class_docstr: Same as Down conv but for the Decoder
class_docstr_tok: ["Same","as","Down","conv","but","for","the","Decoder"]
code: def __init__(
      self,
      up_conv_nn=[],
      kernel_size=2,
      dilation=1,
      stride=2,
      N=1,
      **kwargs,
  ):
      super().__init__(
          down_conv_nn=up_conv_nn,
          kernel_size=kernel_size,
          dilation=dilation,
          stride=stride,
          N=N,
          **kwargs,
      )
  
file_path: torch-points3d/torch_points3d/modules/SparseConv3d/modules.py
imports: import torch
  import sys
  from torch_points3d.core.common_modules import Seq, Identity
  import torch_points3d.modules.SparseConv3d.nn
label_desc: Use image node_id 1 to create a new ResNetUp object from inherited base classes: ResNetDown with example: obj = ResNetUp(up_conv_nn, kernel_size, dilation, stride, N)