pyxlog

pyxlog provides Python bindings for the XLOG GPU-accelerated probabilistic logic programming runtime.

The package is built from the BrainyBlaze/xlog repository and exposes the native extension module together with the staged CUDA kernel artifacts needed by the runtime.

At import time, pyxlog prefers packaged kernel artifacts under pyxlog/kernels/ and exports that path to XLOG_CUBIN_DIR automatically when the wheel includes them. For source-tree validation, ad-hoc probe scripts, or artifact runners that execute without the packaged kernel directory, set XLOG_CUBIN_DIR explicitly to a directory containing .cubin or .portable.ptx files before importing pyxlog.

Project documentation, setup instructions, and release notes live in the repository root:

• https://github.com/BrainyBlaze/xlog

Use the root project README for installation requirements, CUDA expectations, and end-to-end examples. For local source-tree installs, use the repository helper from the root directory so the wheel is built for and installed into the same Python interpreter your downstream project uses:

python scripts/install_pyxlog_for_python.py --python /usr/local/bin/python --user