1. pject folder:
cd inside
2. create environment:
python -m venv .venv
3. Activate environment:
.venv\Scripts\Activate
4. Install PyTorch with CUDA 12.1:
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
5. Check that the GPU is available:
python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
6. Install the remaining required packages:
pip install numpy
pip install tqdm
pip install matplotlib
pip install tensorboard
7. Start training:
python train.py
Training saves after 10,000 hands and prints results. Interested to see what number of hands it gets per second....