ops doc bugfix

docs/api/api_python_en/mindspore.ops.functional.rst

@@ -140,6 +140,7 @@ Element-by-Element Operations
     mindspore.ops.invert
     mindspore.ops.lerp
     mindspore.ops.log
+    mindspore.ops.log1p
     mindspore.ops.logical_and
     mindspore.ops.logical_not
     mindspore.ops.logical_or
@@ -344,6 +345,7 @@ Array Operation
     mindspore.ops.gather_d
     mindspore.ops.gather_elements
     mindspore.ops.gather_nd
+    mindspore.ops.gumbel_softmax
     mindspore.ops.index_fill
     mindspore.ops.intopk
     mindspore.ops.masked_fill
@@ -367,6 +369,7 @@ Array Operation
     mindspore.ops.space_to_batch_nd
     mindspore.ops.sparse_segment_mean
     mindspore.ops.split
+    mindspore.ops.stack
     mindspore.ops.tensor_scatter_add
     mindspore.ops.tensor_scatter_min
     mindspore.ops.tensor_scatter_max
@@ -382,8 +385,8 @@ Array Operation
     mindspore.ops.unique
     mindspore.ops.unique_consecutive
     mindspore.ops.unique_with_pad
-    mindspore.ops.gumbel_softmax
     mindspore.ops.unsorted_segment_sum
+    mindspore.ops.unstack
 
 .. list-table::
    :widths: 50 50
@@ -403,8 +406,6 @@ Array Operation
      - Refer to :class:`mindspore.ops.Sort`.
    * - mindspore.ops.squeeze
      - Refer to :class:`mindspore.ops.Squeeze`.
-   * - mindspore.ops.stack
-     - Refer to :class:`mindspore.ops.Stack`.
    * - mindspore.ops.strided_slice
      - Refer to :class:`mindspore.ops.StridedSlice`.
    * - mindspore.ops.tensor_scatter_update

mindspore/python/mindspore/common/tensor.py

@@ -686,6 +686,8 @@ class Tensor(Tensor_):
         r"""
         Returns arctangent of x/y element-wise.
 
+        `x` refer to self tensor.
+
         It returns :math:`\theta\ \in\ [-\pi, \pi]`
         such that :math:`x = r*\sin(\theta), y = r*\cos(\theta)`, where :math:`r = \sqrt{x^2 + y^2}`.
 
@@ -694,8 +696,6 @@ class Tensor(Tensor_):
         the relatively highest precision data type.
 
         Args:
-            x (Tensor): The input tensor.
-                :math:`(N,*)` where :math:`*` means, any number of additional dimensions.
             y (Tensor): The input tensor. It has the same shape with `x`.
 
         Returns:
@@ -1321,14 +1321,11 @@ class Tensor(Tensor_):
         r"""
         Returns the natural logarithm of one plus the input tensor element-wise.
 
+        `x` refer to self tensor.
+
         .. math::
             out_i = {log_e}(x_i + 1)
 
-        Args:
-            - **x** (Tensor) - The input tensor. With float16 or float32 data type.
-              The value must be greater than -1.
-              :math:`(N,*)` where :math:`*` means, any number of additional dimensions, its rank should be less than 8.
-
         Returns:
             Tensor, has the same shape as the `x`.