mirror of
https://github.com/hykilpikonna/SpeechGenderAnalysis.git
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Analytical component of voice.hydev.org
| data | ||
| src | ||
| .gitattributes | ||
| .gitignore | ||
| README.md | ||
| requirements-mac.txt | ||
| requirements-win-cuda.txt | ||
| SpeechGenderAnalysis.iml | ||
SpeechGenderAnalysis
Setup
MacOS
1. Setup Python:
python3.8 -m venv venv8
source venv8/bin/activate
pip3 install -r requirements-mac.txt
2. Configure plaidml to use GPU:
plaidml-setup
3. Configure environment variables in the run script:
export KERAS_BACKEND="plaidml.keras.backend"
export tg_token="Your telegram token here"
Windows (CUDA)
1. Setup Python
python3.9 -m venv venv
.\venv\Scripts\activate
pip install -r requirements-win-cuda.txt
2. Install CUDA
- Install NVIDIA Drivers: https://www.nvidia.com/drivers
- Install CUDA 11.2 (for TensorFlow 2.7.0): https://developer.nvidia.com/cuda-toolkit-archive
- Download cuDNN 8.1: https://developer.nvidia.com/rdp/cudnn-archive
- Copy folders in
cudnn-11.2-windows-x64-v8.1.1.33\cudatoC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2
- Copy folders in
- Restart IntelliJ IDEA
3. Check Device List
python -c "from tensorflow.python.client import device_lib; print(device_lib.list_local_devices())"