Files
nvbench/python/pyproject.toml
Oleksandr Pavlyk 361c0337be Use cuda-pathfinder instead of cuda-bindings for Pathfinder
Removed use of __all__ per PR feedback. Emit warnings.warn if
version information could not be retrieved from the package metadata,
e.g., package has been renamed by source code was not updated.
2025-07-28 15:37:05 -05:00

60 lines
1.4 KiB
TOML

[build-system]
requires = ["scikit-build-core>=0.10", "setuptools_scm"]
build-backend = "scikit_build_core.build"
[project]
name = "pynvbench"
description = "CUDA Kernel Benchmarking Package"
authors = [{ name = "NVIDIA Corporation" }]
classifiers = [
"Programming Language :: Python :: 3 :: Only",
"Environment :: GPU :: NVIDIA CUDA",
"License :: OSI Approved :: Apache Software License",
]
requires-python = ">=3.9"
dependencies = [
# pathfinder
"cuda-pathfinder",
# Library expects to find shared libraries
# libcupti, libnvperf_target, libnvperf_host
# pathfinder is used to find it in the Python layout
"nvidia-cuda-cupti-cu12",
# The shared library
# libnvidia-ml must be installed system-wide
# (Debian package provider: libnvidia-compute)
]
dynamic = ["version"]
readme = { file = "README.md", content-type = "text/markdown" }
[project.optional-dependencies]
test = ["pytest", "cupy-cuda12x", "numba"]
[project.urls]
Homepage = "https://developer.nvidia.com/"
[tool.scikit-build]
minimum-version = "build-system.requires"
build-dir = "build/{wheel_tag}"
[tool.scikit-build.cmake]
version = ">=3.30.4"
args = []
build-type = "Release"
source-dir = "."
[tool.scikit-build.ninja]
version = ">=1.11"
make-fallback = true
[tool.scikit-build.metadata.version]
provider = "scikit_build_core.metadata.setuptools_scm"
[tool.setuptools_scm]
root = ".."
[tool.scikit-build.wheel.packages]
"cuda" = "cuda"
"cuda/nvbench" = "cuda/nvbench"