code: def run():
      """Runs training steps with a mesh summary."""
      # Camera and scene configuration.
      config_dict = {"camera": {"cls": "PerspectiveCamera", "fov": 75}}
  
      # Read sample PLY file.
      vertices, colors, faces = demo_utils.read_ascii_ply(
          DEMO_PLY_MESH_PATH
      )
  
      # Add batch dimension.
      vertices = np.expand_dims(vertices, 0)
      faces = np.expand_dims(faces, 0)
      colors = np.expand_dims(colors, 0)
  
      # Create summary writer.
      writer = tf.summary.create_file_writer(FLAGS.logdir)
  
      with writer.as_default():
          for step in range(_MAX_STEPS):
              train_step(vertices, faces, colors, config_dict, step)
  
file_path: tensorboard/tensorboard/plugins/mesh/mesh_demo.py
imports: from absl import app
  from absl import flags
  import numpy
  import tensorflow
  from tensorboard.plugins.mesh import summary_v2
  from tensorboard.plugins.mesh import demo_utils
label_desc: Use image node_id 2 for calling a global function with example usage: run() without return types