code: def train_step(vertices, faces, colors, config_dict, step):
      """Executes summary as a train step."""
      # Change colors over time.
      t = float(step) / _MAX_STEPS
      transformed_colors = t * (255 - colors) + (1 - t) * colors
      mesh_summary.mesh(
          "mesh_color_tensor",
          vertices=vertices,
          faces=faces,
          colors=transformed_colors,
          config_dict=config_dict,
          step=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 1 for calling a global function with example usage: train_step(vertices, faces, colors, config_dict, step) without return types