code: def reducescatter(value, name=None, op=Average):
      """
      Perform a reducescatter on a tensor-compatible value.
  
      Arguments:
          value: A tensor-compatible value to reduce and scatter.
                 The shape of the input must be identical across all ranks.
          name: Optional name for the constants created by this operation.
          op: The reduction operation to combine tensors across different ranks.
              Defaults to Average.
      """
      return _impl.reducescatter(K, value, name, op)
  
imports: import inspect
  import warnings
  from packaging import version
  import tensorflow
  from tensorflow import keras
  from horovod.common.util import is_version_greater_equal_than
  from horovod.tensorflow import init
  from horovod.tensorflow import shutdown
  from horovod.tensorflow import is_initialized, start_timeline, stop_timeline
  from horovod.tensorflow import size, local_size, cross_size, rank, local_rank, cross_rank
  from horovod.tensorflow import mpi_threads_supported, mpi_enabled, mpi_built
  from horovod.tensorflow import gloo_enabled, gloo_built
  from horovod.tensorflow.mpi_ops import ProcessSet, global_process_set, add_process_set, remove_process_set
  from horovod.tensorflow import nccl_built, ddl_built, ccl_built, cuda_built, rocm_built
  from horovod.tensorflow import Average, Sum
  from horovod.tensorflow.compression import Compression
  import horovod._keras
  from horovod.tensorflow.keras import callbacks, elastic
label_desc: Use image node_id 6 for calling a global function with example usage: reducescatter(value, name, op) and returns: _impl