Update modeling_gcn.py

modeling_gcn.py

@@ -145,6 +145,36 @@ class GCNNet(torch.nn.Module):
 
         return x.squeeze(-1)
 
+
+from transformers import PretrainedConfig
+from typing import List
+class GCNConfig(PretrainedConfig):
+    model_type = "gcn"
+
+    def __init__(
+        self,
+        input_feature: int=64,
+        emb_input: int=20,
+        hidden_size: int=64,
+        n_layers: int=6,
+        num_classes: int=1,
+        smiles: List[str] = None,
+        processor_class: str = "SmilesProcessor",
+        **kwargs,
+    ):
+
+        self.input_feature = input_feature        # the dimension of input feature
+        self.emb_input = emb_input                # the embedding dimension of input feature
+        self.hidden_size = hidden_size            # the hidden size of GCN
+        self.n_layers = n_layers                  # the number of GCN layers
+        self.num_classes = num_classes            # the number of output classes
+
+        self.smiles = smiles                      # process smiles
+        self.processor_class = processor_class
+
+        super().__init__(**kwargs)
+
+        
 class GCNModel(PreTrainedModel):
     config_class = GCNConfig