def main(cfg):
logging.info(f'Hydra config: {cfg.pretty()}')
trainer = pl.Trainer(**cfg.trainer)
log_dir = exp_manager(trainer, cfg.get("exp_manager", None))
speaker_model = EncDecSpeakerLabelModel(cfg=cfg.model, trainer=trainer)
trainer.fit(speaker_model)
model_path = os.path.join(log_dir, '..', 'spkr.nemo')
speaker_model.save_to(model_path)
if hasattr(cfg.model, 'test_ds') and cfg.model.test_ds.manifest_filepath is not None:
gpu = 1 if cfg.trainer.gpus != 0 else 0
trainer = pl.Trainer(gpus=gpu)
if speaker_model.prepare_test(trainer):
trainer.test(speaker_model)
def main(cfg):
logging.info(f'Hydra config: {OmegaConf.to_yaml(cfg)}')
trainer = pl.Trainer(**cfg.trainer)
log_dir = exp_manager(trainer, cfg.get("exp_manager", None))
speaker_model = EncDecSpeakerLabelModel(cfg=cfg.model, trainer=trainer)
trainer.fit(speaker_model)
if not trainer.fast_dev_run:
model_path = os.path.join(log_dir, '..', 'spkr.nemo')
speaker_model.save_to(model_path)
if hasattr(cfg.model,
'test_ds') and cfg.model.test_ds.manifest_filepath is not None:
trainer = pl.Trainer(devices=1, accelerator=cfg.trainer.accelerator)
if speaker_model.prepare_test(trainer):
trainer.test(speaker_model)