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a9b27ed5df
* Update to CUDA 11.3 on Windows. * Update PowerShell to 7.1.3. * Update CUDA to 11.3 on Linux. * "Explode" VM provisioning scripts for more consistent feedback during deploy. This resolves the deployment script often hanging with no feedback as to why. * [libdatachannel] Fix use of deprecated result_type typedef. Submitted upstream as https://github.com/paullouisageneau/libdatachannel/pull/413 * [libvpx] Get the libvpx outputs from the correct place. (Perhaps VS2019 version 16.10 moved where these are placed? I've been defensive and left an attempt to find from the old location in place.) * [chromaprint] Support implementations where lrintf is an intrinsic. * Add provision-entire-image script. * [cudnn] Disable download-on-the-fly due to licensing concerns. * Add libnccl to Linux VMs. * [wangle] Disable x64-windows due to an ICE. * [cmake] Update cmake to 3.20.1 to avoid https://gitlab.kitware.com/cmake/cmake/-/issues/21571 race * [libudis86] Fix passing a bogus working directory which fails on CMake 3.20.x * [dartsim] Disable unit tests, examples, and tutorials, some of which have CMake authoring errors rejected by 3.20.1. * Add thrust to the cuda installees. * [tensorflow] Put .bzl in CURRENT_BUILDTREES_DIR to avoid running out of disk space in CI and to respect --clean-after-build. * [dimcli] Skip port broken by changes in VS2019 project system. * [upb] Disable an additional warning. * [libhv] Fix typo DISABLE_PARALLEL => DISABLE_PARALLEL_CONFIGURE * Update pools
73 lines
3.9 KiB
CMake
73 lines
3.9 KiB
CMake
if(VCPKG_TARGET_IS_UWP OR VCPKG_TARGET_IS_OSX)
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message(FATAL_ERROR "This port is only for Windows Desktop or Linux")
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endif()
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if(NOT VCPKG_TARGET_ARCHITECTURE STREQUAL "x64")
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message(FATAL_ERROR "This port is only for x64 architectures")
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endif()
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vcpkg_check_linkage(ONLY_DYNAMIC_LIBRARY ONLY_DYNAMIC_CRT)
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set(MINIMUM_CUDNN_VERSION "7.6.5")
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include(${CURRENT_INSTALLED_DIR}/share/cuda/vcpkg_find_cuda.cmake)
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vcpkg_find_cuda(OUT_CUDA_TOOLKIT_ROOT CUDA_TOOLKIT_ROOT OUT_CUDA_VERSION CUDA_VERSION)
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# Try to find CUDNN if it exists; only download if it doesn't exist
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find_path(CUDNN_INCLUDE_DIR NAMES cudnn.h cudnn_v8.h cudnn_v7.h
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HINTS ${CUDA_TOOLKIT_ROOT} $ENV{CUDA_PATH} $ENV{CUDA_TOOLKIT_ROOT_DIR} $ENV{cudnn} $ENV{CUDNN} $ENV{CUDNN_ROOT_DIR} /usr/include
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PATH_SUFFIXES cuda/include include)
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message(STATUS "CUDNN_INCLUDE_DIR: ${CUDNN_INCLUDE_DIR}")
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find_library(CUDNN_LIBRARY NAMES cudnn cudnn8 cudnn7
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HINTS ${CUDA_TOOLKIT_ROOT} $ENV{CUDA_PATH} $ENV{CUDA_TOOLKIT_ROOT_DIR} $ENV{cudnn} $ENV{CUDNN} $ENV{CUDNN_ROOT_DIR} /usr/lib/x86_64-linux-gnu/
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PATH_SUFFIXES lib lib64 cuda/lib cuda/lib64 lib/x64)
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message(STATUS "CUDNN_LIBRARY: ${CUDNN_LIBRARY}")
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if(EXISTS "${CUDNN_INCLUDE_DIR}/cudnn.h")
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file(READ ${CUDNN_INCLUDE_DIR}/cudnn.h CUDNN_HEADER_CONTENTS)
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elseif(EXISTS "${CUDNN_INCLUDE_DIR}/cudnn_v8.h")
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file(READ ${CUDNN_INCLUDE_DIR}/cudnn_v8.h CUDNN_HEADER_CONTENTS)
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elseif(EXISTS "${CUDNN_INCLUDE_DIR}/cudnn_v7.h")
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file(READ ${CUDNN_INCLUDE_DIR}/cudnn_v7.h CUDNN_HEADER_CONTENTS)
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endif()
