diff --git a/mindspore/nn/layer/basic.py b/mindspore/nn/layer/basic.py
index 359e4a29af..9b2b019eab 100644
--- a/mindspore/nn/layer/basic.py
+++ b/mindspore/nn/layer/basic.py
@@ -158,7 +158,7 @@ class Dropout(Cell):
         return out
 
     def extend_repr(self):
-        return 'keep_prob={}, dtype={}'.format(self.keep_prob, self.dtype)
+        return 'keep_prob={}'.format(self.keep_prob)
 
 
 class Flatten(Cell):
diff --git a/mindspore/nn/layer/normalization.py b/mindspore/nn/layer/normalization.py
index 71fe1b5032..0244aa7465 100644
--- a/mindspore/nn/layer/normalization.py
+++ b/mindspore/nn/layer/normalization.py
@@ -109,7 +109,8 @@ class _BatchNorm(Cell):
                                              epsilon=self.eps,
                                              momentum=self.momentum)
         self.bn_infer = P.BatchNorm(is_training=False, epsilon=self.eps, data_format=self.format)
-        self.enable_global_sync = self.is_global and (self.is_ge_backend or (self.is_graph_mode and self.is_ascend))
+        self.enable_global_sync = self.is_global and (self.is_ge_backend or\
+            (self.is_graph_mode and self._target == "Ascend"))
 
         data_parallel_strategy = ((1,), (1,))
         data_parallel_strategy_one = ((1,), ())