不同版本Onnx模型导出适配 (#221)

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* [pre-commit.ci] auto fixes from pre-commit.com hooks

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onnx_modules/__init__.py

@@ -0,0 +1,47 @@
+from utils import get_hparams_from_file, load_checkpoint
+import json
+
+
+def export_onnx(export_path, model_path, config_path):
+    hps = get_hparams_from_file(config_path)
+    version = hps.version[0:3]
+    if version == "2.0":
+        from .V200 import SynthesizerTrn, symbols
+    elif version == "2.1":
+        from .V210 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",
+        ],
+    }
+
+    with open(f"onnx/{export_path}.json", "w") as MoeVsConfFile:
+        json.dump(MoeVSConf, MoeVsConfFile, indent=4)