class_docstr: This class tests all member functions of crypten package
code: def test_batched_reduce(self) -> None:
      sizes = [(), (1,), (5,), (5, 5), (5, 5, 5)]
      for rank in range(self.world_size):
          tensors = [
              get_random_test_tensor(size=size) for size in sizes
          ]
          results = comm.get().reduce(tensors, rank, batched=True)
  
          if rank == self.rank:
              self.assertTrue(isinstance(results, list))
              for i, result in enumerate(results):
                  self.assertTrue(
                      (result == (tensors[i] * self.world_size)).all()
                  )
  
imports: import unittest
  import crypten
  import crypten.communicator
  import numpy
  import torch
  import torch.distributed
  import torch.nn
  import torch.nn.functional
  from crypten.common import serial
  from crypten.config import cfg
  from test.multiprocess_test_case import get_random_test_tensor, MultiProcessTestCase
label_desc: Use image node_id 14 for calling the TestCommunicator obj's underlying member method code with example usage: obj.test_batched_reduce() without return types