diff --git a/mindspore/ops/operations/control_ops.py b/mindspore/ops/operations/control_ops.py
index d4e8b279ba..30f1e25a34 100644
--- a/mindspore/ops/operations/control_ops.py
+++ b/mindspore/ops/operations/control_ops.py
@@ -50,7 +50,7 @@ class ControlDepend(Primitive):
         >>> # step should be increased, so the add operation should depend on the data calculation operation.
         >>> class Net(nn.Cell):
         >>>     def __init__(self):
-        >>>        super(Net, self).__init__()
+        >>>         super(Net, self).__init__()
         >>>         self.global_step = mindspore.Parameter(initializer(0, [1]), name="global_step")
         >>>         self.rate = 0.2
         >>>         self.control_depend = P.ControlDepend()
@@ -89,7 +89,7 @@ class GeSwitch(PrimitiveWithInfer):
     Examples:
         >>> class Net(nn.Cell):
         >>> 	def __init__(self):
-        >>>	    super(Net, self).__init__()
+        >>>         super(Net, self).__init__()
         >>>         self.square = P.Square()
         >>>         self.add = P.TensorAdd()
         >>>         self.value = Tensor(np.full((1), 3), mindspore.float32)
diff --git a/mindspore/ops/operations/other_ops.py b/mindspore/ops/operations/other_ops.py
index 4ac7f2e554..b6182f0476 100644
--- a/mindspore/ops/operations/other_ops.py
+++ b/mindspore/ops/operations/other_ops.py
@@ -39,7 +39,7 @@ class Assign(PrimitiveWithInfer):
         >>>         self.y = mindspore.Parameter(Tensor([1.0], mindspore.float32), name="y")
         >>>
         >>>     def construct(self, x):
-        >>>         Assign()(self.y, x)
+        >>>         P.Assign()(self.y, x)
         >>>         return x
         >>> x = Tensor([2.0], mindspore.float32)
         >>> net = Net()