code: def __init__(self, dim: int, layers: int):
      super().__init__()
      self.layers = torch.nn.ModuleList()
  
      for _ in range(layers):
          self.layers.append(nn.Linear(dim, dim, bias=False))
  
imports: import argparse
  import os
  import warnings
  import torch
  import torch.distributed.rpc
  import torch.multiprocessing
  from torch import nn
  from torch._C._distributed_rpc import _is_current_rpc_agent_set
  from colossalai.legacy import launch
  from colossalai.legacy.pipeline.pipeline_process_group import ppg
  from colossalai.logging import disable_existing_loggers
label_desc: Use image node_id 1 to create a new MLP object from inherited base classes: nn with example: obj = MLP(dim, layers)