code: def __init__(
      self,
      task,
      sentence_avg,
      use_guided_attention_loss,
      guided_attention_loss_sigma,
      bce_pos_weight,
      ctc_weight,
  ):
      super().__init__(
          task,
          sentence_avg,
          use_guided_attention_loss,
          guided_attention_loss_sigma,
          bce_pos_weight,
          ctc_weight,
      )
  
imports: import logging
  import math
  from collections import OrderedDict
  import torch
  from fairseq import utils
  from fairseq.logging import metrics
  from fairseq.criterions import register_criterion
  from fairseq.criterions.ctc import CtcCriterion
  from fairseq.criterions.label_smoothed_cross_entropy_with_rdrop import RdropLabelSmoothedCrossEntropyCriterion, RdropLabelSmoothedCrossEntropyCriterionConfig, duplicate_input
  from fairseq.criterions.tacotron2_loss import Tacotron2Criterion, Tacotron2CriterionConfig
label_desc: Use image node_id 1 to create a new SpeechToSpectrogram2passMultitaskTaskCriterion object from inherited base classes: SpeechToSpectrogramMultitaskTaskCriterion with example: obj = SpeechToSpectrogram2passMultitaskTaskCriterion(task, sentence_avg, use_guided_attention_loss, guided_attention_loss_sigma, bce_pos_weight, ctc_weight)