diff --git a/rvc/lib/algorithm/commons.py b/rvc/lib/algorithm/commons.py
index 444e095b..2524abc4 100644
--- a/rvc/lib/algorithm/commons.py
+++ b/rvc/lib/algorithm/commons.py
@@ -156,6 +156,7 @@ def fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels):
     acts = t_act * s_act
     return acts
 
+
 def convert_pad_shape(pad_shape: List[List[int]]) -> List[int]:
     """
     Convert the pad shape to a list of integers.
diff --git a/rvc/lib/algorithm/modules.py b/rvc/lib/algorithm/modules.py
index ffd589fa..1038356d 100644
--- a/rvc/lib/algorithm/modules.py
+++ b/rvc/lib/algorithm/modules.py
@@ -1,6 +1,7 @@
 import torch
 from rvc.lib.algorithm.commons import fused_add_tanh_sigmoid_multiply
 
+
 class WaveNet(torch.nn.Module):
     """WaveNet residual blocks as used in WaveGlow
 
diff --git a/rvc/lib/zluda.py b/rvc/lib/zluda.py
index c5a55fb9..482009cc 100644
--- a/rvc/lib/zluda.py
+++ b/rvc/lib/zluda.py
@@ -1,16 +1,18 @@
 import torch
+
 if torch.cuda.is_available() and torch.cuda.get_device_name().endswith("[ZLUDA]"):
     _torch_stft = torch.stft
+
     def z_stft(
         audio: torch.Tensor,
         n_fft: int,
-        hop_length: int = None, 
-        win_length: int = None, 
-        window: torch.Tensor = None, 
-        center: bool = True, 
-        pad_mode: str = "reflect", 
-        normalized: bool = False, 
-        onesided: bool = None, 
+        hop_length: int = None,
+        win_length: int = None,
+        window: torch.Tensor = None,
+        center: bool = True,
+        pad_mode: str = "reflect",
+        normalized: bool = False,
+        onesided: bool = None,
         return_complex: bool = None,
     ):
         sd = audio.device
@@ -26,11 +28,11 @@ def z_stft(
             onesided=onesided,
             return_complex=return_complex,
         ).to(sd)
-        
+
     def z_jit(f, *_, **__):
         f.graph = torch._C.Graph()
         return f
-    
+
     # hijacks
     torch.stft = z_stft
     torch.jit.script = z_jit
@@ -38,4 +40,4 @@ def z_jit(f, *_, **__):
     torch.backends.cudnn.enabled = False
     torch.backends.cuda.enable_flash_sdp(False)
     torch.backends.cuda.enable_math_sdp(True)
-    torch.backends.cuda.enable_mem_efficient_sdp(False)
\ No newline at end of file
+    torch.backends.cuda.enable_mem_efficient_sdp(False)
diff --git a/rvc/train/train.py b/rvc/train/train.py
index bf1b01bb..a63ce7a1 100644
--- a/rvc/train/train.py
+++ b/rvc/train/train.py
@@ -1024,6 +1024,7 @@ def save_to_json(
     with open(file_path, "w") as f:
         json.dump(data, f)
 
+
 if __name__ == "__main__":
     torch.multiprocessing.set_start_method("spawn")
     main()