early-access version 2853
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97
externals/vcpkg/ports/nccl/FindNCCL.cmake
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97
externals/vcpkg/ports/nccl/FindNCCL.cmake
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# Find the nccl libraries
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#
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# The following variables are optionally searched for defaults
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# NCCL_ROOT: Base directory where all NCCL components are found
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# NCCL_INCLUDE_DIR: Directory where NCCL header is found
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# NCCL_LIB_DIR: Directory where NCCL library is found
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#
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# The following are set after configuration is done:
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# NCCL_FOUND
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# NCCL_INCLUDE_DIRS
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# NCCL_LIBRARIES
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#
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# Adapted from https://github.com/pytorch/pytorch/blob/master/cmake/Modules/FindNCCL.cmake
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set(NCCL_INCLUDE_DIR $ENV{NCCL_INCLUDE_DIR} CACHE PATH "Folder contains NVIDIA NCCL headers")
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set(NCCL_LIB_DIR $ENV{NCCL_LIB_DIR} CACHE PATH "Folder contains NVIDIA NCCL libraries")
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set(_NCCL_VERSION $ENV{NCCL_VERSION} CACHE STRING "Version of NCCL to build with")
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list(APPEND NCCL_ROOT $ENV{NCCL_ROOT_DIR} ${CUDA_TOOLKIT_ROOT_DIR})
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# Compatible layer for CMake <3.12. NCCL_ROOT will be accounted in for searching paths and libraries for CMake >=3.12.
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list(APPEND CMAKE_PREFIX_PATH ${NCCL_ROOT})
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find_path(NCCL_INCLUDE_DIRS
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NAMES nccl.h
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HINTS
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${NCCL_INCLUDE_DIR}
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$ENV{CUDNN_ROOT_DIR}
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$ENV{CUDA_PATH}
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$ENV{CUDNN_ROOT_DIR}
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$ENV{CUDA_TOOLKIT_ROOT_DIR}
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$ENV{NCCL}
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/usr/include
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PATH_SUFFIXES
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include
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)
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if (USE_STATIC_NCCL)
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MESSAGE(STATUS "USE_STATIC_NCCL is set. Linking with static NCCL library.")
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SET(NCCL_LIBNAME "nccl_static")
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if (_NCCL_VERSION) # Prefer the versioned library if a specific NCCL version is specified
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set(CMAKE_FIND_LIBRARY_SUFFIXES ".a.${_NCCL_VERSION}" ${CMAKE_FIND_LIBRARY_SUFFIXES})
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endif()
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else()
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SET(NCCL_LIBNAME "nccl")
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if (_NCCL_VERSION) # Prefer the versioned library if a specific NCCL version is specified
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set(CMAKE_FIND_LIBRARY_SUFFIXES ".so.${_NCCL_VERSION}" ${CMAKE_FIND_LIBRARY_SUFFIXES})
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endif()
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endif()
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# Read version from header
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if(EXISTS "${NCCL_INCLUDE_DIRS}/nccl.h")
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file(READ ${NCCL_INCLUDE_DIRS}/nccl.h NCCL_HEADER_CONTENTS)
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endif()
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if(NCCL_HEADER_CONTENTS)
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string(REGEX MATCH "define NCCL_MAJOR * +([0-9]+)"
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_NCCL_VERSION_MAJOR "${NCCL_HEADER_CONTENTS}")
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string(REGEX REPLACE "define NCCL_MAJOR * +([0-9]+)" "\\1"
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_NCCL_VERSION_MAJOR "${_NCCL_VERSION_MAJOR}")
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string(REGEX MATCH "define NCCL_MINOR * +([0-9]+)"
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_NCCL_VERSION_MINOR "${NCCL_HEADER_CONTENTS}")
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string(REGEX REPLACE "define NCCL_MINOR * +([0-9]+)" "\\1"
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_NCCL_VERSION_MINOR "${_NCCL_VERSION_MINOR}")
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string(REGEX MATCH "define NCCL_PATCH * +([0-9]+)"
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_NCCL_VERSION_PATCH "${NCCL_HEADER_CONTENTS}")
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string(REGEX REPLACE "define NCCL_PATCH * +([0-9]+)" "\\1"
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_NCCL_VERSION_PATCH "${_NCCL_VERSION_PATCH}")
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if(NOT _NCCL_VERSION_MAJOR)
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set(_NCCL_VERSION "?")
