class_docstr: Pure Python implementation of multi-blank transducer loss (https://arxiv.org/pdf/2211.03541.pdf)
class_docstr_tok: ["Pure","Python","implementation","of","multi-blank","transducer","loss","(","https",":","\/\/arxiv.org\/pdf\/2211.03541.pdf",")"]
code: def __init__(
      self,
      blank,
      big_blank_durations,
      reduction: str = "sum",
      sigma: float = 0.0,
  ):
      super().__init__()
      self.blank = blank
      self.big_blank_durations = big_blank_durations
      self.reduction = reduction
      self.sigma = sigma
  
imports: from typing import List
  import torch
  from nemo.core.classes import Loss
  from nemo.core.neural_types import LabelsType, LengthsType, LogprobsType, LossType, NeuralType
label_desc: Use image node_id 3 to create a new MultiblankRNNTLossPytorch object from inherited base classes: Loss with example: obj = MultiblankRNNTLossPytorch(blank, big_blank_durations, reduction, sigma)