class_docstr: A revised version of LoggingTensorHook to use during evaluation.
  
  This version supports being reset and increments `_iter_count` before run
  instead of after run.
code: def begin(self):
      # Reset timer.
      self._timer.update_last_triggered_step(0)
      super(EvalLoggingTensorHook, self).begin()
  
file_path: magenta/magenta/models/shared/events_rnn_train.py
imports: import os
  import tempfile
  from magenta.models.shared import sequence_generator_bundle
  import tensorflow.compat.v1
  import tf_slim
label_desc: Use image node_id 1 for calling the EvalLoggingTensorHook obj's underlying member method code with example usage: obj.begin() without return types