class_docstr: The ESPNetV2 implementation based on PaddlePaddle.
  
  The original article refers to
  Sachin Mehta, Mohammad Rastegari, Linda Shapiro, and Hannaneh Hajishirzi. "ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network"
  (https://arxiv.org/abs/1811.11431).
  
  Args:
      num_classes (int): The unique number of target classes.
      in_channels (int, optional): Number of input channels. Default: 3.
      scale (float, optional): The scale of channels, only support scale <= 1.5 and scale == 2. Default: 1.0.
      drop_prob (floa, optional): The probability of dropout. Default: 0.1.
      pretrained (str, optional): The path or url of pretrained model. Default: None.
class_docstr_tok: ["The","ESPNetV2","implementation","based","on","PaddlePaddle",".","The","original","article","refers","to","Sachin","Mehta",",","Mohammad","Rastegari",",","Linda","Shapiro",",","and","Hannaneh","Hajishirzi",".","``","ESPNetv2",":","A","Light-weight",",","Power","Efficient",",","and","General","Purpose","Convolutional","Neural","Network","''","(","https",":","\/\/arxiv.org\/abs\/1811.11431",")",".","Args",":","num_classes","(","int",")",":","The","unique","number","of","target","classes",".","in_channels","(","int",",","optional",")",":","Number","of","input","channels",".","Default",":","3.","scale","(","float",",","optional",")",":","The","scale","of","channels",",","only","support","scale","<","=","1.5","and","scale","==","2",".","Default",":","1.0.","drop_prob","(","floa",",","optional",")",":","The","probability","of","dropout",".","Default",":","0.1.","pretrained","(","str",",","optional",")",":","The","path","or","url","of","pretrained","model",".","Default",":","None","."]
code: def init_weight(self):
      if self.pretrained is not None:
          utils.load_entire_model(self, self.pretrained)
  
imports: import math
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg import utils
  from paddleseg.cvlibs import manager, param_init
  from paddleseg.models import layers
label_desc: Use image node_id 2 for calling the ESPNetV2 obj's underlying member method code with example usage: obj.init_weight() without return types