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
35 lines
1.1 KiB
Bash
Executable File
35 lines
1.1 KiB
Bash
Executable File
#!/usr/bin/env bash
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set -euo pipefail
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source "$(dirname "${BASH_SOURCE[0]}")/build_common.sh"
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print_environment_details
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# libnvfatbin is required by hostjit but is not included in the base rapidsai devcontainer
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# image. Detect the installed CTK version and install the matching package if missing.
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if [[ "$(uname -s)" == "Linux" ]] && ! ldconfig -p 2>/dev/null | grep -q libnvfatbin; then
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CTK_DEB_VER=$(nvcc --version 2>/dev/null \
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| grep -oP 'release \K[0-9]+\.[0-9]+' | tr '.' '-')
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if [[ -n "$CTK_DEB_VER" ]]; then
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echo "Installing libnvfatbin-dev-${CTK_DEB_VER}..."
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sudo apt-get update -y
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sudo apt-get install -y --no-install-recommends "libnvfatbin-dev-${CTK_DEB_VER}"
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else
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echo "WARNING: could not determine CTK version; skipping libnvfatbin install"
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fi
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fi
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PRESET="cccl-c-parallel-v2"
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CMAKE_OPTIONS=()
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if test -n "${CXX_STANDARD:+x}"; then
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CMAKE_OPTIONS+=("-DCMAKE_CXX_STANDARD=${CXX_STANDARD}" "-DCMAKE_CUDA_STANDARD=${CXX_STANDARD}")
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fi
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configure_and_build_preset "CCCL C Parallel Library v2 (HostJIT)" "$PRESET" "${CMAKE_OPTIONS[@]}"
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test_preset "CCCL C Parallel Library v2 (HostJIT)" "$PRESET"
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print_time_summary
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