class_docstr: Abstract base class for all attack classes.
  
  :param predict: forward pass function.
  :param loss_fn: loss function that takes .
  :param clip_min: mininum value per input dimension.
  :param clip_max: maximum value per input dimension.
docstr: Create an Attack instance.
code: def __init__(self, predict, loss_fn, clip_min, clip_max):
      """Create an Attack instance."""
      self.predict = predict
      self.loss_fn = loss_fn
      self.clip_min = clip_min
      self.clip_max = clip_max
  
file_path: advertorch/advertorch/attacks/base.py
imports: from abc import ABCMeta
  import torch
  from advertorch.utils import replicate_input
label_desc: Use image node_id 1 to create a new Attack object from inherited base classes: object with example: obj = Attack(predict, loss_fn, clip_min, clip_max)