diff --git a/model_zoo/official/cv/resnet_thor/src/thor.py b/model_zoo/official/cv/resnet_thor/src/thor.py
index d5118386d3a2cf210e62c345ea8a25761f1fdabf..96caeeaf55f55e3d8d2e2a14a4aebab40dc8917c 100644
--- a/model_zoo/official/cv/resnet_thor/src/thor.py
+++ b/model_zoo/official/cv/resnet_thor/src/thor.py
@@ -22,7 +22,7 @@ import mindspore.common.dtype as mstype
 from mindspore._checkparam import check_bool
 from mindspore._checkparam import Validator as validator
 from mindspore.nn.optim.optimizer import Optimizer
-from mindspore.parallel._utils import _get_device_num, _get_mirror_mean
+from mindspore.parallel._utils import _get_device_num, _get_gradients_mean
 from src.grad_reducer_thor import DistributedGradReducerThor
 
 _momentum_opt = C.MultitypeFuncGraph("momentum_opt")
@@ -85,7 +85,7 @@ class THOR_GPU(Optimizer):
         self.assign = P.Assign()
         self.mul = P.Mul()
 
-        mean = _get_mirror_mean()
+        mean = _get_gradients_mean()
         degree = _get_device_num()
 
         parameter_length = len(self.feature_map)
@@ -193,7 +193,7 @@ class THOR(Optimizer):
                             1.0 / 196, 1.0 / 196, 1.0 / 196,
                             1.0 / 49, 1.0 / 49, 1.0 / 49, 1.0 / 49, 1.0 / 49, 1.0 / 49, 1.0 / 49, 1.0 / 49, 1.0 / 49,
                             1.0]
-        mean = _get_mirror_mean()
+        mean = _get_gradients_mean()
         degree = _get_device_num()
         parameter_length = len(self.feature_map)
         self.grad_reducer_Amax = DistributedGradReducerThor(parameter_length, ((27,), 2), mean, degree)