code: def forward(self, img, return_embeddings_only=False):
      assert (
          not self.ejected
      ), "extractor has been ejected, cannot be used anymore"
      self.clear()
      if not self.hook_registered:
          self._register_hook()
  
      pred = self.vit(img)
  
      target_device = self.device if exists(self.device) else img.device
      latents = apply_tuple_or_single(
          lambda t: t.to(target_device), self.latents
      )
  
      if return_embeddings_only or self.return_embeddings_only:
          return latents
  
      return pred, latents
  
file_path: vit-pytorch/vit_pytorch/extractor.py
imports: import torch
  from torch import nn
label_desc: Use image node_id 6 for calling the Extractor obj's underlying member method code with example usage: obj.forward(img, return_embeddings_only) and returns: pred,  latents, latents