class_docstr: Embeddings module optimized for Apple Neural Engine
      
class_docstr_tok: ["Embeddings","module","optimized","for","Apple","Neural","Engine"]
code: def __init__(self, config):
      super().__init__(config)
      setattr(self, "LayerNorm", 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 Embeddings object from inherited base classes: modeling_distilbert with example: obj = Embeddings(config)