code: def test_prepare_module_input(self):
      module = DummyModule()
      device_mesh = DeviceMesh(
          self.device_type, list(range(self.world_size))
      )
      parallelize_module(
          module,
          device_mesh,
          PrepareModuleInput(
              input_layouts=Shard(0), desired_input_layouts=Replicate()
          ),
      )
      inp = torch.rand(5, 7, device=self.device_type)
      output = (
          module(inp).redistribute(device_mesh, [Shard(0)]).to_local()
      )
      self.assertEqual(inp, output)
  
imports: from collections import OrderedDict
  import torch
  from torch.distributed._tensor import DeviceMesh, DTensor, Replicate, Shard
  from torch.distributed.tensor.parallel._utils import _create_1d_device_mesh
  from torch.distributed.tensor.parallel.api 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, MLPModule, with_comms
label_desc: Use image node_id 10 for calling the TensorParallelAPITests obj's underlying member method code with example usage: obj.test_prepare_module_input() without return types