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 COMMON_MODELS, IS_FAST_TEST, model_zoo


@pytest.mark.skipif(not SUPPORT_LAZY, reason="requires torch >= 1.12.0")
@pytest.mark.parametrize(
    "subset",
    [COMMON_MODELS]
    if IS_FAST_TEST
    else ["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, allow_empty=True)
    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_vit", "transformers_blip2")
        ):
            continue
        check_lazy_init(entry, verbose=True, default_device=default_device)


if __name__ == "__main__":
    test_torchvision_models_lazy_init("transformers", "cpu")