docstr: Set the number of parameters updates.
docstr_tok: ["Set","the","number","of","parameters","updates","."]
code: def set_num_updates(self, num_updates):
      """Set the number of parameters updates."""
      super().set_num_updates(num_updates)
      self.num_updates = num_updates
  
imports: import contextlib
  import logging
  import re
  from dataclasses import dataclass, field
  from typing import Any, Optional
  import torch
  import torch.nn
  import torch.nn.functional
  import numpy
  from omegaconf import II, MISSING, open_dict
  from fairseq import checkpoint_utils, tasks
  from fairseq.dataclass import FairseqDataclass
  from fairseq.dataclass.utils import convert_namespace_to_omegaconf
  from fairseq.models import BaseFairseqModel, register_model
  from fairseq.models.wav2vec.wav2vec2 import MASKING_DISTRIBUTION_CHOICES
  from fairseq.modules import TransposeLast
  from fairseq.tasks import FairseqTask
label_desc: Use image node_id 5 for calling the AudioClassificationModel obj's underlying member method code with example usage: obj.set_num_updates(num_updates) without return types