code: def decompress(args):
      """Decompresses an image."""
      # Load the model and determine the dtypes of tensors required to decompress.
      model = tf.keras.models.load_model(args.model_path)
      dtypes = [t.dtype for t in model.decompress.input_signature]
  
      # Read the shape information and compressed string from the binary file,
      # and decompress the image using the model.
      with open(args.input_file, "rb") as f:
          packed = tfc.PackedTensors(f.read())
      tensors = packed.unpack(dtypes)
      x_hat = model.decompress(*tensors)
  
      # Write reconstructed image out as a PNG file.
      write_png(args.output_file, x_hat)
  
imports: import argparse
  import functools
  import glob
  import sys
  from absl import app
  from absl.flags import argparse_flags
  import tensorflow
  import tensorflow_compression
  import tensorflow_datasets
label_desc: Use image node_id 9 for calling a global function with example usage: decompress(args) without return types