sdk/python/pulumi_aws/sagemaker/_inputs.py
def image_config(self) -> Optional[pulumi.Input['ModelPrimaryContainerImageConfigArgs']]:
        """
        Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For more information see [Using a Private Docker Registry for Real-Time Inference Containers](https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms-containers-inference-private.html). see Image Config.
        """
        return pulumi.get(self, "image_config")

        Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For more information see [Using a Private Docker Registry for Real-Time Inference Containers](https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms-containers-inference-private.html). see Image Config.
        
Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For more information see [Using a Private Docker Registry for Real-Time Inference Containers]. see Image Config.
Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud ( VPC ) . For more information see [ Using a Private Docker Registry for Real - Time Inference Containers ] . see Image Config .
def image_config(self) -> Optional[pulumi.Input['ModelPrimaryContainerImageConfigArgs']]:
        return pulumi.get(self, "image_config")
def image_config ( self ) -> Optional [ pulumi . Input [ 'ModelPrimaryContainerImageConfigArgs' ] ] : return pulumi . get ( self , "image_config" )
Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC).
Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud ( VPC ) .
"""
        Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For more information see [Using a Private Docker Registry for Real-Time Inference Containers](https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms-containers-inference-private.html). see Image Config.
        """
self