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https://github.com/hpcaitech/ColossalAI.git
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6ae8ed0407
* [lazyinit] fix shared module * [tests] add lazy init test utils * [tests] add torchvision for lazy init * [lazyinit] fix pre op fn * [lazyinit] handle legacy constructor * [tests] refactor lazy init test models * [tests] refactor lazy init test utils * [lazyinit] fix ops don't support meta * [tests] lazy init test timm models * [lazyinit] fix set data * [lazyinit] handle apex layers * [tests] lazy init test transformers models * [tests] lazy init test torchaudio models * [lazyinit] fix import path * [tests] lazy init test torchrec models * [tests] update torch version in CI * [tests] revert torch version in CI * [tests] skip lazy init test
24 lines
868 B
Python
24 lines
868 B
Python
import pytest
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from tests.kit.model_zoo import model_zoo
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# FIXME(ver217): uncomment this line
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# from utils import check_lazy_init
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# FIXME(ver217): temporarily skip this test since torch 1.11 does not fully support meta tensor
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@pytest.mark.skip
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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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# FIXME(ver217): uncomment this line
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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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