def test_split_hparams_string(self):
hp_str = "test=123,abc=cde"
res = split_hparams_string(hp_str)
self.assertEqual(2, len(res))
self.assertEqual("123", res["test"])
self.assertEqual("cde", res["abc"])
def validate_cli(**args):
args["custom_tacotron_hparams"] = split_hparams_string(
args["custom_tacotron_hparams"])
args["custom_waveglow_hparams"] = split_hparams_string(
args["custom_waveglow_hparams"])
validate_main(**args)
def test_split_hparams_string_none__returns_none(self):
hp_str = None
res = split_hparams_string(hp_str)
self.assertIsNone(res)
def train_cli(**args):
args["custom_hparams"] = split_hparams_string(args["custom_hparams"])
train_main(**args)
def continue_train_cli(**args):
args["custom_hparams"] = split_hparams_string(args["custom_hparams"])
continue_train_main(**args)
def infer_cli(**args):
args["custom_tacotron_hparams"] = split_hparams_string(
args["custom_tacotron_hparams"])
args["custom_waveglow_hparams"] = split_hparams_string(
args["custom_waveglow_hparams"])
infer_main(**args)
def eval_checkpoints_main_cli(**args):
args["custom_hparams"] = split_hparams_string(args["custom_hparams"])
eval_checkpoints_main(**args)
def infer_cli(**args): args["custom_hparams"] = split_hparams_string(args["custom_hparams"]) infer(**args)
def validate_cli(**args): args["custom_hparams"] = split_hparams_string(args["custom_hparams"]) validate(**args)
def train_cli(**args): args["custom_hparams"] = split_hparams_string(args["custom_hparams"]) start_new_training(**args)
def preprocess_mels_cli(**args):
args["custom_hparams"] = split_hparams_string(args["custom_hparams"])
preprocess_mels(**args)
def plot_mels_cli(**args):
args["custom_hparams"] = split_hparams_string(args["custom_hparams"])
plot_mels(**args)
