-
Notifications
You must be signed in to change notification settings - Fork 2.9k
/
CMakeLists.txt
1847 lines (1614 loc) · 83.3 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
# Copyright (c) Microsoft Corporation. All rights reserved.
# SPDX-FileCopyrightText: Copyright 2024 Arm Limited and/or its affiliates <open-source-office@arm.com>
# Licensed under the MIT License.
# Minimum CMake required
cmake_minimum_required(VERSION 3.26)
cmake_policy(SET CMP0069 NEW)
set(CMAKE_POLICY_DEFAULT_CMP0069 NEW)
cmake_policy(SET CMP0092 NEW)
cmake_policy(SET CMP0091 NEW)
cmake_policy(SET CMP0117 NEW)
# Don't let cmake set a default value for CMAKE_CUDA_ARCHITECTURES
cmake_policy(SET CMP0104 OLD)
# Enable Hot Reload for MSVC compilers if supported.
cmake_policy(SET CMP0141 NEW)
# Project
project(onnxruntime C CXX ASM)
# Disable fast-math for Intel oneAPI compiler
if("${CMAKE_CXX_COMPILER_ID}" MATCHES "IntelLLVM")
if("${CMAKE_CXX_COMPILER_ID}" MATCHES "MSVC-like")
# Using icx-cl compiler driver with MSVC-like arguments
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /fp:precise")
else()
# Using icpx compiler driver
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fno-fast-math")
endif()
endif()
# Needed for Java
set(CMAKE_C_STANDARD 99)
include(CheckCXXCompilerFlag)
include(CheckLanguage)
include(CMakeDependentOption)
include(FetchContent)
include(CheckFunctionExists)
include(GNUInstallDirs) # onnxruntime_providers_* require CMAKE_INSTALL_* variables
# TODO: update this once all system adapt c++20
if(CMAKE_SYSTEM_NAME STREQUAL "Darwin")
set(CMAKE_CXX_STANDARD 20)
else()
set(CMAKE_CXX_STANDARD 17)
endif()
if (MSVC)
# Make sure Visual Studio sets __cplusplus macro correctly: https://learn.microsoft.com/en-us/cpp/build/reference/zc-cplusplus
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /Zc:__cplusplus")
endif()
set_property(GLOBAL PROPERTY USE_FOLDERS ON)
# NOTE: POSITION INDEPENDENT CODE hurts performance, and it only make sense on POSIX systems
set(CMAKE_POSITION_INDEPENDENT_CODE ON)
# Enable CTest
enable_testing()
include(Dart)
if (NOT CMAKE_BUILD_TYPE)
message(STATUS "Build type not set - using RelWithDebInfo")
set(CMAKE_BUILD_TYPE "RelWithDebInfo" CACHE STRING "Choose build type: Debug Release RelWithDebInfo MinSizeRel." FORCE)
endif()
if("${CMAKE_C_COMPILER_ID}" STREQUAL "GNU" AND CMAKE_C_COMPILER_VERSION VERSION_LESS 9)
message(FATAL_ERROR "GCC version must be greater than or equal to 9")
endif()
# Options
option(onnxruntime_USE_VCPKG "Build with the vcpkg package manager" OFF)
option(onnxruntime_RUN_ONNX_TESTS "Enable ONNX Compatibility Testing" OFF)
option(onnxruntime_GENERATE_TEST_REPORTS "Enable test report generation" OFF)
option(onnxruntime_ENABLE_STATIC_ANALYSIS "Enable static analysis" OFF)
option(onnxruntime_USE_CUSTOM_STATIC_ANALYSIS_RULES "Use a custom SDL Rule. It is mainly for our CI build" OFF)
option(onnxruntime_REDIRECT_STATIC_ANALYSIS_OUTPUTS_TO_FILE "Use a custom SDL Rule. It is mainly for our CI build" OFF)
option(onnxruntime_ENABLE_PYTHON "Enable python buildings" OFF)
# Enable it may cause LNK1169 error
option(onnxruntime_ENABLE_MEMLEAK_CHECKER "Experimental: Enable memory leak checker in Windows debug build" OFF)
option(onnxruntime_USE_CUDA "Build with CUDA support" OFF)
# Enable ONNX Runtime CUDA EP's internal unit tests that directly access the EP's internal functions instead of through
# OpKernels. When the option is ON, we will have two copies of GTest library in the same process. It is not a typical
# use. If you hit any problem with that, please do not report it to GTest. Turn OFF the following build option instead.
cmake_dependent_option(onnxruntime_ENABLE_CUDA_EP_INTERNAL_TESTS "Build with CUDA unit tests" OFF "onnxruntime_USE_CUDA;onnxruntime_BUILD_UNIT_TESTS" OFF)
option(onnxruntime_USE_CUDA_NHWC_OPS "Build CUDA with NHWC op support" OFF)
option(onnxruntime_CUDA_MINIMAL "Build CUDA without any operations apart from memcpy ops. Usefuel for a very minial TRT build" OFF)
option(onnxruntime_ENABLE_CUDA_LINE_NUMBER_INFO "When building with CUDA support, generate device code line number information." OFF)
option(onnxruntime_USE_OPENVINO "Build with OpenVINO support" OFF)
option(onnxruntime_USE_COREML "Build with CoreML support" OFF)
option(onnxruntime_USE_NNAPI_BUILTIN "Build with builtin NNAPI lib for Android NNAPI support" OFF)
option(onnxruntime_USE_QNN "Build with QNN support" OFF)
option(onnxruntime_USE_SNPE "Build with SNPE support" OFF)
option(onnxruntime_USE_RKNPU "Build with RKNPU support" OFF)
option(onnxruntime_USE_DNNL "Build with DNNL support" OFF)
option(onnxruntime_USE_JSEP "Build with JavaScript implemented kernels support" OFF)
option(onnxruntime_BUILD_UNIT_TESTS "Build ONNXRuntime unit tests" ON)
option(onnxruntime_BUILD_CSHARP "Build C# library" OFF)
option(onnxruntime_BUILD_OBJC "Build Objective-C library" OFF)
option(onnxruntime_USE_PREINSTALLED_EIGEN "Use pre-installed EIGEN. Need to provide eigen_SOURCE_PATH if turn this on." OFF)
option(onnxruntime_BUILD_BENCHMARKS "Build ONNXRuntime micro-benchmarks" OFF)
option(onnxruntime_USE_LLVM "Build TVM with LLVM" OFF)
option(onnxruntime_USE_VSINPU "Build with VSINPU support" OFF)
cmake_dependent_option(onnxruntime_USE_FLASH_ATTENTION "Build flash attention kernel for scaled dot product attention" ON "onnxruntime_USE_CUDA" OFF)
option(onnxruntime_USE_MEMORY_EFFICIENT_ATTENTION "Build memory efficient attention kernel for scaled dot product attention" ON)
