfig(…,environment = env)
model.deploy(…,inference_config = ic)
[1]: https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.environment.environment?view=azure-ml-py
[2]: https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.model.inferenceconfig?view=azure-ml-py
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