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
38 lines
1.2 KiB
PowerShell
38 lines
1.2 KiB
PowerShell
Param(
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[Parameter(Mandatory = $true)]
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[Alias("py-version")]
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[ValidatePattern("^\d+\.\d+t?$")]
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[string]$PyVersion,
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[Alias("ctk-mode")]
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[string]$CtkMode = ""
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)
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$ErrorActionPreference = "Stop"
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# Import shared helpers
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Import-Module "$PSScriptRoot/build_common.psm1"
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Import-Module "$PSScriptRoot/build_common_python.psm1"
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$python = Get-Python -Version $PyVersion
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$cudaMajor = Get-CudaMajor
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$ctkFlavor = Get-CtkExtraFlavor $CtkMode
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# Pin cuda-toolkit to the container's CTK minor (-ctk-mode latest
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# opts out). See build_common_python.psm1.
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Set-CtkPin $CtkMode
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$repoRoot = Get-RepoRoot
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$wheelPath = Get-CudaCcclWheel
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Invoke-Checked { & $python -m pip install -U pip pytest pytest-xdist } "Failed to install pytest / pytest-xdist"
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Invoke-Checked { & $python -m pip install "$wheelPath[test-$ctkFlavor$cudaMajor]" } "Failed to install cuda_cccl test extra"
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Push-Location (Join-Path $repoRoot "python/cuda_cccl/tests")
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try {
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Invoke-Checked { & $python -m pytest -n 6 -v compute/ -m "not large and not free_threading" } "compute tests (not large) failed"
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Invoke-Checked { & $python -m pytest -n 0 -v compute/ -m "large and not free_threading" } "compute tests (large) failed"
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}
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finally { Pop-Location }
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