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from utils import get_hparams_from_file, load_checkpoint
import json
def export_onnx(export_path, model_path, config_path, novq, dev):
hps = get_hparams_from_file(config_path)
version = hps.version[0:3]
if version == "2.0" or (version == "2.1" and novq):
from .V200 import SynthesizerTrn, symbols
elif version == "2.1" and (not novq):
from .V210 import SynthesizerTrn, symbols
elif version == "2.2":
if novq and dev:
from .V220_novq_dev import SynthesizerTrn, symbols
else:
from .V220 import SynthesizerTrn, symbols
elif version == "2.3":
from .V230 import SynthesizerTrn, symbols
net_g = SynthesizerTrn(
len(symbols),
hps.data.filter_length // 2 + 1,
hps.train.segment_size // hps.data.hop_length,
n_speakers=hps.data.n_speakers,
**hps.model,
)
_ = net_g.eval()
_ = load_checkpoint(model_path, net_g, None, skip_optimizer=True)
net_g.cpu()
net_g.export_onnx(export_path)
spklist = []
for key in hps.data.spk2id.keys():
spklist.append(key)
MoeVSConf = {
"Folder": f"{export_path}",
"Name": f"{export_path}",
"Type": "BertVits",
"Symbol": symbols,
"Cleaner": "",
"Rate": hps.data.sampling_rate,
"CharaMix": True,
"Characters": spklist,
"LanguageMap": {"ZH": [0, 0], "JP": [1, 6], "EN": [2, 8]},
"Dict": "BasicDict",
"BertPath": [
"chinese-roberta-wwm-ext-large",
"deberta-v2-large-japanese",
"bert-base-japanese-v3",
],
"Clap": "clap-htsat-fused",
}
with open(f"onnx/{export_path}.json", "w") as MoeVsConfFile:
json.dump(MoeVSConf, MoeVsConfFile, indent=4)
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