code: def reset(self):
      updates = [
          tv.assign(tf.zeros_like(tv))
          for tv in self.accum_vars.values()
      ]
      updates.append(
          self.total_loss.assign(tf.zeros(shape=[], dtype=tf.float32))
      )
      updates.append(
          self.count_loss.assign(tf.zeros(shape=[], dtype=tf.float32))
      )
      with tf.control_dependencies(updates):
          return tf.no_op()
  
file_path: gpt-2-simple/gpt_2_simple/src/accumulate.py
imports: import argparse
  import json
  import os
  import numpy
  import tensorflow
  import time
label_desc: Use image node_id 2 for calling the AccumulatingOptimizer obj's underlying member method code with example usage: obj.reset() and returns: tf