class_docstr: Base class for `neural (or range) augmentation <https://arxiv.org/abs/2212.10553>`_
class_docstr_tok: ["Base","class","for","`","neural","(","or","range",")","augmentation","<","https",":","\/\/arxiv.org\/abs\/2212.10553",">","`","_"]
code: def _build_aug_fns(self, opts) -> List:
      raise NotImplementedError
  
imports: import argparse
  import random
  from typing import List, Optional
  import torch
  from torch import Tensor, nn
  from cvnets.misc.common import parameter_list
  from cvnets.neural_augmentor.utils.neural_aug_utils import Clip, FixedSampler, UniformSampler, random_brightness, random_contrast, random_noise
  from utils import logger
label_desc: Use image node_id 6 for calling the BaseNeuralAugmentor obj's underlying member method code with example usage: obj._build_aug_fns(opts) without return types