Open jessienab opened 2 months ago
Have the same problem. I've made the steps to install whisperx exactly from the repository guide
Ubuntu 20.04, wsl2
It seems like perhaps pytorch and torchaudio need to be updated to work with the latest Nvidia integration. There are a slew of other issues out there like this as of February:
https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/649
Unfortunately, I don't get much better results when updating to newer versions:
RuntimeError: parallel_for failed: cudaErrorNoKernelImageForDevice: no kernel image is available for execution on the device
RuntimeError: parallel_for failed: cudaErrorNoKernelImageForDevice: no kernel image is available for execution on the device
RuntimeError: parallel_for failed: cudaErrorNoKernelImageForDevice: no kernel image is available for execution on the device
Could not load library libcudnn_ops_infer.so.8. Error: libcudnn_ops_infer.so.8: cannot open shared object file: No such file or directory
Looks like the errors I was seeing with 2.1.0 through 2.3.0 are covered by https://github.com/m-bain/whisperX/issues/794 and the workaround there works for me when using this environment.yaml:
name: whisperX
channels:
- pytorch
- nvidia
- defaults
dependencies:
- python=3.10
- pip
- pytorch==2.3.1
- torchaudio==2.3.1
- pytorch-cuda=11.8
- torchvision==0.18.1
- pip:
- git+https://github.com/m-bain/whisperx.git
I want to give a heads up to those not using conda and using a standard virtual python environment. Install these
pip install nvidia-cudnn-cu12==8.9.7.29
pip install ctranslate2
Find the path of the libcudnn file
sudo find / -type f -iname '*libcudnn_ops_infer.so.8*'
export it to the terminal, it should look something like this
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/user/whisperx/lib/python3.11/site-packages/nvidia/cudnn/lib/
Now you it should work
whisperx --model large-v3 --language en audio.wav
I am running the cpu install on linux... I encountered this same error... searched around a lot.... I was able to get things running by using:
pip install -U torch torchaudio
NOTE: I also needed to add a flag to my command when I called whisperx...
--compute_type int8
this was detailed #348
totomtornado solution :
pip install -U torch torchaudio
fixed it for me
pip install -U torch torchaudio
worked for me
Hello, I attempt to start a transcription using a cloud compute provider, but I encounter an error I can't find any information about online...
Genuinely unsure how to proceed. I followed install instructions (near) exactly per README:
Input audiofile is 2 channel FLAC 44.1khz/16-bit or WAV pcm_s16le.
Thank you!