code: def forward(
      self,
      src_tokens,
      src_lengths: Optional[torch.Tensor] = None,
      return_all_hiddens: bool = False,
      token_embeddings: Optional[torch.Tensor] = None,
  ):
      self.attn_head_selector.head_select(self.task_ids)
      return super().forward(
          src_tokens, src_lengths, return_all_hiddens, token_embeddings
      )
  
imports: from typing import Any, List, Dict, Optional
  import torch
  import torch.nn
  from torch import Tensor
  from fairseq.utils import safe_hasattr
  from fairseq.models.transformer import TransformerModel, TransformerEncoder, TransformerDecoder
  from ..modules.attn_head_selector import AttnHeadSelector
  from ..modules.head_selection_transformer_layer import HeadSelectionTransformerEncoderLayer, HeadSelectionTransformerDecoderLayer
label_desc: Use image node_id 4 for calling the HeadSelectionTransformerEncoder obj's underlying member method code with example usage: obj.forward(src_tokens, src_lengths, return_all_hiddens, token_embeddings) and returns: super