class_docstr: Bootstrap Your Own Latent A New Approach to Self-Supervised Learning
  Details can be found in:
  https://arxiv.org/pdf/2006.07733.pdf
docstr: Momentum update on the backbone.
docstr_tok: ["Momentum","update","on","the","backbone","."]
code: def _momentum_update_backbone(self):
      """
      Momentum update on the backbone.
      """
      for param, param_mmt in zip(
          self.backbone.parameters(), self.backbone_mmt.parameters()
      ):
          param_mmt.data = param_mmt.data * self.mmt + param.data * (
              1.0 - self.mmt
          )
  
file_path: pytorchvideo/pytorchvideo/models/byol.py
imports: import copy
  from typing import Callable, Optional
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 5 for calling the BYOL obj's underlying member method code with example usage: obj._momentum_update_backbone() without return types