code: def report_metric_to_hypertune(metric_value, step, tag="Loss"):
      """Use hypertune to report metrics for hyperparameter tuning."""
      hpt = hypertune.HyperTune()
      hpt.report_hyperparameter_tuning_metric(
          hyperparameter_metric_tag=tag,
          metric_value=metric_value,
          global_step=step,
      )
  
file_path: ddsp/ddsp/training/cloud.py
imports: import os
  import re
  from absl import logging
  from google.cloud import storage
  import hypertune
label_desc: Use image node_id 3 for calling a global function with example usage: report_metric_to_hypertune(metric_value, step, tag) without return types