code: def __init__(
      self, n_dim=512, n_position=256, N_max_character=25, n_class=37
  ):
      super(Prediction, self).__init__()
      self.pp = PP_layer(
          n_dim=n_dim,
          N_max_character=N_max_character,
          n_position=n_position,
      )
      self.pp_share = PP_layer(
          n_dim=n_dim,
          N_max_character=N_max_character,
          n_position=n_position,
      )
      self.w_vrm = nn.Linear(n_dim, n_class)  # output layer
      self.w_share = nn.Linear(n_dim, n_class)  # output layer
      self.nclass = n_class
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  from paddle import ParamAttr
  import paddle.nn
  import paddle.nn.functional
  from paddle.nn.initializer import Normal, XavierNormal
  import numpy
label_desc: Use image node_id 1 to create a new Prediction object from inherited base classes: nn with example: obj = Prediction(n_dim, n_position, N_max_character, n_class)