import pytest
import torch
from hf_tracer_utils import trace_model_and_compare_output
from packaging import version

from tests.kit.model_zoo import model_zoo


@pytest.mark.skipif(version.parse(torch.__version__) < version.parse('1.12.0'), reason='torch version < 12')
def test_gpt():
    sub_registry = model_zoo.get_sub_registry('transformers_gpt')

    for name, (model_fn, data_gen_fn, _, _) in sub_registry.items():
        model = model_fn()

        # TODO: support the following models
        # 1. GPT2DoubleHeadsModel
        # as they are not supported, let's skip them
        if model.__class__.__name__ in ['GPT2DoubleHeadsModel']:
            continue

        trace_model_and_compare_output(model, data_gen_fn)


if __name__ == '__main__':
    test_gpt()
