pytorch/CMakeLists.txt

437 lines
17 KiB
Text
Raw Normal View History

cmake_minimum_required(VERSION 3.5 FATAL_ERROR)
#cmake_policy(SET CMP0022 NEW)
#cmake_policy(SET CMP0023 NEW)
2016-12-05 00:42:00 +00:00
# ---[ Project and semantic versioning.
project(Caffe2 CXX C)
2016-12-05 00:42:00 +00:00
set(CMAKE_INSTALL_MESSAGE NEVER)
set(CMAKE_CXX_STANDARD 11)
if (NOT MSVC)
set(CMAKE_C_STANDARD 11)
endif()
set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
2018-03-01 20:01:44 +00:00
# One variable that determines whether the current cmake process is being run
# with the main Caffe2 library. This is useful for building modules - if
# modules are built with the main Caffe2 library then one does not need to do
# find caffe2 in the cmake script. One can usually guard it in some way like
# if (NOT CAFFE2_CMAKE_BUILDING_WITH_MAIN_REPO)
# find_package(Caffe2 REQUIRED)
# endif()
set(CAFFE2_CMAKE_BUILDING_WITH_MAIN_REPO ON)
if(NOT DEFINED BLAS_SET_BY_USER)
if(DEFINED BLAS)
set(BLAS_SET_BY_USER TRUE)
else()
message(STATUS "Not forcing any particular BLAS to be found")
set(BLAS_SET_BY_USER FALSE)
endif()
set(BLAS_SET_BY_USER ${BLAS_SET_BY_USER} CACHE STRING "Marks whether BLAS was manually set by user or auto-detected")
endif()
# Apple specific
if(APPLE)
# These lines are an attempt to make find_package(cuda) pick up
# libcuda.dylib, and not cuda.framework. It doesn't work all
# the time, but it seems to help for some users.
# TODO: replace this with a more robust fix
set(CMAKE_FIND_FRAMEWORK LAST)
set(CMAKE_FIND_APPBUNDLE LAST)
# Get clang version on macOS
EXECUTE_PROCESS( COMMAND ${CMAKE_CXX_COMPILER} --version OUTPUT_VARIABLE clang_full_version_string )
string(REGEX REPLACE "Apple LLVM version ([0-9]+\\.[0-9]+).*" "\\1" CLANG_VERSION_STRING ${clang_full_version_string})
MESSAGE( STATUS "CLANG_VERSION_STRING: " ${CLANG_VERSION_STRING} )
# RPATH stuff
set(CMAKE_MACOSX_RPATH ON)
endif()
# ---[ Options.
# Note to developers: if you add an option below, make sure you also add it to
# cmake/Summary.cmake so that the summary prints out the option values.
include(CMakeDependentOption)
Introduce libtorch to setup.py build (#8792) Summary: Prior to this diff, there have been two ways of compiling the bulk of the torch codebase. There was no interaction between them - you had to pick one or the other. 1) with setup.py. This method - used the setuptools C extension functionality - worked on all platforms - did not build test_jit/test_api binaries - did not include the C++ api - always included python functionality - produced _C.so 2) with cpp_build. This method - used CMake - did not support Windows or ROCM - was capable of building the test binaries - included the C++ api - did not build the python functionality - produced libtorch.so This diff combines the two. 1) cpp_build/CMakeLists.txt has become torch/CMakeLists.txt. This build - is CMake-based - works on all platforms - builds the test binaries - includes the C++ api - does not include the python functionality - produces libtorch.so 2) the setup.py build - compiles the python functionality - calls into the CMake build to build libtorch.so - produces _C.so, which has a dependency on libtorch.so In terms of code changes, this mostly means extending the cmake build to support the full variety of environments and platforms. There are also a small number of changes related to the fact that there are now two shared objects - in particular, windows requires annotating some symbols with dllimport/dllexport, and doesn't allow exposing thread_local globals directly. Pull Request resolved: https://github.com/pytorch/pytorch/pull/8792 Reviewed By: ezyang Differential Revision: D8764181 Pulled By: anderspapitto fbshipit-source-id: abec43834f739049da25f4583a0794b38eb0a94f
2018-07-18 21:56:47 +00:00
option(BUILD_TORCH "Build Torch" OFF)
option(ATEN_NO_TEST "Do not build ATen test binaries" OFF)
option(BUILD_ATEN_MOBILE "Build ATen for Android and iOS" OFF)
option(BUILD_BINARY "Build C++ binaries" OFF)
option(BUILD_DOCS "Build Caffe2 documentation" OFF)
option(BUILD_CUSTOM_PROTOBUF "Build and use Caffe2's own protobuf under third_party" ON)
option(BUILD_PYTHON "Build Python binaries" ON)
option(BUILD_CAFFE2_OPS "Build Caffe2 operators" ON)
option(BUILD_SHARED_LIBS "Build libcaffe2.so" ON)
cmake_dependent_option(
CAFFE2_LINK_LOCAL_PROTOBUF "If set, build protobuf inside libcaffe2.so." ON
"BUILD_SHARED_LIBS AND BUILD_CUSTOM_PROTOBUF" OFF)
cmake_dependent_option(
CAFFE2_USE_MSVC_STATIC_RUNTIME "Using MSVC static runtime libraries" ON
"NOT BUILD_SHARED_LIBS" OFF)
option(BUILD_TEST "Build C++ test binaries (need gtest and gbenchmark)" OFF)
cmake_dependent_option(
INSTALL_TEST "Install test binaries if BUILD_TEST is on" OFF
"BUILD_TEST" OFF)
option(USE_ACL "Use ARM Compute Library" OFF)
option(USE_ASAN "Use Address Sanitizer" OFF)
option(USE_CUDA "Use CUDA" ON)
