class_docstr: Combine information from skip connections.
class_docstr_tok: ["Combine","information","from","skip","connections","."]
code: def forward(self, x, y):
      h = self.Conv_0(x)
      if self.method == "cat":
          return torch.cat([h, y], dim=1)
      elif self.method == "sum":
          return h + y
      else:
          raise ValueError(f"Method {self.method} not recognized.")
  
imports: import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from espnet2.enh.layers.ncsnpp_utils import layers, up_or_down_sampling
label_desc: Use image node_id 2 for calling the Combine obj's underlying member method code with example usage: obj.forward(x, y) and returns: torch, unknown