code: def forward(self, x):
      output = self.layer(x)
      return output
  
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 2 for calling the SeqModelNamedLayers obj's underlying member method code with example usage: obj.forward(x) and returns: output