code: def __init__(self, in_planes, out_planes):
      super(TranspConv3DBlock, self).__init__()
      self.block = nn.Conv3DTranspose(
          in_planes,
          out_planes,
          kernel_size=2,
          stride=2,
          padding=0,
          output_padding=0,
          bias_attr=False,
      )
  
imports: from typing import List, Tuple
  import numpy
  import paddle
  import paddle.nn
  from paddle import Tensor
  from medicalseg.cvlibs import manager
label_desc: Use image node_id 1 to create a new TranspConv3DBlock object from inherited base classes: nn with example: obj = TranspConv3DBlock(in_planes, out_planes)