RVC/Retrieval-based-Voice-Conversion-WebUI
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chore(sync): merge dev into main (#1379)

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* Optimize latency (#1259)

* add attribute:   configs/config.py
	Optimize latency:   tools/rvc_for_realtime.py

* new file:   assets/Synthesizer_inputs.pth

* fix:   configs/config.py
	fix:   tools/rvc_for_realtime.py

* fix bug:   infer/lib/infer_pack/models.py

* new file:   assets/hubert_inputs.pth
	new file:   assets/rmvpe_inputs.pth
	modified:   configs/config.py
	new features:   infer/lib/rmvpe.py
	new features:   tools/jit_export/__init__.py
	new features:   tools/jit_export/get_hubert.py
	new features:   tools/jit_export/get_rmvpe.py
	new features:   tools/jit_export/get_synthesizer.py
	optimize:   tools/rvc_for_realtime.py

* optimize:   tools/jit_export/get_synthesizer.py
	fix bug:   tools/jit_export/__init__.py

* Fixed a bug caused by using half on the CPU:   infer/lib/rmvpe.py
	Fixed a bug caused by using half on the CPU:   tools/jit_export/__init__.py
	Fixed CIRCULAR IMPORT:   tools/jit_export/get_rmvpe.py
	Fixed CIRCULAR IMPORT:   tools/jit_export/get_synthesizer.py
	Fixed a bug caused by using half on the CPU:   tools/rvc_for_realtime.py

* Remove useless code:   infer/lib/rmvpe.py

* Delete gui_v1 copy.py

* Delete .vscode/launch.json

* Delete jit_export_test.py

* Delete tools/rvc_for_realtime copy.py

* Delete configs/config.json

* Delete .gitignore

* Fix exceptions caused by switching inference devices:   infer/lib/rmvpe.py
	Fix exceptions caused by switching inference devices:   tools/jit_export/__init__.py
	Fix exceptions caused by switching inference devices:   tools/rvc_for_realtime.py

* restore

* replace(you can undo this commit)

* remove debug_print

---------

Co-authored-by: Ftps <ftpsflandre@gmail.com>

* Fixed some bugs when exporting ONNX model (#1254)

* fix import (#1280)

* fix import

* lint

* 🎨 同步 locale (#1242)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* Fix jit load and import issue (#1282)

* fix jit model loading :   infer/lib/rmvpe.py

* modified:   assets/hubert/.gitignore
	move file:    assets/hubert_inputs.pth -> assets/hubert/hubert_inputs.pth
	modified:   assets/rmvpe/.gitignore
	move file:    assets/rmvpe_inputs.pth -> assets/rmvpe/rmvpe_inputs.pth
	fix import:   gui_v1.py

* feat(workflow): trigger on dev

* feat(workflow): add close-pr on non-dev branch

* Add input wav and delay time monitor for real-time gui (#1293)

* feat(workflow): trigger on dev

* feat(workflow): add close-pr on non-dev branch

* 🎨 同步 locale (#1289)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* feat: edit PR template

* add input wav and delay time monitor

---------

Co-authored-by: 源文雨 <41315874+fumiama@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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* Optimize latency using scripted jit (#1291)

* feat(workflow): trigger on dev

* feat(workflow): add close-pr on non-dev branch

* 🎨 同步 locale (#1289)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* feat: edit PR template

* Optimize-latency-using-scripted:   configs/config.py
	Optimize-latency-using-scripted:   infer/lib/infer_pack/attentions.py
	Optimize-latency-using-scripted:   infer/lib/infer_pack/commons.py
	Optimize-latency-using-scripted:   infer/lib/infer_pack/models.py
	Optimize-latency-using-scripted:   infer/lib/infer_pack/modules.py
	Optimize-latency-using-scripted:   infer/lib/jit/__init__.py
	Optimize-latency-using-scripted:   infer/lib/jit/get_hubert.py
	Optimize-latency-using-scripted:   infer/lib/jit/get_rmvpe.py
	Optimize-latency-using-scripted:   infer/lib/jit/get_synthesizer.py
	Optimize-latency-using-scripted:   infer/lib/rmvpe.py
	Optimize-latency-using-scripted:   tools/rvc_for_realtime.py

* modified:   infer/lib/infer_pack/models.py

* fix some bug:   configs/config.py
	fix some bug:   infer/lib/infer_pack/models.py
	fix some bug:   infer/lib/rmvpe.py

