code: def _get_mxts_increments_for_inputs(self):
      # self.reshaped_gamma and reshaped_std are created during
      # the call to _build_activation_vars in _built_fwd_pass_vars
      std = tf.sqrt(self.reshaped_var + self.epsilon)
      pos_mxts_increments = self.get_pos_mxts() * (
          self.reshaped_gamma
          * (hf.gt_mask(self.reshaped_gamma, 0.0))
          / std
      ) + self.get_neg_mxts() * (
          self.reshaped_gamma
          * (hf.lt_mask(self.reshaped_gamma, 0.0))
          / std
      )
      neg_mxts_increments = self.get_pos_mxts() * (
          self.reshaped_gamma
          * (hf.lt_mask(self.reshaped_gamma, 0.0))
          / std
      ) + self.get_neg_mxts() * (
          self.reshaped_gamma
          * (hf.gt_mask(self.reshaped_gamma, 0.0))
          / std
      )
      return pos_mxts_increments, neg_mxts_increments
  
imports: from __future__ import division
  from __future__ import print_function
  from __future__ import absolute_import
  import sys
  import os
  import numpy
  from collections import namedtuple
  from collections import OrderedDict
  from collections import defaultdict
  import deeplift.util
  from .helper_functions import pseudocount_near_zero, add_val_to_col
  from .None import helper_functions
  from .core import SingleInputMixin, Node
  import tensorflow
label_desc: Use image node_id 6 for calling the BatchNormalization obj's underlying member method code with example usage: obj._get_mxts_increments_for_inputs() and returns: pos_mxts_increments,  neg_mxts_increments