option(onnxruntime_BUILD_FOR_NATIVE_MACHINE "Enable this option for turning on optimization specific to this machine" OFF)
option(onnxruntime_USE_AVX "Use AVX instructions" OFF)
option(onnxruntime_USE_AVX2 "Use AVX2 instructions" OFF)
option(onnxruntime_USE_AVX512 "Use AVX512 instructions" OFF)
option(onnxruntime_BUILD_SHARED_LIB "Build a shared library" OFF)
option(onnxruntime_BUILD_APPLE_FRAMEWORK "Build a macOS/iOS framework" OFF)
option(onnxruntime_ENABLE_MICROSOFT_INTERNAL "Use this option to enable/disable microsoft internal only code" OFF)
option(onnxruntime_USE_VITISAI "Build with Vitis-AI" OFF)
option(onnxruntime_USE_TENSORRT "Build with TensorRT support" OFF)
option(onnxruntime_USE_TENSORRT_BUILTIN_PARSER "Use TensorRT builtin parser" OFF)
option(onnxruntime_ENABLE_LTO "Enable link time optimization" OFF)
option(onnxruntime_CROSS_COMPILING "Cross compiling onnx runtime" OFF)
option(onnxruntime_GCOV_COVERAGE "Compile with options necessary to run code coverage" OFF)
option(onnxruntime_DONT_VECTORIZE "Do not vectorize operations in Eigen" OFF)
option(onnxruntime_USE_FULL_PROTOBUF "Link to libprotobuf instead of libprotobuf-lite when this option is ON" OFF)
option(onnxruntime_DEBUG_NODE_INPUTS_OUTPUTS "Dump debug information about node inputs and outputs when executing the model." OFF)
cmake_dependent_option(onnxruntime_DEBUG_NODE_INPUTS_OUTPUTS_ENABLE_DUMP_TO_SQLDB "Build dump debug information about node inputs and outputs with support for sql database." OFF "onnxruntime_DEBUG_NODE_INPUTS_OUTPUTS" OFF)
option(onnxruntime_USE_DML "Build with DirectML support" OFF)
option(onnxruntime_USE_MIGRAPHX "Build with AMDMIGraphX support" OFF)
option(onnxruntime_USE_WINML "Build with WinML support" OFF)
option(onnxruntime_USE_ACL "Build with ACL support" OFF)
option(onnxruntime_USE_ARMNN "Build with ArmNN support" OFF)
option(onnxruntime_ARMNN_RELU_USE_CPU "Use the CPU implementation for the Relu operator for the ArmNN EP" ON)
option(onnxruntime_ARMNN_BN_USE_CPU "Use the CPU implementation for the Batch Normalization operator for the ArmNN EP" ON)
option(onnxruntime_ENABLE_INSTRUMENT "Enable Instrument with Event Tracing for Windows (ETW)" OFF)
option(onnxruntime_USE_TELEMETRY "Build with Telemetry" OFF)
cmake_dependent_option(onnxruntime_USE_MIMALLOC "Override new/delete and arena allocator with mimalloc" OFF "WIN32;NOT onnxruntime_USE_CUDA;NOT onnxruntime_USE_OPENVINO" OFF)
option(onnxruntime_USE_CANN "Build with CANN support" OFF)
option(onnxruntime_USE_ROCM "Build with AMD GPU support" OFF)
option(onnxruntime_USE_TVM "Build with TVM support" OFF)
option(onnxruntime_TVM_CUDA_RUNTIME "Build TVM with CUDA support" OFF)
option(onnxruntime_TVM_USE_LLVM "Build TVM with LLVM. Set customized path to llvm-config.exe here if need" OFF)
option(onnxruntime_TVM_USE_HASH "Build ipp-crypto library for support hash algorithm. It is defined for TVM only")
option(onnxruntime_USE_XNNPACK "Build with XNNPACK support. Provides an alternative math library on ARM, WebAssembly and x86." OFF)
option(onnxruntime_USE_WEBNN "Build with WebNN support. Enable hardware acceleration in web browsers." OFF)
option(onnxruntime_USE_WEBGPU "Build with WebGPU support. Enable WebGPU via C/C++ interface." OFF)
# Options related to reducing the binary size produced by the build
# XNNPACK EP requires the internal NHWC contrib ops to be available, so this option must be OFF when onnxruntime_USE_XNNPACK is ON
cmake_dependent_option(onnxruntime_DISABLE_CONTRIB_OPS "Disable contrib ops" OFF "NOT onnxruntime_USE_XNNPACK" OFF)
option(onnxruntime_DISABLE_ML_OPS "Disable traditional ML ops" OFF)
option(onnxruntime_DISABLE_SPARSE_TENSORS "Disable sparse tensors data types" OFF)
option(onnxruntime_DISABLE_OPTIONAL_TYPE "Disable optional type" OFF)
option(onnxruntime_DISABLE_FLOAT8_TYPES "Disable float 8 types" OFF)
option(onnxruntime_MINIMAL_BUILD "Exclude as much as possible from the build. Support ORT format models. No support for ONNX format models." OFF)
cmake_dependent_option(onnxruntime_DISABLE_RTTI "Disable RTTI" ON "NOT onnxruntime_ENABLE_PYTHON;NOT onnxruntime_USE_CUDA" OFF)
# For now onnxruntime_DISABLE_EXCEPTIONS will only work with onnxruntime_MINIMAL_BUILD, more changes (ONNX, non-CPU EP, ...) are required to run this standalone
cmake_dependent_option(onnxruntime_DISABLE_EXCEPTIONS "Disable exception handling. Requires onnxruntime_MINIMAL_BUILD currently." ON "onnxruntime_MINIMAL_BUILD;NOT onnxruntime_ENABLE_PYTHON" OFF)
# Even when onnxruntime_DISABLE_ABSEIL is ON, ONNX Runtime still needs to link to abseil.
option(onnxruntime_DISABLE_ABSEIL "Do not use Abseil data structures in ONNX Runtime source code. Redefine Inlined containers to STD containers." OFF)
option(onnxruntime_EXTENDED_MINIMAL_BUILD "onnxruntime_MINIMAL_BUILD with support for execution providers that compile kernels." OFF)
option(onnxruntime_MINIMAL_BUILD_CUSTOM_OPS "Add custom operator kernels support to a minimal build." OFF)
option(onnxruntime_REDUCED_OPS_BUILD "Reduced set of kernels are registered in build via modification of the kernel registration source files." OFF)
option(onnxruntime_DISABLE_EXTERNAL_INITIALIZERS "Don't allow models to load external data" OFF)
#A special option just for debugging and sanitize check. Please do not enable in option in retail builds.
#The option has no effect on Windows.
