我正在尝试在 Azure Machine Learning Studio 中将模型部署到 Kubernetes，它工作了一段时间，但现在，它在部署过程中失败，错误消息如下：
Deploy: Failed on step WaitServiceCreating. Details: AzureML service API error.
Your container application crashed. This may be caused by errors in your scoring file's init() function.
Please check the logs for your container instance: pipeline-created-on-07-28-2020-r.
From the AML SDK, you can run print(service.get_logs()) if you have service object to fetch the logs.
You can also try to run image viennaglobal.azurecr.io/azureml/azureml_6ae744633f749472feb283065055dc2c:latest locally.
Please refer to http://aka.ms/debugimage#service-launch-fails for more information.
{
"code": "KubernetesDeploymentFailed",
"statusCode": 400,
"message": "Kubernetes Deployment failed",
"details": [
{
"code": "CrashLoopBackOff",
"message": "Your container application crashed. This may be caused by errors in your scoring file's init() function.
Please check the logs for your container instance: pipeline-created-on-07-28-2020-r. From the AML SDK, you can run print(service.get_logs()) if you have service object to fetch the logs. \nYou can also try to run image viennaglobal.azurecr.io/azureml/azureml_6ae744633f749472feb283065055dc2c:latest locally. Please refer to http://aka.ms/debugimage#service-launch-fails for more information."
}
]
}