code: def _write_image(self, run, tag, samples=2, description=None):
      subdir = os.path.join(self._logdir, run)
      writer = tf.summary.create_file_writer(subdir)
  
      with writer.as_default():
          data = tf.random.normal(shape=[samples, 8, 8, 1])
          tf.summary.image(
              tag,
              data,
              step=0,
              max_outputs=samples,
              description=description,
          )
          writer.flush()
      self._multiplexer.AddRunsFromDirectory(self._logdir)
  
imports: import argparse
  import collections.abc
  import os.path
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorboard import context
  from tensorboard.backend.event_processing import data_provider
  from tensorboard.backend.event_processing import plugin_event_multiplexer
  from tensorboard.data import provider
  from tensorboard.plugins import base_plugin
  from tensorboard.plugins.image import metadata
  from tensorboard.plugins.metrics import metrics_plugin
label_desc: Use image node_id 6 for calling the MetricsPluginTest obj's underlying member method code with example usage: obj._write_image(run, tag, samples, description) without return types