code: def compress_and_decompress(tensor, config):
      packed_data = compress(tensor, config)
      return decompress(packed_data, config)
  
imports: import dataclasses
  import torch
  import numpy
  from flexgen.pytorch_backend import TorchTensor, TorchDevice, DeviceType, general_copy, fix_recursive_import
  from flexgen.utils import np_dtype_to_torch_dtype
label_desc: Use image node_id 7 for calling a global function with example usage: compress_and_decompress(tensor, config) and returns: decompress