code: def main(unused_argv):
      checkpoint_path = FLAGS.checkpoint
      sampler = CoconetSampleGraph(checkpoint_path)
  
      batch_size = 1
      decode_length = 4
      target_shape = [batch_size, decode_length, 46, 4]
      pianorolls = np.zeros(target_shape, dtype=np.float32)
      generated_piece = sampler.run(
          pianorolls, sample_steps=16, temperature=0.99
      )
      tf.logging.info(
          "num of notes in piece %d", np.sum(generated_piece)
      )
  
      tf.logging.info("Done.")
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import time
  from magenta.models.coconet import lib_graph
  from magenta.models.coconet import lib_hparams
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 5 for calling a global function with example usage: main(unused_argv) without return types