diff --git a/core/trainers/framework/runner.py b/core/trainers/framework/runner.py
index 5da1f5df723d43dcefd327193e0b7e7ab5368366..277b2ac7bbd1ad42f40f3501f6497fc471b762f6 100644
--- a/core/trainers/framework/runner.py
+++ b/core/trainers/framework/runner.py
@@ -520,7 +520,6 @@ class SingleInferRunner(RunnerBase):
     def run(self, context):
         self._dir_check(context)
 
-        self.epoch_model_name_list.sort()
         for index, epoch_name in enumerate(self.epoch_model_name_list):
             for model_dict in context["phases"]:
                 model_class = context["model"][model_dict["name"]]["model"]
diff --git a/models/recall/gnn/config.yaml b/models/recall/gnn/config.yaml
index dd9c1728ab9a810b82ec0076913557f1486ac2ce..5573bdc3dbefcb16d7ab86212bc4dfcac4a72a87 100755
--- a/models/recall/gnn/config.yaml
+++ b/models/recall/gnn/config.yaml
@@ -42,14 +42,14 @@ hyper_parameters:
   gnn_propogation_steps: 1
 
 # select runner by name
-mode: [train_runner, infer_runner]
+mode: [single_cpu_train, single_cpu_infer]
 # config of each runner.
 # runner is a kind of paddle training class, which wraps the train/infer process.
 runner:
-- name: train_runner
+- name: single_cpu_train
   class: train
   # num of epochs
-  epochs: 2
+  epochs: 5
   # device to run training or infer
   device: cpu
   save_checkpoint_interval: 1 # save model interval of epochs
@@ -61,7 +61,7 @@ runner:
   init_model_path: "" # load model path
   print_interval: 1
   phases: [phase1]
-- name: infer_runner
+- name: single_cpu_infer
   class: infer
   # device to run training or infer
   device: cpu