code: def __init__(self):
      super(MlpModel, self).__init__()
      self.linear1 = nn.Linear(123, 253)
      self.linear_drop = nn.Linear(253, 253)
      self.linear2 = nn.Linear(253, 512)
  
file_path: colossalai/tests/test_zero/test_low_level/test_zero1_2.py
imports: import copy
  import pytest
  import torch
  import torch.nn
  from torch.nn.parallel import DistributedDataParallel
  from torch.testing import assert_close
  import colossalai
  from colossalai.testing import parameterize, rerun_if_address_is_in_use, spawn
  from colossalai.testing.random import seed_all
  from colossalai.zero import LowLevelZeroOptimizer
label_desc: Use image node_id 1 to create a new MlpModel object from inherited base classes: nn with example: obj = MlpModel()