code: def __init__(self, kernal_size, pre_mask, post_mask):
      super(MaxPool, self).__init__()
      self.max_pool = nn.MaxPool1d(
          kernal_size, 1, padding=(kernal_size - 1) // 2
      )
      self.pre_mask = pre_mask
      self.post_mask = post_mask
      self.mask_opt = Mask()
  
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 MaxPool object from inherited base classes: nn with example: obj = MaxPool(kernal_size, pre_mask, post_mask)