Update modeling_paragram_sp.py

modeling_paragram_sp.py

@@ -10,13 +10,9 @@ class ParagramSPModel(BertPreTrainedModel):
         # Initialize weights and apply final processing
         self.post_init()
 
-    #def forward(self, input_ids, attention_mask, token_type_ids, return_dict):
-    def forward(self, **inputs):
-        print(inputs)
+    def forward(self, input_ids, attention_mask):
         #print(input_ids)
         #print(attention_mask)
-        #print(token_type_ids)
-        #print(return_dict)
         embeddings = self.word_embeddings(input_ids)
         masked_embeddings = embeddings * attention_mask[:, :, None]
         mean_pooled_embeddings = masked_embeddings.sum(dim=1) / attention_mask[:, :, None].sum(dim=1)