code: def apply_dropout(self, src_tokens, dur_src, f0_src):
      src_tokens, unit_mask = self.apply_seg_dropout(
          src_tokens,
          self.cfg.mask_unit_seg_prob,
          self.cfg.mask_unit_seg_leng,
          self.cfg.mask_unit_seg_type,
          self.unit_mask_val,
      )
  
      dur_src, dur_mask = self.apply_seq_dropout(
          dur_src, self.cfg.mask_dur_prob, self.dur_mask_val
      )
      dur_src, _dur_mask = self.apply_seg_dropout(
          dur_src,
          self.cfg.mask_dur_seg_prob,
          self.cfg.mask_dur_seg_leng,
          self.cfg.mask_dur_seg_type,
          self.dur_mask_val,
      )
      dur_mask = dur_mask.logical_or(_dur_mask)
  
      f0_src, f0_mask = self.apply_seq_dropout(
          f0_src, self.cfg.mask_f0_prob, self.f0_mask_val
      )
      f0_src, _f0_mask = self.apply_seg_dropout(
          f0_src,
          self.cfg.mask_f0_seg_prob,
          self.cfg.mask_f0_seg_leng,
          self.cfg.mask_f0_seg_type,
          self.f0_mask_val,
      )
      f0_mask = f0_mask.logical_or(_f0_mask)
  
      return src_tokens, unit_mask, dur_src, dur_mask, f0_src, f0_mask
  
imports: from dataclasses import dataclass, field
  from fairseq.models.fairseq_decoder import FairseqDecoder
  import numpy
  from typing import Optional, Dict, Any, List
  import torch
  from torch import nn
  from fairseq.data.data_utils import compute_mask_indices
  from fairseq.dataclass import ChoiceEnum
  from fairseq.models import FairseqLanguageModel, register_model, register_model_architecture
  from fairseq.tasks.speech_ulm_task import SpeechUnitLanguageModelingTask
  from fairseq.models.transformer import Embedding, TransformerDecoder, Linear
  from fairseq.models.transformer_lm import TransformerLanguageModelConfig
  from torch import Tensor
label_desc: Use image node_id 5 for calling the TransformerUnitLanguageModel obj's underlying member method code with example usage: obj.apply_dropout(src_tokens, dur_src, f0_src) and returns: src_tokens,  unit_mask,  dur_src,  dur_mask,  f0_src,  f0_mask