code: def calculate_batched_alpha(num_batches, alpha):
      if num_batches < 1:
          raise ValueError(
              "num_batches must be >=1, num_batches={}".format(
                  num_batches
              )
          )
      elif num_batches > 1:
          batched_alpha = alpha / (math.e * math.log(num_batches))
      else:
          batched_alpha = alpha
      return batched_alpha
  
imports: import math
  import numpy
  import random
  import scipy.sparse
  import six
  import tensorflow
  from weakref import WeakKeyDictionary
  from .input_utils import create_tensorrec_dataset_from_sparse_matrix, create_tensorrec_dataset_from_tfrecord
label_desc: Use image node_id 2 for calling a global function with example usage: calculate_batched_alpha(num_batches, alpha) and returns: batched_alpha