code: def __init__(
      self,
      combine_time_steps: int = 1,
      mask_threshold: float = 0.8,
  ):
      super().__init__()
      self.nll_loss = nn.NLLLoss()
      self.combine_time_steps = combine_time_steps
      self.mask_threshold = mask_threshold
  
file_path: NeMo/nemo/collections/asr/losses/ssl_losses/mlm.py
imports: import torch
  import torch.nn.functional
  from torch import nn
  from nemo.core import Loss, typecheck
  from nemo.core.neural_types import LabelsType, LengthsType, LogprobsType, LossType, NeuralType, SpectrogramType
label_desc: Use image node_id 4 to create a new MLMLoss object from inherited base classes: Loss with example: obj = MLMLoss(combine_time_steps, mask_threshold)