[build] Have PyTorch depend on minimal libcaffe2.so instead of libATen.so (#7399) * Have PyTorch depend on minimal libcaffe2.so instead of libATen.so * Build ATen tests as a part of Caffe2 build * Hopefully cufft and nvcc fPIC fixes * Make ATen install components optional * Add tests back for ATen and fix TH build * Fixes for test_install.sh script * Fixes for cpp_build/build_all.sh * Fixes for aten/tools/run_tests.sh * Switch ATen cmake calls to USE_CUDA instead of NO_CUDA * Attempt at fix for aten/tools/run_tests.sh * Fix typo in last commit * Fix valgrind call after pushd * Be forgiving about USE_CUDA disable like PyTorch * More fixes on the install side * Link all libcaffe2 during test run * Make cuDNN optional for ATen right now * Potential fix for non-CUDA builds * Use NCCL_ROOT_DIR environment variable * Pass -fPIC through nvcc to base compiler/linker * Remove THCUNN.h requirement for libtorch gen * Add Mac test for -Wmaybe-uninitialized * Potential Windows and Mac fixes * Move MSVC target props to shared function * Disable cpp_build/libtorch tests on Mac * Disable sleef for Windows builds * Move protos under BUILD_CAFFE2 * Remove space from linker flags passed with -Wl * Remove ATen from Caffe2 dep libs since directly included * Potential Windows fixes * Preserve options while sleef builds * Force BUILD_SHARED_LIBS flag for Caffe2 builds * Set DYLD_LIBRARY_PATH and LD_LIBRARY_PATH for Mac testing * Pass TORCH_CUDA_ARCH_LIST directly in cuda.cmake * Fixes for the last two changes * Potential fix for Mac build failure * Switch Caffe2 to build_caffe2 dir to not conflict * Cleanup FindMKL.cmake * Another attempt at Mac cpp_build fix * Clear cpp-build directory for Mac builds * Disable test in Mac build/test to match cmake
2018-05-24 14:47:27 +00:00
option(USE_ROCM "Use ROCm" OFF)
option(CAFFE2_STATIC_LINK_CUDA "Statically link CUDA libraries" OFF)
cmake_dependent_option(
USE_CUDNN "Use cuDNN" ON
[build] Have PyTorch depend on minimal libcaffe2.so instead of libATen.so (#7399) * Have PyTorch depend on minimal libcaffe2.so instead of libATen.so * Build ATen tests as a part of Caffe2 build * Hopefully cufft and nvcc fPIC fixes * Make ATen install components optional * Add tests back for ATen and fix TH build * Fixes for test_install.sh script * Fixes for cpp_build/build_all.sh * Fixes for aten/tools/run_tests.sh * Switch ATen cmake calls to USE_CUDA instead of NO_CUDA * Attempt at fix for aten/tools/run_tests.sh * Fix typo in last commit * Fix valgrind call after pushd * Be forgiving about USE_CUDA disable like PyTorch * More fixes on the install side * Link all libcaffe2 during test run * Make cuDNN optional for ATen right now * Potential fix for non-CUDA builds * Use NCCL_ROOT_DIR environment variable * Pass -fPIC through nvcc to base compiler/linker * Remove THCUNN.h requirement for libtorch gen * Add Mac test for -Wmaybe-uninitialized * Potential Windows and Mac fixes * Move MSVC target props to shared function * Disable cpp_build/libtorch tests on Mac * Disable sleef for Windows builds * Move protos under BUILD_CAFFE2 * Remove space from linker flags passed with -Wl * Remove ATen from Caffe2 dep libs since directly included * Potential Windows fixes * Preserve options while sleef builds * Force BUILD_SHARED_LIBS flag for Caffe2 builds * Set DYLD_LIBRARY_PATH and LD_LIBRARY_PATH for Mac testing * Pass TORCH_CUDA_ARCH_LIST directly in cuda.cmake * Fixes for the last two changes * Potential fix for Mac build failure * Switch Caffe2 to build_caffe2 dir to not conflict * Cleanup FindMKL.cmake * Another attempt at Mac cpp_build fix * Clear cpp-build directory for Mac builds * Disable test in Mac build/test to match cmake
2018-05-24 14:47:27 +00:00
"USE_CUDA" OFF)
option(USE_FFMPEG "Use ffmpeg" OFF)
option(USE_GFLAGS "Use GFLAGS" ON)
option(USE_GLOG "Use GLOG" ON)
option(USE_LEVELDB "Use LEVELDB" ON)
option(USE_LITE_PROTO "Use lite protobuf instead of full." OFF)
option(USE_LMDB "Use LMDB" ON)
option(USE_METAL "Use Metal for iOS build" ON)
option(USE_MOBILE_OPENGL "Use OpenGL for mobile code" ON)
option(USE_NATIVE_ARCH "Use -march=native" OFF)
option(USE_NCCL "Use NCCL" ON)
[build] Have PyTorch depend on minimal libcaffe2.so instead of libATen.so (#7399) * Have PyTorch depend on minimal libcaffe2.so instead of libATen.so * Build ATen tests as a part of Caffe2 build * Hopefully cufft and nvcc fPIC fixes * Make ATen install components optional * Add tests back for ATen and fix TH build * Fixes for test_install.sh script * Fixes for cpp_build/build_all.sh * Fixes for aten/tools/run_tests.sh * Switch ATen cmake calls to USE_CUDA instead of NO_CUDA * Attempt at fix for aten/tools/run_tests.sh * Fix typo in last commit * Fix valgrind call after pushd * Be forgiving about USE_CUDA disable like PyTorch * More fixes on the install side * Link all libcaffe2 during test run * Make cuDNN optional for ATen right now * Potential fix for non-CUDA builds * Use NCCL_ROOT_DIR environment variable * Pass -fPIC through nvcc to base compiler/linker * Remove THCUNN.h requirement for libtorch gen * Add Mac test for -Wmaybe-uninitialized * Potential Windows and Mac fixes * Move MSVC target props to shared function * Disable cpp_build/libtorch tests on Mac * Disable sleef for Windows builds * Move protos under BUILD_CAFFE2 * Remove space from linker flags passed with -Wl * Remove ATen from Caffe2 dep libs since directly included * Potential Windows fixes * Preserve options while sleef builds * Force BUILD_SHARED_LIBS flag for Caffe2 builds * Set DYLD_LIBRARY_PATH and LD_LIBRARY_PATH for Mac testing * Pass TORCH_CUDA_ARCH_LIST directly in cuda.cmake * Fixes for the last two changes * Potential fix for Mac build failure * Switch Caffe2 to build_caffe2 dir to not conflict * Cleanup FindMKL.cmake * Another attempt at Mac cpp_build fix * Clear cpp-build directory for Mac builds * Disable test in Mac build/test to match cmake
