PyGPUkit/pyproject.toml at main · m96-chan/PyGPUkit · GitHub

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[build-system]
requires = ["scikit-build-core>=0.5.0", "pybind11>=2.11.0"]
build-backend = "scikit_build_core.build"

[project]
name = "PyGPUkit"
version = "0.2.19"
description = "A lightweight GPU runtime for Python with Rust-powered scheduler, NVRTC JIT compilation, and NumPy-like API"
readme = "README.md"
license = "MIT"
authors = [
    {name = "m96-chan"}
]
keywords = ["gpu", "cuda", "nvrtc", "jit", "numpy", "array"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "Operating System :: POSIX :: Linux",
    "Operating System :: Microsoft :: Windows",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "Programming Language :: Python :: 3.14",
    "Topic :: Scientific/Engineering",
    "Topic :: Software Development :: Libraries :: Python Modules",
]
requires-python = ">=3.10"
dependencies = [
    "numpy>=1.20.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.0.0",
    "pytest-cov>=4.0.0",
    "ruff>=0.1.0",
    "mypy>=1.0.0",
    "psutil>=5.0.0",
    "pre-commit>=3.0.0",
]
triton = [
    "triton>=3.0.0",
]

[project.urls]
Homepage = "https://github.com/m96-chan/PyGPUkit"
Repository = "https://github.com/m96-chan/PyGPUkit"
Issues = "https://github.com/m96-chan/PyGPUkit/issues"

[tool.scikit-build]
cmake.source-dir = "native"
cmake.build-type = "Release"
wheel.packages = ["src/pygpukit"]
wheel.install-dir = "pygpukit"
wheel.py-api = ""
# Ninja generator for faster builds
cmake.args = ["-GNinja"]
build.targets = []
sdist.include = ["native/*", "rust/*"]
sdist.exclude = ["native/build/*", "rust/target/*"]

# [tool.scikit-build.cmake.define]
# SM architectures are controlled via CMAKE_CUDA_ARCHITECTURES:
# - CMakeLists.txt default: "80;86;89;90" (CUDA 12.x compatible)
# - Override via CMAKE_ARGS env var: CMAKE_ARGS=-DCMAKE_CUDA_ARCHITECTURES=120
# - SM100+ (Blackwell) requires CUDA 12.8+ or 13.x

[tool.cibuildwheel]
# Skip PyPy, 32-bit builds, and musllinux
skip = ["pp*", "*-win32", "*-manylinux_i686", "*musllinux*"]

# Only build for Linux and Windows (CUDA support)
build = ["cp39-*", "cp310-*", "cp311-*", "cp312-*"]

[tool.cibuildwheel.linux]
# Use manylinux with CUDA
manylinux-x86_64-image = "manylinux2014"
before-all = [
    # Install CUDA Toolkit
    "yum install -y wget",
    "wget https://developer.download.nvidia.com/compute/cuda/12.4.0/local_installers/cuda-repo-rhel7-12-4-local-12.4.0_550.54.14-1.x86_64.rpm",
    "rpm -i cuda-repo-rhel7-12-4-local-12.4.0_550.54.14-1.x86_64.rpm",
    "yum clean all",
    "yum install -y cuda-toolkit-12-4",
]
environment = { PATH = "/usr/local/cuda-12.4/bin:$PATH", CUDA_HOME = "/usr/local/cuda-12.4" }

[tool.cibuildwheel.windows]
before-build = [
    # CUDA should be pre-installed on the runner
    "pip install pybind11",
]
environment = { CUDA_PATH = "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.4" }

[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
python_functions = ["test_*"]
addopts = "-v --tb=short"
markers = [
    "gpu: marks tests that require GPU hardware",
    "slow: marks tests as slow",
]

[tool.ruff]
target-version = "py39"
line-length = 100
src = ["src", "tests"]

[tool.ruff.lint]
select = ["E", "F", "W", "I", "B", "C4", "UP"]
ignore = ["E501"]

[tool.ruff.lint.per-file-ignores]
"examples/*" = ["E402", "B007", "F841", "F821"]
"src/pygpukit/jit/compiler.py" = ["E402", "F841"]
"bench*.py" = ["E402", "F841"]
"test_*.py" = ["E402", "F841"]
"demo_*.py" = ["E402", "F841"]

[tool.mypy]
python_version = "3.9"
warn_return_any = true
warn_unused_configs = true
ignore_missing_imports = true