class_docstr: A standard interface for optimizers wrapped by the Booster.
  
  Args:
      optim (Optimizer): The optimizer to be wrapped.
docstr: Loads the optimizer state.
docstr_tok: ["Loads","the","optimizer","state","."]
code: def load_state_dict(self, *args, **kwargs):
      """
      Loads the optimizer state.
      """
      self.optim.load_state_dict(*args, **kwargs)
  
imports: from typing import Union
  import torch
  import torch.nn
  from torch import Tensor
  from torch.optim import Optimizer
label_desc: Use image node_id 11 for calling the OptimizerWrapper obj's underlying member method code with example usage: obj.load_state_dict() without return types