class_docstr: The ESPNetV1 implementation based on PaddlePaddle.
  
  The original article refers to
    Sachin Mehta1, Mohammad Rastegari, Anat Caspi, Linda Shapiro, and Hannaneh Hajishirzi. "ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation"
    (https://arxiv.org/abs/1803.06815).
  
  Args:
      num_classes (int): The unique number of target classes.
      in_channels (int, optional): Number of input channels. Default: 3.
      level2_depth (int, optional): Depth of DilatedResidualBlock. Default: 2.
      level3_depth (int, optional): Depth of DilatedResidualBlock. Default: 3.
      pretrained (str, optional): The path or url of pretrained model. Default: None.
class_docstr_tok: ["The","ESPNetV1","implementation","based","on","PaddlePaddle",".","The","original","article","refers","to","Sachin","Mehta1",",","Mohammad","Rastegari",",","Anat","Caspi",",","Linda","Shapiro",",","and","Hannaneh","Hajishirzi",".","``","ESPNet",":","Efficient","Spatial","Pyramid","of","Dilated","Convolutions","for","Semantic","Segmentation","''","(","https",":","\/\/arxiv.org\/abs\/1803.06815",")",".","Args",":","num_classes","(","int",")",":","The","unique","number","of","target","classes",".","in_channels","(","int",",","optional",")",":","Number","of","input","channels",".","Default",":","3.","level2_depth","(","int",",","optional",")",":","Depth","of","DilatedResidualBlock",".","Default",":","2.","level3_depth","(","int",",","optional",")",":","Depth","of","DilatedResidualBlock",".","Default",":","3.","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 paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.models import layers
  from paddleseg.cvlibs import manager
  from paddleseg.utils import utils
label_desc: Use image node_id 2 for calling the ESPNetV1 obj's underlying member method code with example usage: obj.init_weight() without return types