* Fixed abnormal reference of logger in multiprocessing:   infer/modules/train/train.py

---------

Co-authored-by: 源文雨 <41315874+fumiama@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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* Format code (#1298)

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* 🎨 同步 locale (#1299)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* feat: optimize actions

* feat(workflow): add sync dev

* feat: optimize actions

* feat: optimize actions

* feat: optimize actions

* feat: optimize actions

* feat: add jit options (#1303)

Delete useless code:   infer/lib/jit/get_synthesizer.py
	Optimized code:   tools/rvc_for_realtime.py

* Code refactor + re-design inference ui (#1304)

* Code refacor + re-design inference ui

* Fix tabname

* i18n jp

---------

Co-authored-by: Ftps <ftpsflandre@gmail.com>

* feat: optimize actions

* feat: optimize actions

* Update README & en_US locale file (#1309)

* critical: some bug fixes (#1322)

* JIT acceleration switch does not support hot update

* fix padding bug of rmvpe in torch-directml

* fix padding bug of rmvpe in torch-directml

* Fix STFT under torch_directml (#1330)

* chore(format): run black on dev (#1318)

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* chore(i18n): sync locale on dev (#1317)

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* feat: allow for tta to be passed to uvr (#1361)

* chore(format): run black on dev (#1373)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* Added script for automatically download all needed models at install (#1366)

* Delete modules.py

* Add files via upload

* Add files via upload

* Add files via upload

* Add files via upload

* chore(i18n): sync locale on dev (#1377)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* chore(format): run black on dev (#1376)

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* Update IPEX library (#1362)

* Update IPEX library

* Update ipex index

* chore(format): run black on dev (#1378)

