class_docstr: The DeepLabV3 implementation based on PaddlePaddle.
  
  The original article refers to
   Liang-Chieh Chen, et, al. "Rethinking Atrous Convolution for Semantic Image Segmentation"
   (https://arxiv.org/pdf/1706.05587.pdf).
  
  Args:
      Please Refer to DeepLabV3P above.
class_docstr_tok: ["The","DeepLabV3","implementation","based","on","PaddlePaddle",".","The","original","article","refers","to","Liang-Chieh","Chen",",","et",",","al",".","``","Rethinking","Atrous","Convolution","for","Semantic","Image","Segmentation","''","(","https",":","\/\/arxiv.org\/pdf\/1706.05587.pdf",")",".","Args",":","Please","Refer","to","DeepLabV3P","above","."]
code: def init_weight(self):
      if self.pretrained is not None:
          utils.load_entire_model(self, self.pretrained)
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
  from paddleseg.models import layers
  from paddleseg.utils import utils
label_desc: Use image node_id 3 for calling the DeepLabV3 obj's underlying member method code with example usage: obj.init_weight() without return types