optimize(infer): move jit into rvc

rvc/f0/models.py

@@ -0,0 +1,13 @@
+import torch
+
+def get_rmvpe(model_path="assets/rmvpe/rmvpe.pt", device=torch.device("cpu"), is_half=False):
+    from rvc.f0.e2e import E2E
+
+    model = E2E(4, 1, (2, 2))
+    ckpt = torch.load(model_path, map_location=device)
+    model.load_state_dict(ckpt)
+    model.eval()
+    if is_half:
+        model = model.half()
+    model = model.to(device)
+    return model