code: def forward(
      self,
      decoder_embed,
      encoder_embed,
      encoder_k_mask,
      decoder_k_mask,
      decoder_qk_mask,
      decoder_pos_embed,
      encoder_pos_embed,
  ):
      x = decoder_embed
      x, _ = self.self_attn(
          qkv=x,
          qpos=decoder_pos_embed,
          kpos=decoder_pos_embed,
          qk_mask=decoder_qk_mask,
          k_mask=decoder_k_mask,
      )
      x, _ = self.multihead_attn(
          q=x,
          k=encoder_embed,
          v=encoder_embed,
          qpos=decoder_pos_embed,
          kpos=encoder_pos_embed,
          k_mask=encoder_k_mask,
      )
      x = self.ffn(x)
  
      return x
  
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 2 for calling the TransformerDecoderLayer obj's underlying member method code with example usage: obj.forward(decoder_embed, encoder_embed, encoder_k_mask, decoder_k_mask, decoder_qk_mask, decoder_pos_embed, encoder_pos_embed) and returns: x