serialize_value_or_type#
- bayesflow.utils.serialize_value_or_type(config, name, obj)[source]#
Serialize an object that can be either a value or a type and add it to a copy of the supplied dictionary.
- Parameters:
- configdict
Dictionary to add the serialized object to. This function does not modify the dictionary in place, but returns a modified copy.
- namestr
Name of the obj that should be stored. Required for later deserialization.
- objobject or type
The object to serialize. If obj is of type type, we use keras.saving.get_registered_name to obtain the registered type name. If it is not a type, we try to serialize it as a Keras object.
- Returns:
- updated_configdict
Updated dictionary with a new key “_bayesflow_<name>_type” or “_bayesflow_<name>_val”. The prefix is used to avoid name collisions, the suffix indicates how the stored value has to be deserialized.
Notes
We allow strings or type parameters at several places to instantiate objects of a given type (e.g., subnet in CouplingFlow). As type objects cannot be serialized, we have to distinguish the two cases for serialization and deserialization. This function is a helper function to standardize and simplify this.