diff --git a/mindspore/core/ir/dtype_py.cc b/mindspore/core/ir/dtype_py.cc
index 66bd8ba5f6f..b1e2151b6dd 100644
--- a/mindspore/core/ir/dtype_py.cc
+++ b/mindspore/core/ir/dtype_py.cc
@@ -36,8 +36,12 @@ REGISTER_PYBIND_DEFINE(
     (void)m_sub.def("str_to_type", &StringToType, "string to typeptr");
     (void)py::class_<Type, std::shared_ptr<Type>>(m_sub, "Type")
       .def_readonly(PYTHON_DTYPE_FLAG, &mindspore::Type::parse_info_)
-      .def("__eq__",
-           [](const TypePtr &t1, const TypePtr &t2) {
+     .def("__eq__",
+           [](const TypePtr &t1, const py::object &other) {
+             if (!py::isinstance<Type>(other)) {
+               return false;
+             }
+             auto t2 = py::cast<TypePtr>(other);
              if (t1 != nullptr && t2 != nullptr) {
                return *t1 == *t2;
              }
diff --git a/tests/ut/python/ir/test_dtype.py b/tests/ut/python/ir/test_dtype.py
index 1523a77ea39..49f834092e0 100644
--- a/tests/ut/python/ir/test_dtype.py
+++ b/tests/ut/python/ir/test_dtype.py
@@ -134,3 +134,11 @@ def test_dtype():
     with pytest.raises(NotImplementedError):
         x = 1.5
         dtype.get_py_obj_dtype(type(type(x)))
+
+
+def test_type_equal():
+    t1 = (dtype.int32, dtype.int32)
+    valid_types = [dtype.float16, dtype.float32]
+    assert t1 not in valid_types
+    assert dtype.int32 not in valid_types
+    assert dtype.float32 in valid_types
diff --git a/tests/ut/python/ops/test_tensor_slice.py b/tests/ut/python/ops/test_tensor_slice.py
index 66590945da7..ec8b9957a22 100644
--- a/tests/ut/python/ops/test_tensor_slice.py
+++ b/tests/ut/python/ops/test_tensor_slice.py
@@ -971,7 +971,7 @@ raise_error_set = [
                         Tensor(np.random.randint(7, size=(3, 4, 5)), mstype.int32)],
     }),
     ('TensorGetItemByMixedTensorsTypeError', {
-        'block': (TensorGetItemByMixedTensorsTypeError(), {'exception': TypeError}),
+        'block': (TensorGetItemByMixedTensorsTypeError(), {'exception': IndexError}),
         'desc_inputs': [Tensor(np.arange(3 * 4 * 5 * 6 * 7 * 8 * 9).reshape((3, 4, 5, 6, 7, 8, 9)), mstype.int32),
                         Tensor(np.random.randint(3, size=(3, 4, 5)), mstype.int32),
                         Tensor(np.random.randint(4, size=(3, 4, 5)), mstype.int32)],