code: def __init__(self, layers, size, bias):
      super().__init__()
      self.lstm_num_layers = layers
      self.lstm_modules = nn.ModuleList(
          [
              nn.LSTMCell(size, size, bias=bias)
              for _ in range(self.lstm_num_layers)
          ]
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from .None import register_nas_algo
  from .base import BaseNAS
  from ..space import BaseSpace
  from ..utils import AverageMeterGroup, replace_layer_choice, replace_input_choice, get_module_order, sort_replaced_module, PathSamplingInputChoice, PathSamplingLayerChoice
  from nni.nas.pytorch.fixed import apply_fixed_architecture
  from tqdm import tqdm
  from datetime import datetime
  import numpy
  from ....utils import get_logger
label_desc: Use image node_id 1 to create a new StackedLSTMCell object from inherited base classes: nn with example: obj = StackedLSTMCell(layers, size, bias)