Add files via upload

config.py

@@ -55,10 +55,11 @@ class Config:
             if (
                 ("16" in self.gpu_name and "V100" not in self.gpu_name.upper())
                 or "P40" in self.gpu_name.upper()
+                or "1060" in self.gpu_name
                 or "1070" in self.gpu_name
                 or "1080" in self.gpu_name
             ):
-                print("16系显卡强制单精度")
+                print("16系/10系显卡和P40强制单精度")
                 self.is_half = False
                 for config_file in ["32k.json", "40k.json", "48k.json"]:
                     with open(f"configs/{config_file}", "r") as f:

gui.py

@@ -38,7 +38,8 @@ class RVC:
             self.window = 160
             if index_rate != 0:
                 self.index = faiss.read_index(index_path)
-                self.big_npy = np.load(npy_path)
+                # self.big_npy = np.load(npy_path)
+                self.big_npy = index.reconstruct_n(0, self.index.ntotal)
                 print("index search enabled")
             self.index_rate = index_rate
             model_path = hubert_path
@@ -125,8 +126,15 @@ class RVC:
         ####索引优化
         if hasattr(self, "index") and hasattr(self, "big_npy") and self.index_rate != 0:
             npy = feats[0].cpu().numpy().astype("float32")
-            _, I = self.index.search(npy, 1)
-            npy = self.big_npy[I.squeeze()].astype("float16")
+
+            # _, I = self.index.search(npy, 1)
+            # npy = self.big_npy[I.squeeze()].astype("float16")
+
+            score, ix = index.search(npy, k=8)
+            weight = np.square(1 / score)
+            weight /= weight.sum(axis=1, keepdims=True)
+            npy = np.sum(big_npy[ix] * np.expand_dims(weight, axis=2), axis=1).astype("float16")
+
             feats = (
                 torch.from_numpy(npy).unsqueeze(0).to(device) * self.index_rate
                 + (1 - self.index_rate) * feats
@@ -204,7 +212,7 @@ class GUI:
                     layout=[
                         [
                             sg.Input(
-                                default_text="TEMP\\hubert_base.pt", key="hubert_path"
+                                default_text="hubert_base.pt", key="hubert_path"
                             ),
                             sg.FileBrowse(i18n("Hubert模型")),
                         ],
@@ -221,7 +229,7 @@ class GUI:
                         ],
                         [
                             sg.Input(
-                                default_text="TEMP\\big_src_feature_atri.npy",
+                                default_text="你不需要填写这个You don't need write this.",
                                 key="npy_path",
                             ),
                             sg.FileBrowse(i18n("选择.npy文件")),

infer-web.py

@@ -1312,7 +1312,7 @@ with gr.Blocks() as app:
                         interactive=True,
                     )
                     batch_size12 = gr.Slider(
-                        minimum=0,
+                        minimum=1,
                         maximum=40,
                         step=1,
                         label=i18n("每张显卡的batch_size"),
@@ -1540,4 +1540,4 @@ with gr.Blocks() as app:
             inbrowser=not config.noautoopen,
             server_port=config.listen_port,
             quiet=True,
-        )
+        )