code: def get_real_image(im_height, im_width):
      repo_base = "https://github.com/dmlc/web-data/raw/main/tensorflow/models/InceptionV1/"
      img_name = "elephant-299.jpg"
      image_url = os.path.join(repo_base, img_name)
      img_path = download.download_testdata(
          image_url, img_name, module="data"
      )
      image = Image.open(img_path).resize((im_height, im_width))
      x = np.array(image).astype("uint8")
      data = np.reshape(x, (1, im_height, im_width, 3))
      return data
  
imports: from __future__ import absolute_import, print_function
  from hashlib import md5
  from itertools import zip_longest, combinations
  import os
  from typing import Tuple
  import math
  import numpy
  from PIL import Image
  import tvm
  from tvm import relay
  from tvm.contrib import utils, graph_executor, download
  from tvm.relay.op.contrib import partition_for_ethosn
  from tvm.driver.tvmc.target import parse_target
  from .None import _infrastructure
label_desc: Use image node_id 1 for calling a global function with example usage: get_real_image(im_height, im_width) and returns: data