code: def test_prepare_module_output(self):
      mesh = init_device_mesh(self.device_type, (self.world_size,))
  
      tensor = torch.ones(8, 16, device=self.device_type)
      expected_tensor = torch.ones(
          8 // self.world_size, 16, device=self.device_type
      )
      prepare_out_style = PrepareModuleOutput(
          output_layouts=Replicate(), desired_output_layouts=Shard(0)
      )
  
      model = nn.Identity()
      chunk_mod = parallelize_module(model, mesh, prepare_out_style)
      output = chunk_mod(tensor)
      self.assertEqual(output, expected_tensor)
  
file_path: pytorch/test/distributed/tensor/parallel/test_tp_style.py
imports: from copy import deepcopy
  import torch
  import torch.nn
  from torch.distributed._tensor import Replicate, Shard, init_device_mesh
  from torch.distributed._tensor.debug import CommDebugMode
  from torch.distributed.tensor.parallel import parallelize_module
  from torch.distributed.tensor.parallel.style import ColwiseParallel, PrepareModuleInput, PrepareModuleOutput, RowwiseParallel
  from torch.testing._internal.common_utils import run_tests
  from torch.testing._internal.distributed._tensor.common_dtensor import DTensorTestBase, with_comms, NUM_DEVICES
label_desc: Use image node_id 6 for calling the TensorParallelStyleTest obj's underlying member method code with example usage: obj.test_prepare_module_output() without return types