diff --git a/mindspore/_extends/parse/standard_method.py b/mindspore/_extends/parse/standard_method.py
index 000d411d18..03c940f1b9 100644
--- a/mindspore/_extends/parse/standard_method.py
+++ b/mindspore/_extends/parse/standard_method.py
@@ -18,7 +18,7 @@
 
 from dataclasses import dataclass
 
-from mindspore import Tensor
+from mindspore import Tensor, Parameter
 from mindspore import dtype as mstype
 
 from ..._checkparam import Validator as validator
@@ -361,10 +361,13 @@ def check_type_same(x_type, base_type):
         str: mstype.String,
         list: mstype.List,
         tuple: mstype.Tuple,
-        Tensor: mstype.tensor_type
+        Tensor: mstype.tensor_type,
+        Parameter: mstype.ref_type
     }
     try:
-        if isinstance(base_type, (tuple, list)):
+        if isinstance(base_type, list):
+            raise TypeError("The second arg of 'isinstance' must be a type or a tuple of types, but got a list")
+        if isinstance(base_type, tuple):
             target_type = tuple(pytype_to_mstype[i] for i in base_type)
         else:
             target_type = pytype_to_mstype[base_type]
diff --git a/mindspore/common/dtype.py b/mindspore/common/dtype.py
index 338ebb0227..e3b8e7ae76 100644
--- a/mindspore/common/dtype.py
+++ b/mindspore/common/dtype.py
@@ -111,6 +111,7 @@ none_type = typing.TypeNone
 env_type_type = typing.EnvType
 tensor_type = typing.TensorType
 anything_type = typing.TypeAnything
+ref_type = typing.RefType
 
 number_type = (int8,
                int16,
diff --git a/mindspore/ops/composite/multitype_ops/zeros_like_impl.py b/mindspore/ops/composite/multitype_ops/zeros_like_impl.py
index 067e0cd013..e72cdf2ad3 100644
--- a/mindspore/ops/composite/multitype_ops/zeros_like_impl.py
+++ b/mindspore/ops/composite/multitype_ops/zeros_like_impl.py
@@ -26,7 +26,7 @@ using ".register" decorator.
 
 
 @zeros_like_leaf.register("Number")
-def _zeros_like_scala(x):
+def _zeros_like_scalar(x):
     """Returns 0 which has the same dtype as x where x is a scalar."""
     return 0
 
diff --git a/tests/ut/python/pipeline/parse/test_isinstance.py b/tests/ut/python/pipeline/parse/test_isinstance.py
index beaca638b3..4507293bb0 100644
--- a/tests/ut/python/pipeline/parse/test_isinstance.py
+++ b/tests/ut/python/pipeline/parse/test_isinstance.py
@@ -17,7 +17,7 @@ import numpy as np
 import pytest
 
 import mindspore.nn as nn
-from mindspore import Tensor
+from mindspore import Tensor, Parameter
 from mindspore import context
 
 context.set_context(mode=context.GRAPH_MODE, save_graphs=True)
@@ -34,12 +34,14 @@ def test_isinstance():
             self.tensor_member = Tensor(np.arange(4))
             self.tuple_member = (1, 1.0, True, "abcd", self.tensor_member)
             self.list_member = list(self.tuple_member)
+            self.weight = Parameter(1.0)
 
         def construct(self, x, y):
             is_int = isinstance(self.int_member, int)
             is_float = isinstance(self.float_member, float)
             is_bool = isinstance(self.bool_member, bool)
             is_string = isinstance(self.string_member, str)
+            is_parameter = isinstance(self.weight, Parameter)
             is_tensor_const = isinstance(self.tensor_member, Tensor)
             is_tensor_var = isinstance(x, Tensor)
             is_tuple_const = isinstance(self.tuple_member, tuple)
@@ -52,7 +54,7 @@ def test_isinstance():
             bool_is_string = isinstance(self.bool_member, str)
             tensor_is_tuple = isinstance(x, tuple)
             tuple_is_list = isinstance(self.tuple_member, list)
-            return is_int, is_float, is_bool, is_string, is_tensor_const, is_tensor_var, \
+            return is_int, is_float, is_bool, is_string, is_parameter, is_tensor_const, is_tensor_var, \
                    is_tuple_const, is_tuple_var, is_list_const, is_list_var, \
                    is_int_or_float_or_tensor_or_tuple, is_list_or_tensor, \
                    float_is_int, bool_is_string, tensor_is_tuple, tuple_is_list
@@ -60,7 +62,7 @@ def test_isinstance():
     net = Net()
     x = Tensor(np.arange(4))
     y = Tensor(np.arange(5))
-    assert net(x, y) == (True,) * 12 + (False,) * 4
+    assert net(x, y) == (True,) * 13 + (False,) * 4
 
 
 def test_isinstance_not_supported():
@@ -76,3 +78,18 @@ def test_isinstance_not_supported():
     with pytest.raises(TypeError) as err:
         net()
     assert "The type 'None' is not supported for 'isinstance'" in str(err.value)
+
+
+def test_isinstance_second_arg_is_list():
+    class Net(nn.Cell):
+        def __init__(self):
+            super(Net, self).__init__()
+            self.value = (11, 22, 33, 44)
+
+        def construct(self):
+            return isinstance(self.value, [tuple, int, float])
+
+    net = Net()
+    with pytest.raises(TypeError) as err:
+        net()
+    assert "The second arg of 'isinstance' must be a type or a tuple of types, but got a list" in str(err.value)