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---------

Co-authored-by: Chengjia Jiang <46401978+ChasonJiang@users.noreply.github.com>
Co-authored-by: Ftps <ftpsflandre@gmail.com>
Co-authored-by: shizuku_nia <102004222+ShizukuNia@users.noreply.github.com>
Co-authored-by: Ftps <63702646+Tps-F@users.noreply.github.com>
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This commit is contained in:
github-actions[bot]
2023-10-06 17:14:33 +08:00
committed by GitHub
parent fe166e7f3d
commit e9dd11bddb
42 changed files with 2014 additions and 1120 deletions
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209
gui_v1.py
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@@ -1,5 +1,4 @@
import os
import logging
import sys
from dotenv import load_dotenv
@@ -13,10 +12,16 @@ now_dir = os.getcwd()
sys.path.append(now_dir)
import multiprocessing
logger = logging.getLogger(__name__)
stream_latency = -1
def printt(strr, *args):
if len(args) == 0:
print(strr)
else:
print(strr % args)
class Harvest(multiprocessing.Process):
def __init__(self, inp_q, opt_q):
multiprocessing.Process.__init__(self)
@@ -62,9 +67,11 @@ if __name__ == "__main__":
import tools.rvc_for_realtime as rvc_for_realtime
from i18n.i18n import I18nAuto
from configs.config import Config
i18n = I18nAuto()
device = rvc_for_realtime.config.device
# device = rvc_for_realtime.config.device
# device = torch.device(
# "cuda"
# if torch.cuda.is_available()
@@ -86,8 +93,8 @@ if __name__ == "__main__":
self.block_time: float = 1.0 # s
self.buffer_num: int = 1
self.threhold: int = -60
self.crossfade_time: float = 0.04
self.extra_time: float = 2.0
self.crossfade_time: float = 0.05
self.extra_time: float = 2.5
self.I_noise_reduce = False
self.O_noise_reduce = False
self.rms_mix_rate = 0.0
@@ -99,7 +106,8 @@ if __name__ == "__main__":
class GUI:
def __init__(self) -> None:
self.config = GUIConfig()
self.gui_config = GUIConfig()
self.config = Config()
self.flag_vc = False
self.function = "vc"
self.delay_time = 0
@@ -130,9 +138,10 @@ if __name__ == "__main__":
"index_rate": "0",
"rms_mix_rate": "0",
"block_time": "0.25",
"crossfade_length": "0.04",
"extra_time": "2",
"crossfade_length": "0.05",
"extra_time": "2.5",
"f0method": "rmvpe",
"use_jit": False,
}
data["pm"] = data["f0method"] == "pm"
data["harvest"] = data["f0method"] == "harvest"
@@ -142,6 +151,7 @@ if __name__ == "__main__":
def launcher(self):
data = self.load()
self.config.use_jit = False # data.get("use_jit", self.config.use_jit)
sg.theme("LightBlue3")
input_devices, output_devices, _, _ = self.get_devices()
layout = [
@@ -294,6 +304,17 @@ if __name__ == "__main__":
enable_events=True,
),
],
# [
# sg.Text("设备延迟"),
# sg.Slider(
# range=(0, 1),
# key="device_latency",
# resolution=0.001,
# orientation="h",
# default_value=data.get("device_latency", "0.1"),
# enable_events=True,
# ),
# ],
[
sg.Text(i18n("harvest进程数")),
sg.Slider(
@@ -302,7 +323,7 @@ if __name__ == "__main__":
resolution=1,
orientation="h",
default_value=data.get(
"n_cpu", min(self.config.n_cpu, n_cpu)
"n_cpu", min(self.gui_config.n_cpu, n_cpu)
),
enable_events=True,
),
@@ -314,7 +335,7 @@ if __name__ == "__main__":
key="crossfade_length",
resolution=0.01,
orientation="h",
default_value=data.get("crossfade_length", "0.04"),
default_value=data.get("crossfade_length", "0.05"),
enable_events=True,
),
],
@@ -325,7 +346,7 @@ if __name__ == "__main__":
key="extra_time",
resolution=0.01,
orientation="h",
default_value=data.get("extra_time", "2.0"),
default_value=data.get("extra_time", "2.5"),
enable_events=True,
),
],
@@ -340,7 +361,14 @@ if __name__ == "__main__":
key="O_noise_reduce",
enable_events=True,
),
# sg.Checkbox(
# "JIT加速",
# default=self.config.use_jit,
# key="use_jit",
# enable_events=False,
# ),
],
# [sg.Text("注：首次使用JIT加速时，会出现卡顿，\n 并伴随一些噪音，但这是正常现象！")],
],
title=i18n("性能设置"),
),
@@ -382,24 +410,24 @@ if __name__ == "__main__":
prev_output = self.window["sg_output_device"].get()
input_devices, output_devices, _, _ = self.get_devices(update=True)
if prev_input not in input_devices:
self.config.sg_input_device = input_devices[0]
self.gui_config.sg_input_device = input_devices[0]
