code: def process_set_included_op(process_set_id=0, name=None):
      """An op that 0 or 1 depending on whether the current process is
      included in the specified process set or an error code:
      HOROVOD_PROCESS_SET_ERROR_INIT if Horovod is not initialized,
      HOROVOD_PROCESS_SET_ERROR_UNKNOWN_SET if the process set is unknown.
  
      This operation determines the return value at the graph execution time,
      rather than at the graph construction time, and so allows for a graph to be
      constructed in a different environment than where it will be executed.
  
      Returns:
        An integer scalar with value 0, 1, or an error code.
      """
      return MPI_LIB.horovod_process_set_included(
          process_set_id=process_set_id, name=name
      )
  
imports: import re
  import tensorflow
  from tensorflow.python.framework import load_library
  from tensorflow.python.framework import ops
  from tensorflow.python.platform import resource_loader
  from horovod.common.util import check_installed_version, get_ext_suffix, get_average_backwards_compatibility_fun, gpu_available, num_rank_is_power_2
  from horovod.common.basics import HorovodBasics
  from horovod.common.process_sets import _setup
  from horovod.common.process_sets import ProcessSet, global_process_set, add_process_set, remove_process_set, _temp_process_set_object
  from horovod.tensorflow.util import _executing_eagerly
label_desc: Use image node_id 24 for calling a global function with example usage: process_set_included_op(process_set_id, name) and returns: MPI_LIB