class_docstr: Temperature-scaled Contrastive loss for MoCo and other Self-Supervised learning
  approaches - https://arxiv.org/abs/1911.05722
  
  Args:
      temperature (float): scalar value to scale the loss by.
code: def __init__(
      self, reduction: str = "mean", temperature: float = 0.1
  ) -> None:
      super(ContrastiveLoss, self).__init__()
      self.reduction = reduction
      self.temperature = temperature
  
imports: from typing import List
  import pytorchvideo_trainer.module.distributed_utils
  import torch
  import torch.nn
  import torch.nn.functional
  from pytorchvideo.layers.utils import set_attributes
label_desc: Use image node_id 1 to create a new ContrastiveLoss object from inherited base classes: nn with example: obj = ContrastiveLoss(reduction, temperature)