code: def __init__(
      self, soft_target_alpha: float, temperature: float, loss_type: str
  ):
      super().__init__()
      self.criterion = DistillationCriterion(
          soft_target_alpha=soft_target_alpha,
          temperature=temperature,
          loss_type=DistillationType[loss_type.upper()],
      )
      self.teacher_logits = None
  
imports: from enum import Enum
  import torch
  import torch.nn
  import torch.nn.functional
  from classy_vision.losses import ClassyLoss, register_loss
  from vissl.config.attr_dict import AttrDict
  from vissl.losses.cross_entropy_multiple_output_single_target import SmoothCrossEntropy
label_desc: Use image node_id 1 to create a new DistillationLoss object from inherited base classes: ClassyLoss with example: obj = DistillationLoss(soft_target_alpha, temperature, loss_type)