code: def _batchnorm_scaling_terms_only(self, inp):
      return tf.nn.batch_normalization(
          inp,
          scale=self.reshaped_gamma,
          offset=0.0,
          mean=0.0,
          variance=self.reshaped_var,
          variance_epsilon=self.epsilon,
      )
  
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 4 for calling the BatchNormalization obj's underlying member method code with example usage: obj._batchnorm_scaling_terms_only(inp) and returns: tf