diff --git a/model_zoo/official/cv/resnet_thor/src/thor.py b/model_zoo/official/cv/resnet_thor/src/thor.py
index 96caeeaf55..db5a794c36 100644
--- a/model_zoo/official/cv/resnet_thor/src/thor.py
+++ b/model_zoo/official/cv/resnet_thor/src/thor.py
@@ -14,7 +14,6 @@
 # ============================================================================
 """THOR"""
 from mindspore.ops import functional as F, composite as C, operations as P
-from mindspore.ops import _selected_ops
 from mindspore.common.initializer import initializer
 from mindspore.common.parameter import Parameter, ParameterTuple
 from mindspore.common.tensor import Tensor
@@ -62,7 +61,7 @@ class THOR_GPU(Optimizer):
         self.use_nesterov = check_bool(use_nesterov)
         self.moments = self.params.clone(prefix="moments", init='zeros')
         self.hyper_map = C.HyperMap()
-        self.opt = _selected_ops.ApplyMomentum(use_nesterov=self.use_nesterov)
+        self.opt = P.ApplyMomentum(use_nesterov=self.use_nesterov)
 
         self.feature_map = [1.0 / 12544, 1.0 / 3136, 1.0 / 3136, 1.0 / 3136, 1.0 / 3136, 1.0 / 3136, 1.0 / 3136,
                             1.0 / 3136, 1.0 / 3136, 1.0 / 3136, 1.0 / 3136, 1.0 / 3136,
diff --git a/model_zoo/official/nlp/bert/src/bert_for_pre_training.py b/model_zoo/official/nlp/bert/src/bert_for_pre_training.py
index 65070cc8c1..19d4197055 100644
--- a/model_zoo/official/nlp/bert/src/bert_for_pre_training.py
+++ b/model_zoo/official/nlp/bert/src/bert_for_pre_training.py
@@ -27,7 +27,6 @@ from mindspore.nn.wrap.grad_reducer import DistributedGradReducer
 from mindspore.context import ParallelMode
 from mindspore.communication.management import get_group_size
 from mindspore import context
-from mindspore.ops import _selected_ops
 from .bert_model import BertModel
 from .utils import ClipByGlobalNorm
 
@@ -132,7 +131,7 @@ class GetNextSentenceOutput(nn.Cell):
     """
     def __init__(self, config):
         super(GetNextSentenceOutput, self).__init__()
-        self.log_softmax = _selected_ops.LogSoftmax()
+        self.log_softmax = P.LogSoftmax()
         weight_init = TruncatedNormal(config.initializer_range)
         self.dense = nn.Dense(config.hidden_size, 2,
                               weight_init=weight_init, has_bias=True).to_float(config.compute_type)
diff --git a/model_zoo/official/nlp/bert_thor/src/bert_for_pre_training.py b/model_zoo/official/nlp/bert_thor/src/bert_for_pre_training.py
index 303b04937f..2f9a2d61d6 100644
--- a/model_zoo/official/nlp/bert_thor/src/bert_for_pre_training.py
+++ b/model_zoo/official/nlp/bert_thor/src/bert_for_pre_training.py
@@ -23,7 +23,6 @@ from mindspore.common.parameter import Parameter
 from mindspore.common.tensor import Tensor
 from mindspore.communication.management import get_group_size
 from mindspore.nn.wrap.grad_reducer import DistributedGradReducer
-from mindspore.ops import _selected_ops
 from mindspore.ops import composite as C
 from mindspore.ops import functional as F
 from mindspore.ops import operations as P
@@ -147,7 +146,7 @@ class GetNextSentenceOutput(nn.Cell):
 
     def __init__(self, config):
         super(GetNextSentenceOutput, self).__init__()
-        self.log_softmax = _selected_ops.LogSoftmax()
+        self.log_softmax = P.LogSoftmax()
         weight_init = TruncatedNormal(config.initializer_range)
         self.dense = nn.Dense(config.hidden_size, 2,
                               weight_init=weight_init, has_bias=True).to_float(config.compute_type)