Files
pytorch/CMakeLists.txt
Matthew Sterrett 7e65060410 Adds support for accelerated sorting with x86-simd-sort (#127936)
Adds x86-simd-sort as a submodule to accelerate sorting for 32-bit and 64-bit datatypes when AVX2 or AVX512 are available.

For contiguous data, this can be over a 10x speedup for large arrays. For discontiguous data, it can give over a 4x speedup with larger arrays. These benchmarks were gathered on a Skylake system (7900x), limited to 8 threads.

<details>
<summary><b>Contiguous Benchmarks</b></summary>

```
float32, normally distributed (in microseconds)
size           Default        AVX2           AVX512         Default/AVX2   Default/AVX512
16             7.150844336    6.886271477    7.132277489    1.038420335    1.002603214
128            9.208030939    8.478154898    7.846915245    1.086089019    1.173458697
1024           37.79037627    23.60707456    16.44122627    1.600807257    2.298513241
10000          714.7355628    203.9921844    105.5683001    3.503739934    6.770361577
100000         8383.074408    721.6333354    465.3709247    11.61680593    18.01374766
1000000        97124.31945    5632.054572    3920.148401    17.24491803    24.77567416
10000000       1161974.907    86070.48988    71533.82301    13.50027063    16.24371323

int32_t, uniformly distributed (in microseconds)
size           Default        AVX2           AVX512         Default/AVX2   Default/AVX512
16             7.203208685    6.92212224     7.014458179    1.040606975    1.026908779
128            8.972388983    8.195516348    7.592543125    1.094792396    1.18173698
1024           32.77489477    23.6874548     15.36617105    1.383639359    2.132925285
10000          607.8824128    193.3402024    99.25090471    3.144107667    6.124703997
100000         523.9384684    608.1836536    442.3166784    0.861480682    1.184532472
1000000        5211.348627    5271.598405    3518.861883    0.988570871    1.480975611
10000000       133853.6263    81463.05084    67852.97394    1.643120714    1.972700952
```

</details>

Note that the int32_t sort is accelerated by FBGEMM's radix sort for larger arrays, but this only handles contiguous data and in one sorting direction.

<details>
<summary><b>Discontiguous Benchmarks</b></summary>

```
float, normal distributed, discontiguous in sorted dimension (in microseconds)
size           Default        AVX2           AVX512         Default/AVX2   Default/AVX512
16             3.836543679    4.011214256    3.84376061     0.956454439    0.99812243
128            5.755310194    5.755723127    4.820394962    0.999928257    1.193949923
1024           49.46946019    24.78790785    15.47874362    1.995709379    3.195960952
10000          665.2505291    236.6165959    143.9490662    2.811512551    4.621429974
100000         4328.002203    1329.001212    818.3516414    3.256582586    5.288682743
1000000        47651.5018     16693.72045    11827.39551    2.854456677    4.028909133
10000000       556655.1288    236252.6258    184215.9828    2.356185998    3.021752621

int32_t, uniformly distributed, discontiguous in sorted dimension  (in microseconds)
size           Default        AVX2           AVX512         Default/AVX2   Default/AVX512
16             3.817994356    3.878117442    3.770039797    0.984496837    1.012719908
128            5.578731397    5.577152082    4.716770534    1.000283176    1.182743862
1024           43.3412619     23.61275801    14.55446819    1.835501887    2.977866408
10000          634.3997478    224.4322851    133.9518324    2.826686667    4.736028889
100000         4084.358152    1292.363303    781.7867576    3.16037924     5.22438902
1000000        46262.20465    16608.35284    11367.51817    2.785478192    4.06968381
10000000       541231.9104    235185.1861    180249.9294    2.301301028    3.002674742
```

</details>

Pull Request resolved: https://github.com/pytorch/pytorch/pull/127936
Approved by: https://github.com/jgong5, https://github.com/peterbell10, https://github.com/sanchitintel
2024-11-02 02:14:01 +00:00

1411 lines
53 KiB
CMake

cmake_minimum_required(VERSION 3.18 FATAL_ERROR)
# cmake_policy(SET CMP0022 NEW) cmake_policy(SET CMP0023 NEW)
# Use compiler ID "AppleClang" instead of "Clang" for XCode. Not setting this
# sometimes makes XCode C compiler gets detected as "Clang", even when the C++
# one is detected as "AppleClang".
cmake_policy(SET CMP0010 NEW)
cmake_policy(SET CMP0025 NEW)
# Enables CMake to set LTO on compilers other than Intel.
cmake_policy(SET CMP0069 NEW)
# Enable the policy for CMake subprojects. protobuf currently causes issues
# set(CMAKE_POLICY_DEFAULT_CMP0069 NEW)
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# we do this (and we don't if cmake is old), but it's nice when it's possible,
# and it's possible on our Windows configs.
cmake_policy(SET CMP0092 NEW)
# Prohibit in-source builds
if(${CMAKE_SOURCE_DIR} STREQUAL ${CMAKE_BINARY_DIR})
message(FATAL_ERROR "In-source build are not supported")
endif()
# ---[ Project and semantic versioning.
project(Torch CXX C)
if(${CMAKE_SYSTEM_NAME} STREQUAL "Linux")
set(LINUX TRUE)
else()
set(LINUX FALSE)
endif()
set(CMAKE_INSTALL_MESSAGE NEVER)
# check and set CMAKE_CXX_STANDARD
string(FIND "${CMAKE_CXX_FLAGS}" "-std=c++" env_cxx_standard)
if(env_cxx_standard GREATER -1)
message(
WARNING
"C++ standard version definition detected in environment variable."
"PyTorch requires -std=c++17. Please remove -std=c++ settings in your environment."
)
endif()
set(CMAKE_CXX_STANDARD
17
CACHE STRING
"The C++ standard whose features are requested to build this target.")
set(CMAKE_C_STANDARD
11
CACHE STRING
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# ---[ Utils
include(cmake/public/utils.cmake)
# --- [ Check that minimal gcc version is 9.3+
if(CMAKE_COMPILER_IS_GNUCXX AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS 9.3)
message(
FATAL_ERROR
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)
endif()
# This define is needed to preserve behavior given anticpated changes to
# cccl/thrust
# https://nvidia.github.io/libcudacxx/standard_api/numerics_library/complex.html
string(APPEND CMAKE_CUDA_FLAGS
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string(APPEND CMAKE_CXX_FLAGS
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# Please note this is required in order to ensure compatibility between gcc
# 9 and gcc 7 This could be removed when all Linux PyTorch binary builds are
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endif()
set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
set(CMAKE_LINK_WHAT_YOU_USE TRUE)
# 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
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set(THREADS_PREFER_PTHREAD_FLAG ON)
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set(CPU_INTEL ON)
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set(CPU_AARCH64 ON)
endif()
# For non-supported platforms, turn USE_DISTRIBUTED off by default. It is not
# tested and likely won't work without additional changes.
if(NOT LINUX AND NOT WIN32)
set(USE_DISTRIBUTED
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# On macOS, if USE_DISTRIBUTED is enabled (specified by the user), then make
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if(APPLE AND USE_DISTRIBUTED)
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ON
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# ---[ Options. Note to developers: if you add an option below, make sure you
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include(CMakeDependentOption)
option(ATEN_NO_TEST "Do not build ATen test binaries" OFF)
option(BUILD_BINARY "Build C++ binaries" OFF)
option(BUILD_CUSTOM_PROTOBUF
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option(BUILD_PYTHON "Build Python binaries" ON)
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BUILD_LAZY_CUDA_LINALG "Build cuda linalg ops as separate library" ON
"USE_CUDA AND LINUX AND BUILD_PYTHON" OFF)
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option(CAFFE2_STATIC_LINK_CUDA "Statically link CUDA libraries" OFF)
cmake_dependent_option(USE_CUDNN "Use cuDNN" ON "USE_CUDA" OFF)
cmake_dependent_option(USE_STATIC_CUDNN "Use cuDNN static libraries" OFF
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cmake_dependent_option(USE_CUSPARSELT "Use cuSPARSELt" ON "USE_CUDA" OFF)
cmake_dependent_option(USE_CUDSS "Use cuDSS" ON "USE_CUDA" OFF)
