vcpkg/ports/mnn/portfile.cmake

125 lines
4.5 KiB
CMake

if(VCPKG_TARGET_IS_WINDOWS)
vcpkg_check_linkage(ONLY_STATIC_LIBRARY)
endif()
vcpkg_from_github(
OUT_SOURCE_PATH SOURCE_PATH
REPO alibaba/MNN
REF 1.1.0
SHA512 3e31eec9a876be571cb2d29e0a2bcdb8209a43a43a5eeae19b295fadfb1252dd5bd4ed5b7c584706171e1b531710248193bc04520a796963e2b21546acbedae0
HEAD_REF master
PATCHES
use-package-and-install.patch
fix-linux.patch
)
vcpkg_check_features(OUT_FEATURE_OPTIONS FEATURE_OPTIONS
FEATURES
test MNN_BUILD_TEST
test MNN_BUILD_BENCHMARK
cuda MNN_CUDA
vulkan MNN_VULKAN
opencl MNN_OPENCL
metal MNN_METAL
tools MNN_BUILD_TOOLS
tools MNN_BUILD_QUANTOOLS
tools MNN_BUILD_TRAIN
tools MNN_EVALUATION
tools MNN_BUILD_CONVERTER
gpu MNN_GPU_TRACE
system MNN_USE_SYSTEM_LIB
)
# 'cuda' feature in Windows failes with Ninja because of parallel PDB access. Make it optional
set(NINJA_OPTION WINDOWS_USE_MSBUILD)
if(NOT "cuda" IN_LIST FEATURES)
unset(NINJA_OPTION)
endif()
set(FLATC_EXEC "${CURRENT_HOST_INSTALLED_DIR}/tools/flatbuffers/flatc${VCPKG_HOST_EXECUTABLE_SUFFIX}")
if (NOT EXISTS "${FLATC_EXEC}")
message(FATAL_ERROR "Expected ${FLATC_EXEC} to exist.")
endif()
# regenerate some code files by schemes and flatbuffers
vcpkg_execute_build_process(
COMMAND "${FLATC_EXEC}" "-c" "-b" "--gen-object-api" "--reflect-names"
"../default/BasicOptimizer.fbs"
"../default/CaffeOp.fbs"
"../default/GpuLibrary.fbs"
"../default/MNN.fbs"
"../default/Tensor.fbs"
"../default/TensorflowOp.fbs"
"../default/TFQuantizeOp.fbs"
"../default/Type.fbs"
"../default/UserDefine.fbs"
WORKING_DIRECTORY "${SOURCE_PATH}/schema/current/"
LOGNAME flatc-${TARGET_TRIPLET}
)
if(VCPKG_TARGET_IS_WINDOWS)
string(COMPARE EQUAL "${VCPKG_CRT_LINKAGE}" "static" USE_RUNTIME_MT)
list(APPEND PLATFORM_OPTIONS -DMNN_WIN_RUNTIME_MT=${USE_RUNTIME_MT})
endif()
string(COMPARE EQUAL "${VCPKG_LIBRARY_LINKAGE}" "dynamic" BUILD_SHARED)
vcpkg_cmake_configure(
SOURCE_PATH "${SOURCE_PATH}"
${NINJA_OPTION}
OPTIONS
${FEATURE_OPTIONS} ${PLATFORM_OPTIONS}
-DMNN_BUILD_SHARED_LIBS=${BUILD_SHARED}
# 1.1.0.0-${commit}
-DMNN_VERSION_MAJOR=1 -DMNN_VERSION_MINOR=1 -DMNN_VERSION_PATCH=0 -DMNN_VERSION_BUILD=0 -DMNN_VERSION_SUFFIX=-d6795ad
OPTIONS_DEBUG
-DMNN_DEBUG_MEMORY=ON -DMNN_DEBUG_TENSOR_SIZE=ON
)
vcpkg_cmake_install()
vcpkg_copy_pdbs()
vcpkg_download_distfile(COPYRIGHT_PATH
URLS "https://apache.org/licenses/LICENSE-2.0.txt"
FILENAME 98f6b79b778f7b0a1541.txt
SHA512 98f6b79b778f7b0a15415bd750c3a8a097d650511cb4ec8115188e115c47053fe700f578895c097051c9bc3dfb6197c2b13a15de203273e1a3218884f86e90e8
)
file(MAKE_DIRECTORY "${CURRENT_PACKAGES_DIR}/share/${PORT}")
file(RENAME "${COPYRIGHT_PATH}" "${CURRENT_PACKAGES_DIR}/share/${PORT}/copyright")
if(VCPKG_TARGET_IS_OSX OR VCPKG_TARGET_IS_IOS)
if("metal" IN_LIST FEATURES)
file(RENAME "${CURRENT_PACKAGES_DIR}/bin/mnn.metallib"
"${CURRENT_PACKAGES_DIR}/share/${PORT}/mnn.metallib")
endif()
else()
file(MAKE_DIRECTORY "${CURRENT_PACKAGES_DIR}/share/${PORT}")
endif()
file(REMOVE_RECURSE "${CURRENT_PACKAGES_DIR}/debug/include")
if("test" IN_LIST FEATURES)
# no install(TARGETS) for the following binaries. check the buildtrees...
# vcpkg_copy_tools(
# TOOL_NAMES run_test.out benchmark.out benchmarkExprModels.out # test/
# AUTO_CLEAN
# )
endif()
if("tools" IN_LIST FEATURES)
vcpkg_copy_tools(
TOOL_NAMES MNNV2Basic.out mobilenetTest.out backendTest.out testModel.out testModelWithDescrisbe.out getPerformance.out checkInvalidValue.out timeProfile.out # tools/cpp
quantized.out # tools/quantization
classficationTopkEval.out # tools/evaluation
MNNDump2Json MNNConvert # tools/converter
transformer.out train.out dataTransformer.out runTrainDemo.out # tools/train
AUTO_CLEAN
)
if(BUILD_SHARED)
vcpkg_copy_tools(TOOL_NAMES TestConvertResult AUTO_CLEAN) # tools/converter
endif()
endif()
if(VCPKG_LIBRARY_LINKAGE STREQUAL "static")
# remove the others. ex) mnn.metallib
file(REMOVE_RECURSE ${CURRENT_PACKAGES_DIR}/bin
${CURRENT_PACKAGES_DIR}/debug/bin)
endif()