code: def predict(self, input_datas):
      outputs = []
  
      for data in input_datas:
          # 转换数据为Tensor
          data = paddle.to_tensor(data)
  
          # 模型前向计算
          cartoon = self.net(data)
  
          outputs.append(cartoon[0].numpy())
  
      outputs = np.concatenate(outputs, 0)
  
      return outputs
  
file_path: PaddleHub/modules/image/Image_gan/style_transfer/Photo2Cartoon/module.py
imports: import os
  import cv2
  import math
  import paddle
  import numpy
  import paddle.nn
  import paddlehub
  from Photo2Cartoon.model import ResnetGenerator
  from paddlehub.module.module import moduleinfo
label_desc: Use image node_id 4 for calling the Photo2Cartoon obj's underlying member method code with example usage: obj.predict(input_datas) and returns: outputs