azalea/VITS-fast-fine-tuning
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Added capability of continue training from previous checkpoints

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Plachta
2023-06-12 19:11:52 +08:00
parent 631f97eff7
commit 3b8d7b5ef4
1 changed files with 16 additions and 13 deletions
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finetune_speaker_v2.py
+16 -13
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@@ -98,19 +98,22 @@ def run(rank, n_gpus, hps):
net_d = MultiPeriodDiscriminator(hps.model.use_spectral_norm).cuda(rank) net_d = MultiPeriodDiscriminator(hps.model.use_spectral_norm).cuda(rank)
# load existing model # load existing model
G_ckpt = "./pretrained_models/G_latest.pth" if hps.cont else "./pretrained_models/G_0.pth" if hps.cont:
D_ckpt = "./pretrained_models/D_latest.pth" if hps.cont else "./pretrained_models/D_0.pth" try:
try: _, _, _, epoch_str = utils.load_checkpoint(utils.latest_checkpoint_path(hps.model_dir, "G_*.pth"), net_g, None)
_, _, _, _ = utils.load_checkpoint(G_ckpt, net_g, None, _, _, _, epoch_str = utils.load_checkpoint(utils.latest_checkpoint_path(hps.model_dir, "D_*.pth"), net_d, None)
drop_speaker_emb=hps.drop_speaker_embed) epoch_str = 1
except Exception: global_step = 0
_, _, _, _ = utils.load_checkpoint("./pretrained_models/G_0.pth", net_g, None, drop_speaker_emb=hps.drop_speaker_embed) except:
try: _, _, _, epoch_str = utils.load_checkpoint("./pretrained_models/G_0.pth", net_g, None)
_, _, _, _ = utils.load_checkpoint(D_ckpt, net_d, None) _, _, _, epoch_str = utils.load_checkpoint("./pretrained_models/D_0.pth", net_d, None)
except Exception: epoch_str = 1
_, _, _, _ = utils.load_checkpoint("./pretrained_models/D_0.pth", net_d, None) global_step = 0
epoch_str = 1 else:
global_step = 0 _, _, _, epoch_str = utils.load_checkpoint("./pretrained_models/G_0.pth", net_g, None)
_, _, _, epoch_str = utils.load_checkpoint("./pretrained_models/D_0.pth", net_d, None)
epoch_str = 1
global_step = 0
# freeze all other layers except speaker embedding # freeze all other layers except speaker embedding
for p in net_g.parameters(): for p in net_g.parameters():
p.requires_grad = True p.requires_grad = True