2018-05-24 14:47:27 +00:00
option(USE_SYSTEM_NCCL "Use system-wide NCCL" OFF)
option(USE_NERVANA_GPU "Use Nervana GPU backend" OFF)
option(USE_NNAPI "Use NNAPI" OFF)
option(USE_NNPACK "Use NNPACK" ON)
option(USE_NUMA "Use NUMA (only available on Linux)" ON)
cmake_dependent_option(
USE_NVRTC "Use NVRTC. Only available if USE_CUDA is on." OFF
"USE_CUDA" OFF)
option(USE_NUMPY "Use NumPy" ON)
option(USE_OBSERVERS "Use observers module." OFF)
option(USE_OPENCL "Use OpenCL" OFF)
option(USE_OPENCV "Use OpenCV" ON)
option(USE_OPENMP "Use OpenMP for parallel code" OFF)
option(USE_PROF "Use profiling" OFF)
option(USE_REDIS "Use Redis" OFF)
2018-03-01 20:01:44 +00:00
option(USE_ROCKSDB "Use RocksDB" OFF)
option(USE_SNPE "Use Qualcomm's SNPE library" OFF)
option(USE_SYSTEM_EIGEN_INSTALL
"Use system Eigen instead of the one under third_party" OFF)
option(USE_TENSORRT "Using Nvidia TensorRT library" OFF)
option(USE_ZMQ "Use ZMQ" OFF)
option(USE_ZSTD "Use ZSTD" OFF)
option(USE_MKLDNN "Use MKLDNN" OFF)
option(USE_IDEEP "Use IDEEP interface in MKL BLAS" ON)
option(USE_MKLML "Use MKLML interface in MKL BLAS" ON)
option(USE_DISTRIBUTED "Use distributed" ON)
cmake_dependent_option(
USE_MPI "Use MPI for Caffe2. Only available if USE_DISTRIBUTED is on." ON
"USE_DISTRIBUTED" OFF)
cmake_dependent_option(
USE_GLOO "Use Gloo. Only available if USE_DISTRIBUTED is on." ON
"USE_DISTRIBUTED" OFF)
cmake_dependent_option(
USE_GLOO_IBVERBS "Use Gloo IB verbs for distributed. Only available if USE_GLOO is on." OFF
"USE_GLOO" OFF)
# Used when building Caffe2 through setup.py
option(BUILDING_WITH_TORCH_LIBS "Tell cmake if Caffe2 is being built alongside torch libs" OFF)
SET(ONNX_NAMESPACE "onnx_c2" CACHE STRING "onnx namespace")
if (ANDROID OR IOS)
set(BUILD_ATEN_MOBILE ON)
endif()
# ---[ Utils
# TODO: merge the following 3 files into cmake/public/utils.cmake.
include(cmake/Utils.cmake)
include(cmake/public/utils.cmake)
# ---[ Version numbers for generated libraries
set(TORCH_DEFAULT_VERSION "1.0.0")
set(TORCH_BUILD_VERSION "${TORCH_DEFAULT_VERSION}" CACHE STRING "Torch build version")
if (NOT TORCH_BUILD_VERSION)
# An empty string was specified so force version to the default
set(TORCH_BUILD_VERSION "${TORCH_DEFAULT_VERSION}"
CACHE STRING "Torch build version" FORCE)
endif()
caffe2_parse_version_str(TORCH ${TORCH_BUILD_VERSION})
caffe2_parse_version_str(CAFFE2 ${TORCH_BUILD_VERSION})
# ---[ CMake scripts + modules
list(APPEND CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/cmake/Modules)
# ---[ CMake build directories
set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib)
set(CMAKE_LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib)
set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin)
enable_testing()
[build] Have PyTorch depend on minimal libcaffe2.so instead of libATen.so (#7399) * Have PyTorch depend on minimal libcaffe2.so instead of libATen.so * Build ATen tests as a part of Caffe2 build * Hopefully cufft and nvcc fPIC fixes * Make ATen install components optional * Add tests back for ATen and fix TH build * Fixes for test_install.sh script * Fixes for cpp_build/build_all.sh * Fixes for aten/tools/run_tests.sh * Switch ATen cmake calls to USE_CUDA instead of NO_CUDA * Attempt at fix for aten/tools/run_tests.sh * Fix typo in last commit * Fix valgrind call after pushd * Be forgiving about USE_CUDA disable like PyTorch * More fixes on the install side * Link all libcaffe2 during test run * Make cuDNN optional for ATen right now * Potential fix for non-CUDA builds * Use NCCL_ROOT_DIR environment variable * Pass -fPIC through nvcc to base compiler/linker * Remove THCUNN.h requirement for libtorch gen * Add Mac test for -Wmaybe-uninitialized * Potential Windows and Mac fixes * Move MSVC target props to shared function * Disable cpp_build/libtorch tests on Mac * Disable sleef for Windows builds * Move protos under BUILD_CAFFE2 * Remove space from linker flags passed with -Wl * Remove ATen from Caffe2 dep libs since directly included * Potential Windows fixes * Preserve options while sleef builds * Force BUILD_SHARED_LIBS flag for Caffe2 builds * Set DYLD_LIBRARY_PATH and LD_LIBRARY_PATH for Mac testing * Pass TORCH_CUDA_ARCH_LIST directly in cuda.cmake * Fixes for the last two changes * Potential fix for Mac build failure * Switch Caffe2 to build_caffe2 dir to not conflict * Cleanup FindMKL.cmake * Another attempt at Mac cpp_build fix * Clear cpp-build directory for Mac builds * Disable test in Mac build/test to match cmake
2018-05-24 14:47:27 +00:00
# ---[ Build variables set within the cmake tree
include(cmake/BuildVariables.cmake)
set(CAFFE2_WHITELIST "" CACHE STRING "A whitelist file of files that one should build.")
