code: def forward(self, inputs):
      out = [self.ops[i](feature) for i, feature in enumerate(inputs)]
      out = torch.cat(out, 1)
      out = self.fusion_conv(out)
      return out
  
imports: import numpy
  import torch
  import torch.nn
  import torch.utils.checkpoint
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the LevelFusion obj's underlying member method code with example usage: obj.forward(inputs) and returns: out