code: def init_decoder(self):
      num_outputs = self.num_outputs
      if self.hparams.loss_type == "corn":
          num_outputs -= 1
      if self.hparams.pooled:
          log.info("Model with the POOLED representation")
          self.decoder = AttentionDecoderP(
              self.hparams, num_outputs=num_outputs
          )
          self.encoder_f = self.transformer.forward
      else:
          log.info("Model with the CLS representation")
          self.decoder = Deep_Decoder(
              self.hparams, num_outputs=num_outputs
          )
          self.encoder_f = self.transformer.forward
  
imports: from turtle import forward
  from ..transformer.cls_model import Transformer_CLS, Transformer_PSY
  from ..transformer.transformer import AttentionDecoder, AttentionDecoderP, CLS_Decoder_FT2, Deep_Decoder
  from ..transformer.embeddings import Embeddings
  import torch
  import torch.nn
  import logging
label_desc: Use image node_id 2 for calling the SimpleGRU_PSY obj's underlying member method code with example usage: obj.init_decoder() without return types