code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      self.results = []
      out = x
      for m in self.blocks.children():
          out = m(out)
          self.results.append(out)
      return out
  
imports: from typing import Any, Callable, Dict, List, Optional, Tuple
  import torch
  from torch import nn
  from kornia.core import Module, Tensor
label_desc: Use image node_id 2 for calling the TransformerEncoder obj's underlying member method code with example usage: obj.forward(x) and returns: out