class_docstr: Object that holds dropout-related functionality for RNN cells.
  
  This class is not a standalone RNN cell. It suppose to be used with a RNN
  cell by multiple inheritance. Any cell that mix with class should have
  following fields:
  
  - `dropout`: a float number in the range `[0, 1]`.
      Dropout rate for the input tensor.
  - `recurrent_dropout`: a float number in the range `[0, 1]`.
      Dropout rate for the recurrent connections.
  - `seed_generator`, an instance of `backend.random.SeedGenerator`.
  
  This object will create and cache dropout masks, and reuse them for
  all incoming steps, so that the same mask is used for every step.
code: def reset_recurrent_dropout_mask(self):
      self._recurrent_dropout_mask = None
  
imports: from keras import backend
  from keras import ops
label_desc: Use image node_id 4 for calling the DropoutRNNCell obj's underlying member method code with example usage: obj.reset_recurrent_dropout_mask() without return types