!37346 [MS][DOC] fix bug of doc

Merge pull request !37346 from mengyuanli/code_docs_bug_fix

docs/api/api_python/ops/mindspore.ops.func_interpolate.rst

@@ -13,7 +13,7 @@ mindspore.ops.interpolate
 
     **参数：**
 
-    - **x** (Tensor) - 输入，3到5维的Tensor。
+    - **x** (Tensor) - 输入，3维或者4维的Tensor。
     - **roi** (tuple[float]， 可选) -  在 `crop_and_resize` 坐标变换模式下生效，当前不支持。
     - **scales** (tuple[float]， 可选) - 输入shape每个维度resize的系数。 `scales` 的长度跟 `x` 的shape长度相同。 `scales` 和 `size` 同时只能指定一个。
     - **sizes** (tuple[int]， 可选) - 输入shape指定轴的新维度。 `scales` 和 `size` 同时只能指定一个。当 `mode` 是"linear"时, `size` 为1个int元素 :math:`(new\_width,)` 的tuple。当 `mode` 是"bilinear"时, `size` 为2个int元素 :math:`(new\_height, new\_width)` 的tuple。

mindspore/python/mindspore/ops/function/array_func.py

@@ -2379,6 +2379,7 @@ def tensor_scatter_elements(input_x, indices, updates, axis=0, reduction="none")
     value according to the indices.
 
     For a 3-D tensor, the output is:
+
     .. code-block::
 
         output[indices[i][j][k]][j][k] = updates[i][j][k]  # if axis == 0, reduction == "none"
@@ -2406,7 +2407,7 @@ def tensor_scatter_elements(input_x, indices, updates, axis=0, reduction="none")
         axis (int): Which axis to scatter, default is 0. Accepted range is [-r, r) where r = rank(input_x).
         reduction (string): Which reduction operation to scatter, default is "none". Other option: "add".
 
-    Outputs:
+    Returns:
         Tensor, has the same shape and type as `input_x`.
 
     Raises:

mindspore/python/mindspore/ops/function/nn_func.py

@@ -619,7 +619,7 @@ def interpolate(x, roi=None, scales=None, sizes=None, coordinate_transformation_
           when mode is "bilinear".
 
     Args:
-        x (Tensor): a 3-D, 4-D or 5-D tensor which to resize.
+        x (Tensor): a 3-D or 4-D tensor which to resize.
         roi (tuple[float], optional): a tuple of float. Only takes effect when attr coordinate_transformation_mode is
             'crop_and_resize'.
         scales (tuple[float], optional): a tuple of float. Describe the scale along each dimension. Its length is the