Update modeling_norbert.py

modeling_norbert.py

@@ -140,8 +140,8 @@ class Attention(nn.Module):
 
         position_indices = torch.arange(config.max_position_embeddings, dtype=torch.long).unsqueeze(1) \
             - torch.arange(config.max_position_embeddings, dtype=torch.long).unsqueeze(0)
-        position_indices = self.make_log_bucket_position(position_indices, config.position_bucket_size, config.max_position_embeddings)
-        position_indices = config.position_bucket_size - 1 + position_indices
+        position_indices = self.make_log_bucket_position(position_indices, config.config.position_bucket_size, config.max_position_embeddings)
+        position_indices = config.config.position_bucket_size - 1 + position_indices
         self.register_buffer("position_indices", position_indices, persistent=True)
 
         self.dropout = nn.Dropout(config.attention_probs_dropout_prob)