forked from pytorch/pytorch
-
Notifications
You must be signed in to change notification settings - Fork 0
/
CMakeLists.txt
1382 lines (1250 loc) · 51.8 KB
/
CMakeLists.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
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)
# Suppress warning flags in default MSVC configuration. It's not mandatory that
# 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
"The C standard whose features are requested to build this target.")
# ---[ 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
"GCC-9.3 or newer is required to compile PyTorch, but found ${CMAKE_CXX_COMPILER_VERSION}"
)
endif()
# This define is needed to preserve behavior given anticpated changes to
# cccl/thrust
# https://nvidia.github.io/libcudacxx/standard_api/numerics_library/complex.html
string(APPEND CMAKE_CUDA_FLAGS
" -DLIBCUDACXX_ENABLE_SIMPLIFIED_COMPLEX_OPERATIONS")
if(LINUX)
include(cmake/CheckAbi.cmake)
string(APPEND CMAKE_CXX_FLAGS
" -D_GLIBCXX_USE_CXX11_ABI=${GLIBCXX_USE_CXX11_ABI}")
string(APPEND CMAKE_CUDA_FLAGS
" -D_GLIBCXX_USE_CXX11_ABI=${GLIBCXX_USE_CXX11_ABI}")
if(${GLIBCXX_USE_CXX11_ABI} EQUAL 1)
set(CXX_STANDARD_REQUIRED ON)
else()
# 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
# compiled by the same toolchain again
append_cxx_flag_if_supported("-fabi-version=11" CMAKE_CXX_FLAGS)
endif()
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
# CAFFE2_CMAKE_BUILDING_WITH_MAIN_REPO) find_package(Caffe2 REQUIRED) endif()
set(CAFFE2_CMAKE_BUILDING_WITH_MAIN_REPO ON)
# Googletest's cmake files are going to set it on once they are processed. Let's
# set it at the very beginning so that the entire build is deterministic.
set(THREADS_PREFER_PTHREAD_FLAG 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 (.*) version ([0-9]+\\.[0-9]+).*" "\\2"
CLANG_VERSION_STRING ${clang_full_version_string})
message(STATUS "CLANG_VERSION_STRING: " ${CLANG_VERSION_STRING})
# RPATH stuff
set(CMAKE_MACOSX_RPATH ON)
if(NOT IOS)
# Determine if we can link against MPSGraph
set(MPS_FOUND OFF)
execute_process(
COMMAND bash -c "xcrun --sdk macosx --show-sdk-version"
RESULT_VARIABLE _exit_code
OUTPUT_VARIABLE _macosx_sdk_version
OUTPUT_STRIP_TRAILING_WHITESPACE)
if(_exit_code EQUAL 0)
set(_MPS_supported_os_version OFF)
if(_macosx_sdk_version VERSION_GREATER_EQUAL 12.3)
set(_MPS_supported_os_version ON)
endif()
message(
STATUS
"sdk version: ${_macosx_sdk_version}, mps supported: ${_MPS_supported_os_version}"
)
execute_process(
COMMAND bash -c "xcrun --sdk macosx --show-sdk-path"
OUTPUT_VARIABLE _macosx_sdk_path
OUTPUT_STRIP_TRAILING_WHITESPACE)
set(_SDK_SEARCH_PATH "${_macosx_sdk_path}/System/Library/Frameworks/")
set(_FRAMEWORK_SEARCH_PATH "/System/Library/Frameworks/")
find_library(
_MPS_fwrk_path_
NAMES MetalPerformanceShadersGraph MetalPerformanceShaders
PATHS ${_FRAMEWORK_SEARCH_PATH}
NO_DEFAULT_PATH)
find_library(
_MPS_sdk_path_
NAMES MetalPerformanceShadersGraph MetalPerformanceShaders
PATHS ${_SDK_SEARCH_PATH}
NO_DEFAULT_PATH)
if(_MPS_supported_os_version
AND _MPS_fwrk_path_
AND _MPS_sdk_path_)
set(MPS_FOUND ON)
message(STATUS "MPSGraph framework found")
else()
message(STATUS "MPSGraph framework not found")
endif()
else()
message(STATUS "MPS: unable to get MacOS sdk version")
message(STATUS "MPSGraph framework not found")
endif()
endif()
endif()
set(CPU_AARCH64 OFF)
set(CPU_INTEL OFF)
if(CMAKE_SYSTEM_PROCESSOR MATCHES "(AMD64|x86_64)")
set(CPU_INTEL ON)
elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "^(aarch64|arm64)")
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
OFF
CACHE STRING "Use distributed")
