code: def forward(self, x: List[torch.Tensor]) -> List[torch.Tensor]:
      if not isinstance(x, list):
          x = [x]
      assert len(x) in [1, 2]
  
      d1 = self.conv1(x[0])
      d2 = self.conv3(self.conv2(d1))
      d3 = self.conv5(self.conv4(d2))
      if self.is_first:
          out = self.conv6(torch.cat([d1, d2, d3], 1))
          return [out, out]
      else:
          return [self.conv6(torch.cat([d1, d2, d3, x[1]], 1)), x[1]]
  
imports: from typing import List
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import create_classifier
  from ._builder import build_model_with_cfg
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 2 for calling the SelecSlsBlock obj's underlying member method code with example usage: obj.forward(x) and returns: list, list