fix: return

go_ia/main.py

@@ -302,14 +302,6 @@ if __name__ == "__main__":
         checkpoint = torch.load(args.m, weights_only=True)
         mymodel.load_state_dict(checkpoint["model_state_dict"])
 
-    if args.R is not None:
-        if args.m is None:
-            print("You need to specify weights for a model")
-            return
-
-        with gzip.open(args.R) as fz:
-            data = json.loads(fz.read().decode("utf-8"))
-        create_result_file(data)
 
     if args.t is not None and args.T is not None:
         trainset = torch.load(args.t)