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if(EXISTS "${CUDNN_INCLUDE_DIR}/cudnn_version.h")
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file(READ "${CUDNN_INCLUDE_DIR}/cudnn_version.h" CUDNN_VERSION_H_CONTENTS)
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string(APPEND CUDNN_HEADER_CONTENTS "${CUDNN_VERSION_H_CONTENTS}")
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unset(CUDNN_VERSION_H_CONTENTS)
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elseif(EXISTS "${CUDNN_INCLUDE_DIR}/cudnn_version_v8.h")
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file(READ "${CUDNN_INCLUDE_DIR}/cudnn_version_v8.h" CUDNN_VERSION_H_CONTENTS)
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string(APPEND CUDNN_HEADER_CONTENTS "${CUDNN_VERSION_H_CONTENTS}")
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unset(CUDNN_VERSION_H_CONTENTS)
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elseif(EXISTS "${CUDNN_INCLUDE_DIR}/cudnn_version_v7.h")
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file(READ "${CUDNN_INCLUDE_DIR}/cudnn_version_v7.h" CUDNN_VERSION_H_CONTENTS)
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string(APPEND CUDNN_HEADER_CONTENTS "${CUDNN_VERSION_H_CONTENTS}")
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unset(CUDNN_VERSION_H_CONTENTS)
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endif()
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if(CUDNN_HEADER_CONTENTS)
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string(REGEX MATCH "define CUDNN_MAJOR * +([0-9]+)"
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_CUDNN_VERSION_MAJOR "${CUDNN_HEADER_CONTENTS}")
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string(REGEX REPLACE "define CUDNN_MAJOR * +([0-9]+)" "\\1"
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_CUDNN_VERSION_MAJOR "${_CUDNN_VERSION_MAJOR}")
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string(REGEX MATCH "define CUDNN_MINOR * +([0-9]+)"
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_CUDNN_VERSION_MINOR "${CUDNN_HEADER_CONTENTS}")
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string(REGEX REPLACE "define CUDNN_MINOR * +([0-9]+)" "\\1"
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_CUDNN_VERSION_MINOR "${_CUDNN_VERSION_MINOR}")
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string(REGEX MATCH "define CUDNN_PATCHLEVEL * +([0-9]+)"
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_CUDNN_VERSION_PATCH "${CUDNN_HEADER_CONTENTS}")
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string(REGEX REPLACE "define CUDNN_PATCHLEVEL * +([0-9]+)" "\\1"
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_CUDNN_VERSION_PATCH "${_CUDNN_VERSION_PATCH}")
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if(NOT _CUDNN_VERSION_MAJOR)
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set(_CUDNN_VERSION "?")
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else()
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set(_CUDNN_VERSION "${_CUDNN_VERSION_MAJOR}.${_CUDNN_VERSION_MINOR}.${_CUDNN_VERSION_PATCH}")
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endif()
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endif()
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if (CUDNN_INCLUDE_DIR AND CUDNN_LIBRARY AND _CUDNN_VERSION VERSION_GREATER_EQUAL MINIMUM_CUDNN_VERSION)
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message(STATUS "Found CUDNN ${_CUDNN_VERSION} located on system: (include ${CUDNN_INCLUDE_DIR} lib: ${CUDNN_LIBRARY})")
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set(VCPKG_POLICY_EMPTY_PACKAGE enabled)
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elseif(VCPKG_TARGET_IS_WINDOWS)
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message(FATAL_ERROR "Please download CUDNN from official sources (such as https://developer.nvidia.com/rdp/cudnn-download ) and extract the zip into your CUDA_TOOLKIT_ROOT (${CUDA_TOOLKIT_ROOT}). (For example: tar.exe -xvf cudnn-11.2-windows-x64-v8.1.1.33.zip --strip 1 --directory \"${CUDA_TOOLKIT_ROOT}\"")
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else()
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message(FATAL_ERROR "Please install CUDNN using your system package manager (the same way you installed CUDA). For example: apt install libcudnn8-dev.")
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endif()
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