optimize(vc.hash): use general get_synthesizer

infer/modules/vc/hash.py

@@ -6,6 +6,7 @@ from scipy.fft import fft
 from pybase16384 import encode_to_string, decode_from_string
 
 from configs import CPUConfig, singleton_variable
+from infer.lib.jit import get_synthesizer_ckpt
 
 from .pipeline import Pipeline
 from .utils import load_hubert
@@ -123,38 +124,19 @@ def model_hash(config, tgt_sr, net_g, if_f0, version):
         n = -n
         audio_opt = audio_opt[n:-n]
     h = wave_hash(audio_opt)
-    del pipeline, audio, audio_opt
+    del pipeline, audio_opt
     return h
 
 
 def model_hash_ckpt(cpt):
-    from infer.lib.infer_pack.models import (
-        SynthesizerTrnMs256NSFsid,
-        SynthesizerTrnMs256NSFsid_nono,
-        SynthesizerTrnMs768NSFsid,
-        SynthesizerTrnMs768NSFsid_nono,
-    )
-
     config = CPUConfig()
 
     with TorchSeedContext(114514):
+        net_g, cpt = get_synthesizer_ckpt(cpt, config.device)
         tgt_sr = cpt["config"][-1]
         if_f0 = cpt.get("f0", 1)
         version = cpt.get("version", "v1")
-        synthesizer_class = {
-            ("v1", 1): SynthesizerTrnMs256NSFsid,
-            ("v1", 0): SynthesizerTrnMs256NSFsid_nono,
-            ("v2", 1): SynthesizerTrnMs768NSFsid,
-            ("v2", 0): SynthesizerTrnMs768NSFsid_nono,
-        }
-        net_g = synthesizer_class.get((version, if_f0), SynthesizerTrnMs256NSFsid)(
-            *cpt["config"], is_half=config.is_half
-        )
 
-        del net_g.enc_q
-
-        net_g.load_state_dict(cpt["weight"], strict=False)
-        net_g.eval().to(config.device)
         if config.is_half:
             net_g = net_g.half()
         else: