code: def _forward_impl(self, x, **kwargs):
      for l in self.layers:
          x = l(x)
      return x
  
file_path: ml-ane-transformers/ane_transformers/reference/ffn.py
imports: import torch
  import torch.nn
  from .layer_norm import LayerNormANE
label_desc: Use image node_id 2 for calling the FFN obj's underlying member method code with example usage: obj._forward_impl(x) and returns: x