class_docstr: Data Flow Status
  
  Simple class for recording how many data have been processed.
class_docstr_tok: ["Data","Flow","Status","Simple","class","for","recording","how","many","data","have","been","processed","."]
code: def __init__(self, batch_size, n_samples):
      self.step = 0
      self.epoch = 0
      self.current_iter = 0
      self.batch_size = batch_size
      self.n_samples = n_samples
  
imports: from __future__ import division, print_function, absolute_import
  import numpy
  import threading
  import tensorflow.compat.v1
  from .None import utils
label_desc: Use image node_id 1 to create a new DataFlowStatus object from inherited base classes: object with example: obj = DataFlowStatus(batch_size, n_samples)