Merge branch 'main' of github.com:FunAudioLLM/CosyVoice into main

cosyvoice/cli/frontend.py

@@ -47,7 +47,7 @@ class CosyVoiceFrontEnd:
                                                                      providers=["CUDAExecutionProvider" if torch.cuda.is_available() else
                                                                                 "CPUExecutionProvider"])
         if os.path.exists(spk2info):
-            self.spk2info = torch.load(spk2info, map_location=self.device)
+            self.spk2info = torch.load(spk2info, map_location=self.device, weights_only=True)
         else:
             self.spk2info = {}
         self.allowed_special = allowed_special

cosyvoice/cli/model.py

@@ -63,12 +63,12 @@ class CosyVoiceModel:
         self.silent_tokens = []
 
     def load(self, llm_model, flow_model, hift_model):
-        self.llm.load_state_dict(torch.load(llm_model, map_location=self.device), strict=True)
+        self.llm.load_state_dict(torch.load(llm_model, map_location=self.device, weights_only=True), strict=True)
         self.llm.to(self.device).eval()
-        self.flow.load_state_dict(torch.load(flow_model, map_location=self.device), strict=True)
+        self.flow.load_state_dict(torch.load(flow_model, map_location=self.device, weights_only=True), strict=True)
         self.flow.to(self.device).eval()
         # in case hift_model is a hifigan model
-        hift_state_dict = {k.replace('generator.', ''): v for k, v in torch.load(hift_model, map_location=self.device).items()}
+        hift_state_dict = {k.replace('generator.', ''): v for k, v in torch.load(hift_model, map_location=self.device, weights_only=True).items()}
         self.hift.load_state_dict(hift_state_dict, strict=True)
         self.hift.to(self.device).eval()