fix: dont save prototype initializer in yarch checkpoint

prototorch/y/architectures/base.py

@@ -6,13 +6,7 @@ Network architecture for Component based Learning.
 from __future__ import annotations
 
 from dataclasses import dataclass
-from typing import (
-    Any,
-    Callable,
-    Dict,
-    Set,
-    Type,
-)
+from typing import Any, Callable
 
 import pytorch_lightning as pl
 import torch
@@ -34,12 +28,15 @@ class BaseYArchitecture(pl.LightningModule):
 
     def __init__(self, hparams) -> None:
         if type(hparams) is dict:
+            self.save_hyperparameters(hparams)
+            # TODO: => Move into Component Child
+            del hparams["initialized_proto_shape"]
             hparams = self.HyperParameters(**hparams)
+        else:
+            self.save_hyperparameters(hparams.__dict__)
 
         super().__init__()
 
-        self.save_hyperparameters(hparams.__dict__)
-
         # Common Steps
         self.init_components(hparams)
         self.init_latent(hparams)
@@ -220,6 +217,7 @@ class BaseYArchitecture(pl.LightningModule):
         self.update_metrics_epoch()
 
     def on_save_checkpoint(self, checkpoint: dict[str, Any]) -> None:
+        checkpoint["hyper_parameters"]["component_initializer"] = None
         checkpoint["hyper_parameters"] = {
             'hparams': checkpoint["hyper_parameters"]
         }

prototorch/y/architectures/components.py

@@ -4,6 +4,7 @@ from prototorch.core.components import LabeledComponents
 from prototorch.core.initializers import (
     AbstractComponentsInitializer,
     LabelsInitializer,
+    ZerosCompInitializer,
 )
 from prototorch.y import BaseYArchitecture
 
@@ -30,11 +31,21 @@ class SupervisedArchitecture(BaseYArchitecture):
     # Steps
     # ----------------------------------------------------------------------------------------------------
     def init_components(self, hparams: HyperParameters):
+        if hparams.component_initializer is not None:
             self.components_layer = LabeledComponents(
                 distribution=hparams.distribution,
                 components_initializer=hparams.component_initializer,
                 labels_initializer=LabelsInitializer(),
             )
+            proto_shape = self.components_layer.components.shape[1:]
+            self.hparams["initialized_proto_shape"] = proto_shape
+        else:
+            # when restoring a checkpointed model
+            self.components_layer = LabeledComponents(
+                distribution=hparams.distribution,
+                components_initializer=ZerosCompInitializer(
+                    self.hparams["initialized_proto_shape"]),
+            )
 
     # Properties
     # ----------------------------------------------------------------------------------------------------