code: def __init__(self, in_dim, num_units, init_scale=0.1):
      super().__init__()
      self.W = self.create_parameter(
          shape=[in_dim, num_units],
          default_initializer=nn.initializer.Constant(0.0),
      )
      self.b = self.create_parameter(
          shape=[
              num_units,
          ],
          is_bias=True,
          default_initializer=nn.initializer.Constant(0.0),
      )
  
imports: import math
  from inspect import isfunction
  import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 1 to create a new NIN object from inherited base classes: nn with example: obj = NIN(in_dim, num_units, init_scale)