# Set default build type
if(NOT CMAKE_BUILD_TYPE)
message(STATUS "Build type not set - defaulting to Release")
set(CMAKE_BUILD_TYPE "Release" CACHE STRING "Choose the type of build from: Debug Release RelWithDebInfo MinSizeRel Coverage." FORCE)
endif()
# ---[ Misc checks to cope with various compiler modes
include(cmake/MiscCheck.cmake)
# External projects
include(ExternalProject)
2016-12-06 16:39:15 +00:00
# ---[ Dependencies
include(cmake/Dependencies.cmake)
# ---[ Whitelist file if whitelist is specified
include(cmake/Whitelist.cmake)
# ---[ Set link flag, handle additional deps for gcc 4.8 and above
if(CMAKE_COMPILER_IS_GNUCXX AND CMAKE_CXX_COMPILER_VERSION VERSION_GREATER 4.8.0 AND NOT ANDROID)
message(STATUS "GCC ${CMAKE_CXX_COMPILER_VERSION}: Adding gcc and gcc_s libs to link line")
list(APPEND Caffe2_DEPENDENCY_LIBS gcc_s gcc)
endif()
2017-01-05 04:36:11 +00:00
# ---[ Build flags
set(CMAKE_C_STANDARD 99)
set(CMAKE_CXX_STANDARD 11)
Re-apply windows diff D4657831 Summary: (Note: previous revert was due to a race condition between D4657831 and D4659953 that I failed to catch.) After this, we should have contbuild guarding the Windows build both with and without CUDA. This includes a series of changes that are needed to make Windows build, specifically: (1) Various flags that are needed in the cmake system, specially dealing with /MD, /MT, cuda, cudnn, whole static linking, etc. (2) Contbuild scripts based on appveyo. (3) For Windows build, note that one will need to use "cmake --build" to build stuff so that the build type is consistent between configuration and actual build. see scripts\build_windows.bat for details. (4) In logging.h, ERROR is already defined by Windows. I don't have a good solution now, and as a result, LOG(ERROR) on windows is going to be LOG(INFO). (5) variable length array is not supported by MSVC (and it is not part of C++ standard). As a result I replaced them with vectors. (6) sched.h is not available on Windows, so akyrola 's awesome simple async net might encounter some slowdown due to no affinity setting on Windows. (7) MSVC has a bug that does not work very well with template calls inide a templated function call, which is a known issue that should be fixed in MSVC 2017. However for now this means changes to conv_op_impl.h and recurrent_net_op.h. No actual functionalities are changed. (8) std host function calls are not supported in CUDA8+MSVC, so I changed lp_pool (and maybe a few others) to use cuda device functions. (9) The current Scale and Axpy has heavy templating that does not work well with MSVC. As a result I reverted azzolini 's changes to the Scale and Axpy interface, moved the fixed-length version to ScaleFixedSize and AxpyFixedSize. (10) CUDA + MSVC does not deal with Eigen well, so I guarded all Eigen parts to only the non-CUDA part. (11) In conclusion, it is fun but painful to deal with visual c++. Differential Revision: D4666745 fbshipit-source-id: 3c9035083067bdb19a16d9c345c1ce66b6a86600
2017-03-07 18:56:26 +00:00
if(NOT MSVC)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -O2 -fPIC")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-narrowing")
# Eigen fails to build with some versions, so convert this to a warning
# Details at http://eigen.tuxfamily.org/bz/show_bug.cgi?id=1459
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wall")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wextra")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-missing-field-initializers")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-type-limits")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-array-bounds")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-unknown-pragmas")
2018-06-04 08:01:59 +00:00
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-sign-compare")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-unused-parameter")
2018-06-04 08:01:59 +00:00
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-unused-variable")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-unused-function")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-unused-result")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-strict-overflow")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-strict-aliasing")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-error=deprecated-declarations")
if (CMAKE_COMPILER_IS_GNUCXX AND NOT (CMAKE_CXX_COMPILER_VERSION VERSION_LESS 7.0.0))
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-stringop-overflow")
endif()
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-error=pedantic")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-error=redundant-decls")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-error=old-style-cast")