# On macOS, if USE_DISTRIBUTED is enabled (specified by the user), then make
# Gloo build with the libuv transport.
if(APPLE AND USE_DISTRIBUTED)
set(USE_LIBUV
ON
CACHE STRING "")
endif()
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)
option(ATEN_NO_TEST "Do not build ATen test binaries" OFF)
option(BUILD_BINARY "Build C++ binaries" 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_LITE_INTERPRETER "Master flag to build Lite Interpreter" OFF)
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)
option(BUILD_AOT_INDUCTOR_TEST "Build C++ test binaries for aot-inductor" OFF)
option(BUILD_STATIC_RUNTIME_BENCHMARK
"Build C++ binaries for static runtime benchmarks (need gbenchmark)" OFF)
option(
BUILD_MOBILE_BENCHMARK
"Build C++ test binaries for mobile (ARM) targets(need gtest and gbenchmark)"
OFF)
option(
BUILD_MOBILE_TEST
"Build C++ test binaries for mobile (ARM) targets(need gtest and gbenchmark)"
OFF)
option(BUILD_JNI "Build JNI bindings" OFF)
option(BUILD_MOBILE_AUTOGRAD
"Build autograd function in mobile build (in development)" OFF)
cmake_dependent_option(INSTALL_TEST "Install test binaries if BUILD_TEST is on"
ON "BUILD_TEST" OFF)
option(USE_CPP_CODE_COVERAGE "Compile C/C++ with code coverage flags" OFF)
option(USE_COLORIZE_OUTPUT "Colorize output during compilation" ON)
option(USE_ASAN "Use Address+Undefined Sanitizers" OFF)
option(USE_TSAN "Use Thread Sanitizer" OFF)
option(USE_CUDA "Use CUDA" ON)
option(USE_XPU "Use XPU" ON)
cmake_dependent_option(
BUILD_LAZY_CUDA_LINALG "Build cuda linalg ops as separate library" ON
"USE_CUDA AND LINUX AND BUILD_PYTHON" OFF)
cmake_dependent_option(USE_ROCM "Use ROCm" ON "LINUX" OFF)
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
"USE_CUDNN" OFF)
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.
# USE_ROCM is guarded against in Dependencies.cmake because USE_ROCM is not properly defined here
if(DEFINED ENV{TH_BINARY_BUILD})
cmake_dependent_option(USE_CUFILE "Use cuFile" OFF
"USE_CUDA AND NOT $ENV{TH_BINARY_BUILD} AND NOT WIN32" OFF)
else()
cmake_dependent_option(USE_CUFILE "Use cuFile" OFF "USE_CUDA AND NOT WIN32" OFF)
endif()
option(USE_FBGEMM "Use FBGEMM (quantized 8-bit server operators)" 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
"USE_CUDA OR USE_ROCM;UNIX;NOT APPLE" OFF)
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"
OFF)
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_OPENMP "Use OpenMP for parallel code" ON)
option(USE_PRECOMPILED_HEADERS "Use pre-compiled headers to accelerate build."
OFF)
option(USE_PROF "Use profiling" OFF)
option(USE_PYTORCH_QNNPACK "Use ATen/QNNPACK (quantized 8-bit operators)" ON)
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)
cmake_dependent_option(
USE_VALGRIND "Use Valgrind. Only available on Linux." ON
"LINUX" OFF)
if(NOT DEFINED USE_VULKAN)
cmake_dependent_option(USE_VULKAN "Use Vulkan GPU backend" ON "ANDROID" OFF)
endif()
option(USE_SLEEF_FOR_ARM_VEC256 "Use sleef for arm" OFF)
option(USE_SOURCE_DEBUG_ON_MOBILE "Enable" ON)
option(USE_LITE_INTERPRETER_PROFILER "Enable" ON)
cmake_dependent_option(
USE_LITE_AOTI "Include AOTI sources" OFF
"BUILD_LITE_INTERPRETER" OFF)
option(USE_VULKAN_FP16_INFERENCE "Vulkan - Use fp16 inference" OFF)
option(USE_VULKAN_RELAXED_PRECISION
"Vulkan - Use relaxed precision math in the kernels (mediump)" OFF)
# 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
"USE_MKLDNN AND CPU_AARCH64" OFF)
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_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" 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
"Enable RelWithDebInfo for libtorch_cpu target only" OFF)
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
"NOT INTERN_BUILD_MOBILE" OFF)
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.
if(WIN32)
set(USE_MIMALLOC 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_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()
endif()
# Used when building Caffe2 through setup.py
option(BUILDING_WITH_TORCH_LIBS
"Tell cmake if Caffe2 is being built alongside torch libs" ON)
# /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)
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_PYTORCH_QNNPACK)
string(APPEND CMAKE_CXX_FLAGS " -DUSE_PYTORCH_QNNPACK")
endif()
if(USE_SLEEF_FOR_ARM_VEC256)
string(APPEND CMAKE_CXX_FLAGS " -DAT_BUILD_ARM_VEC256_WITH_SLEEF")
add_definitions(-DAT_BUILD_ARM_VEC256_WITH_SLEEF)
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()
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)