# Binary builds will fail for cufile due to https://github.com/pytorch/builder/issues/1924
# Using TH_BINARY_BUILD to check whether is binary build.
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cmake_dependent_option(USE_CUFILE "Use cuFile" OFF
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option(USE_FBGEMM "Use FBGEMM (quantized 8-bit server operators)" ON)
option(USE_X86_SIMD_SORT "Use x86-simd-sort to accelerate sorting and topk for AVX2/AVX512" ON)
option(USE_KINETO "Use Kineto profiling library" ON)
option(USE_CUPTI_SO "Use CUPTI as a shared library" ON)
option(USE_FAKELOWP "Use FakeLowp operators" OFF)
option(USE_GFLAGS "Use GFLAGS" OFF)
option(USE_GLOG "Use GLOG" OFF)
option(USE_LITE_PROTO "Use lite protobuf instead of full." OFF)
option(USE_MAGMA "Use MAGMA" ON)
option(USE_PYTORCH_METAL "Use Metal for PyTorch iOS build" OFF)
option(USE_PYTORCH_METAL_EXPORT "Export Metal models on MacOSX desktop" OFF)
option(USE_NATIVE_ARCH "Use -march=native" OFF)
cmake_dependent_option(USE_MPS "Use MPS for macOS build" ON "MPS_FOUND" OFF)
cmake_dependent_option(USE_NCCL "Use NCCL" ON
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cmake_dependent_option(USE_RCCL "Use RCCL" ON USE_NCCL OFF)
cmake_dependent_option(USE_STATIC_NCCL "Use static NCCL" OFF "USE_NCCL" OFF)
cmake_dependent_option(USE_SYSTEM_NCCL "Use system-wide NCCL" OFF "USE_NCCL"
OFF)
option(USE_NNAPI "Use NNAPI" OFF)
option(USE_NNPACK "Use NNPACK" ON)
cmake_dependent_option(USE_NUMA "Use NUMA. Only available on Linux." ON "LINUX"
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cmake_dependent_option(USE_NVRTC "Use NVRTC. Only available if USE_CUDA is on."
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option(USE_NUMPY "Use NumPy" ON)
option(USE_OBSERVERS "Use observers module." OFF)
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option(USE_PRECOMPILED_HEADERS "Use pre-compiled headers to accelerate build."
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cmake_dependent_option(
USE_VALGRIND "Use Valgrind. Only available on Linux." ON
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if(NOT DEFINED USE_VULKAN)
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option(USE_SOURCE_DEBUG_ON_MOBILE "Enable" ON)
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USE_LITE_AOTI "Include AOTI sources" OFF
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option(USE_VULKAN_FP16_INFERENCE "Vulkan - Use fp16 inference" OFF)
option(USE_VULKAN_RELAXED_PRECISION
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# option USE_XNNPACK: try to enable xnnpack by default.
option(USE_XNNPACK "Use XNNPACK" ON)
option(USE_ROCM_KERNEL_ASSERT "Use Kernel Assert for ROCm" OFF)
# Ensure that an ITT build is the default for x86 CPUs
cmake_dependent_option(USE_ITT "Use Intel(R) VTune Profiler ITT functionality"
ON "CPU_INTEL" OFF)
# Ensure that an MKLDNN build is the default for x86 CPUs but optional for
# AArch64 (dependent on -DUSE_MKLDNN).
cmake_dependent_option(
USE_MKLDNN "Use MKLDNN. Only available on x86, x86_64, and AArch64."
"${CPU_INTEL}" "CPU_INTEL OR CPU_AARCH64" OFF)
cmake_dependent_option(
USE_MKLDNN_ACL "Use Compute Library for the Arm architecture." OFF
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set(MKLDNN_ENABLE_CONCURRENT_EXEC ${USE_MKLDNN})
cmake_dependent_option(USE_MKLDNN_CBLAS "Use CBLAS in MKLDNN" OFF "USE_MKLDNN"
OFF)
option(USE_STATIC_MKL "Prefer to link with MKL statically (Unix only)" OFF)
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_UCC "Use UCC. Only available if USE_DISTRIBUTED is on." OFF
"USE_DISTRIBUTED" OFF)
cmake_dependent_option(USE_SYSTEM_UCC "Use system-wide UCC" OFF "USE_UCC" OFF)
cmake_dependent_option(USE_C10D_UCC "USE C10D UCC" ON "USE_DISTRIBUTED;USE_UCC"
OFF)
cmake_dependent_option(
USE_GLOO "Use Gloo. Only available if USE_DISTRIBUTED is on." ON
"USE_DISTRIBUTED" OFF)
cmake_dependent_option(
USE_GLOO_WITH_OPENSSL "Use Gloo with OpenSSL. Only available if USE_GLOO is on." OFF
"USE_GLOO AND LINUX AND NOT INTERN_BUILD_MOBILE" OFF)
cmake_dependent_option(
USE_C10D_GLOO "USE C10D GLOO" ON "USE_DISTRIBUTED;USE_GLOO" OFF)
cmake_dependent_option(
USE_C10D_NCCL "USE C10D NCCL" ON "USE_DISTRIBUTED;USE_NCCL" OFF)
cmake_dependent_option(
USE_C10D_MPI "USE C10D MPI" ON "USE_DISTRIBUTED;USE_MPI" OFF)
cmake_dependent_option(
USE_TENSORPIPE "Use TensorPipe. Only available if USE_DISTRIBUTED is on." ON
"USE_DISTRIBUTED AND NOT WIN32" OFF)
option(ONNX_ML "Enable traditional ONNX ML API." ON)
option(HAVE_SOVERSION "Whether to add SOVERSION to the shared objects" OFF)
option(BUILD_LIBTORCH_CPU_WITH_DEBUG
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cmake_dependent_option(
USE_CCACHE "Attempt using CCache to wrap the compilation" ON "UNIX" OFF)
option(WERROR "Build with -Werror supported by the compiler" OFF)
option(
DEBUG_CUDA
"When compiling DEBUG, also attempt to compile CUDA with debug flags (may cause nvcc to OOM)"
OFF)
option(USE_COREML_DELEGATE "Use the CoreML backend through delegate APIs" OFF)
option(USE_PER_OPERATOR_HEADERS
"Whether ATen should generate separate headers for each operator" ON)
cmake_dependent_option(
BUILD_LAZY_TS_BACKEND
"Build the lazy Torchscript backend, not compatible with mobile builds" ON
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cmake_dependent_option(BUILD_FUNCTORCH "Build Functorch" ON "BUILD_PYTHON" OFF)
cmake_dependent_option(BUILD_BUNDLE_PTXAS "Bundle PTX into torch/bin fodler"
OFF "USE_CUDA" OFF)
option(USE_MIMALLOC "Use mimalloc" OFF)
