UVR not working: same output as the input and freezes on using CPU
alcoftTAO opened this issue · comments
Hello again! I have one issue with UVR.
My code is:
from pathlib import Path
from scipy.io import wavfile
from rvc.modules.uvr5.vr import AudioPreprocess
import os
import sys
import platform
currentCWD = os.getcwd()
path = sys.prefix
system = platform.system().lower()
if (system == "windows"):
path = path + "\\Lib\\site-packages"
else:
pythonVersion = sys.version_info
path = path + "/lib/python" + str(pythonVersion[0]) + "." + str(pythonVersion[1]) + "/site-packages"
os.chdir(path)
os.environ["TEMP"] = currentCWD
os.environ["weight_uvr5_root"] = currentCWD + "/uvr_assets"
model_path: str = "9_HP2-UVR.pth"
audio_path: str = "audio.wav"
agg: int = 10
uvr: AudioPreprocess = AudioPreprocess(model_path, agg, False)
uvr.config.use_cuda()
uvr.model.to("cuda")
print("Model loaded!")
inst, vocals, sr, _ = uvr.process(music_file = currentCWD + "/" + audio_path)
os.chdir(currentCWD)
wavfile.write("vocals.wav", sr, vocals)
wavfile.write("inst.wav", sr, inst)
print("Done!")The output is:
Model loaded!
0%| | 0/19 [00:00<?, ?it/s]/home/alcoft/Projects/Tests_I4.0/LibI4/Python_AI/.env/lib/python3.12/site-packages/torch/nn/modules/conv.py:456: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
return F.conv2d(input, weight, bias, self.stride,
100%|███████████████████████████████████████████| 19/19 [00:01<00:00, 10.89it/s]
Done!
And the audio output (both vocal and instrumental) are the same as the input.
Running python -c "import torch; print(torch.backends.cudnn.is_available())" prints True.
Also, when trying to use the CPU for the inference the code freezes here:
Model loaded!
0%| | 0/19 [00:00<?, ?it/s]
When this happens, the code does not use my CPU at all. The code does not print any error message.
My CPU it's not a very good CPU, but it should be enough for inference.
My GPU is a NVIDIA RTX 3050 and my OS is Arch Linux.
I have cuda, cudnn and nvidia drivers installed on my OS.
My Python version is Python 3.12.3
The UVR model I'm using is 9_HP2-UVR.pth.
If the problem is related with the UVR model I'm using, please recommend one that works.
How much Ram do you have?
I had a kind of similar problem and downgrading to python 3.10.4 fixed.
It seems that one of the required library faiss is not ported to python 3.12 yet .
How much Ram do you have?
I have 16 GB of RAM.
I had a kind of similar problem and downgrading to python 3.10.4 fixed.
Thanks for the help, I would like to downgrade to 3.10.4, but I'm using RVC and UVR as a library on another project and the downgrade may cause some errors, I will keep this issue open for now.
It seems to be happening even if it is not the CPU. I'll fix it.
same issue on python 3.10.14 using MPS
