diff --git a/mindspore/ops/operations/array_ops.py b/mindspore/ops/operations/array_ops.py
index d09be041c1..83adb3e2b9 100644
--- a/mindspore/ops/operations/array_ops.py
+++ b/mindspore/ops/operations/array_ops.py
@@ -3167,7 +3167,7 @@ class ScatterUpdate(_ScatterOp_Dynamic):
     Inputs:
         - **input_x** (Parameter) - The target tensor, with data type of Parameter.
         - **indices** (Tensor) - The index of input tensor. With int32 data type.
-            If there are duplicates in indices, the order for updating is undefined.
+          If there are duplicates in indices, the order for updating is undefined.
         - **updates** (Tensor) - The tensor to update the input tensor, has the same type as input,
           and updates.shape = indices.shape + input_x.shape[1:].
 
diff --git a/mindspore/ops/operations/math_ops.py b/mindspore/ops/operations/math_ops.py
index 0dcb49c84e..726b67df6b 100644
--- a/mindspore/ops/operations/math_ops.py
+++ b/mindspore/ops/operations/math_ops.py
@@ -3376,9 +3376,9 @@ class NMSWithMask(PrimitiveWithInfer):
         >>> inputs = Tensor(bbox, mindspore.float32)
         >>> nms = ops.NMSWithMask(0.5)
         >>> output_boxes, indices, mask = nms(inputs)
-        >>> print(output_boxes)
-        [[0.39990234 0.19995117 0.7998047  0.5        0.09997559]
-         [0.39990234 0.30004883 1.         1.0996094  0.7001953 ]]
+        >>> indices_np = indices.asnumpy()
+        >>> print(indices_np[mask.asnumpy()])
+        [0 1]
     """
 
     @prim_attr_register