code: def forward(self, x: Tensor) -> Tensor:
      shortcut = x
      x = self.conv1(x)
      x = self.conv2(x)
  
      x = self.se(x)
      x = self.conv3(x)
  
      x = self.dropout(x)
  
      shortcut = self.downsample(shortcut)
  
      x += shortcut
      x = self.ac3(x)
      return x
  
imports: from typing import Optional
  import numpy
  import torch
  import torch.nn
  from torch import Tensor
label_desc: Use image node_id 3 for calling the Bottleneck obj's underlying member method code with example usage: obj.forward(x) and returns: x