code: def clean_english_str_tf(input_str):
      """Clean English string with tensorflow oprations."""
      # pylint: disable=anomalous-backslash-in-string
      string = tf.regex_replace(
          input_str, r"[^A-Za-z0-9(),!?\'\`<>/]", " "
      )
      string = tf.regex_replace(string, "'s", " 's")
      string = tf.regex_replace(string, "'ve", " 've")
      string = tf.regex_replace(string, "n't", " n't")
      string = tf.regex_replace(string, "'re", " 're")
      string = tf.regex_replace(string, "'d", " 'd")
      string = tf.regex_replace(string, "'ll", " 'll")
      string = tf.regex_replace(string, ",", " , ")
      string = tf.regex_replace(string, "!", " ! ")
      string = tf.regex_replace(string, "\(", " ( ")
      string = tf.regex_replace(string, "\)", " ) ")
      string = tf.regex_replace(string, "\?", " ? ")
      string = tf.regex_replace(string, "\s{2,}", " ")
      string = tf.string_strip(string)
      string = py_x_ops.str_lower(string)
      return string
  
file_path: delta/delta/data/preprocess/text_ops.py
imports: import delta.compat
  from absl import logging
  from delta import utils
  from core.ops import py_x_ops
  from delta.data.utils import read_lines_from_text_file
label_desc: Use image node_id 4 for calling a global function with example usage: clean_english_str_tf(input_str) and returns: string