else:
self.config.sg_input_device = prev_input
self.gui_config.sg_input_device = prev_input
self.window["sg_input_device"].Update(values=input_devices)
self.window["sg_input_device"].Update(
value=self.config.sg_input_device
value=self.gui_config.sg_input_device
)
if prev_output not in output_devices:
self.config.sg_output_device = output_devices[0]
self.gui_config.sg_output_device = output_devices[0]
else:
self.config.sg_output_device = prev_output
self.gui_config.sg_output_device = prev_output
self.window["sg_output_device"].Update(values=output_devices)
self.window["sg_output_device"].Update(
value=self.config.sg_output_device
value=self.gui_config.sg_output_device
)
if event == "start_vc" and self.flag_vc == False:
if self.set_values(values) == True:
logger.info("cuda_is_available: %s", torch.cuda.is_available())
printt("cuda_is_available: %s", torch.cuda.is_available())
self.start_vc()
settings = {
"pth_path": values["pth_path"],
@@ -410,10 +438,13 @@ if __name__ == "__main__":
"pitch": values["pitch"],
"rms_mix_rate": values["rms_mix_rate"],
"index_rate": values["index_rate"],
# "device_latency": values["device_latency"],
"block_time": values["block_time"],
"crossfade_length": values["crossfade_length"],
"extra_time": values["extra_time"],
"n_cpu": values["n_cpu"],
# "use_jit": values["use_jit"],
"use_jit": False,
"f0method": ["pm", "harvest", "crepe", "rmvpe"][
[
values["pm"],
@@ -442,28 +473,28 @@ if __name__ == "__main__":
stream_latency = -1
# Parameter hot update
if event == "threhold":
self.config.threhold = values["threhold"]
self.gui_config.threhold = values["threhold"]
elif event == "pitch":
self.config.pitch = values["pitch"]
self.gui_config.pitch = values["pitch"]
if hasattr(self, "rvc"):
self.rvc.change_key(values["pitch"])
elif event == "index_rate":
self.config.index_rate = values["index_rate"]
self.gui_config.index_rate = values["index_rate"]
if hasattr(self, "rvc"):
self.rvc.change_index_rate(values["index_rate"])
elif event == "rms_mix_rate":
self.config.rms_mix_rate = values["rms_mix_rate"]
self.gui_config.rms_mix_rate = values["rms_mix_rate"]
elif event in ["pm", "harvest", "crepe", "rmvpe"]:
self.config.f0method = event
self.gui_config.f0method = event
elif event == "I_noise_reduce":
self.config.I_noise_reduce = values["I_noise_reduce"]
self.gui_config.I_noise_reduce = values["I_noise_reduce"]
if stream_latency > 0:
self.delay_time += (
1 if values["I_noise_reduce"] else -1
) * values["crossfade_length"]
self.window["delay_time"].update(int(self.delay_time * 1000))
elif event == "O_noise_reduce":
self.config.O_noise_reduce = values["O_noise_reduce"]
self.gui_config.O_noise_reduce = values["O_noise_reduce"]
elif event in ["vc", "im"]:
self.function = event
elif event != "start_vc" and self.flag_vc == True:
@@ -486,19 +517,21 @@ if __name__ == "__main__":
sg.popup(i18n("index文件路径不可包含中文"))
return False
self.set_devices(values["sg_input_device"], values["sg_output_device"])
self.config.pth_path = values["pth_path"]
self.config.index_path = values["index_path"]
self.config.threhold = values["threhold"]
self.config.pitch = values["pitch"]
self.config.block_time = values["block_time"]
self.config.crossfade_time = values["crossfade_length"]
self.config.extra_time = values["extra_time"]
self.config.I_noise_reduce = values["I_noise_reduce"]
self.config.O_noise_reduce = values["O_noise_reduce"]
self.config.rms_mix_rate = values["rms_mix_rate"]
self.config.index_rate = values["index_rate"]
self.config.n_cpu = values["n_cpu"]
self.config.f0method = ["pm", "harvest", "crepe", "rmvpe"][
self.config.use_jit = False # values["use_jit"]
# self.device_latency = values["device_latency"]
self.gui_config.pth_path = values["pth_path"]
self.gui_config.index_path = values["index_path"]
self.gui_config.threhold = values["threhold"]
self.gui_config.pitch = values["pitch"]
self.gui_config.block_time = values["block_time"]
self.gui_config.crossfade_time = values["crossfade_length"]
self.gui_config.extra_time = values["extra_time"]
self.gui_config.I_noise_reduce = values["I_noise_reduce"]
self.gui_config.O_noise_reduce = values["O_noise_reduce"]