# Enable third party mimalloc library to improve memory allocation performance
# on Windows.
option(USE_MIMALLOC_ON_MKL "Use mimalloc on MKL" OFF)
if(WIN32)
set(USE_MIMALLOC ON)
# Not enable USE_MIMALLOC_ON_MKL due to it caused issue:
# https://github.com/pytorch/pytorch/issues/138994
# Will turn on when we can fix USE_STATIC_MKL lost functionality:
# https://github.com/pytorch/pytorch/pull/138996
# set(USE_MIMALLOC_ON_MKL ON)
endif()
if(USE_CCACHE)
find_program(CCACHE_PROGRAM ccache)
if(CCACHE_PROGRAM)
set(CMAKE_C_COMPILER_LAUNCHER
"${CCACHE_PROGRAM}"
CACHE STRING "C compiler launcher")
set(CMAKE_CXX_COMPILER_LAUNCHER
"${CCACHE_PROGRAM}"
CACHE STRING "CXX compiler launcher")
set(CMAKE_CUDA_COMPILER_LAUNCHER
"${CCACHE_PROGRAM}"
CACHE STRING "CUDA compiler launcher")
else()
message(
STATUS
"Could not find ccache. Consider installing ccache to speed up compilation."
)
endif()
endif()
# Since TensorPipe does not support Windows, set it to OFF when WIN32 detected
# On Windows platform, if user does not install libuv in build conda env and
# does not set libuv_ROOT environment variable. Set USE_DISTRIBUTED to OFF.
if(WIN32)
set(USE_TENSORPIPE OFF)
message(WARNING "TensorPipe cannot be used on Windows. Set it to OFF")
if(USE_DISTRIBUTED AND NOT DEFINED ENV{libuv_ROOT})
find_library(
libuv_tmp_LIBRARY
NAMES uv libuv
HINTS $ENV{CONDA_PREFIX}\\Library $ENV{PREFIX}\\Library
PATH_SUFFIXES lib
NO_DEFAULT_PATH)
if(NOT libuv_tmp_LIBRARY)
set(USE_DISTRIBUTED OFF)
set(USE_GLOO OFF)
message(
WARNING
"Libuv is not installed in current conda env. Set USE_DISTRIBUTED to OFF. "
"Please run command 'conda install -c conda-forge libuv=1.39' to install libuv."
)
else()
set(ENV{libuv_ROOT} ${libuv_tmp_LIBRARY}/../../)
endif()
endif()
endif()
if(USE_GLOO_WITH_OPENSSL)
set(USE_TCP_OPENSSL_LOAD
ON
CACHE STRING "")
endif()
# Linux distributions do not want too many embedded sources, in that sense we
# need to be able to build pytorch with an (almost) empty third_party directory.
# USE_SYSTEM_LIBS is a shortcut variable to toggle all the # USE_SYSTEM_*
# variables on. Individual USE_SYSTEM_* variables can be toggled with
# USE_SYSTEM_LIBS being "OFF".
option(USE_SYSTEM_LIBS "Use all available system-provided libraries." OFF)
option(USE_SYSTEM_CPUINFO "Use system-provided cpuinfo." OFF)
option(USE_SYSTEM_SLEEF "Use system-provided sleef." OFF)
option(USE_SYSTEM_GLOO "Use system-provided gloo." OFF)
option(USE_SYSTEM_FP16 "Use system-provided fp16." OFF)
option(USE_SYSTEM_PYBIND11 "Use system-provided PyBind11." OFF)
option(USE_SYSTEM_PTHREADPOOL "Use system-provided pthreadpool." OFF)
option(USE_SYSTEM_PSIMD "Use system-provided psimd." OFF)
option(USE_SYSTEM_FXDIV "Use system-provided fxdiv." OFF)
option(USE_SYSTEM_BENCHMARK "Use system-provided google benchmark." OFF)
option(USE_SYSTEM_ONNX "Use system-provided onnx." OFF)
option(USE_SYSTEM_XNNPACK "Use system-provided xnnpack." OFF)
OPTION(USE_SYSTEM_NVTX "Use system-provided nvtx." OFF)
option(USE_GOLD_LINKER "Use ld.gold to link" OFF)
if(USE_SYSTEM_LIBS)
set(USE_SYSTEM_CPUINFO ON)
set(USE_SYSTEM_SLEEF ON)
set(USE_SYSTEM_GLOO ON)
set(BUILD_CUSTOM_PROTOBUF OFF)
set(USE_SYSTEM_EIGEN_INSTALL ON)
set(USE_SYSTEM_FP16 ON)
set(USE_SYSTEM_PTHREADPOOL ON)
set(USE_SYSTEM_PSIMD ON)
set(USE_SYSTEM_FXDIV ON)
set(USE_SYSTEM_BENCHMARK ON)
set(USE_SYSTEM_ONNX ON)
set(USE_SYSTEM_XNNPACK ON)
set(USE_SYSTEM_PYBIND11 ON)
if(USE_NCCL)
set(USE_SYSTEM_NCCL ON)
endif()
set(USE_SYSTEM_NVTX ON)
endif()
# /Z7 override option When generating debug symbols, CMake default to use the
# flag /Zi. However, it is not compatible with sccache. So we rewrite it off.
# But some users don't use sccache; this override is for them.
cmake_dependent_option(
MSVC_Z7_OVERRIDE
"Work around sccache bug by replacing /Zi and /ZI with /Z7 when using MSVC (if you are not using sccache, you can turn this OFF)"
ON
"MSVC"
OFF)
if(NOT USE_SYSTEM_ONNX)
set(ONNX_NAMESPACE
"onnx_torch"
CACHE
STRING
"A namespace for ONNX; needed to build with other frameworks that share ONNX."
)
else()
set(ONNX_NAMESPACE
"onnx"
CACHE
STRING
"A namespace for ONNX; needed to build with other frameworks that share ONNX."
)
endif()
set(SELECTED_OP_LIST
""
CACHE
STRING
"Path to the yaml file that contains the list of operators to include for custom build. Include all operators by default."
)
option(
STATIC_DISPATCH_BACKEND
"Name of the backend for which static dispatch code is generated, e.g.: CPU."
"")
option(
USE_LIGHTWEIGHT_DISPATCH
"Enable codegen unboxing for ATen ops, need to work with static dispatch in order to work properly."
OFF)
if(USE_LIGHTWEIGHT_DISPATCH AND NOT STATIC_DISPATCH_BACKEND)
message(
FATAL_ERROR
"Need to enable static dispatch after enabling USE_LIGHTWEIGHT_DISPATCH.")
