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Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/11403205 * support asr new models & vad-punc models
49 lines
1.6 KiB
Python
49 lines
1.6 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import os
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import shutil
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import tempfile
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import unittest
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from modelscope.metainfo import Trainers
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from modelscope.msdatasets import MsDataset
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from modelscope.trainers import build_trainer
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from modelscope.utils.audio.audio_utils import TtsTrainType
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from modelscope.utils.constant import DownloadMode, Fields, Tasks
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from modelscope.utils.logger import get_logger
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from modelscope.utils.test_utils import test_level
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logger = get_logger()
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class TestASRTrainer(unittest.TestCase):
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def setUp(self):
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self.tmp_dir = tempfile.TemporaryDirectory().name
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if not os.path.exists(self.tmp_dir):
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os.makedirs(self.tmp_dir)
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self.model_id = 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch'
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self.dataset_id = 'speech_asr_aishell1_trainsets'
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self.dataset_namespace = 'speech_asr'
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def tearDown(self):
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shutil.rmtree(self.tmp_dir, ignore_errors=True)
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super().tearDown()
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_trainer(self):
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ds_dict = MsDataset.load(
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self.dataset_id, namespace=self.dataset_namespace)
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kwargs = dict(
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model=self.model_id, work_dir=self.tmp_dir, data_dir=ds_dict)
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trainer = build_trainer(
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Trainers.speech_asr_trainer, default_args=kwargs)
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trainer.train()
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result_model = os.path.join(self.tmp_dir, 'valid.acc.best.pth')
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assert os.path.exists(result_model)
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if __name__ == '__main__':
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unittest.main()
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