class_docstr: Generate next token from the representation. This part is separated from the decoder, mostly for the convenience of sharing weight between embedding and generator.
  log(softmax(Wx + b))
code: def forward(self, x):
      return th.log_softmax(self.proj(x), dim=-1)
  
imports: import torch
  import torch.nn
  from torch.nn import LayerNorm
  import copy
label_desc: Use image node_id 2 for calling the Generator obj's underlying member method code with example usage: obj.forward(x) and returns: th