Azure 504 DeploymentTimedOut错误-服务部署轮询达到未成功的终端状态，当前服务状态

我正试图在Azure的AciWebservice中部署我的机器学习模型，以公开端点以供进一步使用。但是，它显示了DeploymentTimedOut的状态504错误。在本地，我的模型运行良好。这是我的预测

%%writefile prediction.py
import json
import numpy as np
import os
import pickle
from sklearn.externals import joblib
from sklearn.linear_model import LogisticRegression
from azureml.core.model import InferenceConfig
from azureml.core.conda_dependencies import CondaDependencies
from azureml.core.model import Model
from azureml.core.environment import Environment
from azureml.core.webservice import LocalWebservice, Webservice

def init():
    global model
    # retrieve the path to the model file using the model name
    model_path = Model.get_model_path('prediction_model')
    model = joblib.load(model_path)

def run(raw_data):
    data = np.array(json.loads(raw_data)['data'])
    # make prediction
    y_hat = model.predict(data)
    return json.dumps(y_hat.tolist())

这就是环境

myenv = Environment(name="myenv")
myenv.docker.enabled = True
myenv.docker.base_image = "mcr.microsoft.com/azureml/o16n-sample-user-base/ubuntu-miniconda"


myenv.docker.base_image_registry.address = "shohozds.azurecr.io"
myenv.docker.base_image_registry.username = "farhad"
myenv.docker.base_image_registry.password = "*********************"

myenv.inferencing_stack_version = "latest" 


conda_dep = CondaDependencies()

conda_dep.add_pip_package("azureml-defaults")
myenv.python.conda_dependencies=conda_dep
myenv.register(workspace=ws)

在推断配置中使用此环境

inference_config = InferenceConfig(entry_script="prediction.py",
                                   environment=envs['myenv'])

网络服务配置

deployment_config = AciWebservice.deploy_configuration(cpu_cores = 1, memory_gb = 1)

现在是模型部署

service = Model.deploy(ws, "myservice", [model], inference_config, deployment_config)
service.wait_for_deployment(show_output = True)
print(service.state)

但我面临着这个错误

"code": "DeploymentTimedOut",
"statusCode": 504,

这是完整的痕迹

ERROR - Service deployment polling reached non-successful terminal state, current service state: Unhealthy
Operation ID: 0e37b930-2707-4d6b-92b0-2203d1c45978
More information can be found using '.get_logs()'
Error:
{
  "code": "DeploymentTimedOut",
  "statusCode": 504,
  "message": "The deployment operation polling has TimedOut. The service creation is taking longer than our normal time. We are still trying to achieve the desired state for the web service. Please check the webservice state for the current webservice health. You can run print(service.state) from the python SDK to retrieve the current state of the webservice."
}

---

很可能在初始化期间出现故障，导致服务保持不正常状态

根据错误消息，您可以运行

service.get_logs（）

，从不正常的服务中获取日志信息，查看是什么导致它失败。如果让我猜一下，看看你的代码，它可能是get_model_path的问题，但是日志会肯定地说

可以找到有关如何调试失败服务的更多信息