code: def __init__(self, nchan, elu):
      super(LUConv, self).__init__()
      self.relu1 = nn.ELU() if elu else nn.PReLU(nchan)
      self.conv1 = nn.Conv3D(nchan, nchan, kernel_size=5, padding=2)
  
      self.bn1 = nn.BatchNorm3D(nchan)
  
imports: import os
  import sys
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from medicalseg.cvlibs import manager
  from medicalseg.utils import utils
label_desc: Use image node_id 1 to create a new LUConv object from inherited base classes: nn with example: obj = LUConv(nchan, elu)