code: def __init__(self):
      super(AttentionBinarizationLoss, self).__init__()
  
file_path: NeMo/nemo/collections/tts/losses/radttsloss.py
imports: import torch
  from torch.nn import functional
  from nemo.collections.tts.losses.aligner_loss import ForwardSumLoss
  from nemo.collections.tts.parts.utils.helpers import get_mask_from_lengths
  from nemo.core.classes import Loss
label_desc: Use image node_id 1 to create a new AttentionBinarizationLoss object from inherited base classes: torch.nn with example: obj = AttentionBinarizationLoss()