code: def __init__(
      self,
      layers_num,
      trainable=True,
      input_aware=False,
      word_level=False,
  ):
      super(LinearCombine, self).__init__()
      self.input_aware = input_aware
      self.word_level = word_level
  
      if input_aware:
          raise NotImplementedError("Input aware is not supported.")
      self.w = nn.Parameter(
          torch.full((layers_num, 1, 1, 1), 1.0 / layers_num),
          requires_grad=trainable,
      )
  
imports: import torch
  import torch.nn.functional
  from torch import nn
  from utils import get_length, INF
label_desc: Use image node_id 1 to create a new LinearCombine object from inherited base classes: nn with example: obj = LinearCombine(layers_num, trainable, input_aware, word_level)