class_docstr: Creation of a class to combine the decoder and the lm head 
code: def forward(self, input_ids, encoder_hidden_states):
      decoder_output = self.decoder(
          input_ids=input_ids,
          encoder_hidden_states=encoder_hidden_states,
      )[0] * (self.config.d_model**-0.5)
      return self.lm_head(decoder_output)
  
file_path: onnxt5/onnxt5/models.py
imports: import torch
  import torch.nn.functional
  from tqdm import trange
label_desc: Use image node_id 2 for calling the CombinedDecoder obj's underlying member method code with example usage: obj.forward(input_ids, encoder_hidden_states) and returns: self