class_docstr: ResBlock with SE layer
class_docstr_tok: ["ResBlock","with","SE","layer"]
code: def __init__(
      self, input_nc, output_nc, convolution, dimension=3, reduction=16
  ):
      super().__init__(input_nc, output_nc, convolution, dimension=3)
      self.SE = SELayer(
          output_nc, reduction=reduction, dimension=dimension
      )
  
imports: import torch
  import MinkowskiEngine
  import sys
  from .common import NormType, get_norm
  from torch_points3d.core.common_modules import Seq, Identity
label_desc: Use image node_id 1 to create a new SEBlock object from inherited base classes: ResBlock with example: obj = SEBlock(input_nc, output_nc, convolution, dimension, reduction)