code: def __init__(self, in_features, out_features):
      super().__init__()
      self.linear = torch.nn.Linear(in_features, out_features)
  
file_path: ColossalAI/tests/test_auto_parallel/test_tensor_shard/test_bias_addition_forward.py
imports: import pytest
  import torch
  from colossalai.device.device_mesh import DeviceMesh
  from colossalai.initialize import launch
  from colossalai.logging import disable_existing_loggers
  from colossalai.testing import assert_close, rerun_if_address_is_in_use, run_on_environment_flag, spawn
label_desc: Use image node_id 1 to create a new LinearModel object from inherited base classes: torch.nn with example: obj = LinearModel(in_features, out_features)