code: def forward_cls(self, x, padding_mask):
      x = self.forward(x, padding_mask)
      return x[:, 0]
  
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 3 for calling the GRU_Encoder obj's underlying member method code with example usage: obj.forward_cls(x, padding_mask) and returns: x