option(onnxruntime_USE_VALGRIND "Build with valgrind hacks" OFF)
# A special build option only used for gathering code coverage info
option(onnxruntime_RUN_MODELTEST_IN_DEBUG_MODE "Run model tests even in debug mode" OFF)
# options for security fuzzing
# build configuration for fuzz testing is in onnxruntime_fuzz_test.cmake
option(onnxruntime_FUZZ_TEST "Enable Fuzz testing" OFF)
# training options
option(onnxruntime_ENABLE_NVTX_PROFILE "Enable NVTX profile." OFF)
option(onnxruntime_ENABLE_MEMORY_PROFILE "Enable memory profile." OFF)
option(onnxruntime_ENABLE_TRAINING "Enable full training functionality. Includes ORTModule and ORT Training APIs" OFF)
option(onnxruntime_ENABLE_TRAINING_APIS "Enable ort training apis." OFF)
option(onnxruntime_ENABLE_TRAINING_OPS "Include training operators but no training session support." OFF)
option(onnxruntime_ENABLE_TRAINING_E2E_TESTS "Enable training end-to-end tests." OFF)
option(onnxruntime_ENABLE_CPU_FP16_OPS "Build with advanced instruction sets" ON)
option(onnxruntime_USE_NCCL "Build with NCCL support" OFF)
option(onnxruntime_USE_MPI "Build with MPI support" OFF)
# WebAssembly options
option(onnxruntime_BUILD_WEBASSEMBLY_STATIC_LIB "Enable this option to create WebAssembly static library" OFF)
option(onnxruntime_ENABLE_WEBASSEMBLY_THREADS "Enable this option to create WebAssembly byte codes with multi-threads support" OFF)
option(onnxruntime_ENABLE_WEBASSEMBLY_EXCEPTION_CATCHING "Enable this option to turn on exception catching" OFF)
option(onnxruntime_ENABLE_WEBASSEMBLY_API_EXCEPTION_CATCHING "Enable this option to turn on api exception catching" OFF)
option(onnxruntime_ENABLE_WEBASSEMBLY_EXCEPTION_THROWING "Enable this option to turn on exception throwing even if the build disabled exceptions support" OFF)
option(onnxruntime_WEBASSEMBLY_RUN_TESTS_IN_BROWSER "Enable this option to run tests in browser instead of Node.js" OFF)
option(onnxruntime_ENABLE_WEBASSEMBLY_DEBUG_INFO "Enable this option to turn on DWARF format debug info" OFF)
option(onnxruntime_ENABLE_WEBASSEMBLY_PROFILING "Enable this option to turn on WebAssembly profiling and preserve function names" OFF)
option(onnxruntime_ENABLE_WEBASSEMBLY_OUTPUT_OPTIMIZED_MODEL "Enable this option to allow WebAssembly to output optimized model" OFF)
# Enable bitcode for iOS
option(onnxruntime_ENABLE_BITCODE "Enable bitcode for iOS only" OFF)
# build Pytorch's LazyTensor support
cmake_dependent_option(onnxruntime_ENABLE_LAZY_TENSOR "Enable ORT as a LazyTensor backend in Pytorch." ON "onnxruntime_ENABLE_TRAINING" OFF)
# build separate library of schemas of (custom) ops used by ORT (for ONNX to MLIR translation)
option(onnxruntime_BUILD_OPSCHEMA_LIB "Build op schema library" ON)
# option to enable custom operators in onnxruntime-extensions
option(onnxruntime_USE_EXTENSIONS "Build with onnxruntime-extensions for more features" OFF)
# option to enable custom operators in onnxruntime-extensions with a custom path
option(onnxruntime_EXTENSIONS_OVERRIDDEN, "Enable onnxruntime-extensions overridden" OFF)
# Enable registering custom op schemas from shared libraries in python environment.
option(onnxruntime_ENABLE_EXTERNAL_CUSTOM_OP_SCHEMAS "Enable registering user defined custom op schemas dynamically" OFF)
set(ONNX_CUSTOM_PROTOC_EXECUTABLE "" CACHE STRING "Specify custom protoc executable to build ONNX")
# pre-build python path
option(onnxruntime_PREBUILT_PYTORCH_PATH "Path to pytorch installation dir")
# external transformer src path
option(onnxruntime_EXTERNAL_TRANSFORMER_SRC_PATH "Path to external transformer src dir")
option(onnxruntime_ENABLE_CUDA_PROFILING "Enable CUDA kernel profiling" OFF)
option(onnxruntime_ENABLE_ROCM_PROFILING "Enable ROCM kernel profiling" OFF)
option(onnxruntime_ENABLE_CPUINFO "Enable cpuinfo" ON)
# ATen fallback support
option(onnxruntime_ENABLE_ATEN "Enable ATen fallback" OFF)
# Triton support
option(onnxruntime_ENABLE_TRITON "Enable Triton" OFF)
# composable kernel is managed automatically, unless user want to explicitly disable it, it should not be manually set
option(onnxruntime_USE_COMPOSABLE_KERNEL "Enable composable kernel for ROCm EP" ON)
cmake_dependent_option(onnxruntime_USE_COMPOSABLE_KERNEL_CK_TILE "Enable ck_tile for composable kernel" ON "onnxruntime_USE_COMPOSABLE_KERNEL" OFF)
option(onnxruntime_USE_ROCBLAS_EXTENSION_API "Enable rocblas tuning for ROCm EP" OFF)
option(onnxruntime_USE_TRITON_KERNEL "Enable triton compiled kernel" OFF)
option(onnxruntime_BUILD_KERNEL_EXPLORER "Build Kernel Explorer for testing and profiling GPU kernels" OFF)
option(onnxruntime_BUILD_CACHE "onnxruntime build with cache" OFF)
# https://zeux.io/2010/11/22/z7-everything-old-is-new-again/
cmake_dependent_option(MSVC_Z7_OVERRIDE "replacing /Zi and /ZI with /Z7 when using MSVC with CCache" ON "onnxruntime_BUILD_CACHE; MSVC" OFF)
option(onnxruntime_USE_AZURE "Build with azure inferencing support" OFF)
option(onnxruntime_USE_LOCK_FREE_QUEUE "Build with lock-free task queue for threadpool." OFF)
# ENABLE_TRAINING includes all training functionality
# The following 2 entry points
# 1. ORTModule
# 2. ORT Training APIs
# It includes all the feature additions as well like
# 1. Python OP
# 2. Aten Fallback
# 3. Strided Tensors
# 4. All training ops including communication and collectives ops
# 5. ONNXBlock (Front end for training preparation when using training apis)
# Some features are only enabled when onnxruntime_ENABLE_PYTHON is ON as they are only relevant
# when using python env
if (onnxruntime_ENABLE_TRAINING)
set(onnxruntime_ENABLE_TRAINING_APIS ON)
set(onnxruntime_ENABLE_TRAINING_OPS ON)
set(onnxruntime_ENABLE_ATEN ON)
set(onnxruntime_ENABLE_TRITON ON)
if (NOT APPLE)
set(onnxruntime_ENABLE_TRAINING_TORCH_INTEROP ON)
endif()
endif()
if (onnxruntime_ENABLE_TRAINING_APIS)
set(onnxruntime_ENABLE_TRAINING_OPS ON)
if (onnxruntime_ENABLE_PYTHON AND NOT onnxruntime_ENABLE_TRAINING)
message(FATAL_ERROR "Standalone On-Device Training build is not supported with Python bindings! "
"Please use the --enable_training flag instead of the --enable_training_apis flag.")
endif()
endif()
if (onnxruntime_USE_ROCM)
if (WIN32)
message(FATAL_ERROR "ROCM does not support build in Windows!")
endif()
if (onnxruntime_USE_CUDA)
message(FATAL_ERROR "ROCM does not support build with CUDA!")
endif()
if (NOT CMAKE_HIP_COMPILER)
set(CMAKE_HIP_COMPILER "${onnxruntime_ROCM_HOME}/llvm/bin/clang++")
endif()
if (NOT CMAKE_HIP_ARCHITECTURES)
set(CMAKE_HIP_ARCHITECTURES "gfx906;gfx908;gfx90a;gfx1030;gfx1100;gfx1101")
endif()
file(GLOB rocm_cmake_components ${onnxruntime_ROCM_HOME}/lib/cmake/*)
list(APPEND CMAKE_PREFIX_PATH ${rocm_cmake_components})
# Force cmake to accept the configured HIP compiler. Because the configured CMAKE_PREFIX_PATH does not work during
# enable_language(HIP), we might need to move configuring of CMAKE_PREFIX_PATH to build.py (in the future).
set(CMAKE_HIP_COMPILER_FORCED ON)
enable_language(HIP)
# NOTE: Flags -mllvm -amdgpu-early-inline-all=true are critical for gpu kernel code performance. -mllvm passes the
# next flag to underlying LLVM instead of clang and -amdgpu-early-inline-all=true is the optimization flag for LLVM.
# With CMake's enable_language(HIP), additional flags including the proceeding one are propagated from
# hip-lang::device library. But in some weird cases, the hip-lang::device target may not be properly configured, for
# example, the CMAKE_PREFIX_PATH might be improperly configured.
if(NOT DEFINED _CMAKE_HIP_DEVICE_RUNTIME_TARGET)
message(FATAL_ERROR "HIP Language is not properly configured.")
