gpuastar-cpp
gpuastar-cpp packages the C++ weighted A* solvers as a nanobind extension module that is imported as the Python package gpuastar_cpp. It registers the cpp backend through the gpuastar.backends entry-point group.
The extension exposes two solver entry points:
run_weighted_astar: the CPU solver in cxx/parallel_weighted_astar.cpp, parallelized with OpenMP. It evaluates the heuristic through an AOTInductor-compiled model package, loaded by cxx/aoti_manifest.cpp and cxx/aoti_heuristic.cpp.run_torch_gpu_astar: the GPU solver in cxx/torch_gpu_astar.cpp, written against the LibTorch C++ API. It keeps the open list, the closed set, and the state data in device tensors.
Environments
The package contains no concrete search domains. Environments are provided by plugin packages through the gpuastar_cpp.environments entry-point group. At import time, gpuastar_cpp passes a registrar PyCapsule to each plugin, and the plugin registers its compiled environment factories through the interface declared in cxx/environment_registry.h. The gpuastar-experiments-cpp package in ../experiments/cpp/ provides the example domains this way, and third-party packages can supply additional domains through the same group.
Building
In a source checkout, the extension is built with:
pixi run -e dev cpp-build-from-scratch
After changing the public headers in cxx/, also rebuild the plugin packages that compile against them. For the in-repo example plugin, remove experiments/cpp/build and re-run pixi install -e dev.
1 maintainer
Metadata
1 maintainer
Release files for gpuastar-cpp 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| gpuastar_cpp-0.1.0.tar.gz | 181.2 kB | Details |
Built distributions (wheels)
Total release size: 11.8 MB
Release files / gpuastar_cpp-0.1.0.tar.gz
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