API doc(en) Bugs fix in 第四期体验评估 (#44749)

* fix docs(en) bugs;test=document_fix

* update paddle.add docs;test=document_fix

* update paddle.where docs;test=document_fix

* for ci;test=document_fix

* Update manipulation.py

* update paddle.where;test=document_fix
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

python/paddle/tensor/manipulation.py

@@ -3082,7 +3082,7 @@ def expand(x, shape, name=None):
 
     Expand the input tensor to a given shape.
 
-    Both the number of dimensions of ``x`` and the number of elements in ``shape`` should be less than or equal to 6. The dimension to expand must have a value 1.
+    Both the number of dimensions of ``x`` and the number of elements in ``shape`` should be less than or equal to 6. And the number of dimensions of ``x`` should be less than the number of elements in ``shape``. The dimension to expand must have a value 1.
 
 
     Args:

python/paddle/tensor/math.py

@@ -493,6 +493,45 @@ def _elementwise_op(helper):
 
 def add(x, y, name=None):
     """
+    Elementwise Add Operator.
+    Add two tensors element-wise
+    The equation is:
+
+    ..  math::
+
+        Out=X+Y
+
+        X : a tensor of any dimension.
+        Y: a tensor whose dimensions must be less than or equal to the dimensions of X.
+
+    There are two cases for this operator:
+    1. The shape of Y is the same with X.
+    2. The shape of Y is a continuous subsequence of X.
+    For case 2:
+    1. Broadcast Y to match the shape of X, where axis is the start dimension index for broadcasting Y onto X.
+    2. If axis is -1 (default), axis=rank(X)−rank(Y).
+    3. The trailing dimensions of size 1 for Y will be ignored for the consideration of subsequence, such as shape(Y) = (2, 1) => (2).
+
+        For example:
+
+        ..  code-block:: python
+
+            shape(X) = (2, 3, 4, 5), shape(Y) = (,)
+            shape(X) = (2, 3, 4, 5), shape(Y) = (5,)
+            shape(X) = (2, 3, 4, 5), shape(Y) = (4, 5), with axis=-1(default) or axis=2
+            shape(X) = (2, 3, 4, 5), shape(Y) = (3, 4), with axis=1
+            shape(X) = (2, 3, 4, 5), shape(Y) = (2), with axis=0
+            shape(X) = (2, 3, 4, 5), shape(Y) = (2, 1), with axis=0
+
+    Args:
+        x (Tensor) – (Variable), Tensor or LoDTensor of any dimensions. Its dtype should be int32, int64, float32, float64.
+        y (Tensor) – (Variable), Tensor or LoDTensor of any dimensions. Its dtype should be int32, int64, float32, float64.
+        with_quant_attr (BOOLEAN) – Whether the operator has attributes used by quantization.
+        name (string, optional) – Name of the output. Default is None. It’s used to print debug info for developers. Details: :ref:`api_guide_Name`
+
+    Returns:
+        N-dimension tensor. A location into which the result is stored. It’s dimension equals with x
+
     Examples:
 
         ..  code-block:: python
@@ -503,7 +542,6 @@ def add(x, y, name=None):
             y = paddle.to_tensor([1, 5, 2], 'float64')
             z = paddle.add(x, y)
             print(z)  # [3., 8., 6. ]
-
     """
 
     if in_dygraph_mode():

python/paddle/tensor/search.py

-#   Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#   Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -589,15 +589,15 @@ def where(condition, x=None, y=None, name=None):
         Tensor: A Tensor with the same shape as :attr:`condition` and same data type as :attr:`x` and :attr:`y`.
 
     Examples:
+        
         .. code-block:: python
-            :name:where-example
 
             import paddle
             
             x = paddle.to_tensor([0.9383, 0.1983, 3.2, 1.2])
             y = paddle.to_tensor([1.0, 1.0, 1.0, 1.0])
-            out = paddle.where(x>1, x, y)
             
+            out = paddle.where(x>1, x, y)
             print(out)
             #out: [1.0, 1.0, 3.2, 1.2]
             

python/paddle/tensor/stat.py

@@ -217,6 +217,8 @@ def numel(x, name=None):
 
     Args:
         x (Tensor): The input Tensor, it's data type can be bool, float16, float32, float64, int32, int64.
+        name (str, optional): Name for the operation (optional, default is None).
+            For more information, please refer to :ref:`api_guide_Name`.
 
     Returns:
         Tensor: The number of elements for the input Tensor.