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ROCm support for AMD GPUs on Linux (#1248)

* Added requirements for AMD GPUs
* Updated README with instructions on how to use RVC with ROCm
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WorXeN 2023-09-15 03:41:38 +02:00 committed by GitHub
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@ -57,6 +57,9 @@ pip install torch torchvision torchaudio
#For Windows + Nvidia Ampere Architecture(RTX30xx), you need to specify the cuda version corresponding to pytorch according to the experience of https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/issues/21 #For Windows + Nvidia Ampere Architecture(RTX30xx), you need to specify the cuda version corresponding to pytorch according to the experience of https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/issues/21
#pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117 #pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
#For Linux + AMD Cards, you need to use the following pytorch versions:
#pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.4.2
``` ```
Then can use poetry to install the other dependencies: Then can use poetry to install the other dependencies:
@ -75,12 +78,14 @@ You can also use pip to install them:
for Nvidia graphics cards for Nvidia graphics cards
pip install -r requirements.txt pip install -r requirements.txt
for AMD/Intel graphics cards for AMD/Intel graphics cards on Windows (DirectML)
pip install -r requirements-dml.txt pip install -r requirements-dml.txt
for Intel ARC graphics cards on Linux / WSL using Python 3.10: for Intel ARC graphics cards on Linux / WSL using Python 3.10:
pip install -r requirements-ipex.txt pip install -r requirements-ipex.txt
for AMD graphics cards on Linux (ROCm):
pip install -r requirements-amd.txt
``` ```
------ ------
@ -135,8 +140,32 @@ Then use this command to start Webui:
```bash ```bash
python infer-web.py python infer-web.py
``` ```
If you are using Windows or macOS, you can download and extract `RVC-beta.7z` to use RVC directly by using `go-web.bat` on windows or `sh ./run.sh` on macOS to start Webui. If you are using Windows or macOS, you can download and extract `RVC-beta.7z` to use RVC directly by using `go-web.bat` on windows or `sh ./run.sh` on macOS to start Webui.
## ROCm Support for AMD graphic cards (Linux only)
To use ROCm on Linux install all required drivers as described [here](https://rocm.docs.amd.com/en/latest/deploy/linux/os-native/install.html).
On Arch use pacman to install the driver:
````
pacman -S rocm-hip-sdk rocm-opencl-sdk
````
You might also need to set these environment variables (e.g. on a RX6700XT):
````
export ROCM_PATH=/opt/rocm
export HSA_OVERRIDE_GFX_VERSION=10.3.0
````
Also make sure your user is part of the `render` and `video` group:
````
sudo usermod -aG render $USERNAME
sudo usermod -aG video $USERNAME
````
After that you can run the WebUI:
```bash
python infer-web.py
```
## Credits ## Credits
+ [ContentVec](https://github.com/auspicious3000/contentvec/) + [ContentVec](https://github.com/auspicious3000/contentvec/)
+ [VITS](https://github.com/jaywalnut310/vits) + [VITS](https://github.com/jaywalnut310/vits)

48
requirements-amd.txt Normal file
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@ -0,0 +1,48 @@
tensorflow-rocm
joblib>=1.1.0
numba==0.56.4
numpy==1.23.5
scipy
librosa==0.9.1
llvmlite==0.39.0
fairseq==0.12.2
faiss-cpu==1.7.3
gradio==3.34.0
Cython
pydub>=0.25.1
soundfile>=0.12.1
ffmpeg-python>=0.2.0
tensorboardX
Jinja2>=3.1.2
json5
Markdown
matplotlib>=3.7.0
matplotlib-inline>=0.1.3
praat-parselmouth>=0.4.2
Pillow>=9.1.1
resampy>=0.4.2
scikit-learn
tensorboard
tqdm>=4.63.1
tornado>=6.1
Werkzeug>=2.2.3
uc-micro-py>=1.0.1
sympy>=1.11.1
tabulate>=0.8.10
PyYAML>=6.0
pyasn1>=0.4.8
pyasn1-modules>=0.2.8
fsspec>=2022.11.0
absl-py>=1.2.0
audioread
uvicorn>=0.21.1
colorama>=0.4.5
pyworld==0.3.2
httpx
onnxruntime
onnxruntime-gpu
torchcrepe==0.0.20
fastapi==0.88
ffmpy==0.3.1
python-dotenv>=1.0.0
av