code: def setUp(self):
      self.comm = create_communicator("naive")
      batchsize = self.comm.size * self.batchsize
  
      np.random.seed(0)
      self.mb_locs = np.random.uniform(
          -10, 10, size=(batchsize, self.n_bbox, 4)
      ).astype(np.float32)
      self.mb_confs = np.random.uniform(
          -50, 50, size=(batchsize, self.n_bbox, self.n_class)
      ).astype(np.float32)
      self.gt_mb_locs = np.random.uniform(
          -10, 10, size=(batchsize, self.n_bbox, 4)
      ).astype(np.float32)
      self.gt_mb_labels = np.random.randint(
          self.n_class, size=(batchsize, self.n_bbox)
      ).astype(np.int32)
  
      self.mb_locs_local = self.comm.mpi_comm.scatter(
          self.mb_locs.reshape(
              (self.comm.size, self.batchsize, self.n_bbox, 4)
          )
      )
      self.mb_confs_local = self.comm.mpi_comm.scatter(
          self.mb_confs.reshape(
              (
                  self.comm.size,
                  self.batchsize,
                  self.n_bbox,
                  self.n_class,
              )
          )
      )
      self.gt_mb_locs_local = self.comm.mpi_comm.scatter(
          self.gt_mb_locs.reshape(
              (self.comm.size, self.batchsize, self.n_bbox, 4)
          )
      )
      self.gt_mb_labels_local = self.comm.mpi_comm.scatter(
          self.gt_mb_labels.reshape(
              (self.comm.size, self.batchsize, self.n_bbox)
          )
      )
  
imports: from __future__ import division
  import numpy
  import six
  import unittest
  import chainer
  from chainer.backends import cuda
  import chainer.functions
  from chainer import testing
  from chainermn import create_communicator
  from chainercv.links.model.ssd import multibox_loss
  from chainercv.utils.testing import attr
label_desc: Use image node_id 1 for calling the TestMultiNodeMultiboxLoss obj's underlying member method code with example usage: obj.setUp() without return types