diff --git a/fleet_rec/core/trainers/single_trainer.py b/fleet_rec/core/trainers/single_trainer.py
index 9cf970827b08a5b71f036ad1fab192ce1b80d03b..040334fc72e800a5db63efffc3e883baf518a715 100644
--- a/fleet_rec/core/trainers/single_trainer.py
+++ b/fleet_rec/core/trainers/single_trainer.py
@@ -122,6 +122,10 @@ class SingleTrainer(TranspileTrainer):
             with fluid.program_guard(infer_program, startup_program):
                 self.model.infer_net()
 
+        if self.model._infer_data_loader is None:
+            context['status'] = 'terminal_pass'
+            return
+
         reader = self._get_dataloader("Evaluate")
 
         metrics_varnames = []
diff --git a/fleet_rec/core/trainers/transpiler_trainer.py b/fleet_rec/core/trainers/transpiler_trainer.py
index eb7d8b0b8f3a6c52b9fdf0a9a63b49e08f062141..84bf3f89b0840e8d8e635e2f3be32e8e601416aa 100644
--- a/fleet_rec/core/trainers/transpiler_trainer.py
+++ b/fleet_rec/core/trainers/transpiler_trainer.py
@@ -102,8 +102,8 @@ class TranspileTrainer(Trainer):
             if not need_save(epoch_id, save_interval, False):
                 return
             
-        #    print("save inference model is not supported now.")
-        #    return
+            print("save inference model is not supported now.")
+            return
 
             feed_varnames = envs.get_global_env("save.inference.feed_varnames", None, namespace)
             fetch_varnames = envs.get_global_env("save.inference.fetch_varnames", None, namespace)