class_docstr: Basic idea pulled from variable.load. Possible this will change in 2.X so worth tracking what
  that fn changes too and mirror it here.
class_docstr_tok: ["Basic","idea","pulled","from","variable.load",".","Possible","this","will","change","in","2.X","so","worth","tracking","what","that","fn","changes","too","and","mirror","it","here","."]
code: def __init__(self):
      self.ops = []
      self.feed = dict()
  
imports: import os
  from concurrent.futures import ThreadPoolExecutor
  import logging
  import sys
  import re
  import joblib
  import numpy
  import tensorflow
  from tensorflow.compat.v1.train import SessionRunHook
  from tensorflow_estimator.python.estimator.early_stopping import _StopOnPredicateHook
  from finetune.errors import FinetuneError
  from finetune.config import get_config
  from finetune.util.metrics import read_eval_metrics
label_desc: Use image node_id 1 to create a new BatchedVarLoad object  with example: obj = BatchedVarLoad()