chore(sync): merge dev into main (#1408)

* Update mdxnet.py

* Update modules.py

* Rename preprocess.py to vr.py

* Add files via upload

* deps: add av lib (#1391)

* Add files via upload

* chore(format): run black on dev (#1398)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* chore: sync dev to mian (#1404)

* Add files via upload

* Update rvc_for_realtime.py

* Add files via upload

* Add files via upload

* chore(format): run black on dev (#1407)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

---------

Co-authored-by: RVC-Boss <129054828+RVC-Boss@users.noreply.github.com>
Co-authored-by: Hiroto N <hironow365@gmail.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: 源文雨 <41315874+fumiama@users.noreply.github.com>

infer-web.py

@@ -16,16 +16,6 @@ from configs.config import Config
 from sklearn.cluster import MiniBatchKMeans
 from dotenv import load_dotenv
 import torch
-
-try:
-    import intel_extension_for_pytorch as ipex  # pylint: disable=import-error, unused-import
-
-    if torch.xpu.is_available():
-        from infer.modules.ipex import ipex_init
-
-        ipex_init()
-except Exception:  # pylint: disable=broad-exception-caught
-    pass
 import numpy as np
 import gradio as gr
 import faiss
@@ -449,7 +439,8 @@ def change_f0(if_f0_3, sr2, version19):  # f0method8,pretrained_G14,pretrained_D
     path_str = "" if version19 == "v1" else "_v2"
     return (
         {"visible": if_f0_3, "__type__": "update"},
-        *get_pretrained_models(path_str, "f0", sr2),
+        {"visible": if_f0_3, "__type__": "update"},
+        *get_pretrained_models(path_str, "f0" if if_f0_3 == True else "", sr2),
     )
 
 
@@ -1291,7 +1282,7 @@ with gr.Blocks(title="RVC WebUI") as app:
                     if_f0_3.change(
                         change_f0,
                         [if_f0_3, sr2, version19],
-                        [f0method8, pretrained_G14, pretrained_D15],
+                        [f0method8, gpus_rmvpe, pretrained_G14, pretrained_D15],
                     )
                     gpus16 = gr.Textbox(
                         label=i18n("以-分隔输入使用的卡号, 例如   0-1-2   使用卡0和卡1和卡2"),

infer/lib/infer_pack/models.py

@@ -1125,7 +1125,7 @@ class SynthesizerTrnMs768NSFsid_nono(nn.Module):
         sr=None,
         **kwargs
     ):
-        super(self, SynthesizerTrnMs768NSFsid_nono).__init__()
+        super(SynthesizerTrnMs768NSFsid_nono, self).__init__()
         self.spec_channels = spec_channels
         self.inter_channels = inter_channels
         self.hidden_channels = hidden_channels

infer/modules/vc/pipeline.py

@@ -321,14 +321,14 @@ class Pipeline(object):
         if audio_pad.shape[0] > self.t_max:
             audio_sum = np.zeros_like(audio)
             for i in range(self.window):
-                audio_sum += audio_pad[i : i - self.window]
+                audio_sum += np.abs(audio_pad[i : i - self.window])
             for t in range(self.t_center, audio.shape[0], self.t_center):
                 opt_ts.append(
                     t
                     - self.t_query
                     + np.where(
-                        np.abs(audio_sum[t - self.t_query : t + self.t_query])
+                        audio_sum[t - self.t_query : t + self.t_query]
-                        == np.abs(audio_sum[t - self.t_query : t + self.t_query]).min()
+                        == audio_sum[t - self.t_query : t + self.t_query].min()
                     )[0][0]
                 )
         s = 0

tools/rvc_for_realtime.py

@@ -373,7 +373,7 @@ class RVC:
             else:
                 printt("Index search FAILED or disabled")
         except:
-            traceback.printt_exc()
+            traceback.print_exc()
             printt("Index search FAILED")
         feats = F.interpolate(feats.permute(0, 2, 1), scale_factor=2).permute(0, 2, 1)
         t3 = ttime()