endif()
option(TRACING_BASED
"Master flag to build Lite Interpreter with tracing build option" OFF)
option(BUILD_EXECUTORCH "Master flag to build Executorch" ON)
# This is a fix for a rare build issue on Ubuntu: symbol lookup error:
# miniconda3/envs/pytorch-py3.7/lib/libmkl_intel_lp64.so: undefined symbol:
# mkl_blas_dsyrk
# https://software.intel.com/en-us/articles/symbol-lookup-error-when-linking-intel-mkl-with-gcc-on-ubuntu
if(LINUX)
set(CMAKE_SHARED_LINKER_FLAGS
"${CMAKE_SHARED_LINKER_FLAGS} -Wl,--no-as-needed")
set(ENV_LDFLAGS "$ENV{LDFLAGS}")
string(STRIP "${ENV_LDFLAGS}" ENV_LDFLAGS)
# Do not append linker flags passed via env var if they already there
if(NOT ${CMAKE_SHARED_LINKER_FLAGS} MATCHES "${ENV_LDFLAGS}")
set(CMAKE_SHARED_LINKER_FLAGS
"${CMAKE_SHARED_LINKER_FLAGS} ${ENV_LDFLAGS}")
endif()
endif()
if(MSVC)
# MSVC by default does not apply the correct __cplusplus version as specified
# by the C++ standard because MSVC is not a completely compliant
# implementation. This option forces MSVC to use the appropriate value given
# the requested --std option. This fixes a compilation issue mismatch between
# GCC/Clang and MSVC.
#
# See: *
# https://learn.microsoft.com/en-us/cpp/build/reference/zc-cplusplus?view=msvc-170
# * https://en.cppreference.com/w/cpp/preprocessor/replace#Predefined_macros
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /Zc:__cplusplus")
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -Xcompiler /Zc:__cplusplus")
set(CMAKE_NINJA_CMCLDEPS_RC OFF)
foreach(
flag_var
CMAKE_C_FLAGS
CMAKE_C_FLAGS_DEBUG
CMAKE_C_FLAGS_RELEASE
CMAKE_C_FLAGS_MINSIZEREL
CMAKE_C_FLAGS_RELWITHDEBINFO
CMAKE_CXX_FLAGS
CMAKE_CXX_FLAGS_DEBUG
CMAKE_CXX_FLAGS_RELEASE
CMAKE_CXX_FLAGS_MINSIZEREL
CMAKE_CXX_FLAGS_RELWITHDEBINFO)
# Replace /Zi and /ZI with /Z7
if(MSVC_Z7_OVERRIDE)
if(${flag_var} MATCHES "/Z[iI]")
string(REGEX REPLACE "/Z[iI]" "/Z7" ${flag_var} "${${flag_var}}")
endif(${flag_var} MATCHES "/Z[iI]")
endif(MSVC_Z7_OVERRIDE)
if(${CAFFE2_USE_MSVC_STATIC_RUNTIME})
if(${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()
endif()
# /bigobj increases number of sections in .obj file, which is needed to link
# against libraries in Python 2.7 under Windows For Visual Studio
# generators, if /MP is not added, then we may need to add /MP to the flags.
# For other generators like ninja, we don't need to add /MP because it is
# already handled by the generator itself.
if(CMAKE_GENERATOR MATCHES "Visual Studio" AND NOT ${flag_var} MATCHES
"/MP")
set(${flag_var} "${${flag_var}} /MP /bigobj")
else()
set(${flag_var} "${${flag_var}} /bigobj")
endif()
endforeach(flag_var)
foreach(flag_var
CMAKE_C_FLAGS CMAKE_C_FLAGS_RELEASE CMAKE_C_FLAGS_MINSIZEREL
CMAKE_CXX_FLAGS CMAKE_CXX_FLAGS_RELEASE CMAKE_CXX_FLAGS_MINSIZEREL)
if(${flag_var} MATCHES "/Z[iI7]")
string(REGEX REPLACE "/Z[iI7]" "" ${flag_var} "${${flag_var}}")
endif()
endforeach(flag_var)
foreach(
flag_var
CMAKE_SHARED_LINKER_FLAGS_RELWITHDEBINFO
CMAKE_STATIC_LINKER_FLAGS_RELWITHDEBINFO
CMAKE_EXE_LINKER_FLAGS_RELWITHDEBINFO
CMAKE_MODULE_LINKER_FLAGS_RELWITHDEBINFO
CMAKE_SHARED_LINKER_FLAGS_DEBUG
CMAKE_STATIC_LINKER_FLAGS_DEBUG
CMAKE_EXE_LINKER_FLAGS_DEBUG
CMAKE_MODULE_LINKER_FLAGS_DEBUG)
# Switch off incremental linking in debug/relwithdebinfo builds
if(${flag_var} MATCHES "/INCREMENTAL" AND NOT ${flag_var} MATCHES
"/INCREMENTAL:NO")
string(REGEX REPLACE "/INCREMENTAL" "/INCREMENTAL:NO" ${flag_var}
"${${flag_var}}")
endif()
endforeach(flag_var)
foreach(flag_var CMAKE_SHARED_LINKER_FLAGS CMAKE_STATIC_LINKER_FLAGS
CMAKE_EXE_LINKER_FLAGS CMAKE_MODULE_LINKER_FLAGS)
string(APPEND ${flag_var} " /ignore:4049 /ignore:4217 /ignore:4099")
endforeach(flag_var)
foreach(flag_var CMAKE_SHARED_LINKER_FLAGS)
# https://github.com/pytorch/pytorch/issues/91933: Don't set the manifest
# filename explicitly helps fix the linker error when linking
# torch_python.dll. The manifest file would still be there in the correct
# format torch_python.dll.manifest
if(${flag_var} MATCHES "/MANIFESTFILE:.*\\.manifest")
string(REGEX REPLACE "/MANIFESTFILE:.*\\.manifest" "" ${flag_var}
"${${flag_var}}")
endif()
endforeach(flag_var)
# Try harder
string(APPEND CMAKE_CUDA_FLAGS " -Xcompiler /w -w")
string(APPEND CMAKE_CXX_FLAGS " /FS")
string(APPEND CMAKE_CUDA_FLAGS " -Xcompiler /FS")
endif(MSVC)
string(APPEND CMAKE_CUDA_FLAGS " -Xfatbin -compress-all")
# Set INTERN_BUILD_MOBILE for all mobile builds. Components that are not
# applicable to mobile are disabled by this variable. Setting
# `BUILD_PYTORCH_MOBILE_WITH_HOST_TOOLCHAIN` environment variable can force it
# to do mobile build with host toolchain - which is useful for testing purpose.
if(ANDROID
OR IOS
OR DEFINED ENV{BUILD_PYTORCH_MOBILE_WITH_HOST_TOOLCHAIN})
set(INTERN_BUILD_MOBILE ON)
message(WARNING "INTERN_BUILD_MOBILE is on, disabling BUILD_LAZY_TS_BACKEND")
set(BUILD_LAZY_TS_BACKEND OFF)
# Set -ffunction-sections and -fdata-sections so that each method has its own
# text section. This allows the linker to remove unused section when the flag
# -Wl,-gc-sections is provided at link time.
string(APPEND CMAKE_CXX_FLAGS " -ffunction-sections")
string(APPEND CMAKE_C_FLAGS " -ffunction-sections")
string(APPEND CMAKE_CXX_FLAGS " -fdata-sections")
string(APPEND CMAKE_C_FLAGS " -fdata-sections")
# Please note that the use of the following flags is required when linking
# against libtorch_cpu.a for mobile builds. -Wl,--whole-archive -ltorch_cpu
# -Wl,--no-whole-archive
#
# This allows global constructors to be included and run. Global constructors
# are used for operator/kernel registration with the PyTorch Dispatcher.
if(DEFINED ENV{BUILD_PYTORCH_MOBILE_WITH_HOST_TOOLCHAIN})
# C10_MOBILE is derived from Android/iOS toolchain macros in
# c10/macros/Macros.h, so it needs to be explicitly set here.
string(APPEND CMAKE_CXX_FLAGS " -DC10_MOBILE")
endif()
if(DEFINED ENV{PYTORCH_MOBILE_TRIM_DISPATCH_KEY_SET})
