Eren Gölge 5911eec3b1 Small trainer refactoring ... 1. Use a single Gradscaler for all the optimizers 2. Save terminal logs to a file. In DDP mode, each worker creates `trainer_N_log.txt`. 3. Fixes to allow only the main worker (rank==0) writing to Tensorboard 4. Pass parameters owned by the target optimizer to the grad_clip_norm		2021-08-26 17:08:58 +00:00
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bin	Small trainer refactoring	2021-08-26 17:08:58 +00:00
config	update docstring	2021-08-09 18:35:35 +00:00
server	Fix 🐛	2021-08-10 12:56:32 +00:00
speaker_encoder	Allow saving / loading checkpoints from cloud paths (#683)	2021-08-09 18:02:36 +00:00
tts	Fix VITS model SPD	2021-08-18 14:55:46 +00:00
utils	Syncronize DDP processes	2021-08-13 10:40:50 +00:00
vocoder	Fix Tacotron num_char init	2021-08-10 08:56:34 +00:00
.models.json	Add the models released with v0.2.0	2021-08-10 15:46:31 +00:00
VERSION	Bump up to v0.2.0	2021-08-11 08:15:39 +00:00
__init__.py	Add tests for gruut phonemization	2021-06-25 14:41:05 +02:00
model.py	Create base 🐸TTS model abstraction for tts models	2021-06-28 17:03:19 +02:00
trainer.py	Small trainer refactoring	2021-08-26 17:08:58 +00:00