diff --git a/hapi/callbacks.py b/hapi/callbacks.py
index bf6d565ee0b340bbca53c12796128e12803d7623..f7bb878578d1e90a4dffbb40e4ff0a2ee0321d7b 100644
--- a/hapi/callbacks.py
+++ b/hapi/callbacks.py
@@ -296,7 +296,7 @@ class ProgBarLogger(Callback):
         self.tested_samples = 0
         self.test_progbar = ProgressBar(
             num=self.test_steps, verbose=self.verbose)
-        if ParallelEnv().local_rank == 0:
+        if self._is_print():
             print('Predict begin...')
 
     def on_test_batch_end(self, step, logs=None):
diff --git a/hapi/model.py b/hapi/model.py
index 94ac6230b8407fa84b923e617addfaa0f53f39d1..083d2ee0f8bcd38545b66b25312d4da2042140cf 100644
--- a/hapi/model.py
+++ b/hapi/model.py
@@ -1303,22 +1303,19 @@ class Model(fluid.dygraph.Layer):
         cbks.on_begin('train')
         for epoch in range(epochs):
 
-            loader = train_loader
-
             cbks.on_epoch_begin(epoch)
-            logs = self._run_one_epoch(loader, cbks, 'train')
+            logs = self._run_one_epoch(train_loader, cbks, 'train')
             cbks.on_epoch_end(epoch, logs)
 
             if do_eval and epoch % eval_freq == 0:
-                loader = eval_loader
 
-                eval_steps = self._len_data_loader(loader)
+                eval_steps = self._len_data_loader(eval_loader)
                 cbks.on_begin('eval', {
                     'steps': eval_steps,
                     'metrics_name': self._metrics_name()
                 })
 
-                logs = self._run_one_epoch(loader, cbks, 'eval')
+                logs = self._run_one_epoch(eval_loader, cbks, 'eval')
 
                 cbks.on_end('eval', logs)
 
@@ -1414,15 +1411,13 @@ class Model(fluid.dygraph.Layer):
             verbose=verbose,
             metrics=self._metrics_name(), )
 
-        loader = eval_loader
-
-        eval_steps = self._len_data_loader(loader)
+        eval_steps = self._len_data_loader(eval_loader)
         cbks.on_begin('eval', {
             'steps': eval_steps,
             'metrics_name': self._metrics_name()
         })
 
-        logs = self._run_one_epoch(loader, cbks, 'eval')
+        logs = self._run_one_epoch(eval_loader, cbks, 'eval')
 
         cbks.on_end('eval', logs)
 
@@ -1522,18 +1517,16 @@ class Model(fluid.dygraph.Layer):
 
         self._test_dataloader = test_loader
 
-        loader = test_loader
-
         cbks = config_callbacks(callbacks, model=self, verbose=1)
 
-        test_steps = self._len_data_loader(loader)
+        test_steps = self._len_data_loader(test_loader)
         logs = {'steps': test_steps}
 
         cbks.on_begin('test', logs)
 
         outputs = []
 
-        logs, outputs = self._run_one_epoch(loader, cbks, 'test')
+        logs, outputs = self._run_one_epoch(test_loader, cbks, 'test')
 
         outputs = list(zip(*outputs))