code: def __init__(self, layer, num_layers):
      super().__init__()
      self.layers = nn.ModuleList(
          [copy.deepcopy(layer) for i in range(num_layers)]
      )
      self.num_layers = num_layers
      self.norm = LayerNormANE(layer.embed_dim)
  
file_path: ml-ane-transformers/ane_transformers/reference/decoder.py
imports: import logging
  import copy
  import torch
  import torch.nn
  from .layer_norm import LayerNormANE
label_desc: Use image node_id 1 to create a new TransformerDecoder object from inherited base classes: nn with example: obj = TransformerDecoder(layer, num_layers)