code: def decompress(input_file, output_file):
      """Decompresses a TFCI file and writes a PNG file."""
      if not output_file:
          output_file = input_file + ".png"
      with tf.io.gfile.GFile(input_file, "rb") as f:
          packed = tfc.PackedTensors(f.read())
      receiver = instantiate_model_signature(packed.model, "receiver")
      tensors = packed.unpack([t.dtype for t in receiver.inputs])
      # Find potential RD parameter and turn it back into a scalar.
      for i, t in enumerate(tensors):
          if t.dtype.is_floating and t.shape == (1,):
              tensors[i] = tf.squeeze(t, 0)
      (output_image,) = receiver(*tensors)
      write_png(output_file, output_image)
  
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 7 for calling a global function with example usage: decompress(input_file, output_file) without return types