code: def __call__(
      self,
      state_dict,
      prefix,
      local_metadata,
      strict,
      missing_keys,
      unexpected_keys,
      error_msgs,
  ) -> None:
      fn = self.fn
      version = local_metadata.get("spectral_norm", {}).get(
          fn.name + ".version", None
      )
      if version is None or version < 1:
          weight_key = prefix + fn.name
          if (
              version is None
              and all(
                  weight_key + s in state_dict
                  for s in ("_orig", "_u", "_v")
              )
              and weight_key not in state_dict
          ):
              # Detect if it is the updated state dict and just missing metadata.
              # This could happen if the users are crafting a state dict themselves,
              # so we just pretend that this is the newest.
              return
          has_missing_keys = False
          for suffix in ("_orig", "", "_u"):
              key = weight_key + suffix
              if key not in state_dict:
                  has_missing_keys = True
                  if strict:
                      missing_keys.append(key)
          if has_missing_keys:
              return
          with torch.no_grad():
              weight_orig = state_dict[weight_key + "_orig"]
              weight = state_dict.pop(weight_key)
              sigma = (weight_orig / weight).mean()
              weight_mat = fn.reshape_weight_to_matrix(weight_orig)
              u = state_dict[weight_key + "_u"]
              v = fn._solve_v_and_rescale(weight_mat, u, sigma)
              state_dict[weight_key + "_v"] = v
  
file_path: pytorch/torch/nn/utils/spectral_norm.py
imports: import torch
  from torch.nn.functional import normalize
  from typing import Any, Optional, TypeVar
  from ..modules import Module
label_desc: Use image node_id 2 for calling the SpectralNormLoadStateDictPreHook obj's underlying member method code with example usage: obj.__call__(state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys, error_msgs) without return types