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\cuda to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2
• Restart IntelliJ IDEA

3. Check Device List

python -c "from tensorflow.python.client import device_lib; print(device_lib.list_local_devices())"

Arch Linux (CUDA)

Python (3.9.11)

python -m venv venv
source ./venv/bin/activate
pip install -r requirements-win-cuda.txt
sudo pacman -S tensorflow-cuda
python -c "from tensorflow.python.client import device_lib; print(device_lib.list_local_devices())"