tempo.serve.model moduleΒΆ
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class
tempo.serve.model.
Model
(name: str, protocol: tempo.serve.protocol.Protocol = V2Protocol(), local_folder: str = None, uri: str = None, platform: tempo.serve.metadata.ModelFramework = None, inputs: Optional[Union[Type, List, Dict[str, Type]]] = None, outputs: Optional[Union[Type, List, Dict[str, Type]]] = None, model_func: Callable[[...], Any] = None, conda_env: str = None, runtime_options: Union[tempo.serve.metadata.KubernetesRuntimeOptions, tempo.serve.metadata.DockerOptions, tempo.serve.metadata.EnterpriseRuntimeOptions] = DockerOptions(runtime='tempo.seldon.SeldonDockerRuntime', state_options=StateOptions(state_type=<StateTypes.LOCAL: 'LOCAL'>, key_prefix='', host='', port=''), insights_options=InsightsOptions(worker_endpoint='', batch_size=1, parallelism=1, retries=3, window_time=0, mode_type=<InsightRequestModes.NONE: 'NONE'>, in_asyncio=False), ingress_options=IngressOptions(ingress='tempo.ingress.istio.IstioIngress', ssl=False, verify_ssl=True)), description: str = '')ΒΆ Bases:
tempo.serve.base.BaseModel
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__init__
(name: str, protocol: tempo.serve.protocol.Protocol = V2Protocol(), local_folder: str = None, uri: str = None, platform: tempo.serve.metadata.ModelFramework = None, inputs: Optional[Union[Type, List, Dict[str, Type]]] = None, outputs: Optional[Union[Type, List, Dict[str, Type]]] = None, model_func: Callable[[...], Any] = None, conda_env: str = None, runtime_options: Union[tempo.serve.metadata.KubernetesRuntimeOptions, tempo.serve.metadata.DockerOptions, tempo.serve.metadata.EnterpriseRuntimeOptions] = DockerOptions(runtime='tempo.seldon.SeldonDockerRuntime', state_options=StateOptions(state_type=<StateTypes.LOCAL: 'LOCAL'>, key_prefix='', host='', port=''), insights_options=InsightsOptions(worker_endpoint='', batch_size=1, parallelism=1, retries=3, window_time=0, mode_type=<InsightRequestModes.NONE: 'NONE'>, in_asyncio=False), ingress_options=IngressOptions(ingress='tempo.ingress.istio.IstioIngress', ssl=False, verify_ssl=True)), description: str = '')ΒΆ - Parameters
name β Name of the pipeline. Needs to be Kubernetes compliant.
protocol β
tempo.serve.protocol.Protocol
. Defaults to KFserving V2.local_folder β Location of local artifacts.
uri β Location of remote artifacts.
platform β The
tempo.serve.metadata.ModelFramework
inputs β The input types.
outputs β The output types.
conda_env β The conda environment name to use. If not specified will look for conda.yaml in local_folder or generate from current running environment.
runtime_options β The runtime options. Can be left empty and set when creating a runtime.
description β The description of the model
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