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pyproject.toml
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47 lines (42 loc) · 1.51 KB
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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "cuda-kernel-verifier"
version = "1.0.2"
description = "Lightweight runtime correctness checker for custom CUDA/Triton kernels via statistical sampling and outlier-aware comparison."
readme = "README.md"
license = { text = "MIT" }
requires-python = ">=3.11"
keywords = ["cuda", "triton", "kernel", "verification", "pytorch", "sampling"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3.14",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Testing",
]
# torch is listed as a dependency but the CUDA variant must be installed via
# PyTorch's own index. See the README for the recommended install command.
dependencies = [
"torch>=2.3.0",
]
[project.urls]
Homepage = "https://github.com/your-org/cuda-kernel-verifier"
Repository = "https://github.com/your-org/cuda-kernel-verifier"
Issues = "https://github.com/your-org/cuda-kernel-verifier/issues"
[tool.hatch.build.targets.wheel]
packages = ["src/cuda_kernel_verifier"]
[tool.hatch.build.targets.sdist]
include = [
"src/",
"examples/",
"README.md",
"pyproject.toml",
]