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32 lines
1.2 KiB
32 lines
1.2 KiB
1 year ago
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import os
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from transformers import BertForPreTraining, LlamaForCausalLM
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import colossalai.interface.pretrained as pretrained_utils
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from colossalai.lazy import LazyInitContext
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def test_lazy_from_pretrained():
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# test from cached file, unsharded
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model = BertForPreTraining.from_pretrained("prajjwal1/bert-tiny")
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with LazyInitContext():
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deffered_model = BertForPreTraining.from_pretrained("prajjwal1/bert-tiny")
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pretrained_path = pretrained_utils.get_pretrained_path(deffered_model)
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assert os.path.isfile(pretrained_path)
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for p, lazy_p in zip(model.parameters(), deffered_model.parameters()):
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assert p.shape == lazy_p.shape
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# test from local file, sharded
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llama_path = os.environ["LLAMA_PATH"]
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model = LlamaForCausalLM.from_pretrained(llama_path)
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with LazyInitContext():
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deffered_model = LlamaForCausalLM.from_pretrained(llama_path)
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pretrained_path = pretrained_utils.get_pretrained_path(deffered_model)
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assert os.path.isfile(pretrained_path)
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for p, lazy_p in zip(model.parameters(), deffered_model.parameters()):
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assert p.shape == lazy_p.shape
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if __name__ == "__main__":
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test_lazy_from_pretrained()
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