code: def parse_accelerator_arg(
      s: str, mode: str, suffix: str, validate_count: bool = True
  ):
      mode = mode.upper()
      assert mode in ("GPU", "TPU"), "Mode must be GPU or TPU."
  
      items = s.split("x")
  
      if len(items) != 2:
          raise argparse.ArgumentTypeError(
              with_advice_suffix(
                  mode,
                  "{} arg '{}' has no 'x' separator.\n{}".format(
                      mode, s, suffix
                  ),
              )
          )
  
      count_s, type_s = items
  
      count = None
      accelerator_type = None
  
      # Check that the number can parse at all.
      try:
          count = int(count_s)
      except ValueError:
          raise argparse.ArgumentTypeError(
              with_advice_suffix(
                  mode,
                  "The count '{}' isn't a number!\n{}".format(
                      count_s, suffix
                  ),
              )
          )
  
      # Validate that we have a valid GPU type.
      try:
          accel_dict = GPU if mode == "GPU" else TPU
          accelerator_type = accel_dict[type_s.upper()]
  
      except KeyError:
          all_types = list(map(lambda s: s.name, accel_dict))
          raise argparse.ArgumentTypeError(
              with_advice_suffix(
                  mode,
                  "'{}' isn't a valid {} type. Must be one of {}.\n".format(
                      type_s, mode, all_types
                  ),
              )
          )
  
      if validate_count:
          validate_accelerator_count(accelerator_type, count)
  
      return accelerator_type, count
  
imports: import argparse
  from enum import Enum
  from typing import Callable, List, NamedTuple, Optional, Set, Union
  import caliban.util
label_desc: Use image node_id 9 for calling a global function with example usage: parse_accelerator_arg(s, mode, suffix, validate_count) and returns: accelerator_type,  count