endif()
add_compile_options("$<$<COMPILE_LANGUAGE:HIP>:SHELL:-x hip>")
if (NOT onnxruntime_HIPIFY_PERL)
find_path(HIPIFY_PERL_PATH
NAMES hipify-perl
HINTS
${onnxruntime_ROCM_HOME}/bin
${onnxruntime_ROCM_HOME}/hip/bin)
if (HIPIFY_PERL_PATH-NOTFOUND)
MESSAGE(FATAL_ERROR "hipify-perl not found")
endif()
set(onnxruntime_HIPIFY_PERL ${HIPIFY_PERL_PATH}/hipify-perl)
endif()
# replicate strategy used by pytorch to get ROCM_VERSION
# https://github.com/pytorch/pytorch/blob/5c5b71b6eebae76d744261715231093e62f0d090/cmake/public/LoadHIP.cmake
# with modification
if (EXISTS "${onnxruntime_ROCM_HOME}/.info/version")
file(READ "${onnxruntime_ROCM_HOME}/.info/version" ROCM_VERSION_DEV_RAW)
string(REGEX MATCH "^([0-9]+)\.([0-9]+)\.([0-9]+)-.*$" ROCM_VERSION_MATCH ${ROCM_VERSION_DEV_RAW})
elseif (EXISTS "${onnxruntime_ROCM_HOME}/include/rocm_version.h")
file(READ "${onnxruntime_ROCM_HOME}/include/rocm_version.h" ROCM_VERSION_H_RAW)
string(REGEX MATCH "\"([0-9]+)\.([0-9]+)\.([0-9]+).*\"" ROCM_VERSION_MATCH ${ROCM_VERSION_H_RAW})
elseif (EXISTS "${onnxruntime_ROCM_HOME}/include/rocm-core/rocm_version.h")
file(READ "${onnxruntime_ROCM_HOME}/include/rocm-core/rocm_version.h" ROCM_VERSION_H_RAW)
string(REGEX MATCH "\"([0-9]+)\.([0-9]+)\.([0-9]+).*\"" ROCM_VERSION_MATCH ${ROCM_VERSION_H_RAW})
endif()
if (ROCM_VERSION_MATCH)
set(ROCM_VERSION_DEV_MAJOR ${CMAKE_MATCH_1})
set(ROCM_VERSION_DEV_MINOR ${CMAKE_MATCH_2})
set(ROCM_VERSION_DEV_PATCH ${CMAKE_MATCH_3})
set(ROCM_VERSION_DEV "${ROCM_VERSION_DEV_MAJOR}.${ROCM_VERSION_DEV_MINOR}.${ROCM_VERSION_DEV_PATCH}")
math(EXPR ROCM_VERSION_DEV_INT "(${ROCM_VERSION_DEV_MAJOR}*10000) + (${ROCM_VERSION_DEV_MINOR}*100) + ${ROCM_VERSION_DEV_PATCH}")
else()
message(FATAL_ERROR "Cannot determine ROCm version string")
endif()
message("\n***** ROCm version from ${onnxruntime_ROCM_HOME}/.info/version ****\n")
message("ROCM_VERSION_DEV: ${ROCM_VERSION_DEV}")
message("ROCM_VERSION_DEV_MAJOR: ${ROCM_VERSION_DEV_MAJOR}")
message("ROCM_VERSION_DEV_MINOR: ${ROCM_VERSION_DEV_MINOR}")
message("ROCM_VERSION_DEV_PATCH: ${ROCM_VERSION_DEV_PATCH}")
message("ROCM_VERSION_DEV_INT: ${ROCM_VERSION_DEV_INT}")
message("\n***** HIP LANGUAGE CONFIG INFO ****\n")
message("CMAKE_HIP_COMPILER: ${CMAKE_HIP_COMPILER}")
message("CMAKE_HIP_ARCHITECTURES: ${CMAKE_HIP_ARCHITECTURES}")
message("CMAKE_HIP_FLAGS: ${CMAKE_HIP_FLAGS}")
string(TOUPPER ${CMAKE_BUILD_TYPE} BUILD_TYPE)
message("CMAKE_HIP_FLAGS_${BUILD_TYPE}: ${CMAKE_HIP_FLAGS_${BUILD_TYPE}}")
add_definitions(-DROCM_VERSION=${ROCM_VERSION_DEV_INT})
if (onnxruntime_USE_COMPOSABLE_KERNEL AND ROCM_VERSION_DEV VERSION_LESS "5.3")
message(WARNING "composable kernel is only supported on ROCm >= 5.3")
set(onnxruntime_USE_COMPOSABLE_KERNEL OFF)
set(onnxruntime_USE_COMPOSABLE_KERNEL_CK_TILE OFF)
endif()
if (onnxruntime_USE_COMPOSABLE_KERNEL_CK_TILE AND ROCM_VERSION_DEV VERSION_LESS "6.0")
message(WARNING "ck_tile can only be enabled on ROCm >= 6.0 due to compatibility and compilation speed, disable automatically")
set(onnxruntime_USE_COMPOSABLE_KERNEL_CK_TILE OFF)
endif()
if (onnxruntime_USE_COMPOSABLE_KERNEL_CK_TILE AND CMAKE_BUILD_TYPE STREQUAL "Debug")
message(WARNING "ck_tile hits compiler error in Debug build, disable automatically")
set(onnxruntime_USE_COMPOSABLE_KERNEL_CK_TILE OFF)
endif()
endif()
# Single output director for all binaries
set(RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin CACHE PATH "Single output directory for all binaries.")
include(FetchContent)
function(set_msvc_c_cpp_compiler_warning_level warning_level)
if (NOT "${warning_level}" MATCHES "^[0-4]$")
message(FATAL_ERROR "Expected warning_level value of 0-4, got '${warning_level}'.")
endif()
if (MSVC)
set(warning_flag "/W${warning_level}")
get_property(opts DIRECTORY PROPERTY COMPILE_OPTIONS)
# only match the generator expression added by this function
list(FILTER opts
EXCLUDE REGEX "^\\$<\\$<COMPILE_LANGUAGE:CXX,C>:/W[0-4]>$")
list(APPEND opts "$<$<COMPILE_LANGUAGE:CXX,C>:${warning_flag}>")
set_property(DIRECTORY PROPERTY COMPILE_OPTIONS "${opts}")
endif()
endfunction()
if(MSVC_Z7_OVERRIDE)
set(CMAKE_MSVC_DEBUG_INFORMATION_FORMAT "$<$<CONFIG:Debug,RelWithDebInfo>:Embedded>")
endif(MSVC_Z7_OVERRIDE)
# set default MSVC warning level to 3 for external dependencies
set_msvc_c_cpp_compiler_warning_level(3)
