code: def forward(self, x: Tensor) -> Tensor:
      y = x
      y = self.relu(self.bn1(self.conv1(y)))
      y = self.bn2(self.conv2(y))
  
      if self.downsample is not None:
          x = self.downsample(x)
  
      return self.relu(x + y)
  
file_path: kornia/kornia/feature/loftr/backbone/resnet_fpn.py
imports: from typing import Any, Dict, List, Type, Union
  import torch.nn.functional
  from torch import nn
  from kornia.core import Module, Tensor
label_desc: Use image node_id 2 for calling the BasicBlock obj's underlying member method code with example usage: obj.forward(x) and returns: self