code: def check_serialize_deserialize(batch):
      shm_chunk = BufShmChunk.allocate("chunk_0", 100)
      with closing(shm_chunk) as shm_chunk:
          writer = SharedBatchWriter(shm_chunk, batch)
          batch_meta = SharedBatchMeta.from_writer(writer)
          deserialized_batch = deserialize_batch(shm_chunk, batch_meta)
          assert len(batch) == len(
              deserialized_batch
          ), "Lengths before and after should be the same"
          for i in range(len(batch)):
              np.testing.assert_array_equal(
                  batch[i], deserialized_batch[i]
              )
  
imports: import os
  import multiprocessing
  import socket
  from contextlib import closing, contextmanager
  import numpy
  from nvidia.dali._multiproc.shared_batch import BufShmChunk, SharedBatchWriter, SharedBatchMeta, deserialize_batch
  from nvidia.dali._multiproc.shared_queue import ShmQueue
  from nvidia.dali._multiproc.messages import ShmMessageDesc
  from test_utils import RandomlyShapedDataIterator
  from nose_utils import raises
label_desc: Use image node_id 1 for calling a global function with example usage: check_serialize_deserialize(batch) without return types