code: def __init__(self, *args, **kwargs):
      super().__init__(*args, **kwargs)
      self._register_load_state_dict_pre_hook(
          correct_for_bias_scale_order_inversion
      )
  
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 to create a new LayerNormANE object from inherited base classes: LayerNormANE with example: obj = LayerNormANE()