format

infer/lib/infer_pack/attentions.py

@@ -1,12 +1,12 @@
 import copy
 import math
+
 import numpy as np
 import torch
 from torch import nn
 from torch.nn import functional as F
 
-from infer.lib.infer_pack import commons
-from infer.lib.infer_pack import modules
+from infer.lib.infer_pack import commons, modules
 from infer.lib.infer_pack.modules import LayerNorm
 
 

infer/lib/infer_pack/commons.py

@@ -1,4 +1,5 @@
 import math
+
 import numpy as np
 import torch
 from torch import nn

infer/lib/infer_pack/models.py

@@ -1,17 +1,17 @@
-import math, pdb, os
+import math
+import os
+import pdb
 from time import time as ttime
+
+import numpy as np
 import torch
 from torch import nn
+from torch.nn import AvgPool1d, Conv1d, Conv2d, ConvTranspose1d
 from torch.nn import functional as F
-from infer.lib.infer_pack import modules
-from infer.lib.infer_pack import attentions
-from infer.lib.infer_pack import commons
-from infer.lib.infer_pack.commons import init_weights, get_padding
-from torch.nn import Conv1d, ConvTranspose1d, AvgPool1d, Conv2d
-from torch.nn.utils import weight_norm, remove_weight_norm, spectral_norm
-from infer.lib.infer_pack.commons import init_weights
-import numpy as np
-from infer.lib.infer_pack import commons
+from torch.nn.utils import remove_weight_norm, spectral_norm, weight_norm
+
+from infer.lib.infer_pack import attentions, commons, modules
+from infer.lib.infer_pack.commons import get_padding, init_weights
 
 
 class TextEncoder256(nn.Module):

infer/lib/infer_pack/models_onnx.py

@@ -1,17 +1,17 @@
-import math, pdb, os
+import math
+import os
+import pdb
 from time import time as ttime
+
+import numpy as np
 import torch
 from torch import nn
+from torch.nn import AvgPool1d, Conv1d, Conv2d, ConvTranspose1d
 from torch.nn import functional as F
-from infer.lib.infer_pack import modules
-from infer.lib.infer_pack import attentions
-from infer.lib.infer_pack import commons
-from infer.lib.infer_pack.commons import init_weights, get_padding
-from torch.nn import Conv1d, ConvTranspose1d, AvgPool1d, Conv2d
-from torch.nn.utils import weight_norm, remove_weight_norm, spectral_norm
-from infer.lib.infer_pack.commons import init_weights
-import numpy as np
-from infer.lib.infer_pack import commons
+from torch.nn.utils import remove_weight_norm, spectral_norm, weight_norm
+
+from infer.lib.infer_pack import attentions, commons, modules
+from infer.lib.infer_pack.commons import get_padding, init_weights
 
 
 class TextEncoder256(nn.Module):

infer/lib/infer_pack/modules.py

@@ -1,19 +1,18 @@
 import copy
 import math
+
 import numpy as np
 import scipy
 import torch
 from torch import nn
+from torch.nn import AvgPool1d, Conv1d, Conv2d, ConvTranspose1d
 from torch.nn import functional as F
-
-from torch.nn import Conv1d, ConvTranspose1d, AvgPool1d, Conv2d
-from torch.nn.utils import weight_norm, remove_weight_norm
+from torch.nn.utils import remove_weight_norm, weight_norm
 
 from infer.lib.infer_pack import commons
-from infer.lib.infer_pack.commons import init_weights, get_padding
+from infer.lib.infer_pack.commons import get_padding, init_weights
 from infer.lib.infer_pack.transforms import piecewise_rational_quadratic_transform
 
-
 LRELU_SLOPE = 0.1
 
 

infer/lib/infer_pack/modules/F0Predictor/DioF0Predictor.py

@@ -1,6 +1,7 @@
-from infer.lib.infer_pack.modules.F0Predictor.F0Predictor import F0Predictor
-import pyworld
 import numpy as np
+import pyworld
+
+from infer.lib.infer_pack.modules.F0Predictor.F0Predictor import F0Predictor
 
 
 class DioF0Predictor(F0Predictor):

infer/lib/infer_pack/modules/F0Predictor/HarvestF0Predictor.py

@@ -1,6 +1,7 @@
-from infer.lib.infer_pack.modules.F0Predictor.F0Predictor import F0Predictor
-import pyworld
 import numpy as np
+import pyworld
+
+from infer.lib.infer_pack.modules.F0Predictor.F0Predictor import F0Predictor
 
 
 class HarvestF0Predictor(F0Predictor):

infer/lib/infer_pack/modules/F0Predictor/PMF0Predictor.py

@@ -1,6 +1,7 @@
-from infer.lib.infer_pack.modules.F0Predictor.F0Predictor import F0Predictor
-import parselmouth
 import numpy as np
+import parselmouth
+
+from infer.lib.infer_pack.modules.F0Predictor.F0Predictor import F0Predictor
 
 
 class PMF0Predictor(F0Predictor):

infer/lib/infer_pack/onnx_inference.py

@@ -1,6 +1,6 @@
-import onnxruntime
 import librosa
 import numpy as np
+import onnxruntime
 import soundfile
 
 

infer/lib/infer_pack/transforms.py

@@ -1,9 +1,7 @@
+import numpy as np
 import torch
 from torch.nn import functional as F
 
-import numpy as np
-
-
 DEFAULT_MIN_BIN_WIDTH = 1e-3
 DEFAULT_MIN_BIN_HEIGHT = 1e-3
 DEFAULT_MIN_DERIVATIVE = 1e-3