# If PYTORCH_MOBILE_TRIM_DISPATCH_KEY_SET is defined (env var), then define
# C10_MOBILE_TRIM_DISPATCH_KEYS, which limits the number of dispatch keys in
# OperatorEntry::dispatchTable_ to reduce peak memory during library
# initialization.
string(APPEND CMAKE_CXX_FLAGS " -DC10_MOBILE_TRIM_DISPATCH_KEYS")
endif()
endif()
# INTERN_BUILD_ATEN_OPS is used to control whether to build ATen/TH operators.
set(INTERN_BUILD_ATEN_OPS ON)
if(NOT DEFINED USE_BLAS)
set(USE_BLAS ON)
endif()
# Build libtorch mobile library, which contains ATen/TH ops and native support
# for TorchScript model, but doesn't contain not-yet-unified caffe2 ops;
if(INTERN_BUILD_MOBILE)
if(NOT BUILD_SHARED_LIBS AND NOT "${SELECTED_OP_LIST}" STREQUAL "")
string(APPEND CMAKE_CXX_FLAGS " -DNO_EXPORT")
endif()
if(BUILD_MOBILE_AUTOGRAD)
set(INTERN_DISABLE_AUTOGRAD OFF)
else()
set(INTERN_DISABLE_AUTOGRAD ON)
endif()
set(BUILD_PYTHON OFF)
set(BUILD_FUNCTORCH OFF)
set(USE_DISTRIBUTED OFF)
set(NO_API ON)
set(USE_FBGEMM OFF)
set(INTERN_DISABLE_ONNX ON)
if(USE_BLAS)
set(INTERN_USE_EIGEN_BLAS ON)
else()
set(INTERN_USE_EIGEN_BLAS OFF)
endif()
# Disable developing mobile interpreter for actual mobile build. Enable it
# elsewhere to capture build error.
set(INTERN_DISABLE_MOBILE_INTERP ON)
endif()
# ---[ Version numbers for generated libraries
file(READ version.txt TORCH_DEFAULT_VERSION)
# Strip trailing newline
string(REGEX REPLACE "\n$" "" TORCH_DEFAULT_VERSION "${TORCH_DEFAULT_VERSION}")
if("${TORCH_DEFAULT_VERSION} " STREQUAL " ")
message(WARNING "Could not get version from base 'version.txt'")
# If we can't get the version from the version file we should probably set it
# to something non-sensical like 0.0.0
set(TORCH_DEFAULT_VERSION, "0.0.0")
endif()
set(TORCH_BUILD_VERSION
"${TORCH_DEFAULT_VERSION}"
CACHE STRING "Torch build version")
if(DEFINED ENV{PYTORCH_BUILD_VERSION})
set(TORCH_BUILD_VERSION
"$ENV{PYTORCH_BUILD_VERSION}"
CACHE STRING "Torch build version" FORCE)
endif()
if(NOT TORCH_BUILD_VERSION)
# An empty string was specified so force version to the default
set(TORCH_BUILD_VERSION
"${TORCH_DEFAULT_VERSION}"
CACHE STRING "Torch build version" FORCE)
endif()
caffe2_parse_version_str(TORCH ${TORCH_BUILD_VERSION})
set(TORCH_SOVERSION "${TORCH_VERSION_MAJOR}.${TORCH_VERSION_MINOR}")
# ---[ 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 ${CMAKE_BINARY_DIR}/bin)
enable_testing()
# ---[ Build variables set within the cmake tree
include(cmake/BuildVariables.cmake)
set(CAFFE2_ALLOWLIST
""
CACHE STRING "A allowlist file of files that one should build.")
# Set default build type
if(NOT CMAKE_BUILD_TYPE)
message(STATUS "Build type not set - defaulting to Release")
set(CMAKE_BUILD_TYPE
"Release"
CACHE
STRING
"Choose the type of build from: Debug Release RelWithDebInfo MinSizeRel Coverage."
FORCE)
endif()
# The below means we are cross compiling for arm64 or x86_64 on MacOSX
if(NOT IOS
AND CMAKE_SYSTEM_NAME STREQUAL "Darwin"
AND CMAKE_OSX_ARCHITECTURES MATCHES "^(x86_64|arm64)$")
set(CROSS_COMPILING_MACOSX TRUE)
# We need to compile a universal protoc to not fail protobuf build We set
# CMAKE_TRY_COMPILE_TARGET_TYPE to STATIC_LIBRARY (vs executable) to succeed
# the cmake compiler check for cross-compiling
set(protoc_build_command
"./scripts/build_host_protoc.sh --other-flags -DCMAKE_OSX_ARCHITECTURES=\"x86_64;arm64\" -DCMAKE_TRY_COMPILE_TARGET_TYPE=STATIC_LIBRARY -DCMAKE_C_COMPILER_WORKS=1 -DCMAKE_CXX_COMPILER_WORKS=1"
)
# We write to a temp scriptfile because CMake COMMAND dislikes double quotes
# in commands
file(WRITE ${PROJECT_SOURCE_DIR}/tmp_protoc_script.sh
"#!/bin/bash\n${protoc_build_command}")
file(
COPY ${PROJECT_SOURCE_DIR}/tmp_protoc_script.sh
DESTINATION ${PROJECT_SOURCE_DIR}/scripts/
FILE_PERMISSIONS OWNER_EXECUTE OWNER_WRITE OWNER_READ)
execute_process(
COMMAND ./scripts/tmp_protoc_script.sh
WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}
RESULT_VARIABLE BUILD_HOST_PROTOC_RESULT)
file(REMOVE ${PROJECT_SOURCE_DIR}/tmp_protoc_script.sh
${PROJECT_SOURCE_DIR}/scripts/tmp_protoc_script.sh)
if(NOT BUILD_HOST_PROTOC_RESULT EQUAL "0")
message(FATAL_ERROR "Could not compile universal protoc.")
endif()
set(PROTOBUF_PROTOC_EXECUTABLE
"${PROJECT_SOURCE_DIR}/build_host_protoc/bin/protoc")
set(CAFFE2_CUSTOM_PROTOC_EXECUTABLE
"${PROJECT_SOURCE_DIR}/build_host_protoc/bin/protoc")
endif()
# ---[ Misc checks to cope with various compiler modes
include(cmake/MiscCheck.cmake)
# External projects
include(ExternalProject)
# ---[ Dependencies ---[ FBGEMM doesn't work on x86 32bit and
# CMAKE_SYSTEM_PROCESSOR thinks its 64bit
if(USE_FBGEMM
AND((CMAKE_SYSTEM_PROCESSOR STREQUAL "x86_64" AND CMAKE_SIZEOF_VOID_P EQUAL
4)
OR CMAKE_SYSTEM_PROCESSOR STREQUAL "x86"))
set(USE_FBGEMM OFF)
endif()
set(BUILD_ONEDNN_GRAPH OFF)
if(MSVC)
# The source code is in utf-8 encoding
append_cxx_flag_if_supported("/utf-8" CMAKE_CXX_FLAGS)
endif()
