code: def __init__(
      self,
      lr: float = 0.1,
      momentum: float = 0.9,
      weight_decay: float = 0.0,
      eta: float = 0.001,
      exclude_bias_and_norm: bool = False,
  ):
      super(LARS, self).__init__()
  
      self._lr = lr
      self._momentum = momentum
      self._weight_decay = weight_decay
      self._eta = eta
      self._exclude_bias_and_norm = exclude_bias_and_norm
  
      self.optimizer = None
  
file_path: vissl/vissl/optimizers/lars.py
imports: from typing import Any, Dict
  import torch
  from classy_vision.optim import ClassyOptimizer, register_optimizer
  from torch import optim
label_desc: Use image node_id 1 to create a new LARS object from inherited base classes: ClassyOptimizer with example: obj = LARS(lr, momentum, weight_decay, eta, exclude_bias_and_norm)