code: def __init__(self, batch, data_shape, batch_size):
      super(CalibIter, self).__init__(batch_size)
      self.label_shape = (batch_size,)
      self.data_shape = data_shape
      if isinstance(data_shape, tuple):
          self.provide_data = [("data", data_shape)]
      else:
          self.provide_data = data_shape
      self.provide_label = []
      self.batch = batch
  
imports: import time
  import gc
  import sys
  import mxnet
  from mxnet.gluon import nn
  from mxnet.contrib import quantization
label_desc: Use image node_id 1 to create a new CalibIter object from inherited base classes: mx.io with example: obj = CalibIter(batch, data_shape, batch_size)