# Note for ROCM platform: 1. USE_ROCM is always ON until
# include(cmake/Dependencies.cmake) 2. USE_CUDA will become OFF during
# re-configuration Truth Table: CUDA 1st pass: USE_CUDA=True;USE_ROCM=True,
# FLASH evaluates to ON by default CUDA 2nd pass: USE_CUDA=True;USE_ROCM=False,
# FLASH evaluates to ON by default ROCM 1st pass: USE_CUDA=True;USE_ROCM=True,
# FLASH evaluates to ON by default ROCM 2nd pass: USE_CUDA=False;USE_ROCM=True,
# FLASH evaluates to ON by default CPU 1st pass: USE_CUDA=False(Cmd
# Option);USE_ROCM=True, FLASH evaluates to OFF by default CPU 2nd pass:
# USE_CUDA=False(Cmd Option);USE_ROCM=False, FLASH evaluates to OFF by default
# Thus we cannot tell ROCM 2nd pass and CPU 1st pass
#
# The only solution is to include(cmake/Dependencies.cmake), and defer the
# aotriton build decision later.
include(cmake/Dependencies.cmake)
cmake_dependent_option(
USE_FLASH_ATTENTION
"Whether to build the flash_attention kernel for scaled dot product attention.\
Will be disabled if not supported by the platform"
ON
"USE_CUDA OR USE_ROCM;NOT MSVC"
OFF)
# We are currenlty not using alibi attention for Flash So we disable this
# feature by default We dont currently document this feature because we don't
# Suspect users building from source will need this
add_definitions(-DFLASHATTENTION_DISABLE_ALIBI)
# CAVEAT: Again, Flash Attention2 will error while building for sm52 while Mem
# Eff Attention won't
cmake_dependent_option(
USE_MEM_EFF_ATTENTION
"Enable memory-efficient attention for scaled dot product attention.\
Will be disabled if not supported by the platform" ON
"USE_CUDA OR USE_ROCM" OFF)
#
# Cannot be put into Dependencies.cmake due circular dependency:
# USE_FLASH_ATTENTION -> USE_ROCM -> Dependencies.cmake -> aotriton.cmake
#
if(USE_ROCM)
if(USE_FLASH_ATTENTION OR USE_MEM_EFF_ATTENTION)
include(cmake/External/aotriton.cmake)
endif()
endif()
if(DEBUG_CUDA)
string(APPEND CMAKE_CUDA_FLAGS_DEBUG " -lineinfo")
string(APPEND CMAKE_CUDA_FLAGS_RELWITHDEBINFO " -lineinfo")
# CUDA-12.1 crashes when trying to compile with --source-in-ptx See
# https://github.com/pytorch/pytorch/issues/102372#issuecomment-1572526893
if(CMAKE_CUDA_COMPILER_VERSION VERSION_LESS 12.1)
string(APPEND CMAKE_CUDA_FLAGS_DEBUG " --source-in-ptx")
string(APPEND CMAKE_CUDA_FLAGS_RELWITHDEBINFO " --source-in-ptx")
endif()
endif(DEBUG_CUDA)
if(USE_FBGEMM)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_FBGEMM")
endif()
if(USE_X86_SIMD_SORT)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_X86_SIMD_SORT")
if(USE_XSS_OPENMP)
string(APPEND CMAKE_CXX_FLAGS " -DXSS_USE_OPENMP")
endif()
endif()
if(USE_PYTORCH_QNNPACK)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_PYTORCH_QNNPACK")
endif()
# Enable sleef on macOS with Apple silicon by default
if((${CMAKE_SYSTEM_NAME} STREQUAL "Darwin") AND ("${CMAKE_SYSTEM_PROCESSOR}" STREQUAL "arm64"))
message(STATUS "Running on macOS with Apple silicon")
string(APPEND CMAKE_CXX_FLAGS " -DAT_BUILD_ARM_VEC256_WITH_SLEEF")
add_definitions(-DAT_BUILD_ARM_VEC256_WITH_SLEEF)
endif()
# Enable sleef on Arm(R) architecture by default (except Android)
if((NOT ${CMAKE_SYSTEM_NAME} STREQUAL "Android")
AND("${CMAKE_SYSTEM_PROCESSOR}" MATCHES "aarch64"))
string(APPEND CMAKE_CXX_FLAGS " -DAT_BUILD_ARM_VEC256_WITH_SLEEF")
add_definitions(-DAT_BUILD_ARM_VEC256_WITH_SLEEF)
endif()
if(USE_XNNPACK)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_XNNPACK")
endif()
if(USE_VULKAN)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_VULKAN")
string(APPEND CMAKE_CXX_FLAGS " -DUSE_VULKAN_API")
if(USE_VULKAN_FP16_INFERENCE)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_VULKAN_FP16_INFERENCE")
endif()
if(USE_VULKAN_RELAXED_PRECISION)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_VULKAN_RELAXED_PRECISION")
endif()
endif()
if(BUILD_LITE_INTERPRETER)
string(APPEND CMAKE_CXX_FLAGS " -DBUILD_LITE_INTERPRETER")
endif()
if(TRACING_BASED)
string(APPEND CMAKE_CXX_FLAGS " -DTRACING_BASED")
endif()
if(USE_PYTORCH_METAL)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_PYTORCH_METAL")
endif()
if(USE_PYTORCH_METAL_EXPORT)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_PYTORCH_METAL_EXPORT")
endif()
if(USE_SOURCE_DEBUG_ON_MOBILE)
string(APPEND CMAKE_CXX_FLAGS " -DSYMBOLICATE_MOBILE_DEBUG_HANDLE")
endif()
if(BUILD_LITE_INTERPRETER AND USE_LITE_INTERPRETER_PROFILER)
string(APPEND CMAKE_CXX_FLAGS " -DEDGE_PROFILER_USE_KINETO")
endif()
if(USE_COREML_DELEGATE)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_COREML_DELEGATE")
endif()
# ---[ Allowlist file if allowlist is specified
include(cmake/Allowlist.cmake)
# ---[ Set link flag, handle additional deps for gcc 4.8 and above
if(CMAKE_COMPILER_IS_GNUCXX AND NOT ANDROID)
message(
STATUS
"GCC ${CMAKE_CXX_COMPILER_VERSION}: Adding gcc and gcc_s libs to link line"
)
list(APPEND Caffe2_DEPENDENCY_LIBS gcc_s gcc)
endif()
# ---[ Build flags Re-include to override append_cxx_flag_if_supported from
# third_party/FBGEMM
include(cmake/public/utils.cmake)
if(NOT MSVC)
string(APPEND CMAKE_CXX_FLAGS " -O2 -fPIC")
# Eigen fails to build with some versions, so convert this to a warning
# Details at http://eigen.tuxfamily.org/bz/show_bug.cgi?id=1459
string(APPEND CMAKE_CXX_FLAGS " -Wall")
string(APPEND CMAKE_CXX_FLAGS " -Wextra")
append_cxx_flag_if_supported("-Werror=return-type" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Werror=non-virtual-dtor" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Werror=braced-scalar-init" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Werror=range-loop-construct" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Werror=bool-operation" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wnarrowing" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-missing-field-initializers"
CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-type-limits" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-array-bounds" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-unknown-pragmas" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-unused-parameter" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-strict-overflow" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-strict-aliasing" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-stringop-overflow" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wvla-extension" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wsuggest-override" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wnewline-eof" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Winconsistent-missing-override"
CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Winconsistent-missing-destructor-override"
CMAKE_CXX_FLAGS)
if("${CMAKE_CXX_COMPILER_ID}" MATCHES "Clang")
string(APPEND CMAKE_CXX_FLAGS " -Wno-pass-failed")
endif()
if(CMAKE_COMPILER_IS_GNUCXX)
# Suppress "The ABI for passing parameters with 64-byte alignment has
# changed in GCC 4.6"
string(APPEND CMAKE_CXX_FLAGS " -Wno-psabi")
endif()
# Use ld.gold if available, fall back to ld.bfd (the default ld) if not
if(USE_GOLD_LINKER)
if(USE_DISTRIBUTED AND USE_MPI)
# Same issue as here with default MPI on Ubuntu
# https://bugs.launchpad.net/ubuntu/+source/deal.ii/+bug/1841577
message(WARNING "Refusing to use gold when USE_MPI=1")
else()
