code: def download_resnet50_weights():
      if not os.path.exists(RESNET50_WEIGHTS_FILE):
          download_file(
              url="http://neupy.s3.amazonaws.com/tensorflow/imagenet-models/resnet50.hdf5",
              filepath=RESNET50_WEIGHTS_FILE,
              description="Downloading weights",
          )
  
      print(
          "File with ResNet-50 weights: {}".format(
              RESNET50_WEIGHTS_FILE
          )
      )
      return RESNET50_WEIGHTS_FILE
  
imports: import os
  from neupy import storage, architectures
  from imagenet_tools import CURRENT_DIR, FILES_DIR, load_image, print_top_n, download_file
label_desc: Use image node_id 1 for calling a global function with example usage: download_resnet50_weights() and returns: RESNET50_WEIGHTS_FILE