forked from tensorflow/tensorflow
-
Notifications
You must be signed in to change notification settings - Fork 0
/
.bazelrc
421 lines (359 loc) · 18 KB
/
.bazelrc
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
# TensorFlow Bazel configuration file.
# This file tries to group and simplify build options for TensorFlow
#
# ----CONFIG OPTIONS----
# Android options:
# android:
# android_arm:
# android_x86:
# android_x86_64:
#
# iOS options:
# ios:
# ios_armv7:
# ios_arm64:
# ios_i386:
# ios_x86_64:
# ios_fat:
#
# Compiler options:
# cuda_clang: Use clang when building CUDA code.
# c++17: Build with C++17 options
# C++1z: Build with C++17 options
# avx_linux: Build with avx instruction set on linux.
# avx2_linux: Build with avx2 instruction set on linux.
# arch_native_linux: Build with instruction sets available to the host machine on linux
# avx_win: Build with avx instruction set on windows
# avx2_win: Build with avx2 instruction set on windows
#
# Other build options:
# short_logs: Only log errors during build, skip warnings.
# monolithic: Build all TF C++ code into a single shared object.
# dynamic_kernels: Try to link all kernels dynamically (experimental).
#
#
# TF version options;
# v1: Build TF V1 (without contrib)
# v2: Build TF v2
#
# Feature and Third party library support options:
# xla: Build TF with XLA
# using_cuda: CUDA is available to build system.
# cuda: Build with full cuda support.
# rocm: Build with AMD GPU support (rocm).
# sycl: Build with SYCL support.
# sycl_nodouble:
# sycl_asan:
# sycl_trisycl:
# mkl: Enable full mkl support.
# mkl_open_source_only: Enable MKL support only using open source MKL libraries.
# tensorrt: Enable Tensorrt support.
# ngraph: Enable ngraph support.
# numa: Enable numa using hwloc.
# noaws: Disable AWS S3 storage support
# nogcp: Disable GCS support.
# nohdfs: Disable hadoop hdfs support.
# nonccl: Disable nccl support.
#
#
# Remote build execution options (only configured to work with TF team projects for now.)
# rbe: General RBE options shared by all flavors.
# rbe_linux: General RBE options used on all linux builds.
# rbe_win: General RBE options used on all windows builds.
#
# rbe_cpu_linux: RBE options to build with only CPU support.
# rbe_linux_cuda_nvcc: RBE options to build with GPU support using nvcc.
# rbe_gpu_linux: An alias for rbe_linux_cuda_nvcc
#
# rbe_linux_py2: Linux Python 2 RBE config.
# rbe_linux_py3: Linux Python 3 RBE config
#
# rbe_win_py37: Windows Python 3.7 RBE config
#
# tensorflow_testing_rbe_linux: RBE options to use RBE with tensorflow-testing project on linux
# tensorflow_testing_rbe_win: RBE options to use RBE with tensorflow-testing project on windows
#
# Android configs. Bazel needs to have --cpu and --fat_apk_cpu both set to the
# target CPU to build transient dependencies correctly. See
# https://docs.bazel.build/versions/master/user-manual.html#flag--fat_apk_cpu
build:android --crosstool_top=//external:android/crosstool
build:android --host_crosstool_top=@bazel_tools//tools/cpp:toolchain
build:android_arm --config=android
build:android_arm --cpu=armeabi-v7a
build:android_arm --fat_apk_cpu=armeabi-v7a
build:android_arm64 --config=android
build:android_arm64 --cpu=arm64-v8a
build:android_arm64 --fat_apk_cpu=arm64-v8a
build:android_x86 --config=android
build:android_x86 --cpu=x86
build:android_x86 --fat_apk_cpu=x86
build:android_x86_64 --config=android
build:android_x86_64 --cpu=x86_64
build:android_x86_64 --fat_apk_cpu=x86_64
# Sets the default Apple platform to macOS.
build --apple_platform_type=macos
# iOS configs for each architecture and the fat binary builds.
build:ios --apple_platform_type=ios
build:ios --apple_bitcode=embedded --copt=-fembed-bitcode
build:ios --copt=-Wno-c++11-narrowing
build:ios_armv7 --config=ios
build:ios_armv7 --cpu=ios_armv7
build:ios_arm64 --config=ios
build:ios_arm64 --cpu=ios_arm64
build:ios_i386 --config=ios
build:ios_i386 --cpu=ios_i386
build:ios_x86_64 --config=ios
build:ios_x86_64 --cpu=ios_x86_64
build:ios_fat --config=ios
build:ios_fat --ios_multi_cpus=armv7,arm64,i386,x86_64
# Config to use a mostly-static build and disable modular op registration
# support (this will revert to loading TensorFlow with RTLD_GLOBAL in Python).
# By default, TensorFlow will build with a dependence on
# //tensorflow:libtensorflow_framework.so.
build:monolithic --define framework_shared_object=false
