mirror of
https://github.com/microsoft/vcpkg.git
synced 2024-12-15 13:49:01 +08:00
284 lines
10 KiB
CMake
284 lines
10 KiB
CMake
vcpkg_download_distfile(
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CUDNN_9_FIX
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URLS https://github.com/pytorch/pytorch/commit/e14026bc2a6cd80bedffead77a5d7b75a37f8e67.patch?full_index=1
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SHA512 9569547b44b61f9559f0e7ab91f2be51657ece4f5462b6860cb5eae8d23d01187d6af046b369a77a228fe4d7153f5c683b686e84c1296a662f83e5f1f281bc7e
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FILENAME libtorch-cudnn-9-fix-e14026bc2a6cd80bedffead77a5d7b75a37f8e67.patch
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)
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vcpkg_download_distfile(
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CUDA_THRUST_MISSING_HEADER_FIX
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URLS https://github.com/pytorch/pytorch/commit/2a440348958b3f0a2b09458bd76fe5959b371c0c.patch?full_index=1
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SHA512 eff10d81b1c635108ad1b95a430865a76ab3f2079be74e61e06876942ac1fd43a274fc1c73e43c2c01b9ce5aca648213ef75c13c28b8ffa40497e4e26d5e3b16
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FILENAME libtorch-cuda-thrust-missing-header-2a440348958b3f0a2b09458bd76fe5959b371c0c.patch
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)
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vcpkg_check_linkage(ONLY_DYNAMIC_LIBRARY)
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vcpkg_from_github(
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OUT_SOURCE_PATH SOURCE_PATH
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REPO pytorch/pytorch
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REF "v${VERSION}"
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SHA512 a8961d78ad785b13c959a0612563a60e0de17a7c8bb9822ddea9a24072796354d07e81c47b6cc8761b21a6448845b088cf80e1661d9e889b0ed5474d3dc76756
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HEAD_REF master
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PATCHES
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"${CUDNN_9_FIX}"
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"${CUDA_THRUST_MISSING_HEADER_FIX}"
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cmake-fixes.patch
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more-fixes.patch
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fix-build.patch
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clang-cl.patch
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cuda-adjustments.patch
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fix-api-export.patch
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fxdiv.patch
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protoc.patch
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fix-sleef.patch
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fix-glog.patch
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fix-msvc-ICE.patch
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fix-calculate-minloglevel.patch
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force-cuda-include.patch
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fix-aten-cutlass.patch
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fix-build-error-with-fmt11.patch
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)
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file(REMOVE_RECURSE "${SOURCE_PATH}/caffe2/core/macros.h") # We must use generated header files
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vcpkg_from_github(
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OUT_SOURCE_PATH src_kineto
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REPO pytorch/kineto
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REF 49e854d805d916b2031e337763928d2f8d2e1fbf
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SHA512 ae63d48dc5b8ac30c38c2ace60f16834c7e9275fa342dc9f109d4fbc87b7bd674664f6413c36d0c1ab5a7da786030a4108d83daa4502b2f30239283ea3acdb16
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HEAD_REF main
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PATCHES
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kineto.patch
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)
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file(COPY "${src_kineto}/" DESTINATION "${SOURCE_PATH}/third_party/kineto")
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vcpkg_from_github(
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OUT_SOURCE_PATH src_cudnn
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REPO NVIDIA/cudnn-frontend # new port ?
