code: def __init__(self):
      super().__init__()
      self.conv = torch.nn.Conv2d(1, 20, 5)
  
imports: import tempfile
  import torch
  from torch.utils import benchmark
  from torchvision.models import resnet18
  import tvm
  import tvm.testing
  from tvm.contrib.torch import optimize_torch
  from tvm.meta_schedule import TuneConfig
label_desc: Use image node_id 1 to create a new InnerModel object from inherited base classes: torch.nn with example: obj = InnerModel()