diff --git a/mindspore/ops/operations/math_ops.py b/mindspore/ops/operations/math_ops.py
index 78d813b9cc..33351a3ca1 100644
--- a/mindspore/ops/operations/math_ops.py
+++ b/mindspore/ops/operations/math_ops.py
@@ -773,8 +773,8 @@ class Mul(_MathBinaryOp):
         Tensor, the shape is same as the shape after broadcasting, and the data type is same as 'input_x'.
 
     Examples:
-        >>> input_x = Tensor(np.array([1, 2, 3]), mindspore.int32)
-        >>> input_y = Tensor(np.array([4, 5, 6]), mindspore.int32)
+        >>> input_x = Tensor(np.array([1.0, 2.0, 3.0]), mindspore.float32)
+        >>> input_y = Tensor(np.array([4.0, 5.0, 6.0]), mindspore.float32)
         >>> mul = P.Mul()
         >>> mul(input_x, input_y)
         [4, 10, 18]
diff --git a/mindspore/ops/operations/other_ops.py b/mindspore/ops/operations/other_ops.py
index 2ece6b7088..003395e9d9 100644
--- a/mindspore/ops/operations/other_ops.py
+++ b/mindspore/ops/operations/other_ops.py
@@ -209,8 +209,8 @@ class IOU(PrimitiveWithInfer):
 
     Examples:
         >>> iou = P.IOU()
-        >>> anchor_boxes = Tensor(np.random.randint(1,5, [10, 4]))
-        >>> gt_boxes = Tensor(np.random.randint(1,5, [3, 4]))
+        >>> anchor_boxes = Tensor(np.random.randint(1.0, 5.0, [3, 4]), mindspore.float32)
+        >>> gt_boxes = Tensor(np.random.randint(1.0, 5.0, [3, 4]), mindspore.float32)
         >>> iou(anchor_boxes, gt_boxes)
     """