【发布时间】:2020-09-08 01:14:40
【问题描述】:
我正在尝试使用 Python 语言使用 AWS CDK 自动部署 SageMaker 多模型终端节点(我想通过直接以 json/yaml 格式编写 CloudFormation 模板会是一样的),但是在尝试部署它时,创建 SageMaker 模型时发生错误。
这是使用cdk synth 命令制作的 CloudFormation 模板的一部分:
Resources:
smmodelexecutionrole:
Type: AWS::IAM::Role
Properties:
AssumeRolePolicyDocument:
Statement:
- Action: sts:AssumeRole
Effect: Allow
Principal:
Service: sagemaker.amazonaws.com
Version: "2012-10-17"
Policies:
- PolicyDocument:
Statement:
- Action: s3:GetObject
Effect: Allow
Resource:
Fn::Join:
- ""
- - "arn:"
- Ref: AWS::Partition
- :s3:::<bucket_name>/deploy_multi_model_artifact/*
Version: "2012-10-17"
PolicyName: policy_s3
- PolicyDocument:
Statement:
- Action: ecr:*
Effect: Allow
Resource:
Fn::Join:
- ""
- - "arn:"
- Ref: AWS::Partition
- ":ecr:"
- Ref: AWS::Region
- ":"
- Ref: AWS::AccountId
- :repository/<my_ecr_repository>
Version: "2012-10-17"
PolicyName: policy_ecr
Metadata:
aws:cdk:path: <omitted>
smmodel:
Type: AWS::SageMaker::Model
Properties:
ExecutionRoleArn:
Fn::GetAtt:
- smmodelexecutionrole
- Arn
Containers:
- Image: xxxxxxxxxxxx.dkr.ecr.<my_aws_region>.amazonaws.com/<my_ecr_repository>/multi-model:latest
Mode: MultiModel
ModelDataUrl: s3://<bucket_name>/deploy_multi_model_artifact/
ModelName: MyModel
Metadata:
aws:cdk:path: <omitted>
在终端上运行cdk deploy时,出现如下错误:
3/6 | 7:56:58 PM | CREATE_FAILED | AWS::SageMaker::Model | sm_model (smmodel)
Could not access model data at s3://<bucket_name>/deploy_multi_model_artifact/.
Please ensure that the role "arn:aws:iam::xxxxxxxxxxxx:role/<my_role>" exists
and that its trust relationship policy allows the action "sts:AssumeRole" for the service principal "sagemaker.amazonaws.com".
Also ensure that the role has "s3:GetObject" permissions and that the object is located in <my_aws_region>.
(Service: AmazonSageMaker; Status Code: 400; Error Code: ValidationException; Request ID: xxxxx)
我有什么:
- 包含 docker 映像的 ECR 存储库
- 在“文件夹”“deploy_multi_model_artifact”中包含模型工件(.tar.gz 文件)的 S3 存储桶
为了测试是否是 IAM 角色问题,我尝试将 MultiModel 替换为 SingleModel 并将 s3://<bucket_name>/deploy_multi_model_artifact/ 替换为 s3://<bucket_name>/deploy_multi_model_artifact/one_of_my_artifacts.tar.gz,我可以成功创建模型。然后我猜测这不是与 IAM 相关的问题,这与错误消息告诉我的相反(但我可能会犯错!)。
所以我想知道问题出在哪里。这更加令人困惑,因为我已经使用 boto3 毫无问题地部署了这个多模型端点。
任何帮助将不胜感激!
【问题讨论】:
标签: deployment amazon-cloudformation amazon-iam amazon-sagemaker clouddevelopmentkit