diff --git a/core/trainers/framework/network.py b/core/trainers/framework/network.py
index 74d2c97540419b15e6a5d0f87b3c5af368a7e9b3..d2a6b71e4f74a639095eb404a82c9c1fefaf7fdf 100644
--- a/core/trainers/framework/network.py
+++ b/core/trainers/framework/network.py
@@ -99,7 +99,8 @@ class SingleNetwork(NetworkBase):
         context["dataset"] = {}
         for dataset in context["env"]["dataset"]:
             type = envs.get_global_env("dataset." + dataset["name"] + ".type")
-            if type != "DataLoader":
+
+            if type == "QueueDataset":
                 dataset_class = QueueDataset(context)
                 context["dataset"][dataset[
                     "name"]] = dataset_class.create_dataset(dataset["name"],
@@ -133,9 +134,7 @@ class PSNetwork(NetworkBase):
         if envs.get_global_env("dataset." + dataset_name +
                                ".type") == "DataLoader":
             model._init_dataloader(is_infer=False)
-            data_loader = DataLoader(context)
-            data_loader.get_dataloader(context, dataset_name,
-                                       model._data_loader)
+
         model.net(model._data_var, False)
         optimizer = model.optimizer()
         strategy = self._build_strategy(context)
@@ -160,7 +159,11 @@ class PSNetwork(NetworkBase):
             for dataset in context["env"]["dataset"]:
                 type = envs.get_global_env("dataset." + dataset["name"] +
                                            ".type")
-                if type != "DataLoader":
+                if type == "DataLoader":
+                    data_loader = DataLoader(context)
+                    data_loader.get_dataloader(context, dataset_name,
+                                               model._data_loader)
+                elif type == "QueueDataset":
                     dataset_class = QueueDataset(context)
                     context["dataset"][dataset[
                         "name"]] = dataset_class.create_dataset(
@@ -229,9 +232,6 @@ class PslibNetwork(NetworkBase):
                     if envs.get_global_env("dataset." + dataset_name +
                                            ".type") == "DataLoader":
                         model._init_dataloader(is_infer=False)
-                        data_loader = DataLoader(context)
-                        data_loader.get_dataloader(context, dataset_name,
-                                                   model._data_loader)
                     model.net(model._data_var, False)
                     optimizer = model.optimizer()
 
@@ -257,7 +257,11 @@ class PslibNetwork(NetworkBase):
             for dataset in context["env"]["dataset"]:
                 type = envs.get_global_env("dataset." + dataset["name"] +
                                            ".type")
-                if type != "DataLoader":
+                if type == "DataLoader":
+                    data_loader = DataLoader(context)
+                    data_loader.get_dataloader(context, dataset_name, context[
+                        "model"][model_dict["name"]]["model"]._data_loader)
+                elif type == "QueueDataset":
                     dataset_class = QueueDataset(context)
                     context["dataset"][dataset[
                         "name"]] = dataset_class.create_dataset(
@@ -323,7 +327,10 @@ class CollectiveNetwork(NetworkBase):
         context["dataset"] = {}
         for dataset in context["env"]["dataset"]:
             type = envs.get_global_env("dataset." + dataset["name"] + ".type")
-            if type != "DataLoader":
+            if type == "QueueDataset":
+                raise ValueError(
+                    "Collective don't support QueueDataset training, please use DataLoader."
+                )
                 dataset_class = QueueDataset(context)
                 context["dataset"][dataset[
                     "name"]] = dataset_class.create_dataset(dataset["name"],