diff --git a/paddle/phi/api/yaml/legacy_api.yaml b/paddle/phi/api/yaml/legacy_api.yaml
index ebbe497e8d5055c64dffff02978e8af59719c26d..d06d87ecf8f959499203e28ada3399bf85f3af02 100755
--- a/paddle/phi/api/yaml/legacy_api.yaml
+++ b/paddle/phi/api/yaml/legacy_api.yaml
@@ -2560,7 +2560,7 @@
   backward : swish_grad
 
 # sync_batch_norm
-- api : sync_batch_norm
+- api : sync_batch_norm_
   args : (Tensor x, Tensor scale, Tensor bias, Tensor mean, Tensor variance, float momentum, float epsilon, str data_layout, bool is_test, bool use_global_stats, bool trainable_statistics, bool fuse_with_relu)
   output : Tensor(out), Tensor(mean_out), Tensor(variance_out), Tensor(saved_mean), Tensor(saved_variance), Tensor(reserve_space)
   infer_meta :
@@ -2569,6 +2569,7 @@
     func : sync_batch_norm
     data_type : x
   backward : sync_batch_norm_grad
+  inplace : (mean -> mean_out), (variance -> variance_out)
 
 # take_along_axis
 - api : take_along_axis
diff --git a/python/paddle/nn/layer/norm.py b/python/paddle/nn/layer/norm.py
index d637c6dff8d218429f4c47c6537f78c83ad10bcc..ac65aab07a56c4cd4e0f6592d2dd3f3bc87f759b 100644
--- a/python/paddle/nn/layer/norm.py
+++ b/python/paddle/nn/layer/norm.py
@@ -1110,7 +1110,7 @@ class SyncBatchNorm(_BatchNormBase):
         ### train mode: use mini-batch stats, eval mode: use global stats
         ### use_global_stats only support False in sync_batch_norm
         if in_dygraph_mode():
-            sync_batch_norm_out, _, _, _, _, _ = _C_ops.final_state_sync_batch_norm(
+            sync_batch_norm_out, _, _, _, _, _ = _C_ops.final_state_sync_batch_norm_(
                 x, self.weight, self.bias, self._mean, self._variance,
                 self._momentum, self._epsilon, self._data_format,
                 not self.training, False, False, False)