UnexpectedStatusException: Error hosting endpoint mira-large-keras-endpoint-serverless-tfmodel2022-07-06-22-49-53: Failed. Reason: Received server error (0) from model with message "An error occurred while handling request as the model process exited.". See https://us-west-2.console.aws.amazon.com/cloudwatch/home?region=us-west-2#logEventViewer:group=/aws/sagemaker/Endpoints/mira-large-keras-endpoint-serverless-tfmodel2022-07-06-22-49-53 in account 830244800171 for more information..
ERROR: Could not install packages due to an EnvironmentError: [Errno 13]
this could be because sagemaker serverless doesn't support pip installing requirements (located in the export folder next to inference.py). It probably only supports spinning up a container and executing inference.py. I think this requires making a custom container for the MIRA models rather than using the sagemaker containers
location / {return 404 '{"error": "Not Found"}';
I'm not sure what the above error is about. the only thing changed was adding a serverless config to the TensorflowModel.
https://us-west-2.console.aws.amazon.com/cloudwatch/home?region=us-west-2#logEventViewer:group=/aws/sagemaker/Endpoints/mira-large-keras-endpoint-serverless-tfmodel2022-07-06-22-49-53
two errors in the logs jump out
this could be because sagemaker serverless doesn't support pip installing requirements (located in the export folder next to inference.py). It probably only supports spinning up a container and executing inference.py. I think this requires making a custom container for the MIRA models rather than using the sagemaker containers
I'm not sure what the above error is about. the only thing changed was adding a serverless config to the TensorflowModel.