@@ -198,8 +198,8 @@ def logical_xor(x, y, out=None, name=None):
.. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
Args:
x (Tensor): the input tensor, it's data type should be one of bool, int8, int16, in32, in64, float16, float32, float64.
y (Tensor): the input tensor, it's data type should be one of bool, int8, int16, in32, in64, float16, float32, float64.
x (Tensor): the input tensor, it's data type should be one of bool, int8, int16, int32, int64, float16, float32, float64.
y (Tensor): the input tensor, it's data type should be one of bool, int8, int16, int32, int64, float16, float32, float64.
out(Tensor): The ``Tensor`` that specifies the output of the operator, which can be any ``Tensor`` that has been created in the program. The default value is None, and a new ``Tensor`` will be created to save the output.
name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
