Move continuous-time consistency model to experimental module.

bayesflow/networks/consistency_models/continuous_consistency_model.py → bayesflow/experimental/continuous_time_consistency_model.py

@@ -19,12 +19,12 @@
 )
 
 
-from ..inference_network import InferenceNetwork
-from ..embeddings import FourierEmbedding
+from bayesflow.networks import InferenceNetwork
+from bayesflow.networks.embeddings import FourierEmbedding
 
 
 @register_keras_serializable(package="bayesflow.networks")
-class ContinuousConsistencyModel(InferenceNetwork):
+class ContinuousTimeConsistencyModel(InferenceNetwork):
     """Implements an sCM (simple, stable, and scalable Consistency Model)
     with continous-time Consistency Training (CT) as described in [1].
     The sampling procedure is taken from [2].

bayesflow/networks/__init__.py

@@ -1,5 +1,5 @@
 from .cif import CIF
-from .consistency_models import ConsistencyModel, ContinuousConsistencyModel
+from .consistency_models import ConsistencyModel
 from .coupling_flow import CouplingFlow
 from .deep_set import DeepSet
 from .flow_matching import FlowMatching

bayesflow/networks/consistency_models/__init__.py

@@ -1,2 +1 @@
 from .consistency_model import ConsistencyModel
-from .continuous_consistency_model import ContinuousConsistencyModel