class_docstr: Implementations based on the Vnet paper: https://arxiv.org/abs/1606.04797
class_docstr_tok: ["Implementations","based","on","the","Vnet","paper",":","https",":","\/\/arxiv.org\/abs\/1606.04797"]
code: def init_weight(self):
      if self.pretrained is not None:
          utils.load_entire_model(self, self.pretrained)
  
imports: import os
  import sys
  import paddle
  import paddle.nn
  import numpy
  from inference.ops import DistMaps3D, ScaleLayer, BatchImageNormalize3D
  from paddleseg.utils import utils
label_desc: Use image node_id 2 for calling the VNet obj's underlying member method code with example usage: obj.init_weight() without return types