# Fuzz test has only been tested with BUILD_SHARED_LIB option,
# using the MSVC compiler and on windows OS and clang/gcc compiler on Linux.
if (onnxruntime_FUZZ_TEST AND onnxruntime_BUILD_SHARED_LIB AND onnxruntime_USE_FULL_PROTOBUF)
# Fuzz test library dependency, protobuf-mutator,
# needs the onnx message to be compiled using "non-lite protobuf version"
set(onnxruntime_FUZZ_ENABLED ON)
endif()
if (onnxruntime_USE_VALGRIND AND NOT WIN32)
add_definitions(-DRE2_ON_VALGRIND=1)
endif()
if (onnxruntime_ENABLE_NVTX_PROFILE)
add_definitions(-DENABLE_NVTX_PROFILE=1)
endif()
if (onnxruntime_ENABLE_BITCODE)
if (NOT (CMAKE_SYSTEM_NAME STREQUAL "iOS"))
message(FATAL_ERROR "iOS platform required for onnxruntime_ENABLE_BITCODE")
endif()
set(CMAKE_XCODE_ATTRIBUTE_ENABLE_BITCODE YES)
set(CMAKE_XCODE_ATTRIBUTE_BITCODE_GENERATION_MODE "bitcode")
else()
set(CMAKE_XCODE_ATTRIBUTE_ENABLE_BITCODE NO)
endif()
if (onnxruntime_ENABLE_MEMORY_PROFILE)
add_definitions(-DORT_MEMORY_PROFILE=1)
endif()
set(ONNX_ML 1)
if (NOT (UNIX AND onnxruntime_ENABLE_PYTHON AND onnxruntime_ENABLE_TRAINING AND (NOT onnxruntime_BUILD_SHARED_LIB)))
if (onnxruntime_ENABLE_TRAINING_TORCH_INTEROP)
message(WARNING "onnxruntime_ENABLE_TRAINING_TORCH_INTEROP is turned OFF due to incompatible build combinations.")
endif()
set(onnxruntime_ENABLE_TRAINING_TORCH_INTEROP OFF)
endif()
if (NOT (UNIX AND onnxruntime_USE_CUDA AND onnxruntime_ENABLE_PYTHON AND onnxruntime_ENABLE_TRAINING AND (NOT onnxruntime_BUILD_SHARED_LIB)))
if (onnxruntime_ENABLE_TRITON)
message(WARNING "onnxruntime_ENABLE_TRITON is turned OFF because it's designed to support CUDA training on Linux only currently.")
endif()
set(onnxruntime_ENABLE_TRITON OFF)
endif()
set(onnxruntime_REQUIRE_PYTHON_EMBED_LIB OFF)
if (onnxruntime_ENABLE_TRAINING_TORCH_INTEROP)
add_compile_definitions(ENABLE_TRAINING_TORCH_INTEROP)
# Python::Python is required for building unit test executables.
if (onnxruntime_BUILD_UNIT_TESTS)
set(onnxruntime_REQUIRE_PYTHON_EMBED_LIB ON)
endif()
endif()
if (onnxruntime_ENABLE_TRITON)
# Need SetOutputMLValue.
set(onnxruntime_ENABLE_ATEN ON)
add_compile_definitions(ENABLE_TRITON)
# Python::Python is required for building unit test executables.
if (onnxruntime_BUILD_UNIT_TESTS)
set(onnxruntime_REQUIRE_PYTHON_EMBED_LIB ON)
endif()
endif()
# General C# properties
if (onnxruntime_BUILD_CSHARP)
check_language(CSharp)
if (CMAKE_CSharp_COMPILER)
enable_language(CSharp)
set(CMAKE_CSharp_FLAGS ${CMAKE_CSharp_FLAGS} "/langversion:6")
message(STATUS "CMAKE_Csharp_Compiler = ${CMAKE_CSharp_COMPILER}")
else()
message(WARNING "Language Csharp is not found in the system")
endif()
endif()
if (onnxruntime_BUILD_OBJC)
check_language(OBJC)
if(CMAKE_OBJC_COMPILER)
enable_language(OBJC)
else()
message(FATAL_ERROR "Objective-C is not supported.")
endif()
check_language(OBJCXX)
if(CMAKE_OBJCXX_COMPILER)
enable_language(OBJCXX)
else()
message(FATAL_ERROR "Objective-C++ is not supported.")
endif()
endif()
if (NOT WIN32)
#TODO: On Linux we may try https://github.com/microsoft/TraceLogging.git
if (onnxruntime_ENABLE_INSTRUMENT)
message(WARNING "Instrument is only supported on Windows now")
set(onnxruntime_ENABLE_INSTRUMENT OFF)
endif()
endif()
# 'extended' implies minimal.
if (onnxruntime_EXTENDED_MINIMAL_BUILD AND NOT onnxruntime_MINIMAL_BUILD)
set(onnxruntime_MINIMAL_BUILD ON)
endif()
include(adjust_global_compile_flags.cmake)
if (APPLE)
if (NOT CMAKE_OSX_ARCHITECTURES)
message("Building ONNX Runtime for ${CMAKE_HOST_SYSTEM_PROCESSOR} CPU ARCH")
endif()
elseif (NOT WIN32 AND NOT APPLE)
message("Building ONNX Runtime for ${onnxruntime_target_platform} CPU ARCH")
endif()
# We need to link with libatomic on systems that do not have built-in atomics, or
# don't have built-in support for 8 byte atomics
# Derived from https://github.com/protocolbuffers/protobuf/blob/master/cmake/CMakeLists.txt
set(onnxruntime_LINK_LIBATOMIC false)
# We don't need to link libatomic on iOS
if (NOT MSVC AND NOT (CMAKE_SYSTEM_NAME STREQUAL "iOS"))
include(CheckCXXSourceCompiles)
set(OLD_CMAKE_REQUIRED_FLAGS ${CMAKE_REQUIRED_FLAGS})
set(CMAKE_REQUIRED_FLAGS ${CMAKE_REQUIRED_FLAGS} -std=c++11)
check_cxx_source_compiles("
#include <atomic>
int main() {
return std::atomic<int64_t>{};
}
" onnxruntime_HAVE_BUILTIN_ATOMICS)
if (NOT onnxruntime_HAVE_BUILTIN_ATOMICS)
set(onnxruntime_LINK_LIBATOMIC true)
endif()
set(CMAKE_REQUIRED_FLAGS ${OLD_CMAKE_REQUIRED_FLAGS})
endif()
set(REPO_ROOT ${PROJECT_SOURCE_DIR}/..)
set(ONNXRUNTIME_ROOT ${PROJECT_SOURCE_DIR}/../onnxruntime)
set(ORTTRAINING_ROOT ${PROJECT_SOURCE_DIR}/../orttraining)
set(ORTTRAINING_SOURCE_DIR ${ORTTRAINING_ROOT}/orttraining)
file (STRINGS "${REPO_ROOT}/VERSION_NUMBER" ORT_VERSION)
find_package(Threads)
# On Windows we directly use Windows APIs to do the job
# Android NDK doesn't provide the iconv lib.
if(NOT WIN32 AND NOT CMAKE_SYSTEM_NAME STREQUAL "Android")
find_package(Iconv REQUIRED)
set(ICONV_LIB Iconv::Iconv)
endif()
find_package(Patch)
if (CMAKE_HOST_WIN32 AND NOT Patch_FOUND)
