code: def __call__(self, module, state_dict, prefix, local_metadata):
      for key in state_dict:
          param = state_dict[key]
          if "Half" in param.type():
              param = param.to(torch.float32)
              state_dict[key] = param
  
imports: import collections.abc
  from types import MethodType
  import functools
  import sys
  import warnings
  import numpy
  import torch
  from ._amp_state import _amp_state, warn_or_err
  from .handle import disable_casts
  from .scaler import LossScaler
  from ._process_optimizer import _process_optimizer
  from apex.fp16_utils import convert_network
  from ..fp16_utils import FP16_Optimizer
  from ..contrib.optimizers import FP16_Optimizer
label_desc: Use image node_id 2 for calling the O2StateDictHook obj's underlying member method code with example usage: obj.__call__(module, state_dict, prefix, local_metadata) without return types