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", "harvest", "crepe", "rmvpe"][
[
values["pm"],
values["harvest"],
@@ -512,34 +545,48 @@ if __name__ == "__main__":
torch.cuda.empty_cache()
self.flag_vc = True
self.rvc = rvc_for_realtime.RVC(
self.config.pitch,
self.config.pth_path,
self.config.index_path,
self.config.index_rate,
self.config.n_cpu,
self.gui_config.pitch,
self.gui_config.pth_path,
self.gui_config.index_path,
self.gui_config.index_rate,
self.gui_config.n_cpu,
inp_q,
opt_q,
device,
self.config,
self.rvc if hasattr(self, "rvc") else None,
)
self.config.samplerate = self.rvc.tgt_sr
self.gui_config.samplerate = self.rvc.tgt_sr
self.zc = self.rvc.tgt_sr // 100
self.block_frame = (
int(np.round(self.config.block_time * self.config.samplerate / self.zc))
int(
np.round(
self.gui_config.block_time
* self.gui_config.samplerate
/ self.zc
)
)
* self.zc
)
self.block_frame_16k = 160 * self.block_frame // self.zc
self.crossfade_frame = (
int(
np.round(
self.config.crossfade_time * self.config.samplerate / self.zc
self.gui_config.crossfade_time
* self.gui_config.samplerate
/ self.zc
)
)
* self.zc
)
self.sola_search_frame = self.zc
self.extra_frame = (
int(np.round(self.config.extra_time * self.config.samplerate / self.zc))
int(
np.round(
self.gui_config.extra_time
* self.gui_config.samplerate
/ self.zc
)
)
* self.zc
)
self.input_wav: torch.Tensor = torch.zeros(
@@ -547,12 +594,12 @@ if __name__ == "__main__":
+ self.crossfade_frame
+ self.sola_search_frame
+ self.block_frame,
device=device,
device=self.config.device,
dtype=torch.float32,
)
self.input_wav_res: torch.Tensor = torch.zeros(
160 * self.input_wav.shape[0] // self.zc,
device=device,
device=self.config.device,
dtype=torch.float32,
)
self.pitch: np.ndarray = np.zeros(
@@ -564,12 +611,12 @@ if __name__ == "__main__":
dtype="float64",
)
self.sola_buffer: torch.Tensor = torch.zeros(
self.crossfade_frame, device=device, dtype=torch.float32
self.crossfade_frame, device=self.config.device, dtype=torch.float32
)
self.nr_buffer: torch.Tensor = self.sola_buffer.clone()
self.output_buffer: torch.Tensor = self.input_wav.clone()
self.res_buffer: torch.Tensor = torch.zeros(
2 * self.zc, device=device, dtype=torch.float32
2 * self.zc, device=self.config.device, dtype=torch.float32
)
self.valid_rate = 1 - (self.extra_frame - 1) / self.input_wav.shape[0]
self.fade_in_window: torch.Tensor = (
@@ -580,7 +627,7 @@ if __name__ == "__main__":
0.0,
1.0,
steps=self.crossfade_frame,
device=device,
device=self.config.device,
dtype=torch.float32,
)
)
@@ -588,11 +635,13 @@ if __name__ == "__main__":
)
self.fade_out_window: torch.Tensor = 1 - self.fade_in_window
self.resampler = tat.Resample(
orig_freq=self.config.samplerate, new_freq=16000, dtype=torch.float32
).to(device)
orig_freq=self.gui_config.samplerate,
new_freq=16000,
dtype=torch.float32,
).to(self.config.device)
self.tg = TorchGate(
sr=self.config.samplerate, n_fft=4 * self.zc, prop_decrease=0.9
).to(device)
sr=self.gui_config.samplerate, n_fft=4 * self.zc, prop_decrease=0.9
).to(self.config.device)
thread_vc = threading.Thread(target=self.soundinput)
thread_vc.start()
@@ -605,15 +654,15 @@ if __name__ == "__main__":
channels=channels,
callback=self.audio_callback,
blocksize=self.block_frame,
samplerate=self.config.samplerate,
samplerate=self.gui_config.samplerate,
dtype="float32",
) as stream:
global stream_latency
stream_latency = stream.latency[-1]
while self.flag_vc:
time.sleep(self.config.block_time)
logger.debug("Audio block passed.")
logger.debug("ENDing VC")
time.sleep(self.gui_config.block_time)
printt("Audio block passed.")
printt("ENDing VC")
def audio_callback(
self, indata: np.ndarray, outdata: np.ndarray, frames, times, status
@@ -623,12 +672,12 @@ if __name__ == "__main__":
"""
start_time = time.perf_counter()
indata = librosa.to_mono(indata.T)
if self.config.threhold > -60:
if self.gui_config.threhold > -60:
rms = librosa.feature.rms(
y=indata, frame_length=4 * self.zc, hop_length=self.zc
)
db_threhold = (
librosa.amplitude_to_db(rms, ref=1.0)[0] < self.config.threhold
librosa.amplitude_to_db(rms, ref=1.0)[0] < self.gui_config.threhold
)
for i in range(db_threhold.shape[0]):
