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: Get the momentum. This function can be used to perform momentum annealing.
docstr_tok: ["Get","the","momentum",".","This","function","can","be","used","to","perform","momentum","annealing","."]
code: def get_mmt(self) -> float:
      """
      Get the momentum. This function can be used to perform momentum annealing.
      """
      return 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 4 for calling the BYOL obj's underlying member method code with example usage: obj.get_mmt() and returns: self