# Copyright (c) Alibaba, Inc. and its affiliates. import os import shutil import tempfile import unittest from modelscope.metainfo import Trainers from modelscope.msdatasets import MsDataset from modelscope.trainers import build_trainer from modelscope.utils.audio.audio_utils import TtsTrainType from modelscope.utils.constant import DownloadMode, Fields, Tasks from modelscope.utils.logger import get_logger from modelscope.utils.test_utils import test_level logger = get_logger() class TestTtsTrainer(unittest.TestCase): def setUp(self): self.tmp_dir = tempfile.TemporaryDirectory().name if not os.path.exists(self.tmp_dir): os.makedirs(self.tmp_dir) self.model_id = 'speech_tts/speech_sambert-hifigan_tts_zh-cn_multisp_pretrain_16k' self.dataset_id = 'speech_kantts_opendata' self.dataset_namespace = 'speech_tts' self.train_info = { TtsTrainType.TRAIN_TYPE_SAMBERT: { 'train_steps': 2, 'save_interval_steps': 1, 'eval_interval_steps': 1, 'log_interval': 1 }, TtsTrainType.TRAIN_TYPE_VOC: { 'train_steps': 2, 'save_interval_steps': 1, 'eval_interval_steps': 1, 'log_interval': 1 } } def tearDown(self): shutil.rmtree(self.tmp_dir, ignore_errors=True) super().tearDown() @unittest.skipUnless(test_level() >= 0, 'skip test in current test level') def test_trainer(self): kwargs = dict( model=self.model_id, work_dir=self.tmp_dir, train_dataset=self.dataset_id, train_dataset_namespace=self.dataset_namespace, train_type=self.train_info) trainer = build_trainer( Trainers.speech_kantts_trainer, default_args=kwargs) trainer.train() tmp_am = os.path.join(self.tmp_dir, 'tmp_am', 'ckpt') tmp_voc = os.path.join(self.tmp_dir, 'tmp_voc', 'ckpt') assert os.path.exists(tmp_am) assert os.path.exists(tmp_voc) if __name__ == '__main__': unittest.main()