# These flags are not available in GCC-4.8.5. Set only when using clang.
# Compared against https://gcc.gnu.org/onlinedocs/gcc-4.8.5/gcc/Option-Summary.html
if ("${CMAKE_CXX_COMPILER_ID}" MATCHES "Clang")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-invalid-partial-specialization")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-typedef-redefinition")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-unknown-warning-option")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-unused-private-field")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-inconsistent-missing-override")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-aligned-allocation-unavailable")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-c++14-extensions")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-constexpr-not-const")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-missing-braces")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Qunused-arguments")
endif()
if ((APPLE AND (NOT ("${CLANG_VERSION_STRING}" VERSION_LESS "9.0")))
OR (CMAKE_COMPILER_IS_GNUCXX
AND (CMAKE_CXX_COMPILER_VERSION VERSION_GREATER 7.0 AND NOT APPLE)))
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -faligned-new")
endif()
if ($ENV{WERROR})
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Werror")
endif($ENV{WERROR})
if (NOT APPLE)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-unused-but-set-variable")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-maybe-uninitialized")
endif()
Re-apply windows diff D4657831 Summary: (Note: previous revert was due to a race condition between D4657831 and D4659953 that I failed to catch.) After this, we should have contbuild guarding the Windows build both with and without CUDA. This includes a series of changes that are needed to make Windows build, specifically: (1) Various flags that are needed in the cmake system, specially dealing with /MD, /MT, cuda, cudnn, whole static linking, etc. (2) Contbuild scripts based on appveyo. (3) For Windows build, note that one will need to use "cmake --build" to build stuff so that the build type is consistent between configuration and actual build. see scripts\build_windows.bat for details. (4) In logging.h, ERROR is already defined by Windows. I don't have a good solution now, and as a result, LOG(ERROR) on windows is going to be LOG(INFO). (5) variable length array is not supported by MSVC (and it is not part of C++ standard). As a result I replaced them with vectors. (6) sched.h is not available on Windows, so akyrola 's awesome simple async net might encounter some slowdown due to no affinity setting on Windows. (7) MSVC has a bug that does not work very well with template calls inide a templated function call, which is a known issue that should be fixed in MSVC 2017. However for now this means changes to conv_op_impl.h and recurrent_net_op.h. No actual functionalities are changed. (8) std host function calls are not supported in CUDA8+MSVC, so I changed lp_pool (and maybe a few others) to use cuda device functions. (9) The current Scale and Axpy has heavy templating that does not work well with MSVC. As a result I reverted azzolini 's changes to the Scale and Axpy interface, moved the fixed-length version to ScaleFixedSize and AxpyFixedSize. (10) CUDA + MSVC does not deal with Eigen well, so I guarded all Eigen parts to only the non-CUDA part. (11) In conclusion, it is fun but painful to deal with visual c++. Differential Revision: D4666745 fbshipit-source-id: 3c9035083067bdb19a16d9c345c1ce66b6a86600
2017-03-07 18:56:26 +00:00
else()
Added Ninja generator support on Windows Summary: I successfully built caffe2 using MSVC 2015 and the Ninja Generator. I use vcpkg to build glfags, glog, lmdb and protobuf. Here is my build procedure: 1. Install vcpkg and set it up according to vcpkg docs 2. Install dependencies ``` $> vcpkg install gflags glog lmdb protobuf eigen3 --triplet x64-windows-static ``` 3. Run CMake with this batch file ```Batch setlocal if NOT DEFINED VCPKG_DIR ( echo "Please defined VCPKG_DIR" && exit /b 1 ) if NOT DEFINED CMAKE_BUILD_TYPE set CMAKE_BUILD_TYPE=Release if NOT DEFINED BUILD_DIR set BUILD_DIR=build_%CMAKE_BUILD_TYPE% if NOT DEFINED USE_CUDA set USE_CUDA=OFF call "%VS140COMNTOOLS%\..\..\VC\vcvarsall.bat" amd64 if NOT EXIST %BUILD_DIR% (mkdir %BUILD_DIR%) pushd %BUILD_DIR% set CMAKE_GENERATOR=Ninja set ZLIB_LIBRARY=%VCPKG_DIR%\installed\x64-windows-static\lib\zlib.lib cmake -G"%CMAKE_GENERATOR%" ^ -DBUILD_SHARED_LIBS=OFF ^ -DCMAKE_VERBOSE_MAKEFILE=1 ^ -DBUILD_TEST=OFF ^ -DBUILD_SHARED_LIBS=OFF ^ -DCMAKE_BUILD_TYPE=%CMAKE_BUILD_TYPE% ^ -DUSE_CUDA=%USE_CUDA% ^ -DZLIB_LIBRARY:FILEPATH="%ZLIB_LIBRARY%" ^ -DVCPKG_TARGET_TRIPLET=x64-windows-static ^ -DVCPKG_APPLOCAL_DEPS:BOOL=OFF ^ -DCMAKE_TOOLCHAIN_FILE:FILEPATH=%VCPKG_DIR%\scripts\buildsystems\vcpkg.cmake ^ -DPROTOBUF_PROTOC_EXECUTABLE:FILEPATH=%VCPKG_DIR%\installed\x64-windows-static\tools\protoc.exe ^ ..\ ninja popd endlocal ``` Closes https://github.com/caffe2/caffe2/pull/880 Differential Revision: D5497384 Pulled By: Yangqing fbshipit-source-id: e0d81d3dbd3286ab925eddef0e6fbf99eb6375a5
