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Description
Multi-model endpoint workers die when the entry point imports a package installed through requirements.txt. The package is installed successfully and the endpoint is created successfully, but inference requests always fail.
ModelError: An error occurred (ModelError) when calling the InvokeEndpoint operation: Received server error (500) from model with message "{
"code": 500,
"type": "InternalServerException",
"message": "Worker died."
}
To reproduce
Include a requirements.txt in the source_dir and import the installed package in the entry point script or the model_fn.
https://gist.github.com/gavinmh/267bc34ddedaf0931151a901859e165d changes the sklearn_multi_model_endpoint_home_value.ipynb example notebook.
In particular, it adds:
%%writefile $SOURCE_DIR/requirements.txt
shap
Expected behavior
shap is imported.
Screenshots or logs
System information
A description of your system. Please provide:
- SageMaker Python SDK version: 2.3.0
- Framework name (eg. PyTorch) or algorithm (eg. KMeans): sklearn
- Framework version: 0.23-1
- Python version: 3.7
- CPU or GPU: CPU
- Custom Docker image (Y/N): N
Additional context
Add any other context about the problem here.