class_docstr: A class that handles the parameters of Tensor Tracer.
class_docstr_tok: ["A","class","that","handles","the","parameters","of","Tensor","Tracer","."]
docstr: Returns the integer list of a TensorTracer flag.
  
  Args:
    wanted_flag_name: the name of the flag we are looking for.
  
  Returns:
    the value of the flag.
  Raises:
    RuntimeError: If supposedly deadcode is reached.
docstr_tok: ["Returns","the","integer","list","of","a","TensorTracer","flag",".","Args",":","wanted_flag_name",":","the","name","of","the","flag","we","are","looking","for",".","Returns",":","the","value","of","the","flag",".","Raises",":","RuntimeError",":","If","supposedly","deadcode","is","reached","."]
code: def _flag_value_as_int_list(self, wanted_flag_name):
      """Returns the integer list of a TensorTracer flag.
  
      Args:
        wanted_flag_name: the name of the flag we are looking for.
  
      Returns:
        the value of the flag.
      Raises:
        RuntimeError: If supposedly deadcode is reached.
      """
      int_list = []
      found, flag_value = self.get_flag_value(wanted_flag_name)
  
      if found and flag_value:
          try:
              integer_values = flag_value.split(",")
              int_list = [int(int_val) for int_val in integer_values]
          except ValueError:
              logging.warning(
                  "Cannot convert %s to int for flag %s",
                  int_list,
                  wanted_flag_name,
              )
      return int_list
  
imports: import os
  import os.path
  import re
  from absl import flags
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 15 for calling the TTParameters obj's underlying member method code with example usage: obj._flag_value_as_int_list(wanted_flag_name) and returns: int_list