class_docstr: Combine information from skip connections.
class_docstr_tok: ["Combine","information","from","skip","connections","."]
code: def __init__(self, dim1, dim2, method="cat"):
      super().__init__()
      self.Conv_0 = conv1x1(dim1, dim2)
      self.method = method
  
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 1 to create a new Combine object from inherited base classes: nn with example: obj = Combine(dim1, dim2, method)