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REF 12f35fa2be5994c1106367cac2fba21457b064f4
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SHA512 a7e4bf58f82ca0b767df35da1b3588e2639ea2ef22ed0c47e989fb4cde5a28b0605b228b42fcaefbdf721bfbb91f2a9e7d41352ff522bd80b63db6d27e44ec20
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HEAD_REF main
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)
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file(COPY "${src_cudnn}/" DESTINATION "${SOURCE_PATH}/third_party/cudnn_frontend")
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file(REMOVE
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"${SOURCE_PATH}/cmake/Modules/FindBLAS.cmake"
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"${SOURCE_PATH}/cmake/Modules/FindLAPACK.cmake"
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"${SOURCE_PATH}/cmake/Modules/FindCUDA.cmake"
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"${SOURCE_PATH}/cmake/Modules/FindCUDAToolkit.cmake"
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"${SOURCE_PATH}/cmake/Modules/Findpybind11.cmake"
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)
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find_program(FLATC NAMES flatc PATHS "${CURRENT_HOST_INSTALLED_DIR}/tools/flatbuffers" REQUIRED NO_DEFAULT_PATH NO_CMAKE_PATH)
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message(STATUS "Using flatc: ${FLATC}")
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vcpkg_execute_required_process(
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COMMAND ${FLATC} --cpp --no-prefix --scoped-enums --gen-mutable mobile_bytecode.fbs
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LOGNAME codegen-flatc-mobile_bytecode
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WORKING_DIRECTORY "${SOURCE_PATH}/torch/csrc/jit/serialization"
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)
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find_program(PROTOC NAMES protoc PATHS "${CURRENT_HOST_INSTALLED_DIR}/tools/protobuf" REQUIRED NO_DEFAULT_PATH NO_CMAKE_PATH)
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message(STATUS "Using protoc: ${PROTOC}")
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x_vcpkg_get_python_packages(
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PYTHON_VERSION 3
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PACKAGES typing-extensions pyyaml numpy
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OUT_PYTHON_VAR PYTHON3
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)
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#set(PYTHON3 "${CURRENT_HOST_INSTALLED_DIR}/tools/python3/python${VCPKG_HOST_EXECUTABLE_SUFFIX}")
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message(STATUS "Using Python3: ${PYTHON3}")
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vcpkg_check_features(OUT_FEATURE_OPTIONS FEATURE_OPTIONS
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FEATURES
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dist USE_DISTRIBUTED # MPI, Gloo, TensorPipe
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zstd USE_ZSTD
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fbgemm USE_FBGEMM
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opencv USE_OPENCV
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# These are alternatives !
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# tbb USE_TBB
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# tbb AT_PARALLEL_NATIVE_TBB # AT_PARALLEL_ are alternatives
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# openmp USE_OPENMP
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# openmp AT_PARALLEL_OPENMP # AT_PARALLEL_ are alternatives
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leveldb USE_LEVELDB
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opencl USE_OPENCL
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cuda USE_CUDA
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cuda USE_CUDNN
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cuda USE_NCCL
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cuda USE_SYSTEM_NCCL
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cuda USE_NVRTC
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cuda AT_CUDA_ENABLED
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cuda AT_CUDNN_ENABLED
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cuda USE_MAGMA
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vulkan USE_VULKAN
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#vulkan USE_VULKAN_SHADERC_RUNTIME
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vulkan USE_VULKAN_RELAXED_PRECISION
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rocm USE_ROCM # This is an alternative to cuda not a feature! (Not in vcpkg.json!) -> disabled
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llvm USE_LLVM
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mpi USE_MPI
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nnpack USE_NNPACK # todo: check use of `DISABLE_NNPACK_AND_FAMILY`
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nnpack AT_NNPACK_ENABLED
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qnnpack USE_QNNPACK # todo: check use of `USE_PYTORCH_QNNPACK`
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# No feature in vcpkg yet so disabled. -> Requires numpy build by vcpkg itself
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python BUILD_PYTHON
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python USE_NUMPY
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)
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if("dist" IN_LIST FEATURES)
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if(VCPKG_TARGET_IS_LINUX OR VCPKG_TARGET_IS_OSX)
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list(APPEND FEATURE_OPTIONS -DUSE_TENSORPIPE=ON)
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endif()
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if(VCPKG_TARGET_IS_WINDOWS OR VCPKG_TARGET_IS_OSX)
