code: def test_pretrain_model(self, filepath: str):
      logger.info(f"Loading {filepath}")
      cfg = SSLHydraConfig.from_configs([filepath])
      _, config = convert_to_attrdict(cfg.default_cfg)
      if not is_big_model_too_big_for_ci(config):
          build_model(config.MODEL, config.OPTIMIZER)
  
file_path: vissl/tests/test_model_load.py
imports: import logging
  import unittest
  from parameterized import parameterized
  from utils import BENCHMARK_MODEL_CONFIGS, INTEGRATION_TEST_CONFIGS, PRETRAIN_MODEL_CONFIGS, SSLHydraConfig
  from vissl.models import build_model
  from vissl.utils.hydra_config import convert_to_attrdict, hydra_compose
  from vissl.utils.test_utils import parameterized_random
label_desc: Use image node_id 1 for calling the TestPretrainModel obj's underlying member method code with example usage: obj.test_pretrain_model(filepath) without return types