code: def __init__(self, input_size, hidden_size, dropout=0.0):
      super(ResLSTMLayer, self).__init__()
      self.input_size = input_size
      self.hidden_size = hidden_size
      self.cell = ResLSTMCell(input_size, hidden_size, dropout=0.0)
  
imports: from typing import List, Optional
  import torch
  import torch.nn
  from ..losses.pytorch import MAE
  from ..common._base_recurrent import BaseRecurrent
  from ..common._modules import MLP
label_desc: Use image node_id 1 to create a new ResLSTMLayer object from inherited base classes: nn with example: obj = ResLSTMLayer(input_size, hidden_size, dropout)