scott/kokoro
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

replace np.prod() with math.prod() to make Kokoro torch.compile-able (#91)

Browse Source 
* replace np.prod() with math.prod()

* another np.prod()
This commit is contained in:
Thien Tran
2025-02-15 14:48:51 +08:00
committed by GitHub
parent 330d110c05
commit 84d64f02d3
1 changed files with 4 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

7
kokoro/istftnet.py
View File

@@ -1,4 +1,5 @@
# https://github.com/yl4579/StyleTTS2/blob/main/Modules/istftnet.py
import math
from scipy.signal import get_window
from torch.nn.utils import weight_norm
import numpy as np
@@ -259,9 +260,9 @@ class Generator(nn.Module):
self.num_upsamples = len(upsample_rates)
self.m_source = SourceModuleHnNSF(
sampling_rate=24000,
upsample_scale=np.prod(upsample_rates) * gen_istft_hop_size,
upsample_scale=math.prod(upsample_rates) * gen_istft_hop_size,
harmonic_num=8, voiced_threshod=10)
self.f0_upsamp = nn.Upsample(scale_factor=np.prod(upsample_rates) * gen_istft_hop_size)
self.f0_upsamp = nn.Upsample(scale_factor=math.prod(upsample_rates) * gen_istft_hop_size)
self.noise_convs = nn.ModuleList()
self.noise_res = nn.ModuleList()
self.ups = nn.ModuleList()
@@ -276,7 +277,7 @@ class Generator(nn.Module):
self.resblocks.append(AdaINResBlock1(ch, k, d, style_dim))
c_cur = upsample_initial_channel // (2 ** (i + 1))
if i + 1 < len(upsample_rates):
stride_f0 = np.prod(upsample_rates[i + 1:])
stride_f0 = math.prod(upsample_rates[i + 1:])
self.noise_convs.append(nn.Conv1d(
gen_istft_n_fft + 2, c_cur, kernel_size=stride_f0 * 2, stride=stride_f0, padding=(stride_f0+1) // 2))
self.noise_res.append(AdaINResBlock1(c_cur, 7, [1,3,5], style_dim))