# work around CI machines missing patch from the git install by falling back to the binary in this repo.
# replicate what happens in https://github.com/Kitware/CMake/blob/master/Modules/FindPatch.cmake but without
# the hardcoded suffixes in the path to the patch binary.
find_program(Patch_EXECUTABLE NAMES patch PATHS ${PROJECT_SOURCE_DIR}/external/git.Win32.2.41.03.patch)
if(Patch_EXECUTABLE)
set(Patch_FOUND 1)
if (NOT TARGET Patch::patch)
add_executable(Patch::patch IMPORTED)
set_property(TARGET Patch::patch PROPERTY IMPORTED_LOCATION ${Patch_EXECUTABLE})
endif()
endif()
endif()
if(Patch_FOUND)
message("Patch found: ${Patch_EXECUTABLE}")
endif()
if (CMAKE_CROSSCOMPILING)
message("Doing crosscompiling")
endif()
#Need python to generate def file
if (onnxruntime_BUILD_SHARED_LIB OR onnxruntime_ENABLE_PYTHON)
if (onnxruntime_ENABLE_PYTHON)
if (onnxruntime_REQUIRE_PYTHON_EMBED_LIB)
find_package(Python 3.8 COMPONENTS Interpreter Development NumPy)
else()
find_package(Python 3.8 COMPONENTS Interpreter Development.Module NumPy)
endif()
message("Numpy version: ${Python_NumPy_VERSION}")
if(Python_NumPy_VERSION VERSION_LESS "2.0.0")
message(WARNING "The build binary will not be compatible with NumPy 2.0 because the NumPy installed on this machine is too low.")
endif()
else()
find_package(Python 3.8 COMPONENTS Interpreter)
endif()
endif()
#Dependencies begin
get_filename_component(ONNXRUNTIME_ROOT "${ONNXRUNTIME_ROOT}" ABSOLUTE)
get_filename_component(ORTTRAINING_ROOT "${ORTTRAINING_ROOT}" ABSOLUTE)
get_filename_component(REPO_ROOT "${REPO_ROOT}" ABSOLUTE)
set(ONNXRUNTIME_INCLUDE_DIR ${REPO_ROOT}/include/onnxruntime)
list(APPEND CMAKE_MODULE_PATH ${PROJECT_SOURCE_DIR}/external)
include(external/onnxruntime_external_deps.cmake)
set(ORT_WARNING_FLAGS)
if (WIN32)
# class needs to have dll-interface to be used by clients
list(APPEND ORT_WARNING_FLAGS "/wd4251")
# issued by thrust nonstandard extension used: nameless struct/union
list(APPEND ORT_WARNING_FLAGS "/wd4201")
# structure was padded due to __declspec(align())
list(APPEND ORT_WARNING_FLAGS "/wd4324")
# warning C4800: Implicit conversion from 'X' to bool. Possible information loss
if (onnxruntime_USE_OPENVINO)
list(APPEND ORT_WARNING_FLAGS "/wd4800")
endif()
# operator 'operator-name': deprecated between enumerations of different types
list(APPEND ORT_WARNING_FLAGS "/wd5054")
# Enable warning: data member 'member' will be initialized after data member 'member2' / base class 'base_class'
list(APPEND ORT_WARNING_FLAGS "/w15038")
# set linker flags to minimize the binary size.
if (MSVC)
foreach(type EXE STATIC SHARED)
if (NOT type MATCHES STATIC)
# The WinML internal toolchain does not allow link's "additional options" to contain optimization
# flags (/OPT#); these are already specified using msbuild properties.
if (NOT DEFINED onnxruntime_DISABLE_LINKER_OPT_FLAGS)
set(CMAKE_${type}_LINKER_FLAGS_RELEASE "${CMAKE_${type}_LINKER_FLAGS_RELEASE} /OPT:REF,ICF,LBR")
set(CMAKE_${type}_LINKER_FLAGS_RELEASE "${CMAKE_${type}_LINKER_FLAGS_RELEASE} /INCREMENTAL:NO")
set(CMAKE_${type}_LINKER_FLAGS_RELWITHDEBINFO "${CMAKE_${type}_LINKER_FLAGS_RELWITHDEBINFO} /OPT:REF,ICF,LBR")
set(CMAKE_${type}_LINKER_FLAGS_RELWITHDEBINFO "${CMAKE_${type}_LINKER_FLAGS_RELWITHDEBINFO} /INCREMENTAL:NO")
set(CMAKE_${type}_LINKER_FLAGS_MINSIZEREL "${CMAKE_${type}_LINKER_FLAGS_MINSIZEREL} /OPT:REF,ICF,LBR")
set(CMAKE_${type}_LINKER_FLAGS_MINSIZEREL "${CMAKE_${type}_LINKER_FLAGS_MINSIZEREL} /INCREMENTAL:NO")
endif()
endif()
if (onnxruntime_ENABLE_LTO AND NOT onnxruntime_USE_CUDA)
set(CMAKE_${type}_LINKER_FLAGS_RELEASE "${CMAKE_${type}_LINKER_FLAGS_RELEASE} /LTCG")
set(CMAKE_${type}_LINKER_FLAGS_RELWITHDEBINFO "${CMAKE_${type}_LINKER_FLAGS_RELWITHDEBINFO} /LTCG")
set(CMAKE_${type}_LINKER_FLAGS_MINSIZEREL "${CMAKE_${type}_LINKER_FLAGS_MINSIZEREL} /LTCG")
endif()
endforeach()
endif()
else()
check_cxx_compiler_flag(-Wambiguous-reversed-operator HAS_AMBIGUOUS_REVERSED_OPERATOR)
check_cxx_compiler_flag(-Wbitwise-instead-of-logical HAS_BITWISE_INSTEAD_OF_LOGICAL)
check_cxx_compiler_flag(-Wcast-function-type HAS_CAST_FUNCTION_TYPE)
check_cxx_compiler_flag(-Wcatch-value HAS_CATCH_VALUE)
check_cxx_compiler_flag(-Wclass-memaccess HAS_CLASS_MEMACCESS)
check_cxx_compiler_flag(-Wdangling-reference HAS_DANGLING_REFERENCE)
check_cxx_compiler_flag(-Wdeprecated-anon-enum-enum-conversion HAS_DEPRECATED_ANON_ENUM_ENUM_CONVERSION)
check_cxx_compiler_flag(-Wdeprecated-builtins HAS_DEPRECATED_BUILTINS)
check_cxx_compiler_flag(-Wdeprecated-copy HAS_DEPRECATED_COPY)
check_cxx_compiler_flag(-Wdeprecated-declarations HAS_DEPRECATED_DECLARATIONS)
check_cxx_compiler_flag(-Wdeprecated-this-capture HAS_DEPRECATED_THIS_CAPTURE)
check_cxx_compiler_flag(-Wenum-constexpr-conversion HAS_ENUM_CONSTEXPR_CONVERSION)
check_cxx_compiler_flag(-Wformat-truncation HAS_FORMAT_TRUNCATION)
check_cxx_compiler_flag(-Wignored-attributes HAS_IGNORED_ATTRIBUTES)
check_cxx_compiler_flag(-Wmaybe-uninitialized HAS_MAYBE_UNINITIALIZED)
check_cxx_compiler_flag(-Wmissing-braces HAS_MISSING_BRACES)
check_cxx_compiler_flag(-Wnonnull-compare HAS_NONNULL_COMPARE)
check_cxx_compiler_flag(-Wparentheses HAS_PARENTHESES)
check_cxx_compiler_flag(-Wshorten-64-to-32 HAS_SHORTEN_64_TO_32)
check_cxx_compiler_flag(-Wstrict-aliasing HAS_STRICT_ALIASING)
check_nvcc_compiler_flag(-Wstrict-aliasing NVCC_HAS_STRICT_ALIASING)
check_cxx_compiler_flag(-Wstringop-overflow HAS_STRINGOP_OVERFLOW)
check_cxx_compiler_flag(-Wtautological-pointer-compare HAS_TAUTOLOGICAL_POINTER_COMPARE)
check_cxx_compiler_flag(-Wundefined-var-template HAS_UNDEFINED_VAR_TEMPLATE)
check_cxx_compiler_flag(-Wunused-but-set-parameter HAS_UNUSED_BUT_SET_PARAMETER)
check_cxx_compiler_flag(-Wunused-but-set-variable HAS_UNUSED_BUT_SET_VARIABLE)
check_cxx_compiler_flag(-Wunused-variable HAS_UNUSED_VARIABLE)
check_cxx_compiler_flag(-Wuseless-cast HAS_USELESS_CAST)
if(onnxruntime_ENABLE_TRAINING_APIS)
if(HAS_DANGLING_REFERENCE)
list(APPEND ORT_WARNING_FLAGS -Wno-dangling-reference)
endif()
endif()
check_function_exists(reallocarray HAS_REALLOCARRAY)
if (NOT APPLE AND NOT CMAKE_SYSTEM_NAME STREQUAL "Emscripten" AND onnxruntime_target_platform STREQUAL "aarch64")
check_cxx_compiler_flag(-march=armv8.2-a+bf16 HAS_ARM64_BFLOAT16)
if(NOT HAS_ARM64_BFLOAT16)
message(FATAL_ERROR "The compiler doesn't support BFLOAT16!!!")
