class_docstr: Sharpness-Aware Minimization that simultaneously minimizes loss value and loss sharpness.
  In particular, it seeks parameters that lie in neighborhoods having uniformly low loss.
code: def load_state_dict(self, state_dict):
      super().load_state_dict(state_dict)
      self.base_optimizer.param_groups = self.param_groups
  
file_path: towhee/towhee/models/layers/sam.py
imports: import torch
label_desc: Use image node_id 6 for calling the SAM obj's underlying member method code with example usage: obj.load_state_dict(state_dict) without return types