parameters: (self, name="mode")
docstring: Mode of the distribution.
  
      1 if p > 1-p. 0 otherwise.
  
      Args:
        name: Name for the op.
  
      Returns:
        mode: binary `Tensor` of type self.dtype.
docstring_summary: Mode of the distribution.
docstring_tokens: Mode of the distribution .
function: def mode(self, name="mode"):
      """Mode of the distribution.
  
      1 if p > 1-p. 0 otherwise.
  
      Args:
        name: Name for the op.
  
      Returns:
        mode: binary `Tensor` of type self.dtype.
      """
      with ops.name_scope(self.name):
        with ops.op_scope([self.p, self.q], name):
          return math_ops.cast(self.p > self.q, self.dtype)
function_tokens: def mode ( self , name = "mode" ) : with ops . name_scope ( self . name ) : with ops . op_scope ( [ self . p , self . q ] , name ) : return math_ops . cast ( self . p > self . q , self . dtype )