endif()
check_cxx_compiler_flag(-march=armv8.2-a+fp16 HAS_ARM64_FLOAT16)
if(NOT HAS_ARM64_FLOAT16)
message(FATAL_ERROR "The compiler doesn't support FLOAT16!!!")
endif()
endif()
if (HAS_TAUTOLOGICAL_POINTER_COMPARE)
#we may have extra null pointer checkings in debug build, it's not an issue
list(APPEND ORT_WARNING_FLAGS -Wno-tautological-pointer-compare)
endif()
if (HAS_NONNULL_COMPARE)
#we may have extra null pointer checkings in debug build, it's not an issue
list(APPEND ORT_WARNING_FLAGS -Wno-nonnull-compare)
endif()
if (HAS_AMBIGUOUS_REVERSED_OPERATOR)
list(APPEND ORT_WARNING_FLAGS -Wno-ambiguous-reversed-operator)
endif()
if (HAS_DEPRECATED_ANON_ENUM_ENUM_CONVERSION)
list(APPEND ORT_WARNING_FLAGS -Wno-deprecated-anon-enum-enum-conversion)
endif()
if (HAS_UNDEFINED_VAR_TEMPLATE)
list(APPEND ORT_WARNING_FLAGS -Wno-undefined-var-template)
endif()
if (HAS_DEPRECATED_BUILTINS)
list(APPEND ORT_WARNING_FLAGS -Wno-deprecated-builtins)
endif()
#see:https://reviews.llvm.org/D131307
#It was intended that the 'enum-constexpr-conversion' type warnings can not be silenced by -w
if(HAS_ENUM_CONSTEXPR_CONVERSION AND NOT Protobuf_FOUND)
if (TARGET libprotobuf)
target_compile_options(libprotobuf PRIVATE "-Wno-enum-constexpr-conversion")
endif()
if (TARGET libprotobuf-lite)
target_compile_options(libprotobuf-lite PRIVATE "-Wno-enum-constexpr-conversion")
endif()
endif()
# enable warning(s) that may not be on by default
if (HAS_SHORTEN_64_TO_32)
list(APPEND ORT_WARNING_FLAGS -Wshorten-64-to-32)
endif()
endif()
#names in this var must match the directory names under onnxruntime/core/providers
#ONNXRUNTIME_PROVIDER_NAMES is the list of providers that needs to export additional symbols in the global namespace.
#For example CUDA EP exports "OrtSessionOptionsAppendExecutionProvider_CUDA", which is a global function.
#However, all these things are legacy and deprecated and should be replaced with functions in onnxruntime_c_api.h.
set(ONNXRUNTIME_PROVIDER_NAMES cpu)
set(ORT_PROVIDER_FLAGS)
set(ORT_PROVIDER_CMAKE_FLAGS)
if (onnxruntime_USE_CUDA)
enable_language(CUDA)
message( STATUS "CMAKE_CUDA_COMPILER_VERSION: ${CMAKE_CUDA_COMPILER_VERSION}")
if (onnxruntime_DISABLE_CONTRIB_OPS)
set(onnxruntime_USE_FLASH_ATTENTION OFF)
set(onnxruntime_USE_MEMORY_EFFICIENT_ATTENTION OFF)
endif()
if (CMAKE_CUDA_COMPILER_VERSION VERSION_LESS 11.6)
message( STATUS "Turn off flash attention since CUDA compiler version < 11.6")
set(onnxruntime_USE_FLASH_ATTENTION OFF)
set(onnxruntime_USE_MEMORY_EFFICIENT_ATTENTION OFF)
elseif(WIN32 AND CMAKE_CUDA_COMPILER_VERSION VERSION_LESS 12)
message( STATUS "Flash-Attention unsupported in Windows with CUDA compiler version < 12.0")
set(onnxruntime_USE_FLASH_ATTENTION OFF)
endif()
if (CMAKE_CUDA_COMPILER_VERSION VERSION_LESS 11.4)
message( FATAL_ERROR "Failed build due to CUDA compiler version < 11.4")
endif()
else()
set(onnxruntime_USE_FLASH_ATTENTION OFF)
set(onnxruntime_USE_MEMORY_EFFICIENT_ATTENTION OFF)
endif()
if (onnxruntime_USE_CUDA)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_CUDA=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_CUDA=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES cuda)
if (onnxruntime_USE_FLASH_ATTENTION)
message( STATUS "Enable flash attention for CUDA EP")
list(APPEND ORT_PROVIDER_FLAGS -DUSE_FLASH_ATTENTION=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_FLASH_ATTENTION=1)
endif()
if (onnxruntime_USE_MEMORY_EFFICIENT_ATTENTION)
message( STATUS "Enable memory efficient attention for CUDA EP")
list(APPEND ORT_PROVIDER_FLAGS -DUSE_MEMORY_EFFICIENT_ATTENTION=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_MEMORY_EFFICIENT_ATTENTION=1)
endif()
endif()
if (onnxruntime_USE_VITISAI)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_VITISAI=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_VITISAI=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES vitisai)
endif()
if (onnxruntime_USE_DNNL)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_DNNL=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES dnnl)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_DNNL=1)
endif()
if (onnxruntime_USE_OPENVINO)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_OPENVINO=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES openvino)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_OPENVINO=1)
endif()
if (onnxruntime_USE_TENSORRT)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_TENSORRT=1)
#TODO: remove the following line and change the test code in onnxruntime_shared_lib_test to use the new EP API.
