fixed model output

src/aiia/model/Model.py

@@ -163,6 +163,20 @@ class AIIAExpert(AIIA):
             self.base_cnn = AIIABaseShared(self.config, **kwargs)
         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):