2017-07-26 07:17:19 +00:00
foreach(flag_var
CMAKE_CXX_FLAGS CMAKE_CXX_FLAGS_DEBUG CMAKE_CXX_FLAGS_RELEASE
CMAKE_CXX_FLAGS_MINSIZEREL CMAKE_CXX_FLAGS_RELWITHDEBINFO)
if (${CAFFE2_USE_MSVC_STATIC_RUNTIME})
Re-apply windows diff D4657831 Summary: (Note: previous revert was due to a race condition between D4657831 and D4659953 that I failed to catch.) After this, we should have contbuild guarding the Windows build both with and without CUDA. This includes a series of changes that are needed to make Windows build, specifically: (1) Various flags that are needed in the cmake system, specially dealing with /MD, /MT, cuda, cudnn, whole static linking, etc. (2) Contbuild scripts based on appveyo. (3) For Windows build, note that one will need to use "cmake --build" to build stuff so that the build type is consistent between configuration and actual build. see scripts\build_windows.bat for details. (4) In logging.h, ERROR is already defined by Windows. I don't have a good solution now, and as a result, LOG(ERROR) on windows is going to be LOG(INFO). (5) variable length array is not supported by MSVC (and it is not part of C++ standard). As a result I replaced them with vectors. (6) sched.h is not available on Windows, so akyrola 's awesome simple async net might encounter some slowdown due to no affinity setting on Windows. (7) MSVC has a bug that does not work very well with template calls inide a templated function call, which is a known issue that should be fixed in MSVC 2017. However for now this means changes to conv_op_impl.h and recurrent_net_op.h. No actual functionalities are changed. (8) std host function calls are not supported in CUDA8+MSVC, so I changed lp_pool (and maybe a few others) to use cuda device functions. (9) The current Scale and Axpy has heavy templating that does not work well with MSVC. As a result I reverted azzolini 's changes to the Scale and Axpy interface, moved the fixed-length version to ScaleFixedSize and AxpyFixedSize. (10) CUDA + MSVC does not deal with Eigen well, so I guarded all Eigen parts to only the non-CUDA part. (11) In conclusion, it is fun but painful to deal with visual c++. Differential Revision: D4666745 fbshipit-source-id: 3c9035083067bdb19a16d9c345c1ce66b6a86600
2017-03-07 18:56:26 +00:00
if(${flag_var} MATCHES "/MD")
string(REGEX REPLACE "/MD" "/MT" ${flag_var} "${${flag_var}}")
endif(${flag_var} MATCHES "/MD")
else()
if(${flag_var} MATCHES "/MT")
string(REGEX REPLACE "/MT" "/MD" ${flag_var} "${${flag_var}}")
endif()
Added Ninja generator support on Windows Summary: I successfully built caffe2 using MSVC 2015 and the Ninja Generator. I use vcpkg to build glfags, glog, lmdb and protobuf. Here is my build procedure: 1. Install vcpkg and set it up according to vcpkg docs 2. Install dependencies ``` $> vcpkg install gflags glog lmdb protobuf eigen3 --triplet x64-windows-static ``` 3. Run CMake with this batch file ```Batch setlocal if NOT DEFINED VCPKG_DIR ( echo "Please defined VCPKG_DIR" && exit /b 1 ) if NOT DEFINED CMAKE_BUILD_TYPE set CMAKE_BUILD_TYPE=Release if NOT DEFINED BUILD_DIR set BUILD_DIR=build_%CMAKE_BUILD_TYPE% if NOT DEFINED USE_CUDA set USE_CUDA=OFF call "%VS140COMNTOOLS%\..\..\VC\vcvarsall.bat" amd64 if NOT EXIST %BUILD_DIR% (mkdir %BUILD_DIR%) pushd %BUILD_DIR% set CMAKE_GENERATOR=Ninja set ZLIB_LIBRARY=%VCPKG_DIR%\installed\x64-windows-static\lib\zlib.lib cmake -G"%CMAKE_GENERATOR%" ^ -DBUILD_SHARED_LIBS=OFF ^ -DCMAKE_VERBOSE_MAKEFILE=1 ^ -DBUILD_TEST=OFF ^ -DBUILD_SHARED_LIBS=OFF ^ -DCMAKE_BUILD_TYPE=%CMAKE_BUILD_TYPE% ^ -DUSE_CUDA=%USE_CUDA% ^ -DZLIB_LIBRARY:FILEPATH="%ZLIB_LIBRARY%" ^ -DVCPKG_TARGET_TRIPLET=x64-windows-static ^ -DVCPKG_APPLOCAL_DEPS:BOOL=OFF ^ -DCMAKE_TOOLCHAIN_FILE:FILEPATH=%VCPKG_DIR%\scripts\buildsystems\vcpkg.cmake ^ -DPROTOBUF_PROTOC_EXECUTABLE:FILEPATH=%VCPKG_DIR%\installed\x64-windows-static\tools\protoc.exe ^ ..\ ninja popd endlocal ``` Closes https://github.com/caffe2/caffe2/pull/880 Differential Revision: D5497384 Pulled By: Yangqing fbshipit-source-id: e0d81d3dbd3286ab925eddef0e6fbf99eb6375a5
2017-07-26 07:17:19 +00:00
endif()
