code: def forward(self, x):
      return self.net3(self.net2(self.relu(self.net1(x))))
  
file_path: pytorch/test/distributed/checkpoint/test_tp_checkpoint.py
imports: from copy import deepcopy
  import torch
  import torch.distributed.checkpoint
  from torch.distributed._tensor import init_device_mesh
  from torch.distributed.checkpoint.default_planner import DefaultLoadPlanner, DefaultSavePlanner
  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, MLPModule, skip_if_lt_x_gpu, with_comms
  from torch.testing._internal.distributed.checkpoint_utils import with_temp_dir
label_desc: Use image node_id 2 for calling the UnevenShardedModel obj's underlying member method code with example usage: obj.forward(x) and returns: self