optimize(crepe): move crepe into rvc.f0

infer/lib/rtrvc.py

@@ -292,22 +292,16 @@ class RVC:
             self.device
         ):  ###不支持dml，cpu又太慢用不成，拿fcpe顶替
             return self.get_f0(x, f0_up_key, 1, "fcpe")
-        # printt("using crepe,device:%s"%self.device)
-        f0, pd = torchcrepe.predict(
-            x.unsqueeze(0).float(),
-            16000,
-            160,
-            self.f0_min,
-            self.f0_max,
-            "full",
-            batch_size=512,
-            # device=self.device if self.device.type!="privateuseone" else "cpu",###crepe不用半精度全部是全精度所以不愁###cpu延迟高到没法用
-            device=self.device,
-            return_periodicity=True,
-        )
-        pd = torchcrepe.filter.median(pd, 3)
-        f0 = torchcrepe.filter.mean(f0, 3)
-        f0[pd < 0.1] = 0
+        if hasattr(self, "model_crepe") == False:
+            from rvc.f0 import CRePE
+            self.model_crepe = CRePE(
+                160,
+                self.f0_min,
+                self.f0_max,
+                16000,
+                self.device,
+            )
+        f0 = self.model_crepe.compute_f0(x)
         f0 *= pow(2, f0_up_key / 12)
         return self.get_f0_post(f0)