replace infer_pack

infer/lib/infer_pack/attentions.py

@@ -5,9 +5,9 @@ import torch
 from torch import nn
 from torch.nn import functional as F
 
-from lib.infer_pack import commons
-from lib.infer_pack import modules
-from lib.infer_pack.modules import LayerNorm
+from infer.lib.infer_pack import commons
+from infer.lib.infer_pack import modules
+from infer.lib.infer_pack.modules import LayerNorm
 
 
 class Encoder(nn.Module):

infer/lib/infer_pack/models.py

@@ -3,15 +3,15 @@ from time import time as ttime
 import torch
 from torch import nn
 from torch.nn import functional as F
-from lib.infer_pack import modules
-from lib.infer_pack import attentions
-from lib.infer_pack import commons
-from lib.infer_pack.commons import init_weights, get_padding
+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 lib.infer_pack.commons import init_weights
+from infer.lib.infer_pack.commons import init_weights
 import numpy as np
-from lib.infer_pack import commons
+from infer.lib.infer_pack import commons
 
 
 class TextEncoder256(nn.Module):

infer/lib/infer_pack/models_onnx.py

@@ -3,15 +3,15 @@ from time import time as ttime
 import torch
 from torch import nn
 from torch.nn import functional as F
-from lib.infer_pack import modules
-from lib.infer_pack import attentions
-from lib.infer_pack import commons
-from lib.infer_pack.commons import init_weights, get_padding
+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 lib.infer_pack.commons import init_weights
+from infer.lib.infer_pack.commons import init_weights
 import numpy as np
-from lib.infer_pack import commons
+from infer.lib.infer_pack import commons
 
 
 class TextEncoder256(nn.Module):

infer/lib/infer_pack/modules.py

@@ -9,9 +9,9 @@ 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 lib.infer_pack import commons
-from lib.infer_pack.commons import init_weights, get_padding
-from lib.infer_pack.transforms import piecewise_rational_quadratic_transform
+from infer.lib.infer_pack import commons
+from infer.lib.infer_pack.commons import init_weights, get_padding
+from infer.lib.infer_pack.transforms import piecewise_rational_quadratic_transform
 
 
 LRELU_SLOPE = 0.1

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

@@ -1,4 +1,4 @@
-from lib.infer_pack.modules.F0Predictor.F0Predictor import F0Predictor
+from infer.lib.infer_pack.modules.F0Predictor.F0Predictor import F0Predictor
 import pyworld
 import numpy as np
 

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

@@ -1,4 +1,4 @@
-from lib.infer_pack.modules.F0Predictor.F0Predictor import F0Predictor
+from infer.lib.infer_pack.modules.F0Predictor.F0Predictor import F0Predictor
 import pyworld
 import numpy as np
 

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

@@ -1,4 +1,4 @@
-from lib.infer_pack.modules.F0Predictor.F0Predictor import F0Predictor
+from infer.lib.infer_pack.modules.F0Predictor.F0Predictor import F0Predictor
 import parselmouth
 import numpy as np