iohann.s.titov@gmail.com Ivan S. Titov ONNX Runtime is Microsoft's cross-platform machine learning inference and training accelerator. Provides a C/C++/Python API plus optional execution providers for CPU, NVIDIA CUDA, AMD ROCm, OpenVINO, DirectML, CoreML, and others. Reads ONNX-format models and dispatches operators to whichever provider is registered. USE=python builds the Python bindings (numpy + flatbuffers + sympy + coloredlogs); USE=test pulls dev-cpp/gtest for the C++ test suite. Forked from ::guru @ same version; ebuild + 3 patches (relax flatbuffers dep, drop -Werror, use system libraries instead of vendored copies) imported verbatim. Eigen3 is still fetched as a specific gitlab archive commit because upstream onnxruntime's CMake requires Eigen features post-3.4.0 not yet in a tagged release. https://github.com/microsoft/onnxruntime/issues https://onnxruntime.ai/docs/ microsoft/onnxruntime libeigen/eigen