docstr: Restore the parameters stored with the `store` method.
  Useful to validate the model with EMA parameters without affecting the
  original optimization process. Store the parameters before the
  `copy_to` method. After validation (or model saving), use this to
  restore the former parameters.
  Args:
    parameters: Iterable of `torch.nn.Parameter`; the parameters to be
      updated with the stored parameters.
code: def restore(self, parameters):
      """
      Restore the parameters stored with the `store` method.
      Useful to validate the model with EMA parameters without affecting the
      original optimization process. Store the parameters before the
      `copy_to` method. After validation (or model saving), use this to
      restore the former parameters.
      Args:
        parameters: Iterable of `torch.nn.Parameter`; the parameters to be
          updated with the stored parameters.
      """
      for c_param, param in zip(self.collected_params, parameters):
          param.data.copy_(c_param.data)
  
file_path: stablediffusion/ldm/modules/ema.py
imports: import torch
  from torch import nn
label_desc: Use image node_id 6 for calling the LitEma obj's underlying member method code with example usage: obj.restore(parameters) without return types