code: def __init__(self, num_layers, size):
      super().__init__()
      self.params = torch.nn.ParameterList(
          [
              torch.nn.Parameter(torch.rand(1, size) + 1)
              for _ in range(num_layers)
          ]
      )
  
imports: from contextlib import contextmanager
  import io
  from typing import Callable, Optional, Tuple
  import unittest
  import warnings
  import torch
  from torch.testing._internal import common_utils
  from apex.transformer.testing.distributed_test_base import NcclDistributedTestBase
label_desc: Use image node_id 1 to create a new SimpleModel object from inherited base classes: torch.nn with example: obj = SimpleModel(num_layers, size)