code: def linseg_step(self):
      if not self.training:
          return False
      if self.linseg_progress.item() < self.linseg_maximum:
          if self.linseg_message_state == "start":
              print("| using LinSeg to initialize ASG")
              self.linseg_message_state = "finish"
          self.linseg_progress.add_(1)
          return True
      elif self.linseg_message_state == "finish":
          print("| finished LinSeg initialization")
          self.linseg_message_state = "none"
      return False
  
file_path: fairseq/examples/speech_recognition/criterions/ASG_loss.py
imports: import torch
  from examples.speech_recognition.data.replabels import pack_replabels
  from fairseq import utils
  from fairseq.criterions import FairseqCriterion, register_criterion
label_desc: Use image node_id 4 for calling the ASGCriterion obj's underlying member method code with example usage: obj.linseg_step() and returns: False, False, True