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chore: restrict torch version to below 2.4 in dependencies (fix the libcudnn dependencies common issue) #1133

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chore: restrict torch version to below 2.4 in dependencies (fix the libcudnn dependencies common issue) #1133

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chore: restrict torch version to below 2.4 in dependencies
jim60105 May 4, 2025
d3dcb11
chore: restrict onnxruntime to version 1.19 for python 3.9 compatibility
jim60105 May 4, 2025
399010f
Revert "docs: add troubleshooting section for libcudnn dependencies i…
jim60105 Jun 13, 2025
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19 changes: 0 additions & 19 deletions README.md
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Expand Up @@ -97,25 +97,6 @@ uv sync --all-extras --dev

You may also need to install ffmpeg, rust etc. Follow openAI instructions here https://github.com/openai/whisper#setup.

### Common Issues & Troubleshooting 🔧

#### libcudnn Dependencies (GPU Users)

If you're using WhisperX with GPU support and encounter errors like:

- `Could not load library libcudnn_ops_infer.so.8`
- `Unable to load any of {libcudnn_cnn.so.9.1.0, libcudnn_cnn.so.9.1, libcudnn_cnn.so.9, libcudnn_cnn.so}`
- `libcudnn_ops_infer.so.8: cannot open shared object file: No such file or directory`

This means your system is missing the CUDA Deep Neural Network library (cuDNN). This library is needed for GPU acceleration but isn't always installed by default.

**Install cuDNN (example for apt based systems):**

```bash
sudo apt update
sudo apt install libcudnn8 libcudnn8-dev -y
```

### Speaker Diarization

To **enable Speaker Diarization**, include your Hugging Face access token (read) that you can generate from [Here](https://huggingface.co/settings/tokens) after the `--hf_token` argument and accept the user agreement for the following models: [Segmentation](https://huggingface.co/pyannote/segmentation-3.0) and [Speaker-Diarization-3.1](https://huggingface.co/pyannote/speaker-diarization-3.1) (if you choose to use Speaker-Diarization 2.x, follow requirements [here](https://huggingface.co/pyannote/speaker-diarization) instead.)
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6 changes: 3 additions & 3 deletions pyproject.toml
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Expand Up @@ -13,11 +13,11 @@ dependencies = [
"faster-whisper>=1.1.1",
"nltk>=3.9.1",
"numpy>=2.0.2",
"onnxruntime>=1.19",
"onnxruntime>=1.19,<1.20.0",
"pandas>=2.2.3",
"pyannote-audio>=3.3.2",
"torch>=2.5.1",
"torchaudio>=2.5.1",
"torch<2.4.0",
"torchaudio",
"transformers>=4.48.0",
]

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