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78 lines (72 loc) · 2.38 KB
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[build-system]
requires = ["setuptools>=64", "cmake>=3.18", "ninja==1.11.1.1", "pybind11[global]>=2.13,<3"]
build-backend = "setuptools.build_meta"
[project]
name = "nvidia-cudnn-frontend"
dynamic = ["version"]
description = "NVIDIA cuDNN Frontend — Python and C++ Graph API with SOTA attention (SDPA / Flash Attention), MoE grouped GEMM fusions, and FP8/MXFP8 kernels for Hopper and Blackwell GPUs."
readme = "README.md"
requires-python = ">=3.9"
license = {text = "MIT"}
keywords = [
"cudnn",
"cuda",
"gpu",
"nvidia",
"deep-learning",
"attention",
"sdpa",
"flash-attention",
"transformer",
"moe",
"mixture-of-experts",
"grouped-gemm",
"fp8",
"mxfp8",
"blackwell",
"hopper",
"pytorch",
"kernel",
"graph-api",
]
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: POSIX :: Linux",
"Operating System :: Microsoft :: Windows",
"Programming Language :: C++",
"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",
"Environment :: GPU :: NVIDIA CUDA",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries :: Python Modules",
]
[tool.setuptools]
packages = {find = {where = ["python", "."], include = ["cudnn*", "include"], namespaces = true}}
package-dir = {"" = "python", "include" = "include"}
include-package-data = true
[project.urls]
"Homepage" = "https://github.com/NVIDIA/cudnn-frontend"
"Documentation" = "https://docs.nvidia.com/deeplearning/cudnn/frontend/latest/"
"Blog" = "https://nvidia.github.io/cudnn-frontend/"
"Repository" = "https://github.com/NVIDIA/cudnn-frontend"
"Bug Tracker" = "https://github.com/NVIDIA/cudnn-frontend/issues"
"Release Notes" = "https://github.com/NVIDIA/cudnn-frontend/releases"
[tool.setuptools.dynamic]
version = {attr = "cudnn.__version__"}
[tool.setuptools.package-data]
include = ["**/*"]
[project.optional-dependencies]
cutedsl = [
"nvidia-cutlass-dsl[cu13]==4.5.0",
"cuda-python",
"torch",
"apache-tvm-ffi",
"torch-c-dlpack-ext",
]