format

infer/lib/uvr5_pack/lib_v5/layers.py

@@ -1,6 +1,6 @@
 import torch
-from torch import nn
 import torch.nn.functional as F
+from torch import nn
 
 from . import spec_utils
 

infer/lib/uvr5_pack/lib_v5/layers_123812KB .py

@@ -1,6 +1,6 @@
 import torch
-from torch import nn
 import torch.nn.functional as F
+from torch import nn
 
 from . import spec_utils
 

infer/lib/uvr5_pack/lib_v5/layers_123821KB.py

@@ -1,6 +1,6 @@
 import torch
-from torch import nn
 import torch.nn.functional as F
+from torch import nn
 
 from . import spec_utils
 

infer/lib/uvr5_pack/lib_v5/layers_33966KB.py

@@ -1,6 +1,6 @@
 import torch
-from torch import nn
 import torch.nn.functional as F
+from torch import nn
 
 from . import spec_utils
 

infer/lib/uvr5_pack/lib_v5/layers_537227KB.py

@@ -1,6 +1,6 @@
 import torch
-from torch import nn
 import torch.nn.functional as F
+from torch import nn
 
 from . import spec_utils
 

infer/lib/uvr5_pack/lib_v5/layers_537238KB.py

@@ -1,6 +1,6 @@
 import torch
-from torch import nn
 import torch.nn.functional as F
+from torch import nn
 
 from . import spec_utils
 

infer/lib/uvr5_pack/lib_v5/layers_new.py

@@ -1,6 +1,6 @@
 import torch
-from torch import nn
 import torch.nn.functional as F
+from torch import nn
 
 from . import spec_utils
 

infer/lib/uvr5_pack/lib_v5/nets.py

@@ -1,8 +1,8 @@
-import torch
-from torch import nn
-import torch.nn.functional as F
-
 import layers
+import torch
+import torch.nn.functional as F
+from torch import nn
+
 from . import spec_utils
 
 

infer/lib/uvr5_pack/lib_v5/nets_123812KB.py

@@ -1,6 +1,6 @@
 import torch
-from torch import nn
 import torch.nn.functional as F
+from torch import nn
 
 from . import layers_123821KB as layers
 

infer/lib/uvr5_pack/lib_v5/nets_123821KB.py

@@ -1,6 +1,6 @@
 import torch
-from torch import nn
 import torch.nn.functional as F
+from torch import nn
 
 from . import layers_123821KB as layers
 

infer/lib/uvr5_pack/lib_v5/nets_33966KB.py

@@ -1,6 +1,6 @@
 import torch
-from torch import nn
 import torch.nn.functional as F
+from torch import nn
 
 from . import layers_33966KB as layers
 

infer/lib/uvr5_pack/lib_v5/nets_537227KB.py

@@ -1,7 +1,7 @@
-import torch
 import numpy as np
-from torch import nn
+import torch
 import torch.nn.functional as F
+from torch import nn
 
 from . import layers_537238KB as layers
 

infer/lib/uvr5_pack/lib_v5/nets_537238KB.py

@@ -1,7 +1,7 @@
-import torch
 import numpy as np
-from torch import nn
+import torch
 import torch.nn.functional as F
+from torch import nn
 
 from . import layers_537238KB as layers
 

infer/lib/uvr5_pack/lib_v5/nets_61968KB.py

@@ -1,6 +1,6 @@
 import torch
-from torch import nn
 import torch.nn.functional as F
+from torch import nn
 
 from . import layers_123821KB as layers
 

infer/lib/uvr5_pack/lib_v5/nets_new.py

@@ -1,6 +1,7 @@
 import torch
-from torch import nn
 import torch.nn.functional as F
+from torch import nn
+
 from . import layers_new
 
 

infer/lib/uvr5_pack/lib_v5/spec_utils.py

@@ -1,8 +1,12 @@
-import os, librosa
+import hashlib
+import json
+import math
+import os
+
+import librosa
 import numpy as np
 import soundfile as sf
 from tqdm import tqdm
-import json, math, hashlib
 
 
 def crop_center(h1, h2):
@@ -519,10 +523,11 @@ def istft(spec, hl):
 
 
 if __name__ == "__main__":
-    import cv2
+    import argparse
     import sys
     import time
-    import argparse
+
+    import cv2
     from model_param_init import ModelParameters
 
     p = argparse.ArgumentParser()

infer/lib/uvr5_pack/utils.py

@@ -1,8 +1,9 @@
-import torch
-import numpy as np
-from tqdm import tqdm
 import json
 
+import numpy as np
+import torch
+from tqdm import tqdm
+
 
 def load_data(file_name: str = "./infer/lib/uvr5_pack/name_params.json") -> dict:
     with open(file_name, "r") as f: