code: def add_args(parser):
      # fmt: off
          parser.add_argument('--eps', type=float, default=1e-5,
                              help='noise eps')
          parser.add_argument('--r3f-lambda', type=float, default=1.0,
                              help='lambda for combining logistic loss and noisy KL loss')
          parser.add_argument('--noise-type', type=str, default='uniform',
                              choices=['normal', 'uniform'],
                              help='type of noises for RXF methods')
          parser.add_argument('--classification-head-name',
                              default='sentence_classification_head',
                              help='name of the classification head to use')
          parser.add_argument('--regression-target', action='store_true')
  
file_path: fairseq/examples/rxf/rxf_src/sentence_prediction_r3f.py
imports: import math
  import torch
  import torch.nn.functional
  from fairseq import utils
  from fairseq.criterions import FairseqCriterion, register_criterion
label_desc: Use image node_id 2 for calling the SentencePredictionR3F obj's underlying member method code with example usage: obj.add_args(parser) without return types