execute_process(
COMMAND "${CMAKE_C_COMPILER}" -fuse-ld=gold -Wl,--version
ERROR_QUIET
OUTPUT_VARIABLE LD_VERSION)
if(NOT "${LD_VERSION}" MATCHES "GNU gold")
message(
WARNING
"USE_GOLD_LINKER was set but ld.gold isn't available, turning it off"
)
set(USE_GOLD_LINKER OFF)
else()
message(STATUS "ld.gold is available, using it to link")
set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -fuse-ld=gold")
set(CMAKE_SHARED_LINKER_FLAGS
"${CMAKE_SHARED_LINKER_FLAGS} -fuse-ld=gold")
set(CMAKE_MODULE_LINKER_FLAGS
"${CMAKE_MODULE_LINKER_FLAGS} -fuse-ld=gold")
endif()
endif()
endif()
append_cxx_flag_if_supported("-Wno-error=old-style-cast" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wconstant-conversion" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-aligned-allocation-unavailable"
CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-missing-braces" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Qunused-arguments" CMAKE_CXX_FLAGS)
if(${USE_COLORIZE_OUTPUT})
# Why compiler checks are necessary even when `try_compile` is used Because
# of the bug in ccache that can incorrectly identify `-fcolor-diagnostics`
# As supported by GCC, see https://github.com/ccache/ccache/issues/740 (for
# older ccache) and https://github.com/ccache/ccache/issues/1275 (for newer
# ones)
if("${CMAKE_CXX_COMPILER_ID}" STREQUAL "GNU")
append_cxx_flag_if_supported("-fdiagnostics-color=always" CMAKE_CXX_FLAGS)
else()
append_cxx_flag_if_supported("-fcolor-diagnostics" CMAKE_CXX_FLAGS)
endif()
endif()
append_cxx_flag_if_supported("-faligned-new" CMAKE_CXX_FLAGS)
if(WERROR)
append_cxx_flag_if_supported("-Werror" CMAKE_CXX_FLAGS)
if(NOT COMPILER_SUPPORT_WERROR)
set(WERROR FALSE)
endif()
endif()
append_cxx_flag_if_supported("-Wno-unused-but-set-variable" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-maybe-uninitialized" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-fstandalone-debug" CMAKE_CXX_FLAGS_DEBUG)
if(CMAKE_SYSTEM_PROCESSOR MATCHES "aarch64" AND CMAKE_CXX_COMPILER_ID MATCHES "GNU")
if(CMAKE_BUILD_TYPE MATCHES Debug)
message(Warning "Applying -Og optimization for aarch64 GCC debug build to workaround ICE")
endif()
string(APPEND CMAKE_CXX_FLAGS_DEBUG " -fno-omit-frame-pointer -Og")
string(APPEND CMAKE_LINKER_FLAGS_DEBUG " -fno-omit-frame-pointer -Og")
else()
string(APPEND CMAKE_CXX_FLAGS_DEBUG " -fno-omit-frame-pointer -O0")
string(APPEND CMAKE_LINKER_FLAGS_DEBUG " -fno-omit-frame-pointer -O0")
endif()
append_cxx_flag_if_supported("-fno-math-errno" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-fno-trapping-math" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Werror=format" CMAKE_CXX_FLAGS)
if(CMAKE_COMPILER_IS_GNUCXX AND CMAKE_CXX_COMPILER_VERSION VERSION_GREATER_EQUAL 13)
append_cxx_flag_if_supported("-Wno-error=dangling-reference" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-error=redundant-move" CMAKE_CXX_FLAGS)
endif()
else()
# skip unwanted includes from windows.h
add_compile_definitions(WIN32_LEAN_AND_MEAN)
# Windows SDK broke compatibility since version 25131, but introduced this
# define for backward compatibility.
add_compile_definitions(_UCRT_LEGACY_INFINITY)
# disable min/max macros
add_compile_definitions(NOMINMAX)
# Turn off these warnings on Windows. destructor was implicitly defined as
# delete
append_cxx_flag_if_supported("/wd4624" CMAKE_CXX_FLAGS)
# unknown pragma
append_cxx_flag_if_supported("/wd4068" CMAKE_CXX_FLAGS)
# unexpected tokens following preprocessor directive - expected a newline
append_cxx_flag_if_supported("/wd4067" CMAKE_CXX_FLAGS)
# conversion from 'size_t' to 'unsigned int', possible loss of data
append_cxx_flag_if_supported("/wd4267" CMAKE_CXX_FLAGS)
# no suitable definition provided for explicit template instantiation request
append_cxx_flag_if_supported("/wd4661" CMAKE_CXX_FLAGS)
# recursive on all control paths, function will cause runtime stack overflow
append_cxx_flag_if_supported("/wd4717" CMAKE_CXX_FLAGS)
# conversion from '_Ty' to '_Ty', possible loss of data
append_cxx_flag_if_supported("/wd4244" CMAKE_CXX_FLAGS)
# unsafe use of type 'bool' in operation
append_cxx_flag_if_supported("/wd4804" CMAKE_CXX_FLAGS)
# inconsistent dll linkage
append_cxx_flag_if_supported("/wd4273" CMAKE_CXX_FLAGS)
endif()
if(CMAKE_SYSTEM_PROCESSOR MATCHES "aarch64")
include(CheckCSourceCompiles)
check_c_source_compiles(
"#include <arm_neon.h>
int main() {
float a[] = {1.0, 1.0};
float32x4x2_t v;
v.val[0] = vcombine_f32 (vcreate_f32 (0UL), vcreate_f32 (0UL));
v.val[1] = vcombine_f32 (vcreate_f32 (0UL), vcreate_f32 (0UL));
vst1q_f32_x2(a, v);
return 0;
}"
HAS_VST1)
if(NOT HAS_VST1)
string(APPEND CMAKE_CXX_FLAGS " -DMISSING_ARM_VST1")
endif()
endif()
if(CMAKE_SYSTEM_PROCESSOR MATCHES "aarch64")
include(CheckCSourceCompiles)
check_c_source_compiles(
"#include <arm_neon.h>
int main() {
float a[] = {1.0, 1.0};
vld1q_f32_x2(a);
return 0;
}"
HAS_VLD1)
if(NOT HAS_VLD1)
string(APPEND CMAKE_CXX_FLAGS " -DMISSING_ARM_VLD1")
endif()
endif()
# Add code coverage flags to supported compilers
if(USE_CPP_CODE_COVERAGE)
if("${CMAKE_CXX_COMPILER_ID}" STREQUAL "GNU")
string(APPEND CMAKE_C_FLAGS " --coverage -fprofile-abs-path")
string(APPEND CMAKE_CXX_FLAGS " --coverage -fprofile-abs-path")
elseif("${CMAKE_CXX_COMPILER_ID}" MATCHES "Clang")
string(APPEND CMAKE_C_FLAGS " -fprofile-instr-generate -fcoverage-mapping")
string(APPEND CMAKE_CXX_FLAGS
" -fprofile-instr-generate -fcoverage-mapping")
else()
message(
ERROR
"Code coverage for compiler ${CMAKE_CXX_COMPILER_ID} is unsupported")
endif()
endif()
if(APPLE)
if(USE_MPS)
string(APPEND CMAKE_OBJCXX_FLAGS " -DUSE_MPS -fno-objc-arc")
string(APPEND CMAKE_CXX_FLAGS " -DUSE_MPS")
string(
APPEND
CMAKE_SHARED_LINKER_FLAGS
" -weak_framework Foundation -weak_framework MetalPerformanceShaders -weak_framework MetalPerformanceShadersGraph -weak_framework Metal"
)
# To suppress MPSGraph availability warnings
append_cxx_flag_if_supported("-Wno-unguarded-availability-new"
CMAKE_OBJCXX_FLAGS)
endif()
append_cxx_flag_if_supported("-Wno-unused-private-field" CMAKE_CXX_FLAGS)
append_cxx_flag_if_supported("-Wno-missing-braces" CMAKE_CXX_FLAGS)
endif()
if(USE_XPU)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_XPU")
endif()
if(EMSCRIPTEN)
string(
APPEND
CMAKE_CXX_FLAGS
" -Wno-implicit-function-declaration -DEMSCRIPTEN -s DISABLE_EXCEPTION_CATCHING=0"
)
endif()
append_cxx_flag_if_supported("-Wno-stringop-overflow" CMAKE_CXX_FLAGS)
if(ANDROID AND (NOT ANDROID_DEBUG_SYMBOLS))
if(CMAKE_COMPILER_IS_GNUCXX)
string(APPEND CMAKE_CXX_FLAGS " -s")
elseif("${CMAKE_CXX_COMPILER_ID}" MATCHES "Clang")
string(APPEND CMAKE_CXX_FLAGS " -g0")
else()
string(APPEND 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/)
include_directories(BEFORE ${CMAKE_BINARY_DIR}/aten/src/)
if(USE_MIMALLOC)
set(MI_OVERRIDE OFF)
set(MI_BUILD_SHARED OFF)
set(MI_BUILD_OBJECT OFF)
set(MI_BUILD_TESTS OFF)
add_definitions(-DUSE_MIMALLOC)
add_subdirectory(third_party/mimalloc)
include_directories(third_party/mimalloc/include)
endif()
if(USE_MIMALLOC AND USE_MIMALLOC_ON_MKL)
add_definitions(-DUSE_MIMALLOC_ON_MKL)
endif()
# ---[ Main build
add_subdirectory(c10)
add_subdirectory(caffe2)
# ---[ 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
${CMAKE_CURRENT_BINARY_DIR}/cmake_uninstall.cmake)
endif()
