code: def main(args):
      # Command line can override these defaults.
      global URL_PREFIX, METAGRAPH_CACHE
      URL_PREFIX = args.url_prefix
      METAGRAPH_CACHE = args.metagraph_cache
  
      # Invoke subcommand.
      if args.command == "compress":
          compress(
              args.model,
              args.input_file,
              args.output_file,
              args.rd_parameter,
              args.rd_parameter_tolerance,
              args.target_bpp,
              args.bpp_strict,
          )
      elif args.command == "decompress":
          decompress(args.input_file, args.output_file)
      elif args.command == "models":
          list_models()
      elif args.command == "tensors":
          list_tensors(args.model)
      elif args.command == "dump":
          if not args.tensor:
              raise ValueError(
                  "Must provide at least one tensor to dump."
              )
          dump_tensor(
              args.model, args.tensor, args.input_file, args.output_file
          )
  
imports: import argparse
  import io
  import os
  import sys
  import urllib
  from absl import app
  from absl.flags import argparse_flags
  import numpy
  import tensorflow
  import tensorflow_compression
label_desc: Use image node_id 12 for calling a global function with example usage: main(args) without return types