ColossalAI/tests/test_lazy/test_models.py

import pytest
from lazy_init_utils import SUPPORT_LAZY, check_lazy_init

from tests.kit.model_zoo import model_zoo


@pytest.mark.skipif(not SUPPORT_LAZY, reason='requires torch >= 1.12.0')
@pytest.mark.parametrize('subset', ['torchvision', 'diffusers', 'timm', 'transformers', 'torchaudio', 'deepfm', 'dlrm'])
@pytest.mark.parametrize('default_device', ['cpu', 'cuda'])
def test_torchvision_models_lazy_init(subset, default_device):
    sub_model_zoo = model_zoo.get_sub_registry(subset)
    for name, entry in sub_model_zoo.items():
        # TODO(ver217): lazy init does not support weight norm, skip these models
        if name in ('torchaudio_wav2vec2_base', 'torchaudio_hubert_base'
                   ) or name.startswith('transformers_llama') or name.startswith('transformers_vit'):
            continue
        check_lazy_init(entry, verbose=True, default_device=default_device)


if __name__ == '__main__':
    test_torchvision_models_lazy_init('torchvision')