Installation¶
Step 1: Install PyTorch¶
The octonion library requires PyTorch but does not install it automatically, because the correct PyTorch version depends on your hardware (CPU, CUDA, ROCm).
Install PyTorch first following the official instructions:
# CPU only
pip install torch --index-url https://download.pytorch.org/whl/cpu
# CUDA 12.x
pip install torch --index-url https://download.pytorch.org/whl/cu124
# ROCm 6.x (AMD GPUs)
pip install torch --index-url https://download.pytorch.org/whl/rocm6.2
Step 2: Install octonion¶
# Core library (algebra + trie)
pip install octonion
# Full research stack (includes visualization, optimization, benchmarks)
pip install octonion[full]
For development¶
git clone https://github.com/realnedsanders/octonion-computation-substrate.git
cd octonion-computation-substrate
pip install -e ".[dev]"
Or using the Docker dev container (recommended for ROCm):