2a7ca101d7
Sparse-checkout from NVIDIA/cccl main branch to complete cccl_upstream: Added: - python/cuda_cccl/ (226 files) — Python bindings for device-level algorithms Critical for muh toolchain: cuda.compute.reduce_into, scan, radix_sort, etc. Includes 204 .py files with full test coverage for all 27 algorithms - ci/ (163 files) — Build/test infrastructure build_cub.sh, test_cub.sh, build_and_test_targets.sh, matrix.yaml Directly maps to our [INFRA-CI] and [INFRA-BUILD] items - .agent/skills/ (7 files) — NVIDIA's own agent skills for CCCL cccl-style/SKILL.md, cccl-test/SKILL.md, sass-diff/SKILL.md - docs/ (491 files) — Official CCCL documentation CI references, CMake guides, Python compute docs, libcudacxx PTX docs - test/ (12 files) — Top-level integration tests (cuda_smoke, stdpar) - Root configs: .clang-format, .clang-tidy, CONTRIBUTING.md, pyproject.toml - CLAUDE.md symlink → AGENTS.md (NVIDIA's standard) cccl_upstream now mirrors full NVIDIA/cccl structure: Before: 42M (cub + thrust + libcudacxx + cudax + c + examples + benchmarks) After: 53M (+python +ci +docs +.agent +test +configs) This completes the CCCL base needed for: - [muh-bench] items: ci/util/build_and_test_targets.sh for targeted builds - [CCCL-verify] items: python/cuda_cccl/tests/ as reference implementations - [CCCL-test] items: ci/test_cub.sh, ci/test_thrust.sh - Agent workflow: .agent/skills/ for consistent style and test patterns
205 lines
5.7 KiB
TOML
205 lines
5.7 KiB
TOML
# Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. ALL RIGHTS RESERVED.
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#
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# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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[build-system]
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# cmake>=3.30 is needed for FindCUDAToolkit's CUDA::nvfatbin /
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# CUDA::nvfatbin_static imported targets, which the v2 (HostJIT) backend links
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# against. Listed here so isolated builds (pip's default) pick it up.
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requires = ["scikit-build-core>=0.10", "setuptools_scm", "cython>=3.1.0", "cmake>=3.30"]
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build-backend = "scikit_build_core.build"
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[project]
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name = "cuda-cccl"
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description = "CUDA Core Compute Libraries for Python"
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authors = [{ name = "NVIDIA Corporation" }]
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classifiers = [
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"Development Status :: 4 - Beta",
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"Intended Audience :: Developers",
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"Topic :: Software Development :: Libraries :: Python Modules",
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"Programming Language :: Python :: 3 :: Only",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Python :: 3.13",
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"Programming Language :: Python :: 3.14",
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"Environment :: GPU :: NVIDIA CUDA",
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"License :: OSI Approved :: Apache Software License",
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"Operating System :: POSIX :: Linux",
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"Operating System :: Microsoft :: Windows",
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]
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requires-python = ">=3.10"
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dependencies = [
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"numpy",
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"cuda-pathfinder>=1.2.3",
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"cuda-core",
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"typing_extensions",
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]
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dynamic = ["version"]
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readme = { file = "README.md", content-type = "text/markdown" }
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[project.optional-dependencies]
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minimal-cu12 = [
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"cuda-bindings>=12.9.1,<13.0.0",
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"cuda-toolkit[nvrtc,nvjitlink,cudart,nvcc]==12.*",
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]
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minimal-cu13 = [
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"cuda-bindings>=13.0.0,<14.0.0",
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"cuda-toolkit[nvrtc,nvjitlink,cudart,nvcc,nvvm]==13.*",
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]
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# sysctk variants: like cu12/cu13 but without cuda-toolkit — the user is
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# responsible for providing a compatible CUDA toolkit
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minimal-sysctk12 = [
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"cuda-bindings>=12.9.1,<13.0.0",
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]
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minimal-sysctk13 = [
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"cuda-bindings>=13.0.0,<14.0.0",
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]
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cu12 = [
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"cuda-cccl[minimal-cu12]",
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# numba-cuda currently expects numba.cuda.types.NPDatetime, removed in numba 0.66.
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"numba>=0.60.0,<0.66",
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"numba-cuda[cu12]>=0.23.0,!=0.27.*,!=0.28.*,!=0.29.*,!=0.30.0",
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]
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cu13 = [
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"cuda-cccl[minimal-cu13]",
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# numba-cuda currently expects numba.cuda.types.NPDatetime, removed in numba 0.66.
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"numba>=0.60.0,<0.66",
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"numba-cuda[cu13]>=0.23.0,!=0.27.*,!=0.28.*,!=0.29.*,!=0.30.0"
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]
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sysctk12 = [
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"cuda-cccl[minimal-sysctk12]",
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# numba-cuda currently expects numba.cuda.types.NPDatetime, removed in numba 0.66.
