modify the docs

python/paddle/tensor/logic.py

@@ -116,8 +116,8 @@ def logical_and(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, in32, in64, float16, float32, float64, complex64, complex128.
+        y (Tensor): the input tensor, it's data type should be one of bool, int8, int16, in32, in64, float16, float32, float64, complex64, complex128.
         out(Tensor, optional): 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`.
 
@@ -158,8 +158,8 @@ def logical_or(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, in32, in64, float16, float32, float64, complex64, complex128.
+        y (Tensor): the input tensor, it's data type should be one of bool, int8, int16, in32, in64, float16, float32, float64, complex64, complex128.
         out(Tensor): The ``Variable`` 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`.
 
@@ -202,8 +202,8 @@ 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, 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.
+        x (Tensor): the input tensor, it's data type should be one of bool, int8, int16, int32, int64, float16, float32, float64, complex64, complex128.
+        y (Tensor): the input tensor, it's data type should be one of bool, int8, int16, int32, int64, float16, float32, float64, complex64, complex128.
         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`.
 
@@ -247,7 +247,7 @@ def logical_not(x, out=None, name=None):
         .. _Introduction to Tensor: ../../guides/beginner/tensor_en.html#chapter5-broadcasting-of-tensor
 
     Args:
-        x(Tensor):  Operand of logical_not operator. Must be a Tensor of type bool, int8, int16, in32, in64, float16, float32, or float64.
+        x(Tensor):  Operand of logical_not operator. Must be a Tensor of type bool, int8, int16, in32, in64, float16, float32, or float64, complex64, complex128.
         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|None): The default value is None. Normally there is no need for users to set this property. For more information, please refer to :ref:`api_guide_Name`.