TransformerDecoderLayer
class torch.nn.TransformerDecoderLayer(d_model, nhead, dim_feedforward=2048, dropout=0.1, activation=, layer_norm_eps=1e-05, batch_first=False, norm_first=False, device=None, dtype=None)
TransformerDecoderLayer is made up of self-attn, multi-head-attn
   and feedforward network. This standard decoder layer is based on
   the paper "Attention Is All You Need". Ashish Vaswani, Noam
   Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez,
   Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you
   need. In Advances in Neural Information Processing Systems, pages
   6000-6010. Users may modify or implement in a different way during
   application.
Parameters:
      * d_model (int) -- the number of expected features in the
        input (required).
  * **nhead** (*int*) -- the number of heads in the
    multiheadattention models (required).

  * **dim_feedforward** (*int*) -- the dimension of the
