code: def __init__(self, hidden_dim, empty_grad=False):
      super(SimpleModel, self).__init__()
      self.linear = torch.nn.Linear(hidden_dim, hidden_dim)
      if empty_grad:
          self.layers2 = torch.nn.ModuleList(
              [torch.nn.Linear(hidden_dim, hidden_dim)]
          )
      self.cross_entropy_loss = torch.nn.CrossEntropyLoss()
  
file_path: DeepSpeed/tests/small_model_debugging/test_mics_config.py
imports: import os
  import json
  import argparse
  import torch
  import deepspeed
  from torch.utils.data.distributed import DistributedSampler
  import deepspeed.comm
label_desc: Use image node_id 1 to create a new SimpleModel object from inherited base classes: torch.nn with example: obj = SimpleModel(hidden_dim, empty_grad)