mirror of https://github.com/hpcaitech/ColossalAI
20 lines
764 B
Python
20 lines
764 B
Python
import pytest
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from lazy_init_utils import SUPPORT_LAZY, check_lazy_init
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from tests.kit.model_zoo import model_zoo
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@pytest.mark.skipif(not SUPPORT_LAZY, reason='requires torch >= 1.12.0')
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@pytest.mark.parametrize('subset', ['torchvision', 'diffusers', 'timm', 'transformers', 'torchaudio', 'deepfm', 'dlrm'])
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def test_torchvision_models_lazy_init(subset):
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sub_model_zoo = model_zoo.get_sub_registry(subset)
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for name, entry in sub_model_zoo.items():
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# TODO(ver217): lazy init does not support weight norm, skip these models
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if name in ('torchaudio_wav2vec2_base', 'torchaudio_hubert_base'):
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continue
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check_lazy_init(entry, verbose=True)
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if __name__ == '__main__':
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test_torchvision_models_lazy_init('torchvision')
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