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In the training tab when I click to extract features, this is what happens to all the sliced audio samples
Starting pitch extraction with 16 cores on cuda:0 using rmvpe...
C:\Users\linsi\Downloads\Applio-3.2.9\env\lib\site-packages\librosa\util\files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
from pkg_resources import resource_filename
0%| | 0/1324 [00:00<?, ?it/s]An error occurred extracting file C:\Users\linsi\Downloads\Applio-3.2.9\logs\GI Juh\sliced_audios_16k\0_0_100.wav on cuda:0: CUDA error: invalid argument
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
An error occurred extracting file C:\Users\linsi\Downloads\Applio-3.2.9\logs\GI Juh\sliced_audios_16k\0_0_10.wav on cuda:0: CUDA error: invalid argument
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
The text was updated successfully, but these errors were encountered:
I have an 7900xtx
In the training tab when I click to extract features, this is what happens to all the sliced audio samples
Starting pitch extraction with 16 cores on cuda:0 using rmvpe...
C:\Users\linsi\Downloads\Applio-3.2.9\env\lib\site-packages\librosa\util\files.py:10: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
from pkg_resources import resource_filename
0%| | 0/1324 [00:00<?, ?it/s]An error occurred extracting file C:\Users\linsi\Downloads\Applio-3.2.9\logs\GI Juh\sliced_audios_16k\0_0_100.wav on cuda:0: CUDA error: invalid argument
Compile with
TORCH_USE_CUDA_DSA
to enable device-side assertions.An error occurred extracting file C:\Users\linsi\Downloads\Applio-3.2.9\logs\GI Juh\sliced_audios_16k\0_0_10.wav on cuda:0: CUDA error: invalid argument
Compile with
TORCH_USE_CUDA_DSA
to enable device-side assertions.The text was updated successfully, but these errors were encountered: