code: def test_all_gm_configs(self):
      # Tests all model settings in the implicitron_trainer config folder.
      device = torch.device("cuda:0")
      config_files = []
  
      for pattern in ("repro_singleseq*.yaml", "repro_multiseq*.yaml"):
          config_files.extend(
              [
                  f
                  for f in IMPLICITRON_CONFIGS_DIR.glob(pattern)
                  if not f.name.endswith("_base.yaml")
              ]
          )
  
      for config_file in config_files:
          with self.subTest(name=config_file.stem):
              cfg = _load_model_config_from_yaml(str(config_file))
              cfg.render_image_height = 80
              cfg.render_image_width = 80
              model = GenericModel(**cfg)
              model.to(device)
              self._one_model_test(
                  model,
                  device,
                  eval_test=True,
                  bw_test=True,
              )
  
imports: import os
  import unittest
  import torch
  from omegaconf import DictConfig, OmegaConf
  from pytorch3d.implicitron.models.generic_model import GenericModel
  from pytorch3d.implicitron.models.renderer.base import EvaluationMode
  from pytorch3d.implicitron.tools.config import expand_args_fields, get_default_args
  from pytorch3d.renderer.cameras import look_at_view_transform, PerspectiveCameras
  from tests.common_testing import get_pytorch3d_dir
  from .common_resources import provide_resnet34
label_desc: Use image node_id 4 for calling the TestGenericModel obj's underlying member method code with example usage: obj.test_all_gm_configs() without return types