code: def prepare(self, param_groups):
      self.optimizer = _LARS(
          param_groups,
          lr=self._lr,
          momentum=self._momentum,
          weight_decay=self._weight_decay,
          eta=self._eta,
          exclude_bias_and_norm=self._exclude_bias_and_norm,
      )
  
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 2 for calling the LARS obj's underlying member method code with example usage: obj.prepare(param_groups) without return types