!8062 fix bugs of op ScatterDiv and CropAndResize

Merge pull request !8062 from lihongkang/v2_master

mindspore/ops/operations/array_ops.py

@@ -3020,7 +3020,7 @@ class ScatterDiv(_ScatterOp):
     Examples:
         >>> input_x = Parameter(Tensor(np.array([[6.0, 6.0, 6.0], [2.0, 2.0, 2.0]]), mindspore.float32), name="x")
         >>> indices = Tensor(np.array([0, 1]), mindspore.int32)
-        >>> updates = Tensor(np.ones([[2.0, 2.0, 2.0], [2.0, 2.0, 2.0]]), mindspore.float32)
+        >>> updates = Tensor(np.array([[2.0, 2.0, 2.0], [2.0, 2.0, 2.0]]), mindspore.float32)
         >>> scatter_div = P.ScatterDiv()
         >>> output = scatter_div(input_x, indices, updates)
         [[3.0, 3.0, 3.0], [1.0, 1.0, 1.0]]

mindspore/ops/operations/image_ops.py

@@ -59,7 +59,7 @@ class CropAndResize(PrimitiveWithInfer):
         >>>         super(CropAndResizeNet, self).__init__()
         >>>         self.crop_and_resize = P.CropAndResize()
         >>>         self.crop_size = crop_size
-        >>>     @ms_function
+        >>>
         >>>     def construct(self, x, boxes, box_index):
         >>>         return self.crop_and_resize(x, boxes, box_index, self.crop_size)
         >>>
@@ -74,7 +74,8 @@ class CropAndResize(PrimitiveWithInfer):
         >>> crop_size = (24, 24)
         >>> crop_and_resize = CropAndResizeNet(crop_size=crop_size)
         >>> output = crop_and_resize(Tensor(image), Tensor(boxes), Tensor(box_index))
-        >>> print(output.asnumpy())
+        >>> output.shape
+        (5, 24, 24, 3)
     """
 
     @prim_attr_register