diff --git a/examples/model_rolling/task_manager_rolling.py b/examples/model_rolling/task_manager_rolling.py
index 844f18198..091a87862 100644
--- a/examples/model_rolling/task_manager_rolling.py
+++ b/examples/model_rolling/task_manager_rolling.py
@@ -17,7 +17,7 @@ from qlib.workflow.task.gen import RollingGen, task_generator
 from qlib.workflow.task.manage import TaskManager, run_task
 from qlib.workflow.task.collect import RecorderCollector
 from qlib.model.ens.group import RollingGroup
-from qlib.model.trainer import TrainerRM
+from qlib.model.trainer import TrainerRM, task_train
 from qlib.tests.config import CSI100_RECORD_LGB_TASK_CONFIG, CSI100_RECORD_XGBOOST_TASK_CONFIG
 
 
diff --git a/qlib/contrib/model/pytorch_tabnet.py b/qlib/contrib/model/pytorch_tabnet.py
index b05d9a026..bd8f085ec 100644
--- a/qlib/contrib/model/pytorch_tabnet.py
+++ b/qlib/contrib/model/pytorch_tabnet.py
@@ -564,7 +564,7 @@ class FeatureTransformer(nn.Module):
             self.shared = None
         self.independ = nn.ModuleList()
         if first:
-            self.independ.append(GLU(inp, out_dim, vbs=vbs))
+            self.independ.append(GLU(inp_dim, out_dim, vbs=vbs))
         for x in range(first, n_ind):
             self.independ.append(GLU(out_dim, out_dim, vbs=vbs))
         self.scale = float(np.sqrt(0.5))