class_docstr: A dummy model with list of MLPs.
code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      x = torch.chunk(x, 2, dim=1)[0]
      for mlp in self.mlps:
          x = mlp(x)
      return x + torch.ones_like(x)
  
imports: from collections import defaultdict
  from typing import Dict
  import torch
  from torch.distributed._tensor.experimental.tp_transform import tensor_parallel_transformation
  from torch.distributed.tensor.parallel.style import ColwiseParallel, ParallelStyle, 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 2 for calling the MLPListModule obj's underlying member method code with example usage: obj.forward(x) and returns: unknown