code: def test_implicit_replication(self):
      mesh = init_device_mesh(self.device_type, (self.world_size,))
      local_tensor1 = torch.ones(4, 3)
      sharded_dtensor = DTensor.from_local(
          local_tensor1, mesh, [Shard(0)]
      )
  
      from torch.distributed._tensor.experimental import (
          implicit_replication,
      )
  
      with implicit_replication():
          out_dt = sharded_dtensor + torch.ones(
              3, device=self.device_type
          )
          self.assertEqual(out_dt.placements, [Shard(0)])
          self.assertEqual(out_dt.shape, (4 * self.world_size, 3))
          local_shard = out_dt.to_local()
          self.assertEqual(local_shard.shape, (4, 3))
          self.assertEqual(
              local_shard, torch.ones(4, 3) + torch.ones(3)
          )
  
imports: import torch
  import torch.nn.functional
  from numpy.testing import assert_array_equal
  from torch.distributed._functional_collectives import AsyncCollectiveTensor
  from torch.distributed._tensor import DeviceMesh, distribute_tensor, DTensor, init_device_mesh
  from torch.distributed._tensor.placement_types import _Partial, Replicate, Shard
  from torch.distributed.tensor.parallel import ColwiseParallel, parallelize_module, RowwiseParallel
  from torch.testing._internal.common_utils import run_tests
  from torch.testing._internal.distributed._tensor.common_dtensor import DTensorTestBase, with_comms
label_desc: Use image node_id 11 for calling the DTensorMeshTest obj's underlying member method code with example usage: obj.test_implicit_replication() without return types