class_docstr: Transform model to combine embeddings and features.
      
code: def __call__(self, feats, embs):
      x = paddle.concat([feats, embs], axis=-1)
      return self.linear(x)
  
imports: import os
  import json
  import math
  import warnings
  import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from pgl.utils.shared_embedding import SharedEmbedding
  from models.score_funcs import TransEScore, RotatEScore, DistMultScore, ComplExScore, QuatEScore, OTEScore
  from models.init_func import InitFunction
  from utils import uniform, timer_wrapper
label_desc: Use image node_id 2 for calling the Transform obj's underlying member method code with example usage: obj.__call__(feats, embs) and returns: self