list(APPEND ONNXRUNTIME_PROVIDER_NAMES tensorrt)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_TENSORRT=1)
endif()
if (onnxruntime_USE_RKNPU)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_RKNPU=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_RKNPU=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES rknpu)
endif()
if (onnxruntime_USE_VSINPU)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_VSINPU=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_VSINPU=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES vsinpu)
endif()
if (onnxruntime_USE_NNAPI_BUILTIN)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_NNAPI=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_NNAPI_BUILTIN=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES nnapi)
endif()
if (onnxruntime_USE_JSEP)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_JSEP=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_JSEP=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES js)
endif()
if (onnxruntime_USE_QNN)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_QNN=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_QNN=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES qnn)
if (NOT QNN_ARCH_ABI)
string(TOLOWER ${onnxruntime_target_platform} GEN_PLATFORM)
if(MSVC)
message(STATUS "Building MSVC for architecture ${CMAKE_SYSTEM_PROCESSOR} with CMAKE_GENERATOR_PLATFORM as ${GEN_PLATFORM}")
if (${GEN_PLATFORM} STREQUAL "arm64")
set(QNN_ARCH_ABI aarch64-windows-msvc)
elseif (${GEN_PLATFORM} STREQUAL "arm64ec")
set(QNN_ARCH_ABI arm64x-windows-msvc)
else()
set(QNN_ARCH_ABI x86_64-windows-msvc)
endif()
else()
if (${CMAKE_SYSTEM_NAME} STREQUAL "Android")
set(QNN_ARCH_ABI aarch64-android-clang6.0)
elseif (${CMAKE_SYSTEM_NAME} STREQUAL "Linux")
if (${GEN_PLATFORM} STREQUAL "x86_64")
set(QNN_ARCH_ABI x86_64-linux-clang)
else()
set(QNN_ARCH_ABI aarch64-android)
endif()
endif()
endif()
endif()
if (MSVC OR ${CMAKE_SYSTEM_NAME} STREQUAL "Linux")
file(GLOB QNN_LIB_FILES LIST_DIRECTORIES false "${onnxruntime_QNN_HOME}/lib/${QNN_ARCH_ABI}/libQnn*.so"
"${onnxruntime_QNN_HOME}/lib/${QNN_ARCH_ABI}/Qnn*.dll"
"${onnxruntime_QNN_HOME}/lib/${QNN_ARCH_ABI}/libHtpPrepare.so"
"${onnxruntime_QNN_HOME}/lib/${QNN_ARCH_ABI}/HtpPrepare.dll")
if (${QNN_ARCH_ABI} STREQUAL "aarch64-windows-msvc" OR ${QNN_ARCH_ABI} STREQUAL "arm64x-windows-msvc")
file(GLOB EXTRA_HTP_LIB LIST_DIRECTORIES false "${onnxruntime_QNN_HOME}/lib/hexagon-v68/unsigned/libQnnHtpV68Skel.so"
"${onnxruntime_QNN_HOME}/lib/hexagon-v73/unsigned/libQnnHtpV73Skel.so"
"${onnxruntime_QNN_HOME}/lib/hexagon-v73/unsigned/libqnnhtpv73.cat")
list(APPEND QNN_LIB_FILES ${EXTRA_HTP_LIB})
endif()
message(STATUS "QNN lib files: " ${QNN_LIB_FILES})
endif()
endif()
if (onnxruntime_USE_SNPE)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_SNPE=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES snpe)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_SNPE=1)
endif()
if (onnxruntime_USE_TVM)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_TVM=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_TVM=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES tvm)
endif()
if (onnxruntime_USE_WINML)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_WINML=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_WINML=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES winml)
endif()
if (onnxruntime_USE_ACL)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_ACL=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_ACL=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES acl)
endif()
if (onnxruntime_USE_DML)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_DML=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_DML=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES dml)
if(onnxruntime_ENABLE_NPU_ADAPTER_ENUMERATION)
list(APPEND ORT_PROVIDER_FLAGS -DENABLE_NPU_ADAPTER_ENUMERATION=1)
endif()
endif()
if (onnxruntime_USE_MIGRAPHX)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_MIGRAPHX=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_MIGRAPHX=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES migraphx)
endif()
if (onnxruntime_USE_ARMNN)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_ARMNN=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_ARMNN=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES armnn)
endif()
if (onnxruntime_USE_ROCM)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_ROCM=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_ROCM=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES rocm)
endif()
if (onnxruntime_USE_COREML)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_COREML=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_COREML=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES coreml)
endif()
if (onnxruntime_USE_XNNPACK)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_XNNPACK=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_XNNPACK=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES xnnpack)
endif()
if (onnxruntime_USE_WEBNN)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_WEBNN=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_WEBNN=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES webnn)
endif()
if (onnxruntime_USE_WEBGPU)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_WEBGPU=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_WEBGPU=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES webgpu)
endif()
if (onnxruntime_USE_CANN)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_CANN=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_CANN=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES cann)
endif()
if (onnxruntime_USE_AZURE)
list(APPEND ORT_PROVIDER_FLAGS -DUSE_AZURE=1)
list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_AZURE=1)
list(APPEND ONNXRUNTIME_PROVIDER_NAMES azure)
endif()
if (onnxruntime_USE_LOCK_FREE_QUEUE)
add_compile_definitions(USE_LOCK_FREE_QUEUE)
endif()
if (onnxruntime_ENABLE_LAZY_TENSOR)
# To support LazyTensor, ORT needs to call Python function from C/C++.
# so onnxruntime_ENABLE_PYTHON is required.
if (NOT onnxruntime_ENABLE_TRAINING OR NOT onnxruntime_ENABLE_PYTHON)
message(
FATAL_ERROR
"Option onnxruntime_ENABLE_LAZY_TENSOR can only be set when onnxruntime_ENABLE_TRAINING and onnxruntime_ENABLE_PYTHON are enabled")
endif()
# TODO: In the future, we can compile LazyTensor into a standalone
# library target, onnxruntime_lazy_tensor, to make the buid
# cleaner.
endif()
function(onnxruntime_set_compile_flags target_name)
if (CPUINFO_SUPPORTED)
onnxruntime_add_include_to_target(${target_name} cpuinfo::cpuinfo)
endif()
if(onnxruntime_ENABLE_LAZY_TENSOR)
target_compile_definitions(${target_name} PRIVATE ENABLE_LAZY_TENSOR)
endif()
if (onnxruntime_ENABLE_CPU_FP16_OPS)
target_compile_definitions(${target_name} PRIVATE ENABLE_CPU_FP16_TRAINING_OPS)
endif()
if(onnxruntime_DISABLE_ABSEIL)
target_compile_definitions(${target_name} PRIVATE DISABLE_ABSEIL)
endif()
if(UNIX)
target_compile_definitions(${target_name} PRIVATE PLATFORM_POSIX)
endif()
target_compile_definitions(${target_name} PRIVATE EIGEN_USE_THREADS)
if (onnxruntime_DISABLE_CONTRIB_OPS)
target_compile_definitions(${target_name} PRIVATE DISABLE_CONTRIB_OPS)
endif()
if (onnxruntime_DISABLE_ML_OPS)
target_compile_definitions(${target_name} PRIVATE DISABLE_ML_OPS)
endif()
if (onnxruntime_DISABLE_SPARSE_TENSORS)
target_compile_definitions(${target_name} PRIVATE DISABLE_SPARSE_TENSORS)
endif()
if (onnxruntime_DISABLE_OPTIONAL_TYPE)
target_compile_definitions(${target_name} PRIVATE DISABLE_OPTIONAL_TYPE)
endif()
if (onnxruntime_DISABLE_FLOAT8_TYPES)
target_compile_definitions(${target_name} PRIVATE DISABLE_FLOAT8_TYPES)
endif()
if (onnxruntime_ENABLE_ATEN)
target_compile_definitions(${target_name} PRIVATE ENABLE_ATEN)