If you are a TensorFlow Python user, you can try this format by setting the
`experimental_image_format` option:

```
tf.savedmodel.save(
    model, path,
    options=tf.saved_model.SaveOptions(experimental_image_format=True)
)
```

When this option is enabled, exported SavedModels with proto size > 2GB will
automatically save with the new format (`.cpb` instead of `.pb`).

<!-- **Compatibility** -->

  if not module_ctor:
    print("Expected ModuleName to be one of:", MODULE_CTORS.keys())
    return 2
  os.makedirs(export_path)

  tf_module = module_ctor()
  if version == 2:
    options = save_options.SaveOptions(save_debug_info=True)
    saved_model.save(tf_module, export_path, options=options)
  else:
    builder = saved_model.builder.SavedModelBuilder(export_path)
    builder.add_meta_graph_and_variables(tf_module, ["serve"])