code: def predict(self, image):
      paddle.disable_static()
      image_tensor = paddle.to_tensor(
          image[np.newaxis, :, :, :], dtype="float32"
      )
      pos = self.network(image_tensor)
      pos = pos.numpy()
      pos = np.squeeze(pos)
      return pos * self.MaxPos
  
imports: import numpy
  import paddle
  from .pd_model.x2paddle_code import TFModel
label_desc: Use image node_id 2 for calling the PosPrediction obj's underlying member method code with example usage: obj.predict(image) and returns: unknown