code: def __init__(self, channels, num_codes):
      super().__init__()
      self.channels, self.num_codes = channels, num_codes
  
      std = 1 / ((channels * num_codes) ** 0.5)
      self.codewords = self.create_parameter(
          shape=(num_codes, channels),
          default_initializer=nn.initializer.Uniform(-std, std),
      )
      self.scale = self.create_parameter(
          shape=(num_codes,),
          default_initializer=nn.initializer.Uniform(-1, 0),
      )
  
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 1 to create a new Encoding object from inherited base classes: nn with example: obj = Encoding(channels, num_codes)