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else()
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set(_NCCL_VERSION "${_NCCL_VERSION_MAJOR}.${_NCCL_VERSION_MINOR}.${_NCCL_VERSION_PATCH}")
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endif()
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endif()
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find_library(NCCL_LIBRARIES
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NAMES ${NCCL_LIBNAME}
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HINTS
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${NCCL_LIB_DIR}
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${CUDA_TOOLKIT_ROOT}
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$ENV{CUDA_PATH}
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$ENV{CUDNN_ROOT_DIR}
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$ENV{CUDA_TOOLKIT_ROOT_DIR}
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$ENV{NCCL}
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/usr/lib/x86_64-linux-gnu/
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PATH_SUFFIXES
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lib
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lib64
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)
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include(FindPackageHandleStandardArgs)
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find_package_handle_standard_args(NCCL
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REQUIRED_VARS NCCL_INCLUDE_DIRS NCCL_LIBRARIES
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VERSION_VAR _NCCL_VERSION)
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if(NCCL_FOUND) # obtaining NCCL version and some sanity checks
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message(STATUS "Found NCCL ${_NCCL_VERSION} (include: ${NCCL_INCLUDE_DIRS}, library: ${NCCL_LIBRARIES})")
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mark_as_advanced(NCCL_ROOT_DIR NCCL_INCLUDE_DIRS NCCL_LIBRARIES NCCL_VERSION)
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endif()
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20
externals/vcpkg/ports/nccl/portfile.cmake
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20
externals/vcpkg/ports/nccl/portfile.cmake
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# Find NCCL. We can use FindNCCL directly since it doesn't call any functions
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# that are disallowed in CMake script mode
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set(MINIMUM_NCCL_VERSION "2.4.6.1")
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set(NCCL_PREV_MODULE_PATH ${CMAKE_MODULE_PATH})
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list(APPEND CMAKE_MODULE_PATH ${CMAKE_CURRENT_LIST_DIR})
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find_package(NCCL ${MINIMUM_NCCL_VERSION})
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set(CMAKE_MODULE_PATH ${NCCL_PREV_MODULE_PATH})
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# Download or return
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if(NCCL_FOUND)
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message(STATUS "Using NCCL ${_NCCL_VERSION} located on system.")
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set(VCPKG_POLICY_EMPTY_PACKAGE enabled)
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else()
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message(FATAL_ERROR "Please install NCCL using your system package manager (the same way you installed CUDA). For example: apt install libnccl2 libnccl-dev.")
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endif()
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file(INSTALL "${CURRENT_PORT_DIR}/FindNCCL.cmake" DESTINATION "${CURRENT_PACKAGES_DIR}/share/${PORT}")
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configure_file("${CURRENT_PORT_DIR}/vcpkg-cmake-wrapper.cmake" "${CURRENT_PACKAGES_DIR}/share/${PORT}/vcpkg-cmake-wrapper.cmake" @ONLY)
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file(INSTALL "${CURRENT_PORT_DIR}/usage" DESTINATION ${CURRENT_PACKAGES_DIR}/share/${PORT})
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5
externals/vcpkg/ports/nccl/usage
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5
externals/vcpkg/ports/nccl/usage
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The package nccl provides CMake variables:
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find_package(NCCL REQUIRED)
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target_link_libraries(main PRIVATE ${NCCL_LIBRARIES})
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target_include_directories(main PRIVATE ${NCCL_INCLUDE_DIRS})
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6
externals/vcpkg/ports/nccl/vcpkg-cmake-wrapper.cmake
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6
externals/vcpkg/ports/nccl/vcpkg-cmake-wrapper.cmake
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set(NCCL_PREV_MODULE_PATH ${CMAKE_MODULE_PATH})
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list(APPEND CMAKE_MODULE_PATH ${CMAKE_CURRENT_LIST_DIR})
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_find_package(${ARGS})
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set(CMAKE_MODULE_PATH ${NCCL_PREV_MODULE_PATH})
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10
externals/vcpkg/ports/nccl/vcpkg.json
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10
externals/vcpkg/ports/nccl/vcpkg.json
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@@ -0,0 +1,10 @@
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{
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"name": "nccl",
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"version": "2.4.6",
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"port-version": 2,
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"description": "Optimized primitives for collective multi-GPU communication.",
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"supports": "linux & x64",
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"dependencies": [
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"cuda"
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]
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}
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