code: def after_run(self, run_context, run_values):
      self._iter_count += 1
      if self._timer.should_trigger_for_step(self._iter_count):
          self._evaluate(run_context.session)
  
file_path: finetune/finetune/util/in_memory_finetune.py
imports: import os
  import traceback
  import sys
  from tensorflow.core.framework import summary_pb2
  from tensorflow.python.summary.writer import writer_cache
  import tensorflow
  import numpy
label_desc: Use image node_id 5 for calling the InMemoryFinetune obj's underlying member method code with example usage: obj.after_run(run_context, run_values) without return types