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on
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Running
on
Zero
import os | |
import unittest | |
import torch | |
from tests import get_tests_output_path, run_cli | |
from TTS.config.shared_configs import BaseDatasetConfig | |
from TTS.tts.configs.vits_config import VitsConfig | |
torch.manual_seed(1) | |
config_path = os.path.join(get_tests_output_path(), "test_model_config.json") | |
dataset_config_en = BaseDatasetConfig( | |
formatter="ljspeech", | |
meta_file_train="metadata.csv", | |
meta_file_val="metadata.csv", | |
path="tests/data/ljspeech", | |
language="en", | |
) | |
""" | |
dataset_config_pt = BaseDatasetConfig( | |
formatter="ljspeech", | |
meta_file_train="metadata.csv", | |
meta_file_val="metadata.csv", | |
path="tests/data/ljspeech", | |
language="pt-br", | |
) | |
""" | |
# pylint: disable=protected-access | |
class TestFindUniquePhonemes(unittest.TestCase): | |
def test_espeak_phonemes(): | |
# prepare the config | |
config = VitsConfig( | |
batch_size=2, | |
eval_batch_size=2, | |
num_loader_workers=0, | |
num_eval_loader_workers=0, | |
text_cleaner="english_cleaners", | |
use_phonemes=True, | |
phoneme_language="en-us", | |
phoneme_cache_path="tests/data/ljspeech/phoneme_cache/", | |
run_eval=True, | |
test_delay_epochs=-1, | |
epochs=1, | |
print_step=1, | |
print_eval=True, | |
datasets=[dataset_config_en], | |
) | |
config.save_json(config_path) | |
# run test | |
run_cli(f'CUDA_VISIBLE_DEVICES="" python TTS/bin/find_unique_phonemes.py --config_path "{config_path}"') | |
def test_no_espeak_phonemes(): | |
# prepare the config | |
config = VitsConfig( | |
batch_size=2, | |
eval_batch_size=2, | |
num_loader_workers=0, | |
num_eval_loader_workers=0, | |
text_cleaner="english_cleaners", | |
use_phonemes=True, | |
phoneme_language="en-us", | |
phoneme_cache_path="tests/data/ljspeech/phoneme_cache/", | |
run_eval=True, | |
test_delay_epochs=-1, | |
epochs=1, | |
print_step=1, | |
print_eval=True, | |
datasets=[dataset_config_en], | |
) | |
config.save_json(config_path) | |
# run test | |
run_cli(f'CUDA_VISIBLE_DEVICES="" python TTS/bin/find_unique_phonemes.py --config_path "{config_path}"') | |