code: def broadcast_global_variables(root_rank):
      """Broadcasts all global variables from root rank to all other processes.
  
      Arguments:
          root_rank: Rank of the process from which global variables will be broadcasted
                     to all other processes.
      """
      return _impl.broadcast_global_variables(K, root_rank)
  
imports: import warnings
  from packaging import version
  import keras
  import keras.backend
  import tensorflow
  from horovod.tensorflow import init
  from horovod.tensorflow import shutdown
  from horovod.tensorflow import size, local_size, cross_size, rank, local_rank, cross_rank
  from horovod.tensorflow import is_initialized, start_timeline, stop_timeline
  from horovod.tensorflow import mpi_threads_supported, mpi_enabled, mpi_built
  from horovod.tensorflow import gloo_enabled, gloo_built
  from horovod.tensorflow import nccl_built, ddl_built, ccl_built, cuda_built, rocm_built
  from horovod.tensorflow import Average, Sum, Adasum
  from horovod.tensorflow.compression import Compression
  from horovod.tensorflow.mpi_ops import global_process_set
  from horovod.keras import callbacks, elastic
  import horovod._keras
label_desc: Use image node_id 3 for calling a global function with example usage: broadcast_global_variables(root_rank) and returns: _impl