code: def autoformat_padding(padding):
      if padding in ["same", "SAME", "valid", "VALID"]:
          return str.upper(padding)
      else:
          raise Exception(
              "Unknown padding! Accepted values: 'same', 'valid'."
          )
  
imports: from __future__ import division, print_function, absolute_import
  import six
  import string
  import random
  import numpy
  import tensorflow.compat.v1
  from tensorflow.python import pywrap_tensorflow
  import tflearn.variables
label_desc: Use image node_id 28 for calling a global function with example usage: autoformat_padding(padding) and returns: str