code: def forward(self, x):
      out = self.conv1(F.relu(self.bn1(x)))
      out = self.conv2(F.relu(self.bn2(out)))
      out = torch.cat([out, x], 1)
      return out
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  from ..tools.custom_modules import FakeReLU
label_desc: Use image node_id 2 for calling the Bottleneck obj's underlying member method code with example usage: obj.forward(x) and returns: out