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resume training

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This commit is contained in:
lyuxiang.lx
2024-11-15 16:41:17 +08:00
parent 5ed5bb15c8
commit c3dfd23399
2 changed files with 18 additions and 5 deletions
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5
cosyvoice/utils/train_utils.py
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@@ -199,7 +199,7 @@ def save_model(model, model_name, info_dict):
if info_dict["train_engine"] == "torch_ddp":
if rank == 0:
torch.save(model.module.state_dict(), save_model_path)
torch.save({**model.module.state_dict(), 'epoch': info_dict['epoch'], 'step': info_dict['step']}, save_model_path)
else:
with torch.no_grad():
model.save_checkpoint(save_dir=model_dir,
@@ -284,7 +284,8 @@ def update_parameter_and_lr(model, optimizer, scheduler, scaler, info_dict):
# We don't check grad here since that if the gradient
# has inf/nan values, scaler.step will skip
# optimizer.step().
scaler.step(optimizer)
if torch.isfinite(grad_norm):
scaler.step(optimizer)
scaler.update()
else:
grad_norm = clip_grad_norm_(model.parameters(), info_dict['grad_clip'])