code: def get_run_short_description(
      run_call_count, fetches, feed_dict, is_callable_runner=False
  ):
      """Get a short description of the run() call.
  
      Args:
        run_call_count: (int) Run call counter.
        fetches: Fetches of the `Session.run()` call. See doc of `Session.run()`
          for more details.
        feed_dict: Feeds to the `Session.run()` call. See doc of `Session.run()`
          for more details.
        is_callable_runner: (bool) whether a runner returned by
            Session.make_callable is being run.
  
      Returns:
        (str) A short description of the run() call, including information about
          the fetche(s) and feed(s).
      """
      if is_callable_runner:
          return "runner from make_callable()"
  
      description = "run #%d: " % run_call_count
  
      if isinstance(
          fetches,
          (tensor_lib.Tensor, ops.Operation, variables.Variable),
      ):
          description += (
              "1 fetch (%s); " % common.get_graph_element_name(fetches)
          )
      else:
          # Could be (nested) list, tuple, dict or namedtuple.
          num_fetches = len(common.get_flattened_names(fetches))
          if num_fetches > 1:
              description += "%d fetches; " % num_fetches
          else:
              description += "%d fetch; " % num_fetches
  
      if not feed_dict:
          description += "0 feeds"
      else:
          if len(feed_dict) == 1:
              for key in feed_dict:
                  description += "1 feed (%s)" % (
                      key
                      if isinstance(key, str)
                      or not hasattr(key, "name")
                      else key.name
                  )
          else:
              description += "%d feeds" % len(feed_dict)
  
      return description
  
imports: import math
  import numpy
  from tensorflow.python.debug.cli import command_parser
  from tensorflow.python.debug.cli import debugger_cli_common
  from tensorflow.python.debug.cli import tensor_format
  from tensorflow.python.debug.lib import common
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import gfile
label_desc: Use image node_id 10 for calling a global function with example usage: get_run_short_description(run_call_count, fetches, feed_dict, is_callable_runner) and returns: description, str