Add deployment config field to SagemakerEndpoint. #318
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Jan 14, 2025
| deployment_config: Optional[Dict] = None | ||
| """The deployment configuration for an undeployed endpoint or inference component | ||
| which can be deployed through the Sagemaker Python SDK ModelBuilder class. | ||
| Comprises two sub-dictionaries model_config and endpoint_config. |
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Suggested change
| Comprises two sub-dictionaries model_config and endpoint_config. | |
| Comprises two sub-dictionaries model_config and endpoint_config. |
| @@ -263,6 +268,33 @@ def transform_output(self, output: bytes) -> str: | |||
| .. _boto3: <https://boto3.amazonaws.com/v1/documentation/api/latest/index.html> | |||
| """ | |||
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| deployment_config: Optional[Dict] = None | |||
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Rather than keeping this as an open-ended dictionary, how about encoding this as a pydantic model, with allowed additions.
| @@ -263,6 +268,33 @@ def transform_output(self, output: bytes) -> str: | |||
| .. _boto3: <https://boto3.amazonaws.com/v1/documentation/api/latest/index.html> | |||
| """ | |||
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| deployment_config: Optional[Dict] = None | |||
| """The deployment configuration for an undeployed endpoint or inference component | |||
| which can be deployed through the Sagemaker Python SDK ModelBuilder class. | |||
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Are the Model Builder SDK changes available to test this?
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@cj-zhang |
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deployment_configfield onSagemakerEndpointto allow SageMaker model and compute definitions.