# /bigobj increases number of sections in .obj file, which is needed to link
# against libaries in Python 2.7 under Windows
Added Ninja generator support on Windows Summary: I successfully built caffe2 using MSVC 2015 and the Ninja Generator. I use vcpkg to build glfags, glog, lmdb and protobuf. Here is my build procedure: 1. Install vcpkg and set it up according to vcpkg docs 2. Install dependencies ``` $> vcpkg install gflags glog lmdb protobuf eigen3 --triplet x64-windows-static ``` 3. Run CMake with this batch file ```Batch setlocal if NOT DEFINED VCPKG_DIR ( echo "Please defined VCPKG_DIR" && exit /b 1 ) if NOT DEFINED CMAKE_BUILD_TYPE set CMAKE_BUILD_TYPE=Release if NOT DEFINED BUILD_DIR set BUILD_DIR=build_%CMAKE_BUILD_TYPE% if NOT DEFINED USE_CUDA set USE_CUDA=OFF call "%VS140COMNTOOLS%\..\..\VC\vcvarsall.bat" amd64 if NOT EXIST %BUILD_DIR% (mkdir %BUILD_DIR%) pushd %BUILD_DIR% set CMAKE_GENERATOR=Ninja set ZLIB_LIBRARY=%VCPKG_DIR%\installed\x64-windows-static\lib\zlib.lib cmake -G"%CMAKE_GENERATOR%" ^ -DBUILD_SHARED_LIBS=OFF ^ -DCMAKE_VERBOSE_MAKEFILE=1 ^ -DBUILD_TEST=OFF ^ -DBUILD_SHARED_LIBS=OFF ^ -DCMAKE_BUILD_TYPE=%CMAKE_BUILD_TYPE% ^ -DUSE_CUDA=%USE_CUDA% ^ -DZLIB_LIBRARY:FILEPATH="%ZLIB_LIBRARY%" ^ -DVCPKG_TARGET_TRIPLET=x64-windows-static ^ -DVCPKG_APPLOCAL_DEPS:BOOL=OFF ^ -DCMAKE_TOOLCHAIN_FILE:FILEPATH=%VCPKG_DIR%\scripts\buildsystems\vcpkg.cmake ^ -DPROTOBUF_PROTOC_EXECUTABLE:FILEPATH=%VCPKG_DIR%\installed\x64-windows-static\tools\protoc.exe ^ ..\ ninja popd endlocal ``` Closes https://github.com/caffe2/caffe2/pull/880 Differential Revision: D5497384 Pulled By: Yangqing fbshipit-source-id: e0d81d3dbd3286ab925eddef0e6fbf99eb6375a5
2017-07-26 07:17:19 +00:00
set(${flag_var} "${${flag_var}} /MP /bigobj")
endforeach(flag_var)
endif()
2017-01-05 04:36:11 +00:00
set (CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -fno-omit-frame-pointer -O0")
set (CMAKE_LINKER_FLAGS_DEBUG "${CMAKE_STATIC_LINKER_FLAGS_DEBUG} -fno-omit-frame-pointer -O0")
2018-05-16 15:10:13 +00:00
if (USE_ASAN)
set (CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -fsanitize=address")
set (CMAKE_LINKER_FLAGS_DEBUG "${CMAKE_STATIC_LINKER_FLAGS_DEBUG} -fsanitize=address")
endif()
if (APPLE)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-unused-private-field")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-missing-braces")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-c++14-extensions")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-constexpr-not-const")
endif()
if(CMAKE_COMPILER_IS_GNUCXX AND CMAKE_CXX_COMPILER_VERSION VERSION_GREATER 7.0.0)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-stringop-overflow")
endif()
2018-03-02 14:24:05 +00:00
if(ANDROID)
if(CMAKE_COMPILER_IS_GNUCXX)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -s")
else()
set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -s")
endif()
endif()
if(NOT APPLE AND UNIX)
list(APPEND Caffe2_DEPENDENCY_LIBS dl)
endif()
# Prefix path to Caffe2 headers.
# If a directory containing installed Caffe2 headers was inadvertently
# added to the list of include directories, prefixing
# PROJECT_SOURCE_DIR means this source tree always takes precedence.
include_directories(BEFORE ${PROJECT_SOURCE_DIR})
# Prefix path to generated Caffe2 headers.
# These need to take precedence over their empty counterparts located
# in PROJECT_SOURCE_DIR.
include_directories(BEFORE ${PROJECT_BINARY_DIR})
include_directories(BEFORE ${PROJECT_SOURCE_DIR}/aten/src/)
# ---[ Main build
add_subdirectory(c10)
2016-12-05 00:42:00 +00:00
add_subdirectory(caffe2)
# --[ Documentation
if(BUILD_DOCS)
# check if Doxygen is installed
find_package(Doxygen)
if (DOXYGEN_FOUND)
message("Generating documentation")
set(DOXYGEN_C_IN ${CMAKE_CURRENT_SOURCE_DIR}/docs/caffe2/.Doxyfile-c)
set(DOXYGEN_C_OUT ${CMAKE_CURRENT_SOURCE_DIR}/docs/caffe2/Doxyfile-c)
set(DOXYGEN_P_IN ${CMAKE_CURRENT_SOURCE_DIR}/docs/caffe2/.Doxyfile-python)
set(DOXYGEN_P_OUT ${CMAKE_CURRENT_SOURCE_DIR}/docs/caffe2/Doxyfile-python)
if(EXISTS ${CMAKE_CURRENT_BINARY_DIR}/docs)
file(REMOVE_RECURSE ${CMAKE_CURRENT_BINARY_DIR}/docs)
endif()
file(MAKE_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/docs)
configure_file(${DOXYGEN_C_IN} ${DOXYGEN_C_OUT} @ONLY)
configure_file(${DOXYGEN_P_IN} ${DOXYGEN_P_OUT} @ONLY)
add_custom_target(doc_doxygen_c ALL
COMMAND ${DOXYGEN_EXECUTABLE} ${DOXYGEN_C_OUT}
WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
COMMENT "Generating C++ API documentation with Doxygen"
VERBATIM)
add_custom_target(doc_doxygen_python ALL
COMMAND ${DOXYGEN_EXECUTABLE} ${DOXYGEN_P_OUT}
WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
COMMENT "Generating Python API documentation with Doxygen"
VERBATIM)
else()
message(FATAL_ERROR "Doxygen needs to be installed to generate the documentation")
endif()
endif()
