code: def allgather_object(obj, name=None):
      """
      Serializes and allgathers an object from all other processes.
  
      Arguments:
          obj: An object capable of being serialized without losing any context.
          name: Optional name to use during allgather, will default to the class
                type.
  
      Returns:
          The list of objects that were allgathered across all ranks.
      """
      if name is None:
          name = type(obj).__name__
  
      def load(byte_array):
          buf = io.BytesIO(byte_array.tobytes())
          return cloudpickle.load(buf)
  
      b = io.BytesIO()
      cloudpickle.dump(obj, b)
  
      t = torch.ByteTensor(bytearray(b.getvalue()))
      sz = torch.IntTensor([t.shape[0]])
  
      sizes = allgather(sz, name=name + ".sz").numpy()
      gathered = allgather(t, name=name + ".t").numpy()
  
      def select(i):
          start = sum(sizes[:i])
          end = start + sizes[i]
          return gathered[start:end]
  
      return [load(select(i)) for i in range(size())]
  
file_path: horovod/horovod/torch/functions.py
imports: import collections
  import io
  from collections.abc import Iterable
  import cloudpickle
  import torch
  from horovod.torch.mpi_ops import allgather, broadcast_, broadcast_async_
  from horovod.torch.mpi_ops import synchronize
  from horovod.torch.mpi_ops import rank, size
  from horovod.torch.mpi_ops import ProcessSet, global_process_set
label_desc: Use image node_id 4 for calling a global function with example usage: allgather_object(obj, name) and returns: unknown, cloudpickle, gathered