cellflow.networks.ConditionEncoder.create_train_state¶ ConditionEncoder.create_train_state(rng, optimizer, conditions, **kwargs)[source]¶ Create initial training state. Parameters: rng (Array) optimizer (Array | ndarray | bool | number | bool | int | float | complex | Iterable[ArrayTree] | Mapping[Any, ArrayTree]) conditions (dict[str, Array]) kwargs (Any)