code: def __init__(self, config):
      super().__init__(config)
      setattr(self, "attention", MultiHeadSelfAttention(config))
      setattr(self, "sa_layer_norm", LayerNormANE(config.dim, eps=EPS))
      setattr(self, "ffn", FFN(config))
      setattr(
          self, "output_layer_norm", LayerNormANE(config.dim, eps=EPS)
      )
  
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 TransformerBlock object from inherited base classes: modeling_distilbert with example: obj = TransformerBlock(config)