code: def __init__(self, config):
      super().__init__(config)
      setattr(
          self,
          "layer",
          nn.ModuleList(
              [TransformerBlock(config) for _ in range(config.n_layers)]
          ),
      )
  
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 Transformer object from inherited base classes: modeling_distilbert with example: obj = Transformer(config)