fumiama/Retrieval-based-Voice-Conversion-WebUI
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chore(format): run black on dev (#59)

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Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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github-actions[bot]
2024-06-16 17:30:03 +09:00
committed by GitHub
parent 3a79d81907
commit 1410bd4d15
4 changed files with 26 additions and 11 deletions
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18
gui.py
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@@ -623,7 +623,14 @@ if __name__ == "__main__":
# "use_jit": values["use_jit"],
"use_jit": False,
"use_pv": values["use_pv"],
"f0method": ["pm", "dio", "harvest", "crepe", "rmvpe", "fcpe"][
"f0method": [
"pm",
"dio",
"harvest",
"crepe",
"rmvpe",
"fcpe",
][
[
values["pm"],
values["dio"],
@@ -728,7 +735,14 @@ if __name__ == "__main__":
self.gui_config.rms_mix_rate = values["rms_mix_rate"]
self.gui_config.index_rate = values["index_rate"]
self.gui_config.n_cpu = values["n_cpu"]
self.gui_config.f0method = ["pm", "dio", "harvest", "crepe", "rmvpe", "fcpe"][
self.gui_config.f0method = [
"pm",
"dio",
"harvest",
"crepe",
"rmvpe",
"fcpe",
][
[
values["pm"],
values["dio"],

6
infer/lib/rtrvc.py
View File

@@ -307,7 +307,8 @@ class RVC:
self.f0_max,
self.sr,
)
if filter_radius is None: filter_radius=3
if filter_radius is None:
filter_radius = 3
f0 = self.harvest.compute_f0(x.cpu().numpy(), filter_radius=filter_radius)
return self._get_f0_post(f0, f0_up_key)
@@ -342,7 +343,8 @@ class RVC:
device=self.device,
use_jit=self.use_jit,
)
if filter_radius is None: filter_radius=0.03
if filter_radius is None:
filter_radius = 0.03
return self._get_f0_post(
self.rmvpe.compute_f0(x, filter_radius=filter_radius),
f0_up_key,

4
rvc/layers/nsf.py
View File

@@ -153,7 +153,9 @@ class NSFGenerator(torch.nn.Module):
if n_res is not None:
n_res = int(n_res)
if n_res * self.upp != har_source.shape[-1]:
har_source = F.interpolate(har_source, size=n_res * self.upp, mode="linear")
har_source = F.interpolate(
har_source, size=n_res * self.upp, mode="linear"
)
if n_res != x.shape[-1]:
x = F.interpolate(x, size=n_res, mode="linear")

9
rvc/layers/synthesizers.py
View File

@@ -186,7 +186,8 @@ class SynthesizerTrnMsNSFsid(nn.Module):
head = int(skip_head)
length = int(return_length)
flow_head = head - 24
if flow_head < 0: flow_head = 0
if flow_head < 0:
flow_head = 0
dec_head = head - flow_head
m_p, logs_p, x_mask = self.enc_p(phone, pitch, phone_lengths, flow_head)
z_p = (m_p + torch.exp(logs_p) * torch.randn_like(m_p) * 0.66666) * x_mask
@@ -208,11 +209,7 @@ class SynthesizerTrnMsNSFsid(nn.Module):
n_res=return_length2,
)
else:
o = self.dec(
z * x_mask,
g=g,
n_res=return_length2
)
o = self.dec(z * x_mask, g=g, n_res=return_length2)
del x_mask, z
return o # , x_mask, (z, z_p, m_p, logs_p)