code: def broadcast(backend, value, root_rank, name):
      return _eval(
          backend,
          hvd.broadcast(tf.constant(value, name=name), root_rank),
      )
  
file_path: horovod/horovod/_keras/__init__.py
imports: import os
  from packaging import version
  import horovod.tensorflow
  import tensorflow
  from horovod.tensorflow.gradient_aggregation import LocalGradientAggregationHelper
  from horovod.tensorflow.gradient_aggregation_eager import LocalGradientAggregationHelperEager
  from horovod.tensorflow.mpi_ops import rank, size_op
label_desc: Use image node_id 5 for calling a global function with example usage: broadcast(backend, value, root_rank, name) and returns: _eval