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list(APPEND FEATURE_OPTIONS -DUSE_LIBUV=ON)
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endif()
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list(APPEND FEATURE_OPTIONS -DUSE_GLOO=${VCPKG_TARGET_IS_LINUX})
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endif()
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if(VCPKG_TARGET_IS_ANDROID OR VCPKG_TARGET_IS_IOS)
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list(APPEND FEATURE_OPTIONS -DINTERN_BUILD_MOBILE=ON)
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else()
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list(APPEND FEATURE_OPTIONS -DINTERN_BUILD_MOBILE=OFF)
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endif()
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string(COMPARE EQUAL "${VCPKG_CRT_LINKAGE}" "static" USE_STATIC_RUNTIME)
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vcpkg_cmake_configure(
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SOURCE_PATH "${SOURCE_PATH}"
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DISABLE_PARALLEL_CONFIGURE
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OPTIONS
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${FEATURE_OPTIONS}
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-DProtobuf_PROTOC_EXECUTABLE:FILEPATH=${PROTOC}
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-DCAFFE2_CUSTOM_PROTOC_EXECUTABLE:FILEPATH=${PROTOC}
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-DPYTHON_EXECUTABLE:FILEPATH=${PYTHON3}
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#-DPython3_EXECUTABLE:FILEPATH=${PYTHON3}
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-DCAFFE2_STATIC_LINK_CUDA=ON
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-DCAFFE2_USE_MSVC_STATIC_RUNTIME=${USE_STATIC_RUNTIME}
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-DBUILD_CUSTOM_PROTOBUF=OFF
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-DUSE_LITE_PROTO=OFF
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-DBUILD_TEST=OFF
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-DATEN_NO_TEST=ON
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-DUSE_SYSTEM_LIBS=ON
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-DUSE_METAL=OFF
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-DUSE_PYTORCH_METAL=OFF
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-DUSE_PYTORCH_METAL_EXPORT=OFF
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-DUSE_GFLAGS=ON
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-DUSE_GLOG=ON
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-DUSE_LMDB=ON
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-DUSE_ITT=OFF
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-DUSE_ROCKSDB=ON
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-DUSE_OBSERVERS=OFF
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-DUSE_PYTORCH_QNNPACK=OFF
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-DUSE_KINETO=OFF
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-DUSE_ROCM=OFF
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-DUSE_NUMA=OFF
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-DUSE_SYSTEM_ONNX=ON
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-DUSE_SYSTEM_FP16=ON
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-DUSE_SYSTEM_EIGEN_INSTALL=ON
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-DUSE_SYSTEM_CPUINFO=ON
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-DUSE_SYSTEM_PTHREADPOOL=ON
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-DUSE_SYSTEM_PYBIND11=ON
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-DUSE_SYSTEM_ZSTD=ON
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-DUSE_SYSTEM_GLOO=ON
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-DUSE_SYSTEM_NCCL=ON
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-DUSE_SYSTEM_LIBS=ON
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-DUSE_SYSTEM_FXDIV=ON
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-DUSE_SYSTEM_SLEEF=ON
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-DBUILD_JNI=${VCPKG_TARGET_IS_ANDROID}
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-DUSE_NNAPI=${VCPKG_TARGET_IS_ANDROID}
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${BLAS_OPTIONS}
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# BLAS=MKL not supported in this port
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-DUSE_MKLDNN=OFF
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-DUSE_MKLDNN_CBLAS=OFF
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#-DCAFFE2_USE_MKL=ON
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#-DAT_MKL_ENABLED=ON
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-DAT_MKLDNN_ENABLED=OFF
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-DUSE_OPENCL=ON
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-DUSE_NUMPY=ON
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-DUSE_KINETO=OFF #
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OPTIONS_RELEASE
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-DPYTHON_LIBRARY=${CURRENT_INSTALLED_DIR}/lib/python311.lib
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OPTIONS_DEBUG
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-DPYTHON_LIBRARY=${CURRENT_INSTALLED_DIR}/debug/lib/python311_d.lib
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MAYBE_UNUSED_VARIABLES
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USE_NUMA
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USE_SYSTEM_BIND11
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MKLDNN_CPU_RUNTIME
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PYTHON_LIBRARY
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)
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vcpkg_cmake_install()
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vcpkg_copy_pdbs()
