code: def _forward_hook(self, m, inputs: Tensor, outputs: Tensor):
      has_not_submodules = (
          len(list(m.modules())) == 1
          or isinstance(m, nn.Conv2d)
          or isinstance(m, nn.BatchNorm2d)
      )
      if has_not_submodules:
          self.traced.append(m)
  
imports: import argparse
  import json
  from dataclasses import dataclass, field
  from functools import partial
  from pathlib import Path
  from typing import List
  import torch
  import torch.nn
  from torch import Tensor
  import timm
  from huggingface_hub import hf_hub_download
  from transformers import AutoFeatureExtractor, ResNetConfig, ResNetForImageClassification
  from transformers.utils import logging
label_desc: Use image node_id 1 for calling the Tracker obj's underlying member method code with example usage: obj._forward_hook(m, inputs, outputs) without return types