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
29 lines
705 B
Bash
Executable File
29 lines
705 B
Bash
Executable File
#!/usr/bin/env bash
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set -eo pipefail
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# Ensure the script is being executed in its containing directory
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cd "$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )";
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# TBD: verbose? any extra args?
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source ./pretty_printing.sh
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pushd .. > /dev/null
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GROUP_NAME="🛠️ CMake Configure Libcudacxx Codegen"
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run_command "$GROUP_NAME" cmake --preset libcudacxx-codegen
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status=$?
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popd > /dev/null
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pushd .. > /dev/null
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GROUP_NAME="🏗️ Build Libcudacxx Codegen"
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run_command "$GROUP_NAME" cmake --build --preset libcudacxx-codegen
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status=$?
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popd > /dev/null
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pushd .. > /dev/null
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GROUP_NAME="🚀 Test Libcudacxx Codegen"
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run_command "$GROUP_NAME" ctest --preset libcudacxx-codegen
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status=$?
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popd > /dev/null
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