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vcpkg_cmake_config_fixup(PACKAGE_NAME caffe2 CONFIG_PATH "share/cmake/Caffe2" DO_NOT_DELETE_PARENT_CONFIG_PATH)
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vcpkg_cmake_config_fixup(PACKAGE_NAME torch CONFIG_PATH "share/cmake/Torch")
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vcpkg_replace_string("${CURRENT_PACKAGES_DIR}/share/torch/TorchConfig.cmake" "/../../../" "/../../")
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vcpkg_replace_string("${CURRENT_PACKAGES_DIR}/share/caffe2/Caffe2Config.cmake" "/../../../" "/../../")
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vcpkg_replace_string("${CURRENT_PACKAGES_DIR}/share/caffe2/Caffe2Config.cmake"
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"set(Caffe2_MAIN_LIBS torch_library)"
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"set(Caffe2_MAIN_LIBS torch_library)\nfind_dependency(Eigen3)")
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# Traverse the folder and remove "some" empty folders
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function(cleanup_once folder)
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if(NOT IS_DIRECTORY "${folder}")
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return()
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endif()
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file(GLOB paths LIST_DIRECTORIES true "${folder}/*")
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list(LENGTH paths count)
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# 1. remove if the given folder is empty
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if(count EQUAL 0)
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file(REMOVE_RECURSE "${folder}")
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message(STATUS "Removed ${folder}")
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return()
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endif()
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# 2. repeat the operation for hop 1 sub-directories
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foreach(path ${paths})
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cleanup_once(${path})
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endforeach()
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endfunction()
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# Some folders may contain empty folders. They will become empty after `cleanup_once`.
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# Repeat given times to delete new empty folders.
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function(cleanup_repeat folder repeat)
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if(NOT IS_DIRECTORY "${folder}")
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return()
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endif()
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while(repeat GREATER_EQUAL 1)
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math(EXPR repeat "${repeat} - 1" OUTPUT_FORMAT DECIMAL)
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cleanup_once("${folder}")
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endwhile()
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endfunction()
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cleanup_repeat("${CURRENT_PACKAGES_DIR}/include" 5)
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cleanup_repeat("${CURRENT_PACKAGES_DIR}/lib/site-packages" 13)
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file(REMOVE_RECURSE
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"${CURRENT_PACKAGES_DIR}/debug/include"
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"${CURRENT_PACKAGES_DIR}/debug/share"
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)
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vcpkg_install_copyright(FILE_LIST "${SOURCE_PATH}/LICENSE")
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# Cannot build python bindings yet
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#if("python" IN_LIST FEATURES)
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# set(ENV{USE_SYSTEM_LIBS} 1)
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# vcpkg_replace_string("${SOURCE_PATH}/setup.py" "@TARGET_TRIPLET@" "${TARGET_TRIPLET}-rel")
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# vcpkg_replace_string("${SOURCE_PATH}/tools/setup_helpers/env.py" "@TARGET_TRIPLET@" "${TARGET_TRIPLET}-rel")
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# vcpkg_replace_string("${SOURCE_PATH}/torch/utils/cpp_extension.py" "@TARGET_TRIPLET@" "${TARGET_TRIPLET}-rel")
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# vcpkg_python_build_and_install_wheel(SOURCE_PATH "${SOURCE_PATH}" OPTIONS -x)
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#endif()
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set(VCPKG_POLICY_DLLS_WITHOUT_EXPORTS enabled) # torch_global_deps.dll is empty.c and just for linking deps
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set(config "${CURRENT_PACKAGES_DIR}/share/torch/TorchConfig.cmake")
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file(READ "${config}" contents)
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string(REGEX REPLACE "set\\\(NVTOOLEXT_HOME[^)]+" "set(NVTOOLEXT_HOME \"\$ENV{CUDA_PATH}\"" contents "${contents}")
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#string(REGEX REPLACE "set\\\(NVTOOLEXT_HOME[^)]+" "set(NVTOOLEXT_HOME \"\${CMAKE_CURRENT_LIST_DIR}/../../tools/cuda/\"" contents "${contents}")
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string(REGEX REPLACE "\\\${NVTOOLEXT_HOME}/lib/x64/nvToolsExt64_1.lib" "" contents "${contents}")
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file(WRITE "${config}" "${contents}")
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vcpkg_replace_string("${CURRENT_PACKAGES_DIR}/include/torch/csrc/autograd/custom_function.h" "struct TORCH_API Function" "struct Function")
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