code: def bn_function(self, inputs):
      # type: (List[Tensor]) -> Tensor
      concated_features = torch.cat(inputs, 1)
      bottleneck_output = self.conv1(
          self.relu1(self.norm1(concated_features))
      )  # noqa: T484
      return bottleneck_output
  
imports: import re
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.utils.checkpoint
  from collections import OrderedDict
  from torch.hub import load_state_dict_from_url
  from torch import Tensor
  from torch.jit.annotations import List
  from ..tools.custom_modules import FakeReLU
label_desc: Use image node_id 2 for calling the _DenseLayer obj's underlying member method code with example usage: obj.bn_function(inputs) and returns: bottleneck_output