AdditionalInferenceSpecificationDefinition ¶

class AdditionalInferenceSpecificationDefinition(TypedDict, closed=True):
    name: NotRequired["capo_sagemaker.types.entity_name.EntityName"]
    """<p>A unique name to identify the additional inference specification. The name must be unique within the list of your additional inference specifications for a particular model package.</p>"""
    description: NotRequired[
        "capo_sagemaker.types.entity_description.EntityDescription"
    ]
    """<p>A description of the additional Inference specification</p>"""
    containers: NotRequired[
        "capo_sagemaker.types.model_package_container_definition_list.ModelPackageContainerDefinitionList"
    ]
    """<p>The Amazon ECR registry path of the Docker image that contains the inference code.</p>"""
    supported_transform_instance_types: NotRequired[
        "capo_sagemaker.types.transform_instance_types.TransformInstanceTypes"
    ]
    """<p>A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.</p>"""
    supported_realtime_inference_instance_types: NotRequired[
        "capo_sagemaker.types.realtime_inference_instance_types.RealtimeInferenceInstanceTypes"
    ]
    """<p>A list of the instance types that are used to generate inferences in real-time.</p>"""
    supported_content_types: NotRequired[
        "capo_sagemaker.types.content_types.ContentTypes"
    ]
    """<p>The supported MIME types for the input data.</p>"""
    supported_response_mime_types: NotRequired[
        "capo_sagemaker.types.response_mime_types.ResponseMIMETypes"
    ]
    """<p>The supported MIME types for the output data.</p>"""