[INFRA] Import NVIDIA/CCCL upstream as optimization reference library
CCCL (CUDA C++ Core Libraries) provides: - CUB: device/block/warp-level GPU primitives (reduce, scan, sort, topk) - Thrust: high-level parallel algorithms (transform_reduce, sort, scan) - libcudacxx: CUDA C++ standard library (atomics, barriers, memory) - cudax: experimental features (memory resources, allocators) - Tuning policies: per-SM hardware-specific algorithm parameters Competition optimization vectors mapped to CCCL: - Output TPS (83% weight): warp_reduce, block_reduce, device_topk - Input TPS (14% weight): device_scan, block_load, prefetch - Cache TPS (3% weight): prefix caching strategy patterns - Memory (0.9 util): pooled/cached/buddy allocators Source: https://github.com/NVIDIA/cccl (shallow clone, HEAD only) License: Apache-2.0
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# For every public header, build a translation unit containing `#include <header>`
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# to let the compiler try to figure out warnings in that header if it is not otherwise
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# included in tests, and also to verify if the headers are modular enough.
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# .inl files are not globbed for, because they are not supposed to be used as public
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# entrypoints.
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# Meta target for all configs' header builds:
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add_custom_target(libcudacxx.test.public_headers)
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# Grep all public headers
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file(
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GLOB public_headers
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LIST_DIRECTORIES false
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RELATIVE "${libcudacxx_SOURCE_DIR}/include"
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CONFIGURE_DEPENDS
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"${libcudacxx_SOURCE_DIR}/include/cuda/*"
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"${libcudacxx_SOURCE_DIR}/include/cuda/std/*"
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)
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# annotated_ptr does not work with clang cuda due to __nv_associate_access_property
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if ("Clang" STREQUAL "${CMAKE_CUDA_COMPILER_ID}")
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list(REMOVE_ITEM public_headers "annotated_ptr")
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endif()
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function(libcudacxx_add_public_header_test_target target_name)
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if (NOT ARGN)
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return()
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endif()
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cccl_generate_header_tests(
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${target_name}
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libcudacxx/include
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NO_METATARGETS
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LANGUAGE CUDA
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HEADER_TEMPLATE "${libcudacxx_SOURCE_DIR}/cmake/header_test.cpp.in"
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HEADERS ${ARGN}
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)
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target_compile_definitions(${target_name} PRIVATE _CCCL_HEADER_TEST)
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target_link_libraries(${target_name} PUBLIC libcudacxx.compiler_interface)
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add_dependencies(libcudacxx.test.public_headers ${target_name})
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endfunction()
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libcudacxx_add_public_header_test_target(
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libcudacxx.test.public_headers.base
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${public_headers}
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)
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