add support for bitwise_xor

Author: Manfredss

python/paddle/tensor/logic.py

@@ -1209,6 +1209,7 @@ def bitwise_or_(x: Tensor, y: Tensor, name: str | None = None) -> Tensor:
         return _C_ops.bitwise_or_(x, y)
 
 
+@param_two_alias(["x", "input"], ["y", "other"])
 def bitwise_xor(
     x: Tensor, y: Tensor, out: Tensor | None = None, name: str | None = None
 ) -> Tensor:
@@ -1224,9 +1225,15 @@ def bitwise_xor(
 
         .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
 
+    .. note::
+        Alias Support: The parameter name ``input`` can be used as an alias for ``x``, and ``other`` can be used as an alias for ``y``.
+        For example, ``bitwise_xor(input=tensor_x, other=tensor_y, ...)`` is equivalent to ``bitwise_xor(x=tensor_x, y=tensor_y, ...)``.
+
     Args:
         x (Tensor): Input Tensor of ``bitwise_xor`` . It is a N-D Tensor of bool, uint8, int8, int16, int32, int64.
+            alias: ``input``.
         y (Tensor): Input Tensor of ``bitwise_xor`` . It is a N-D Tensor of bool, uint8, int8, int16, int32, int64.
+            alias: ``other``.
         out (Tensor|None, optional): Result of ``bitwise_xor`` . It is a N-D Tensor with the same data type of input Tensor. Default: None.
         name (str|None, optional): The default value is None.  Normally there is no need for
             user to set this property.  For more information, please refer to :ref:`api_guide_Name`.