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RVC-Boss 2025-02-23 20:26:18 +08:00 committed by GitHub
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commit fbb9f21e53
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3 changed files with 6 additions and 6 deletions
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4
GPT_SoVITS/s2_train.py
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@ -251,8 +251,8 @@ def run(rank, n_gpus, hps):
scaler = GradScaler(enabled=hps.train.fp16_run) scaler = GradScaler(enabled=hps.train.fp16_run)
print("start training from epoch %s" % epoch_str)
for epoch in range(epoch_str, hps.train.epochs + 1): for epoch in range(epoch_str, hps.train.epochs + 1):
print("start training from epoch %s"%epoch)
if rank == 0: if rank == 0:
train_and_evaluate( train_and_evaluate(
rank, rank,
@ -282,7 +282,7 @@ def run(rank, n_gpus, hps):
) )
scheduler_g.step() scheduler_g.step()
scheduler_d.step() scheduler_d.step()
print("training done") print("training done")
def train_and_evaluate( def train_and_evaluate(

4
GPT_SoVITS/s2_train_v3.py
View File

@ -225,8 +225,8 @@ def run(rank, n_gpus, hps):
scaler = GradScaler(enabled=hps.train.fp16_run) scaler = GradScaler(enabled=hps.train.fp16_run)
net_d=optim_d=scheduler_d=None net_d=optim_d=scheduler_d=None
print("start training from epoch %s" % epoch_str)
for epoch in range(epoch_str, hps.train.epochs + 1): for epoch in range(epoch_str, hps.train.epochs + 1):
print("start training from epoch %s"%epoch)
if rank == 0: if rank == 0:
train_and_evaluate( train_and_evaluate(
rank, rank,
@ -256,7 +256,7 @@ def run(rank, n_gpus, hps):
) )
scheduler_g.step() scheduler_g.step()
# scheduler_d.step() # scheduler_d.step()
print("training done") print("training done")
def train_and_evaluate( def train_and_evaluate(

4
GPT_SoVITS/s2_train_v3_lora.py
View File

@ -198,8 +198,8 @@ def run(rank, n_gpus, hps):
scaler = GradScaler(enabled=hps.train.fp16_run) scaler = GradScaler(enabled=hps.train.fp16_run)
net_d=optim_d=scheduler_d=None net_d=optim_d=scheduler_d=None
print("start training from epoch %s"%epoch_str)
for epoch in range(epoch_str, hps.train.epochs + 1): for epoch in range(epoch_str, hps.train.epochs + 1):
print("start training from epoch %s"%epoch)
if rank == 0: if rank == 0:
train_and_evaluate( train_and_evaluate(
rank, rank,
@ -228,7 +228,7 @@ def run(rank, n_gpus, hps):
None, None,
) )
scheduler_g.step() scheduler_g.step()
print("training done") print("training done")
def train_and_evaluate( def train_and_evaluate(
rank, epoch, hps, nets, optims, schedulers, scaler, loaders, logger, writers rank, epoch, hps, nets, optims, schedulers, scaler, loaders, logger, writers