code: def broadcast(value, root_rank, name=None):
      """
      Perform a broadcast on a tensor-compatible value.
      Arguments:
          value: A tensor-compatible value to reduce.
                 The shape of the input must be identical across all ranks.
          root_rank: Rank of the process from which global variables will be
                     broadcasted to all other processes.
          name: Optional name for the constants created by this operation.
      """
      return _impl.broadcast(K, value, root_rank, name)
  
file_path: byteps/byteps/tensorflow/keras/__init__.py
imports: import inspect
  import tensorflow
  from distutils.version import LooseVersion
  from byteps.tensorflow import init
  from byteps.tensorflow import shutdown
  from byteps.tensorflow import size
  from byteps.tensorflow import local_size
  from byteps.tensorflow import rank
  from byteps.tensorflow import local_rank
  from byteps.tensorflow import Compression
  import byteps._keras
  from byteps.tensorflow.keras import callbacks
label_desc: Use image node_id 4 for calling a global function with example usage: broadcast(value, root_rank, name) and returns: _impl