code: def __init__(self):
      super().__init__()
      self.model = torch.nn.Sequential(
          torch.nn.Linear(1024, 1024),
          torch.nn.ReLU(),
      )
  
imports: import argparse
  import inspect
  import sys
  import numpy
  import tabulate
  import torch
  import torch._inductor
  from torch._dynamo.backends.cudagraphs import cudagraphs_inner
  from torch._dynamo.testing import same
  from torch._inductor.compile_fx import compile_fx
  from torch._inductor.utils import timed
label_desc: Use image node_id 1 to create a new MyModel1 object from inherited base classes: torch.nn with example: obj = MyModel1()