code: def test_e2e(self, compile, model_type):
      self._run_e2e_test(compile, model_type)
  
imports: import time
  from enum import auto, Enum
  import torch
  import torch.distributed
  import torch.distributed.checkpoint
  import torch.nn
  import torch.nn.functional
  from torch.distributed._tensor.device_mesh import init_device_mesh
  from torch.distributed.checkpoint.filesystem import _FileSystemCheckpointer
  from torch.distributed.checkpoint.state_dict import _patch_model_state_dict, _patch_optimizer_state_dict, get_state_dict
  from torch.distributed.distributed_c10d import ReduceOp
  from torch.distributed.fsdp import FullyShardedDataParallel
  from torch.distributed.fsdp.api import ShardingStrategy
  from torch.distributed.tensor.parallel import ColwiseParallel, parallelize_module, RowwiseParallel
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests
  from torch.testing._internal.distributed._tensor.common_dtensor import DTensorTestBase, skip_if_lt_x_gpu, with_comms
  from torch.testing._internal.distributed.checkpoint_utils import with_temp_dir
  from torch.testing._internal.distributed.common_state_dict import VerifyStateDictMixin
label_desc: Use image node_id 4 for calling the TestE2ESaveAndLoad obj's underlying member method code with example usage: obj.test_e2e(compile, model_type) without return types