code: def _compare_module(
      self,
      local_module,
      dist_module,
      inp_size,
      rank0_only=True,
      rowwise=False,
  ):
      LR = 0.25  # the learning rate we use for testing
      local_optim = torch.optim.SGD(local_module.parameters(), lr=LR)
      dist_optim = torch.optim.SGD(dist_module.parameters(), lr=LR)
      torch.manual_seed(0)
      inp = torch.rand(*inp_size, device=self.device_type)
      self._compare_params(local_module, dist_module, rank0_only)
  
      # check forward correctness
      local_output = local_module(inp)
      inp = (
          inp.chunk(self.world_size, dim=-1)[self.rank]
          if rowwise
          else inp
      )
      dist_output = dist_module(inp)
      dist_output = (
          dist_output.redistribute(
              dist_output.device_mesh, [Replicate()]
          ).to_local()
          if isinstance(dist_output, DTensor)
          else dist_output
      )
      self.assertEqual(local_output, dist_output)
  
      local_output.sum().backward()
      dist_output.sum().backward()
  
      # check backward and ensure gradients are same
      self._compare_params(
          local_module, dist_module, rank0_only, rowwise, True
      )
  
      local_optim.step()
      dist_optim.step()
      self._compare_params(
          local_module, dist_module, rank0_only, rowwise
      )
  
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 5 for calling the TensorParallelAPITests obj's underlying member method code with example usage: obj._compare_module(local_module, dist_module, inp_size, rank0_only, rowwise) without return types