Format & polish training and webui
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11
commons.py
11
commons.py
@@ -1,7 +1,5 @@
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import math
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import numpy as np
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import torch
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from torch import nn
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from torch.nn import functional as F
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@@ -16,8 +14,8 @@ def get_padding(kernel_size, dilation=1):
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def convert_pad_shape(pad_shape):
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l = pad_shape[::-1]
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pad_shape = [item for sublist in l for item in sublist]
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layer = pad_shape[::-1]
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pad_shape = [item for sublist in layer for item in sublist]
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return pad_shape
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@@ -110,8 +108,8 @@ def fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels):
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def convert_pad_shape(pad_shape):
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l = pad_shape[::-1]
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pad_shape = [item for sublist in l for item in sublist]
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layer = pad_shape[::-1]
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pad_shape = [item for sublist in layer for item in sublist]
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return pad_shape
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@@ -132,7 +130,6 @@ def generate_path(duration, mask):
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duration: [b, 1, t_x]
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mask: [b, 1, t_y, t_x]
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"""
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device = duration.device
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b, _, t_y, t_x = mask.shape
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cum_duration = torch.cumsum(duration, -1)
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