code: def monitor_int(metric_name, value):
      if not enable_metrics:
          return
      else:
          if not _METRICS_MAPPING:
              _init()
          metric = _METRICS_MAPPING[metric_name]
          metric.get_cell().set(value)
  
file_path: tensorflow-upstream/tensorflow/python/distribute/coordinator/metric_utils.py
imports: import time
  from tensorflow.python.eager import monitoring
  from tensorflow.python.util import tf_contextlib
label_desc: Use image node_id 3 for calling a global function with example usage: monitor_int(metric_name, value) without return types