code: def correct_for_bias_scale_order_inversion(
      state_dict,
      prefix,
      local_metadata,
      strict,
      missing_keys,
      unexpected_keys,
      error_msgs,
  ):
      state_dict[prefix + "bias"] = (
          state_dict[prefix + "bias"] / state_dict[prefix + "weight"]
      )
      return state_dict
  
imports: from ane_transformers.reference.layer_norm import LayerNormANE
  import torch
  import torch.nn
  from transformers.models.distilbert import modeling_distilbert
label_desc: Use image node_id 1 for calling a global function with example usage: correct_for_bias_scale_order_inversion(state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys, error_msgs) and returns: state_dict