# ---[ CMake related files
# Uninistall option.
if(NOT TARGET caffe2_uninstall)
configure_file(
${CMAKE_CURRENT_SOURCE_DIR}/cmake/cmake_uninstall.cmake.in
${CMAKE_CURRENT_BINARY_DIR}/cmake_uninstall.cmake
IMMEDIATE @ONLY)
add_custom_target(caffe2_uninstall
COMMAND ${CMAKE_COMMAND} -P
${CMAKE_CURRENT_BINARY_DIR}/cmake_uninstall.cmake)
endif()
# ---[ Make configuration files for cmake to allow dependent libraries
# easier access to Caffe2.
if ((NOT USE_GLOG) OR (NOT USE_GFLAGS) OR BUILD_CUSTOM_PROTOBUF)
message(WARNING
"Generated cmake files are only fully tested if one builds "
"with system glog, gflags, and protobuf. Other settings may "
"generate files that are not well tested.")
endif()
[build] Have PyTorch depend on minimal libcaffe2.so instead of libATen.so (#7399) * Have PyTorch depend on minimal libcaffe2.so instead of libATen.so * Build ATen tests as a part of Caffe2 build * Hopefully cufft and nvcc fPIC fixes * Make ATen install components optional * Add tests back for ATen and fix TH build * Fixes for test_install.sh script * Fixes for cpp_build/build_all.sh * Fixes for aten/tools/run_tests.sh * Switch ATen cmake calls to USE_CUDA instead of NO_CUDA * Attempt at fix for aten/tools/run_tests.sh * Fix typo in last commit * Fix valgrind call after pushd * Be forgiving about USE_CUDA disable like PyTorch * More fixes on the install side * Link all libcaffe2 during test run * Make cuDNN optional for ATen right now * Potential fix for non-CUDA builds * Use NCCL_ROOT_DIR environment variable * Pass -fPIC through nvcc to base compiler/linker * Remove THCUNN.h requirement for libtorch gen * Add Mac test for -Wmaybe-uninitialized * Potential Windows and Mac fixes * Move MSVC target props to shared function * Disable cpp_build/libtorch tests on Mac * Disable sleef for Windows builds * Move protos under BUILD_CAFFE2 * Remove space from linker flags passed with -Wl * Remove ATen from Caffe2 dep libs since directly included * Potential Windows fixes * Preserve options while sleef builds * Force BUILD_SHARED_LIBS flag for Caffe2 builds * Set DYLD_LIBRARY_PATH and LD_LIBRARY_PATH for Mac testing * Pass TORCH_CUDA_ARCH_LIST directly in cuda.cmake * Fixes for the last two changes * Potential fix for Mac build failure * Switch Caffe2 to build_caffe2 dir to not conflict * Cleanup FindMKL.cmake * Another attempt at Mac cpp_build fix * Clear cpp-build directory for Mac builds * Disable test in Mac build/test to match cmake
2018-05-24 14:47:27 +00:00
if (USE_CUDA OR USE_ROCM)
# TODO: check if we should include other cuda dependency libraries
# to the interface as well.
endif()
# Note(jiayq): when building static libraries, all PRIVATE dependencies
# will also become interface libraries, and as a result if there are any
# dependency libraries that are not exported, the following install export
# script will fail. As a result, we will only provide the targets cmake
# files for shared lib installation. For more info, read:
# https://cmake.org/pipermail/cmake/2016-May/063400.html
if (BUILD_SHARED_LIBS)
configure_file(
${PROJECT_SOURCE_DIR}/cmake/Caffe2ConfigVersion.cmake.in
${PROJECT_BINARY_DIR}/Caffe2ConfigVersion.cmake
@ONLY)
configure_file(
${PROJECT_SOURCE_DIR}/cmake/Caffe2Config.cmake.in
${PROJECT_BINARY_DIR}/Caffe2Config.cmake
@ONLY)
install(FILES
${PROJECT_BINARY_DIR}/Caffe2ConfigVersion.cmake
${PROJECT_BINARY_DIR}/Caffe2Config.cmake
DESTINATION share/cmake/Caffe2
COMPONENT dev)
install(FILES
${PROJECT_SOURCE_DIR}/cmake/public/cuda.cmake
${PROJECT_SOURCE_DIR}/cmake/public/glog.cmake
${PROJECT_SOURCE_DIR}/cmake/public/gflags.cmake
${PROJECT_SOURCE_DIR}/cmake/public/mkl.cmake
${PROJECT_SOURCE_DIR}/cmake/public/protobuf.cmake
${PROJECT_SOURCE_DIR}/cmake/public/threads.cmake
${PROJECT_SOURCE_DIR}/cmake/public/utils.cmake
DESTINATION share/cmake/Caffe2/public
COMPONENT dev)
install(DIRECTORY
${PROJECT_SOURCE_DIR}/cmake/Modules_CUDA_fix
DESTINATION share/cmake/Caffe2/
COMPONENT dev)
install(EXPORT Caffe2Targets DESTINATION share/cmake/Caffe2
FILE Caffe2Targets.cmake
COMPONENT dev)
else()
message(WARNING
"Generated cmake files are only available when building "
"shared libs.")
endif()
# ---[ Modules
add_subdirectory(modules)
2018-03-01 20:01:44 +00:00
# ---[ Binaries
# Binaries will be built after the Caffe2 main libraries and the modules
# are built. For the binaries, they will be linked to the Caffe2 main
# libraries, as well as all the modules that are built with Caffe2 (the ones
# built in the previous Modules section above).
if (BUILD_BINARY)
add_subdirectory(binaries)
endif()
2018-03-01 20:01:44 +00:00
include(cmake/Summary.cmake)
caffe2_print_configuration_summary()