(self, inputs, state, scope=None)
return output, output
Most basic RNN: output = new_state = act(W * input + U * state + B).
Most basic RNN: output = new_state = act(W * input + U * state + B).
Most basic RNN : output = new_state = act ( W * input + U * state + B ) .
def __call__(self, inputs, state, scope=None):
    """Most basic RNN: output = new_state = act(W * input + U * state + B)."""
    with vs.variable_scope(scope or "basic_rnn_cell"):
      output = self._activation(
          _linear([inputs, state], self._num_units, True, scope=scope))
    return output, output
def __call__ ( self , inputs , state , scope = None ) : with vs . variable_scope ( scope or "basic_rnn_cell" ) : output = self . _activation ( _linear ( [ inputs , state ] , self . _num_units , True , scope = scope ) ) return output , output