code: def __init__(self):
      super().__init__()
      self.layer = nn.Sequential(
          nn.Conv2d(1, 20, 5),
          nn.ReLU(),
          nn.Conv2d(20, 64, 5),
          nn.ReLU(),
      )
  
file_path: hls4ml/test/pytest/test_sequential_parsing_pytorch.py
imports: from collections import OrderedDict
  from pathlib import Path
  import pytest
  import torch.nn
  from hls4ml.converters import convert_from_pytorch_model
  from hls4ml.utils.config import config_from_pytorch_model
label_desc: Use image node_id 1 to create a new SeqModelUnnamedLayers object from inherited base classes: nn with example: obj = SeqModelUnnamedLayers()