code: def forward(self, x):
      return self.l2(
          self.relu(self.checkpoint2(self.checkpoint1(self.l1(x))))
      )
  
imports: import contextlib
  import sys
  from copy import deepcopy
  from functools import partial
  import torch
  import torch.distributed
  import torch.nn
  from torch.distributed.algorithms._checkpoint.checkpoint_wrapper import checkpoint_wrapper, offload_wrapper
  from torch.distributed.fsdp import ShardingStrategy
  from torch.distributed.fsdp.fully_sharded_data_parallel import CPUOffload, FullyShardedDataParallel
  from torch.testing._internal.common_distributed import skip_if_lt_x_gpu
  from torch.testing._internal.common_fsdp import _maybe_wrap_fsdp, FSDPTest
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, TEST_WITH_DEV_DBG_ASAN
  from torch.utils.checkpoint import checkpoint
label_desc: Use image node_id 2 for calling the TestModel obj's underlying member method code with example usage: obj.forward(x) and returns: self