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3b1f1a0252
添加基于 Megatron-v3 的 GPT3 tensor 并行的推理代码
复用 DistributedPipeline 与 megatron-util
适用模型：1.3B/2.7B/13B 参数的 GPT-3 预训练生成模型
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10416721
59 lines
2.2 KiB
Python
59 lines
2.2 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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from modelscope.hub.snapshot_download import snapshot_download
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from modelscope.pipelines import pipeline
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from modelscope.utils.constant import Tasks
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from modelscope.utils.test_utils import test_level
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class TextGPT3GenerationTest(unittest.TestCase):
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def setUp(self) -> None:
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# please make sure this local path exists.
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self.model_id_1_3B = 'damo/nlp_gpt3_text-generation_1.3B'
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self.model_id_2_7B = 'damo/nlp_gpt3_text-generation_2.7B'
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self.model_id_13B = 'damo/nlp_gpt3_text-generation_13B'
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self.model_dir_13B = snapshot_download(self.model_id_13B)
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self.input = '好的'
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_gpt3_1_3B(self):
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pipe = pipeline(Tasks.text_generation, model=self.model_id_1_3B)
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print(pipe(self.input))
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_gpt3_2_7B(self):
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pipe = pipeline(Tasks.text_generation, model=self.model_id_2_7B)
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print(pipe(self.input))
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@unittest.skip('distributed gpt3 13B, skipped')
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def test_gpt3_13B(self):
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""" The model can be downloaded from the link on
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TODO: add gpt3 checkpoint link
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After downloading, you should have a gpt3 model structure like this:
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nlp_gpt3_text-generation_13B
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|_ config.json
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|_ configuration.json
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|_ tokenizer.json
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|_ model <-- an empty directory
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Model binaries shall be downloaded separately to populate the model directory, so that
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the model directory would contain the following binaries:
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|_ model
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|_ mp_rank_00_model_states.pt
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|_ mp_rank_01_model_states.pt
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|_ mp_rank_02_model_states.pt
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|_ mp_rank_03_model_states.pt
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|_ mp_rank_04_model_states.pt
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|_ mp_rank_05_model_states.pt
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|_ mp_rank_06_model_states.pt
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|_ mp_rank_07_model_states.pt
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"""
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pipe = pipeline(Tasks.text_generation, model=self.model_dir_13B)
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print(pipe(self.input))
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if __name__ == '__main__':
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unittest.main()
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