fix: 卸载音色省显存

顺便将所有print换成了统一的logger

infer/modules/vc/modules.py

@@ -1,4 +1,6 @@
 import traceback
+import logging
+logger = logging.getLogger(__name__)
 
 import numpy as np
 import soundfile as sf
@@ -30,14 +32,7 @@ class VC:
         self.config = config
 
     def get_vc(self, sid, *to_return_protect):
-        person = f'{os.getenv("weight_root")}/{sid}'
-        print(f"Loading: {person}")
-
-        self.cpt = torch.load(person, map_location="cpu")
-        self.tgt_sr = self.cpt["config"][-1]
-        self.cpt["config"][-3] = self.cpt["weight"]["emb_g.weight"].shape[0]  # n_spk
-        self.if_f0 = self.cpt.get("f0", 1)
-        self.version = self.cpt.get("version", "v1")
+        logger.info("Get sid: " + sid)
 
         to_return_protect0 = {
             "visible": self.if_f0 != 0,
@@ -54,6 +49,57 @@ class VC:
             "__type__": "update",
         }
 
+        if not sid:
+            if self.hubert_model is not None:  # 考虑到轮询, 需要加个判断看是否 sid 是由有模型切换到无模型的
+                logger.info("Clean model cache")
+                del self.net_g, self.n_spk, self.vc, self.hubert_model, self.tgt_sr  # ,cpt
+                self.hubert_model = self.net_g = self.n_spk = self.vc = self.hubert_model = self.tgt_sr = None
+                if torch.cuda.is_available():
+                    torch.cuda.empty_cache()
+                ###楼下不这么折腾清理不干净
+                self.if_f0 = self.cpt.get("f0", 1)
+                self.version = self.cpt.get("version", "v1")
+                if self.version == "v1":
+                    if self.if_f0 == 1:
+                        self.net_g = SynthesizerTrnMs256NSFsid(
+                            *self.cpt["config"], is_half=self.config.is_half
+                        )
+                    else:
+                        self.net_g = SynthesizerTrnMs256NSFsid_nono(*self.cpt["config"])
+                elif self.version == "v2":
+                    if self.if_f0 == 1:
+                        self.net_g = SynthesizerTrnMs768NSFsid(
+                            *self.cpt["config"], is_half=self.config.is_half
+                        )
+                    else:
+                        self.net_g = SynthesizerTrnMs768NSFsid_nono(*self.cpt["config"])
+                del self.net_g, self.cpt
+                if torch.cuda.is_available():
+                    torch.cuda.empty_cache()
+            return (
+                {"visible": False, "__type__": "update"},
+                {
+                    "visible": True,
+                    "value": to_return_protect0,
+                    "__type__": "update",
+                },
+                {
+                    "visible": True,
+                    "value": to_return_protect1,
+                    "__type__": "update",
+                },
+                "",
+                "",
+            )
+        person = f'{os.getenv("weight_root")}/{sid}'
+        logger.info(f"Loading: {person}")
+
+        self.cpt = torch.load(person, map_location="cpu")
+        self.tgt_sr = self.cpt["config"][-1]
+        self.cpt["config"][-3] = self.cpt["weight"]["emb_g.weight"].shape[0]  # n_spk
+        self.if_f0 = self.cpt.get("f0", 1)
+        self.version = self.cpt.get("version", "v1")
+
         synthesizer_class = {
             ("v1", 1): SynthesizerTrnMs256NSFsid,
             ("v1", 0): SynthesizerTrnMs256NSFsid_nono,
@@ -77,7 +123,7 @@ class VC:
         self.pipeline = Pipeline(self.tgt_sr, self.config)
         n_spk = self.cpt["config"][-3]
         index = {"value": get_index_path_from_model(sid), "__type__": "update"}
-        print("Select index:", index["value"])
+        logger.info("Select index: " + index["value"])
 
         return (
             (
@@ -165,7 +211,7 @@ class VC:
             )
         except:
             info = traceback.format_exc()
-            print(info)
+            logger.warn(info)
             return info, (None, None)
 
     def vc_multi(