code: def forward(self, net: Tensor) -> Tensor:
      net = self.relu_s1(self.bn_s1(self.conv_s1(net)))
      return net
  
imports: import torch
  import numpy
  import torch.nn
  import torch.nn.functional
  from PIL import Image
  from torch import Tensor
  from cftool.cv import to_rgb
  from torchvision.transforms.functional import normalize
  from ....misc.toolkit import download_model
label_desc: Use image node_id 2 for calling the REBNCONV obj's underlying member method code with example usage: obj.forward(net) and returns: net