cancel restriction for base model

fastNLP/models/base_model.py

@@ -3,31 +3,12 @@ import torch
 
 class BaseModel(torch.nn.Module):
     """Base PyTorch model for all models.
-        Three network modules presented:
+        To do: add some useful common features
-            - encoder module
-            - aggregation module
-            - decoder module
-        Subclasses must implement these three modules with "components".
     """
 
     def __init__(self):
         super(BaseModel, self).__init__()
 
-    def forward(self, *inputs):
-        x = self.encode(*inputs)
-        x = self.aggregate(x)
-        x = self.decode(x)
-        return x
-
-    def encode(self, x):
-        raise NotImplementedError
-
-    def aggregate(self, x):
-        raise NotImplementedError
-
-    def decode(self, x):
-        raise NotImplementedError
-
 
 class Vocabulary(object):
     """A look-up table that allows you to access `Lexeme` objects. The `Vocab`