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
21 lines
511 B
Bash
Executable File
21 lines
511 B
Bash
Executable File
#!/usr/bin/env bash
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# CI wrapper for the `target` project build job.
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# Forwards all arguments to ci/util/build_and_test_targets.sh to configure
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# and build selected targets on a CPU runner.
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set -euo pipefail
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ci_dir=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
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repo_dir=$(cd "${ci_dir}/.." && pwd)
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user_args=("$@")
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set --
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source "${ci_dir}/build_common.sh"
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set -- "${user_args[@]}"
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cd "${repo_dir}"
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cmd=("${ci_dir}/util/build_and_test_targets.sh" "$@")
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printf '\033[34m%s\033[0m\n' "${cmd[*]}"
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"${cmd[@]}"
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