parameters: (self, *args, **kwargs)
return_statement: return self._mode(*args, **kwargs)
docstring: Evaluate the mode.
  
          Args:
              *args (list): the list of positional arguments forwarded to subclasses.
              **kwargs (dict): the dictionary of keyword arguments forwarded to subclasses.
  
          Note:
              A distribution can be optionally passed to the function by passing its *dist_spec_args* through
              *args* or *kwargs*.
  
          Output:
              Tensor, the mode of the distribution.
docstring_summary: Evaluate the mode.
docstring_tokens: Evaluate the mode .
function: def mode(self, *args, **kwargs):
          """
          Evaluate the mode.
  
          Args:
              *args (list): the list of positional arguments forwarded to subclasses.
              **kwargs (dict): the dictionary of keyword arguments forwarded to subclasses.
  
          Note:
              A distribution can be optionally passed to the function by passing its *dist_spec_args* through
              *args* or *kwargs*.
  
          Output:
              Tensor, the mode of the distribution.
          """
          return self._mode(*args, **kwargs)
function_tokens: def mode ( self , * args , * * kwargs ) : return self . _mode ( * args , * * kwargs )