Documentation ¶
Overview ¶
+kubebuilder:rbac:groups=serving.kubeflow.org,resources=trainedmodels,verbs=get;list;watch;create;update;patch;delete +kubebuilder:rbac:groups=serving.kubeflow.org,resources=trainedmodels/status,verbs=get;update;patch +kubebuilder:rbac:groups=serving.knative.dev,resources=services,verbs=get;list;watch;create;update;patch;delete +kubebuilder:rbac:groups=serving.knative.dev,resources=services/status,verbs=get;update;patch +kubebuilder:rbac:groups=core,resources=serviceaccounts,verbs=get;list;watch +kubebuilder:rbac:groups=core,resources=configmaps,verbs=get;list;watch;update +kubebuilder:rbac:groups=core,resources=secrets,verbs=get;list;watch;create;update;patch;delete +kubebuilder:rbac:groups=core,resources=namespaces,verbs=get;list;watch +kubebuilder:rbac:groups=core,resources=events,verbs=get;list;watch;create;update;patch;delete
Index ¶
Constants ¶
const ( InferenceServiceNotReady = "Inference Service \"%s\" is not ready. Trained Model \"%s\" cannot deploy" FrameworkNotSupported = "Inference Service \"%s\" does not support the Trained Model \"%s\" framework \"%s\"" MemoryResourceNotAvailable = "Inference Service \"%s\" memory resources are not available. Trained Model \"%s\" cannot deploy" IsNotMMSPredictor = "Inference Service \"%s\" predictor is not configured for multi-model serving. Trained Model \"%s\" cannot deploy" )
Variables ¶
This section is empty.
Functions ¶
This section is empty.
Types ¶
type TrainedModelReconciler ¶
type TrainedModelReconciler struct { client.Client Log logr.Logger Scheme *runtime.Scheme Recorder record.EventRecorder ModelConfigReconciler *modelconfig.ModelConfigReconciler }
TrainedModelReconciler reconciles a TrainedModel object
func (*TrainedModelReconciler) SetupWithManager ¶
func (r *TrainedModelReconciler) SetupWithManager(mgr ctrl.Manager) error