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"numba>=0.60.0,<0.66",
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# plain numba-cuda (no [cu12]) so it relies on the system-provided CUDA toolkit
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# instead of pulling the toolkit from pip -- the whole point of the sysctk extra.
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"numba-cuda>=0.23.0,!=0.27.*,!=0.28.*,!=0.29.*,!=0.30.0"
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]
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sysctk13 = [
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"cuda-cccl[minimal-sysctk13]",
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# numba-cuda currently expects numba.cuda.types.NPDatetime, removed in numba 0.66.
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"numba>=0.60.0,<0.66",
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# plain numba-cuda (no [cu13]) so it relies on the system-provided CUDA toolkit
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# instead of pulling the toolkit from pip -- the whole point of the sysctk extra.
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"numba-cuda>=0.23.0,!=0.27.*,!=0.28.*,!=0.29.*,!=0.30.0",
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]
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# The test extras do not include CuPy. The cuda.compute examples (run via
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# tests/test_examples.py) require it; install it separately (e.g.
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# `pip install cupy-cuda13x`).
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test-cu12 = [
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# an undocumented way to inherit the dependencies of the cu12 extra.
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# GH pypa #11296
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"cuda-cccl[cu12]",
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"pytest",
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"pytest-xdist",
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]
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test-cu13 = ["cuda-cccl[cu13]", "pytest", "pytest-xdist"]
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test-sysctk12 = [
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"cuda-cccl[sysctk12]",
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"pytest",
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"pytest-xdist",
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]
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test-sysctk13 = [
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"cuda-cccl[sysctk13]",
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"pytest",
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"pytest-xdist",
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]
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bench-cu12 = [
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"cuda-cccl[cu12]",
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"cuda-bench[cu12]",
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"cupy-cuda12x",
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"pytest-benchmark",
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]
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bench-cu13 = [
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"cuda-cccl[cu13]",
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"cuda-bench[cu13]",
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"cupy-cuda13x",
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"pytest-benchmark",
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]
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bench-sysctk12 = [
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"cuda-cccl[sysctk12]",
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"cuda-bench[cu12]",
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"cupy-cuda12x",
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"pytest-benchmark",
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]
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bench-sysctk13 = [
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"cuda-cccl[sysctk13]",
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"cuda-bench[cu13]",
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"cupy-cuda13x",
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"pytest-benchmark",
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]
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[project.urls]
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Homepage = "https://github.com/NVIDIA/cccl"
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Repository = "https://github.com/NVIDIA/cccl"
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Documentation = "https://nvidia.github.io/cccl"
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Issues = "https://github.com/NVIDIA/cccl/issues"
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[tool.scikit-build]
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minimum-version = "build-system.requires"
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build-dir = "build/{wheel_tag}"
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[tool.scikit-build.cmake]
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version = ">=3.30"
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args = []
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build-type = "Release"
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source-dir = "."
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[tool.scikit-build.ninja]
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version = ">=1.11"
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make-fallback = true
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[tool.scikit-build.metadata.version]
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provider = "scikit_build_core.metadata.setuptools_scm"
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[tool.setuptools_scm]
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root = "../.."
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git_describe_command = ["git", "describe", "--tags", "--match", "v[0-9]*"]
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[tool.scikit-build.wheel.packages]
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"cuda" = "cuda"
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[tool.mypy]
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cache_dir = "../../.cache/mypy"
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python_version = "3.10"
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[[tool.mypy.overrides]]
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module = [
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# numpy>=2.3 stubs use PEP 695 syntax that mypy can't parse under
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# python_version=3.10; skip following its imports to keep the 3.10 target.
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"numpy",
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"numpy.*",
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"numba.*",
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"llvmlite.*",
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"cuda.cccl.*",
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"cuda.bindings.*",
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"cuda.core.*",
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"cuda.pathfinder.*",
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]
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ignore_missing_imports = true
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follow_imports = "skip"
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[tool.ruff]
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extend = "../../pyproject.toml"
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[tool.ruff.lint.isort]
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known-first-party = [
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"cuda.cccl",
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"cuda.cccl.headers",
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"cuda.compute",
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]
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[tool.pytest.ini_options]
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# Make shared helpers in tests/_utils importable when pytest runs outside tests/.
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pythonpath = ["tests"]
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markers = [
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"no_verify_sass: skip SASS verification check",
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"large: tests requiring large device memory allocations",
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"no_numba: tests that should not import numba or numba.cuda",
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"free_threading: tests requiring free-threaded CPython with the GIL disabled",
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"serialization: serialize/deserialize tests (skipped on the v2 HostJIT backend)",
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]
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