code: def infer_likemodel(
      self, input_handle, output_handle, predictor, data
  ):
      input_handle.reshape(data.shape)
      input_handle.copy_from_cpu(data.numpy())
      predictor.run()
      return paddle.to_tensor(output_handle.copy_to_cpu())
  
imports: import os
  import sys
  import codecs
  import warnings
  import argparse
  import yaml
  import functools
  import numpy
  from paddle.inference import create_predictor, PrecisionType
  from paddle.inference import Config
  import paddle
  import medicalseg.transforms
  from medicalseg.cvlibs import manager
  from medicalseg.utils import get_sys_env, logger, get_image_list
  from medicalseg.utils.visualize import get_pseudo_color_map
  from medicalseg.core.infer import sliding_window_inference
  from tools import HUnorm, resample
  from tools import Prep
label_desc: Use image node_id 2 for calling the ModelLikeInfer obj's underlying member method code with example usage: obj.infer_likemodel(input_handle, output_handle, predictor, data) and returns: paddle