code: def __init__(self):
      super().__init__()
      self.ops = torch.nn.Sequential(
          torch.nn.ReLU(),
          torch.nn.Flatten(),
      )
  
imports: import functools
  import os
  from io import BytesIO
  import shutil
  import sys
  import torch
  from torch.jit.mobile import _load_for_lite_interpreter, _export_operator_list
label_desc: Use image node_id 1 to create a new ModelWithMultipleOps object from inherited base classes: torch.nn with example: obj = ModelWithMultipleOps()