sdk/python/pulumi_aws/sagemaker/model.py
def inference_execution_config(self) -> Optional[pulumi.Input['ModelInferenceExecutionConfigArgs']]:
        """
        Specifies details of how containers in a multi-container endpoint are called. see Inference Execution Config.
        """
        return pulumi.get(self, "inference_execution_config")

        Specifies details of how containers in a multi-container endpoint are called. see Inference Execution Config.
        
Specifies details of how containers in a multi-container endpoint are called. see Inference Execution Config.
Specifies details of how containers in a multi - container endpoint are called . see Inference Execution Config .
def inference_execution_config(self) -> Optional[pulumi.Input['ModelInferenceExecutionConfigArgs']]:
        return pulumi.get(self, "inference_execution_config")
def inference_execution_config ( self ) -> Optional [ pulumi . Input [ 'ModelInferenceExecutionConfigArgs' ] ] : return pulumi . get ( self , "inference_execution_config" )
Specifies details of how containers in a multi-container endpoint are called.
Specifies details of how containers in a multi - container endpoint are called .
"""
        Specifies details of how containers in a multi-container endpoint are called. see Inference Execution Config.
        """
self