From 4a32949b0ec383819b90418a550224627cf8688a Mon Sep 17 00:00:00 2001 From: James Betker Date: Sun, 26 Dec 2021 15:33:21 -0700 Subject: [PATCH] update inference mode for unified --- codes/scripts/audio/gen/use_gpt_tts.py | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/codes/scripts/audio/gen/use_gpt_tts.py b/codes/scripts/audio/gen/use_gpt_tts.py index 4957a440..386392fa 100644 --- a/codes/scripts/audio/gen/use_gpt_tts.py +++ b/codes/scripts/audio/gen/use_gpt_tts.py @@ -7,6 +7,7 @@ import torchaudio import yaml from tokenizers import Tokenizer +from data.audio.paired_voice_audio_dataset import CharacterTokenizer from data.audio.unsupervised_audio_dataset import load_audio from data.util import is_audio_file, find_files_of_type from models.tacotron2.text import text_to_sequence @@ -87,12 +88,11 @@ if __name__ == '__main__': parser.add_argument('-dvae_model_name', type=str, help='Name of the DVAE model in opt.', default='dvae') parser.add_argument('-opt_gpt_tts', type=str, help='Path to options YAML file used to train the GPT-TTS model', default='X:\\dlas\\experiments\\train_gpt_unified_voice.yml') parser.add_argument('-gpt_tts_model_name', type=str, help='Name of the GPT TTS model in opt.', default='gpt') - parser.add_argument('-gpt_tts_model_path', type=str, help='GPT TTS model checkpoint to load.', default='X:\\dlas\\experiments\\train_gpt_unified_voice\\models\\15000_gpt.pth') + parser.add_argument('-gpt_tts_model_path', type=str, help='GPT TTS model checkpoint to load.', default='X:\\dlas\\experiments\\train_gpt_unified_voice\\models\\13750_gpt_ema.pth') parser.add_argument('-text', type=str, help='Text to speak.', default="I am a language model that has learned to speak.") parser.add_argument('-cond_path', type=str, help='Path to condioning sample.', default='') parser.add_argument('-cond_preset', type=str, help='Use a preset conditioning voice (defined above). Overrides cond_path.', default='libri_test') parser.add_argument('-num_samples', type=int, help='How many outputs to produce.', default=1) - parser.add_argument('-tokenizer_vocab_file', type=str, help='Tokenizer vocabulary file used to train.', default='../experiments/custom_lowercase_gptvoice_tokenizer_r2.json') args = parser.parse_args() print("Loading GPT TTS..") @@ -102,8 +102,13 @@ if __name__ == '__main__': gpt = load_model_from_config(preloaded_options=gpt_opt, model_name=args.gpt_tts_model_name, also_load_savepoint=False, load_path=args.gpt_tts_model_path) print("Loading data..") - tokenizer = Tokenizer.from_file(args.tokenizer_vocab_file) + tokenizer = CharacterTokenizer() text = torch.IntTensor(tokenizer.encode(args.text.strip().lower()).ids).unsqueeze(0).cuda() + paired_text_length = gpt_opt['datasets']['train']['max_paired_text_length'] + padding_needed = paired_text_length - text.shape[1] + assert padding_needed > 0 + text = F.pad(text, (0,padding_needed)) + cond_path = args.cond_path if args.cond_preset is None else preselected_cond_voices[args.cond_preset] conds, cond_wav = load_conditioning(cond_path)