if db_threhold[i]:
@@ -636,12 +685,14 @@ if __name__ == "__main__":
self.input_wav[: -self.block_frame] = self.input_wav[
self.block_frame :
].clone()
self.input_wav[-self.block_frame :] = torch.from_numpy(indata).to(device)
self.input_wav[-self.block_frame :] = torch.from_numpy(indata).to(
self.config.device
)
self.input_wav_res[: -self.block_frame_16k] = self.input_wav_res[
self.block_frame_16k :
].clone()
# input noise reduction and resampling
if self.config.I_noise_reduce and self.function == "vc":
if self.gui_config.I_noise_reduce and self.function == "vc":
input_wav = self.input_wav[
-self.crossfade_frame - self.block_frame - 2 * self.zc :
]
@@ -667,7 +718,7 @@ if __name__ == "__main__":
# infer
if self.function == "vc":
f0_extractor_frame = self.block_frame_16k + 800
if self.config.f0method == "rmvpe":
if self.gui_config.f0method == "rmvpe":
f0_extractor_frame = (
5120 * ((f0_extractor_frame - 1) // 5120 + 1) - 160
)
@@ -678,7 +729,7 @@ if __name__ == "__main__":
self.valid_rate,
self.pitch,
self.pitchf,
self.config.f0method,
self.gui_config.f0method,
)
infer_wav = infer_wav[
-self.crossfade_frame - self.sola_search_frame - self.block_frame :
@@ -688,8 +739,8 @@ if __name__ == "__main__":
-self.crossfade_frame - self.sola_search_frame - self.block_frame :
].clone()
# output noise reduction
if (self.config.O_noise_reduce and self.function == "vc") or (
self.config.I_noise_reduce and self.function == "im"
if (self.gui_config.O_noise_reduce and self.function == "vc") or (
self.gui_config.I_noise_reduce and self.function == "im"
):
self.output_buffer[: -self.block_frame] = self.output_buffer[
self.block_frame :
@@ -699,7 +750,7 @@ if __name__ == "__main__":
infer_wav.unsqueeze(0), self.output_buffer.unsqueeze(0)
).squeeze(0)
# volume envelop mixing
if self.config.rms_mix_rate < 1 and self.function == "vc":
if self.gui_config.rms_mix_rate < 1 and self.function == "vc":
rms1 = librosa.feature.rms(
y=self.input_wav_res[-160 * infer_wav.shape[0] // self.zc :]
.cpu()
@@ -707,7 +758,7 @@ if __name__ == "__main__":
frame_length=640,
hop_length=160,
)
rms1 = torch.from_numpy(rms1).to(device)
rms1 = torch.from_numpy(rms1).to(self.config.device)
rms1 = F.interpolate(
rms1.unsqueeze(0),
size=infer_wav.shape[0] + 1,
@@ -719,7 +770,7 @@ if __name__ == "__main__":
frame_length=4 * self.zc,
hop_length=self.zc,
)
rms2 = torch.from_numpy(rms2).to(device)
rms2 = torch.from_numpy(rms2).to(self.config.device)
rms2 = F.interpolate(
rms2.unsqueeze(0),
size=infer_wav.shape[0] + 1,
@@ -728,7 +779,7 @@ if __name__ == "__main__":
)[0, 0, :-1]
rms2 = torch.max(rms2, torch.zeros_like(rms2) + 1e-3)
infer_wav *= torch.pow(
rms1 / rms2, torch.tensor(1 - self.config.rms_mix_rate)
rms1 / rms2, torch.tensor(1 - self.gui_config.rms_mix_rate)
)
# SOLA algorithm from https://github.com/yxlllc/DDSP-SVC
conv_input = infer_wav[
@@ -738,7 +789,7 @@ if __name__ == "__main__":
cor_den = torch.sqrt(
F.conv1d(
conv_input**2,
torch.ones(1, 1, self.crossfade_frame, device=device),
torch.ones(1, 1, self.crossfade_frame, device=self.config.device),
)
+ 1e-8
)
@@ -747,7 +798,7 @@ if __name__ == "__main__":
sola_offset = sola_offset.item()
else:
sola_offset = torch.argmax(cor_nom[0, 0] / cor_den[0, 0])
logger.debug("sola_offset = %d", int(sola_offset))
printt("sola_offset = %d", int(sola_offset))
infer_wav = infer_wav[
sola_offset : sola_offset + self.block_frame + self.crossfade_frame
]
@@ -764,7 +815,7 @@ if __name__ == "__main__":
)
total_time = time.perf_counter() - start_time
self.window["infer_time"].update(int(total_time * 1000))
logger.info("Infer time: %.2f", total_time)
printt("Infer time: %.2f", total_time)
def get_devices(self, update: bool = True):
"""获取设备列表"""
@@ -817,9 +868,7 @@ if __name__ == "__main__":
sd.default.device[1] = output_device_indices[
output_devices.index(output_device)
]
logger.info("Input device: %s:%s", str(sd.default.device[0]), input_device)
logger.info(
"Output device: %s:%s", str(sd.default.device[1]), output_device
)
printt("Input device: %s:%s", str(sd.default.device[0]), input_device)
printt("Output device: %s:%s", str(sd.default.device[1]), output_device)
gui = GUI()