code: def __init__(self, config={}):
      super().__init__()
      dim = config["dim"]
      layers = config["layers"]
      self.layers = torch.nn.ModuleList()
  
      for _ in range(layers):
          self.layers.append(torch.nn.Linear(dim, dim, bias=False))
  
file_path: ColossalAI/tests/test_fx/test_pipeline/test_topo/topo_utils.py
imports: import random
  import numpy
  import torch
  from torch.fx import GraphModule
  from colossalai.fx import ColoTracer
  from colossalai.fx.passes.adding_split_node_pass import balanced_split_pass, split_with_split_nodes_pass
  from colossalai.legacy.pipeline.middleware import Partition, Topo
  from colossalai.legacy.pipeline.middleware.adaptor import get_fx_topology
label_desc: Use image node_id 1 to create a new MLP object from inherited base classes: torch.nn with example: obj = MLP(config)