src/aiia/model/Model.py

@@ -164,6 +164,20 @@ class AIIAExpert(AIIA):
         else:
             raise ValueError("Invalid base class")
     
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        """
+        Forward pass of the expert model.
+        
+        Args:
+            x (torch.Tensor): Input tensor
+            
+        Returns:
+            torch.Tensor: Output tensor after processing through base CNN
+        """
+        # Process input through the base CNN
+        return self.base_cnn(x)
+
+
 class AIIAmoe(AIIA):
     def __init__(self, config: AIIAConfig, num_experts: int = 3, base_class=AIIABase, **kwargs):
         super().__init__(config=config, **kwargs)