# ---[ Make configuration files for cmake to allow dependent libraries easier
# access to Caffe2.
if((NOT USE_GLOG)
OR(NOT USE_GFLAGS)
OR BUILD_CUSTOM_PROTOBUF)
message(WARNING "Generated cmake files are only fully tested if one builds "
"with system glog, gflags, and protobuf. Other settings may "
"generate files that are not well tested.")
endif()
if(USE_CUDA OR USE_ROCM)
# TODO: check if we should include other cuda dependency libraries to the
# interface as well.
endif()
# Note(jiayq): when building static libraries, all PRIVATE dependencies will
# also become interface libraries, and as a result if there are any dependency
# libraries that are not exported, the following install export script will
# fail. As a result, we will only provide the targets cmake files for shared lib
# installation. For more info, read:
# https://cmake.org/pipermail/cmake/2016-May/063400.html
if(BUILD_SHARED_LIBS)
configure_file(${PROJECT_SOURCE_DIR}/cmake/Caffe2Config.cmake.in
${PROJECT_BINARY_DIR}/Caffe2Config.cmake @ONLY)
install(
FILES ${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/xpu.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/mkldnn.cmake
${PROJECT_SOURCE_DIR}/cmake/public/protobuf.cmake
${PROJECT_SOURCE_DIR}/cmake/public/utils.cmake
${PROJECT_SOURCE_DIR}/cmake/public/LoadHIP.cmake
DESTINATION share/cmake/Caffe2/public
COMPONENT dev)
install(
DIRECTORY ${PROJECT_SOURCE_DIR}/cmake/Modules_CUDA_fix
DESTINATION share/cmake/Caffe2/
COMPONENT dev)
install(
FILES ${PROJECT_SOURCE_DIR}/cmake/Modules/FindCUDAToolkit.cmake
DESTINATION share/cmake/Caffe2/
COMPONENT dev)
install(
FILES ${PROJECT_SOURCE_DIR}/cmake/Modules/FindCUSPARSELT.cmake
DESTINATION share/cmake/Caffe2/
COMPONENT dev)
install(
FILES ${PROJECT_SOURCE_DIR}/cmake/Modules/FindCUDSS.cmake
DESTINATION share/cmake/Caffe2/
COMPONENT dev)
install(
FILES ${PROJECT_SOURCE_DIR}/cmake/Modules/FindSYCLToolkit.cmake
DESTINATION share/cmake/Caffe2/
COMPONENT dev)
if(NOT BUILD_LIBTORCHLESS)
install(
EXPORT Caffe2Targets
DESTINATION share/cmake/Caffe2
FILE Caffe2Targets.cmake
COMPONENT dev)
endif()
else()
message(WARNING "Generated cmake files are only available when building "
"shared libs.")
endif()
# ---[ Binaries Binaries will be built after the Caffe2 main libraries and the
# modules are built. For the binaries, they will be linked to the Caffe2 main
# libraries, as well as all the modules that are built with Caffe2 (the ones
# built in the previous Modules section above).
if(BUILD_BINARY)
add_subdirectory(binaries)
endif()
# ---[ JNI
if(BUILD_JNI)
if(NOT MSVC)
string(APPEND CMAKE_CXX_FLAGS " -Wno-unused-variable")
endif()
set(BUILD_LIBTORCH_WITH_JNI 1)
set(FBJNI_SKIP_TESTS 1)
add_subdirectory(android/pytorch_android)
endif()
include(cmake/Summary.cmake)
caffe2_print_configuration_summary()
if(BUILD_FUNCTORCH)
add_subdirectory(functorch)
endif()
# Parse custom debug info
if(DEFINED USE_CUSTOM_DEBINFO)
string(REPLACE ";" " " SOURCE_FILES "${USE_CUSTOM_DEBINFO}")
message(STATUS "Source files with custom debug infos: ${SOURCE_FILES}")
string(REGEX REPLACE " +" ";" SOURCE_FILES_LIST "${SOURCE_FILES}")
# Set the COMPILE_FLAGS property for each source file
foreach(SOURCE_FILE ${SOURCE_FILES_LIST})
# We have to specify the scope here. We do this by specifying the targets we
# care about and caffe2/ for all test targets defined there
if(BUILD_LIBTORCHLESS)
caffe2_update_option(USE_CUDA OFF)
set(ALL_PT_TARGETS "torch_python;${C10_LIB};${TORCH_CPU_LIB};${TORCH_LIB}")
else()
# @todo test if we can remove this
set(ALL_PT_TARGETS "torch_python;c10;torch_cpu;torch")
endif()
set_source_files_properties(
${SOURCE_FILE} DIRECTORY "caffe2/" TARGET_DIRECTORY ${ALL_PT_TARGETS}
PROPERTIES COMPILE_FLAGS "-g")
endforeach()
# Link everything with debug info when any file is in debug mode
set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -g")
set(CMAKE_SHARED_LINKER_FLAGS "${CMAKE_SHARED_LINKER_FLAGS} -g")
endif()
# Bundle PTXAS if needed
if(BUILD_BUNDLE_PTXAS AND USE_CUDA)
if(NOT EXISTS "${PROJECT_SOURCE_DIR}/build/bin/ptxas")
message(STATUS "Copying PTXAS into the bin folder")
file(COPY "${CUDAToolkit_BIN_DIR}/ptxas"
DESTINATION "${PROJECT_BINARY_DIR}")
endif()
install(PROGRAMS "${PROJECT_BINARY_DIR}/ptxas"
DESTINATION "${CMAKE_INSTALL_BINDIR}")
endif()