model base: make forward method as abstract method

Author: aditya0by0

chebai/models/base.py

@@ -1,9 +1,9 @@
 import logging
+from abc import ABC, abstractmethod
 from typing import Any, Dict, Optional, Union
 
 import torch
 from lightning.pytorch.core.module import LightningModule
-from torchmetrics import Metric
 
 from chebai.preprocessing.structures import XYData
 
@@ -12,7 +12,7 @@
 _MODEL_REGISTRY = dict()
 
 
-class ChebaiBaseNet(LightningModule):
+class ChebaiBaseNet(LightningModule, ABC):
     """
     Base class for Chebai neural network models inheriting from PyTorch Lightning's LightningModule.
 
@@ -315,6 +315,7 @@ def _log_metrics(self, prefix: str, metrics: torch.nn.Module, batch_size: int):
                     logger=True,
                 )
 
+    @abstractmethod
     def forward(self, x: Dict[str, Any]) -> torch.Tensor:
         """
         Defines the forward pass.
@@ -325,7 +326,7 @@ def forward(self, x: Dict[str, Any]) -> torch.Tensor:
         Returns:
             torch.Tensor: The model output.
         """
-        raise NotImplementedError
+        pass
 
     def configure_optimizers(self, **kwargs) -> torch.optim.Optimizer:
         """