docstr: conv the output down to channels as the desired classesv
docstr_tok: ["conv","the","output","down","to","channels","as","the","desired","classesv"]
code: def __init__(self, in_channels, num_classes, elu):
      """
      conv the output down to channels as the desired classesv
      """
      super(OutputTransition, self).__init__()
      self.conv1 = nn.Conv3D(
          in_channels, num_classes, kernel_size=5, padding=2
      )
      self.bn1 = nn.BatchNorm3D(num_classes)
  
      self.conv2 = nn.Conv3D(num_classes, num_classes, kernel_size=1)
      self.relu1 = nn.ELU() if elu else nn.PReLU(num_classes)
  
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 OutputTransition object from inherited base classes: nn with example: obj = OutputTransition(in_channels, num_classes, elu)