code: def get_config(self):
      self.num_classes = self.get_config_from_sec(
          "model", "num_classes"
      )
      self.seg_num = self.get_config_from_sec("model", "seg_num")
      self.seglen = self.get_config_from_sec("model", "seglen")
      self.image_mean = self.get_config_from_sec("model", "image_mean")
      self.image_std = self.get_config_from_sec("model", "image_std")
      self.num_layers = self.get_config_from_sec("model", "num_layers")
  
      self.num_epochs = self.get_config_from_sec("train", "epoch")
      self.total_videos = self.get_config_from_sec(
          "train", "total_videos"
      )
      self.base_learning_rate = self.get_config_from_sec(
          "train", "learning_rate"
      )
      self.learning_rate_decay = self.get_config_from_sec(
          "train", "learning_rate_decay"
      )
      self.l2_weight_decay = self.get_config_from_sec(
          "train", "l2_weight_decay"
      )
      self.momentum = self.get_config_from_sec("train", "momentum")
  
      self.seg_num = self.get_config_from_sec(
          self.mode, "seg_num", self.seg_num
      )
      self.target_size = self.get_config_from_sec(
          self.mode, "target_size"
      )
      self.batch_size = self.get_config_from_sec(
          self.mode, "batch_size"
      )
  
imports: import numpy
  import paddle.fluid
  from paddle.fluid import ParamAttr
  from ..model import ModelBase
  from .tsn_res_model import TSN_ResNet
  import logging
label_desc: Use image node_id 2 for calling the TSN obj's underlying member method code with example usage: obj.get_config() without return types