code: def __init__(
      self,
      c: float,
      attack_idx: List[int],
      target_items: List[int],
      device="cuda" if torch.cuda.is_available() else "cpu",
  ):
      super(AttackLoss, self).__init__()
      self.c = c
      self.attack_idx = attack_idx
      self.device = device
      self.target_items = target_items
  
imports: import torch
  import torch.nn
  import torch.optim
  from tqdm.auto import tqdm
  from typing import List
  from sparse_layer import SparseNet
label_desc: Use image node_id 1 to create a new AttackLoss object from inherited base classes: nn with example: obj = AttackLoss(c, attack_idx, target_items, device)