From b4f7bbbe391314406af0d3154ab50de680b91fd1 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Wed, 12 Jun 2024 14:55:48 +0900
Subject: [PATCH] chore(format): run black on dev (#40)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
---
 infer/modules/vc/modules.py | 4 +---
 rvc/hubert.py               | 4 +---
 rvc/synthesizer.py          | 3 ++-
 3 files changed, 4 insertions(+), 7 deletions(-)

diff --git a/infer/modules/vc/modules.py b/infer/modules/vc/modules.py
index dd2e42b..49f21dc 100644
--- a/infer/modules/vc/modules.py
+++ b/infer/modules/vc/modules.py
@@ -62,9 +62,7 @@ class VC:
                 elif torch.backends.mps.is_available():
                     torch.mps.empty_cache()
                 ###楼下不这么折腾清理不干净
-                self.net_g, self.cpt = get_synthesizer(
-                    self.cpt, self.config.device
-                )
+                self.net_g, self.cpt = get_synthesizer(self.cpt, self.config.device)
                 self.if_f0 = self.cpt.get("f0", 1)
                 self.version = self.cpt.get("version", "v1")
                 del self.net_g, self.cpt
diff --git a/rvc/hubert.py b/rvc/hubert.py
index dbb4769..b9ac6b0 100644
--- a/rvc/hubert.py
+++ b/rvc/hubert.py
@@ -262,9 +262,7 @@ def apply_mask(self, x, padding_mask, target_list):
     return x, mask_indices
 
 
-def get_hubert(
-    model_path="assets/hubert/hubert_base.pt", device=torch.device("cpu")
-):
+def get_hubert(model_path="assets/hubert/hubert_base.pt", device=torch.device("cpu")):
     models, _, _ = load_model_ensemble_and_task(
         [model_path],
         suffix="",
diff --git a/rvc/synthesizer.py b/rvc/synthesizer.py
index 9ff9266..e972d7f 100644
--- a/rvc/synthesizer.py
+++ b/rvc/synthesizer.py
@@ -27,7 +27,8 @@ def get_synthesizer(cpt: OrderedDict, device=torch.device("cpu")):
 
 
 def load_synthesizer(
-    pth_path: torch.serialization.FILE_LIKE, device=torch.device("cpu")):
+    pth_path: torch.serialization.FILE_LIKE, device=torch.device("cpu")
+):
     return get_synthesizer(
         torch.load(pth_path, map_location=torch.device("cpu")),
         device,