# For projects which use TensorFlow as part of a Bazel build process, putting
# nothing in a bazelrc will default to a monolithic build. The following line
# opts in to modular op registration support by default.
build --define framework_shared_object=true
# Flags for open source build, always set to be true.
build --define open_source_build=true
test --define open_source_build=true
# For workaround https://github.com/bazelbuild/bazel/issues/8772 with Bazel >= 0.29.1
build --java_toolchain=//third_party/toolchains/java:tf_java_toolchain
build --host_java_toolchain=//third_party/toolchains/java:tf_java_toolchain
# Please note that MKL on MacOS or windows is still not supported.
# If you would like to use a local MKL instead of downloading, please set the
# environment variable "TF_MKL_ROOT" every time before build.
build:mkl --define=build_with_mkl=true --define=enable_mkl=true
build:mkl --define=tensorflow_mkldnn_contraction_kernel=0
build:mkl -c opt
# This config option is used to enable MKL-DNN open source library only,
# without depending on MKL binary version.
build:mkl_open_source_only --define=build_with_mkl_dnn_only=true
build:mkl_open_source_only --define=build_with_mkl_dnn_v1_only=true
build:mkl_open_source_only --define=build_with_mkl=true --define=enable_mkl=true
build:mkl_open_source_only --define=tensorflow_mkldnn_contraction_kernel=0
# This config refers to building with CUDA available. It does not necessarily
# mean that we build CUDA op kernels.
build:using_cuda --define=using_cuda=true
build:using_cuda --action_env TF_NEED_CUDA=1
build:using_cuda --crosstool_top=@local_config_cuda//crosstool:toolchain
# This config refers to building CUDA op kernels with nvcc.
build:cuda --config=using_cuda
build:cuda --define=using_cuda_nvcc=true
# This config refers to building CUDA op kernels with clang.
build:cuda_clang --config=using_cuda
build:cuda_clang --define=using_cuda_clang=true
build:cuda_clang --define=using_clang=true
build:cuda_clang --action_env TF_CUDA_CLANG=1
# dbg config, as a shorthand for '--config=opt -c dbg'
build:dbg --config=opt -c dbg
# for now, disable arm_neon. see: https://github.com/tensorflow/tensorflow/issues/33360
build:dbg --cxxopt -DTF_LITE_DISABLE_X86_NEON
build:tensorrt --action_env TF_NEED_TENSORRT=1
build:rocm --crosstool_top=@local_config_rocm//crosstool:toolchain
build:rocm --define=using_rocm=true --define=using_rocm_hipcc=true
build:rocm --action_env TF_NEED_ROCM=1
build:sycl --crosstool_top=@local_config_sycl//crosstool:toolchain
build:sycl --define=using_sycl=true
build:sycl --action_env TF_NEED_OPENCL_SYCL=1
build:sycl_nodouble --config=sycl
build:sycl_nodouble --cxxopt -DTENSORFLOW_SYCL_NO_DOUBLE
build:sycl_nodouble --config=sycl
build:sycl_asan --copt -fno-omit-frame-pointer --copt -fsanitize-coverage=3 --copt -DGPR_NO_DIRECT_SYSCALLS --linkopt -fPIC --linkopt -fsanitize=address
build:sycl_nodouble --config=sycl
build:sycl_trisycl --define=using_trisycl=true
# Options extracted from configure script
build:ngraph --define=with_ngraph_support=true
build:numa --define=with_numa_support=true
# Options to disable default on features
build:noaws --define=no_aws_support=true
build:nogcp --define=no_gcp_support=true
build:nohdfs --define=no_hdfs_support=true
build:nonccl --define=no_nccl_support=true
build --define=use_fast_cpp_protos=true
build --define=allow_oversize_protos=true
build --spawn_strategy=standalone
build -c opt
# Make Bazel print out all options from rc files.
build --announce_rc
# Other build flags.
build --define=grpc_no_ares=true
# See https://github.com/bazelbuild/bazel/issues/7362 for information on what
# --incompatible_remove_legacy_whole_archive flag does.
# This flag is set to true in Bazel 1.0 and newer versions. We tried to migrate
# Tensorflow to the default, however test coverage wasn't enough to catch the
# errors.
# There is ongoing work on Bazel team's side to provide support for transitive
# shared libraries. As part of migrating to transitive shared libraries, we
# hope to provide a better mechanism for control over symbol exporting, and
# then tackle this issue again.
#
# TODO: Remove this line once TF doesn't depend on Bazel wrapping all library
# archives in -whole_archive -no_whole_archive.
build --noincompatible_remove_legacy_whole_archive
# Modular TF build options
build:dynamic_kernels --define=dynamic_loaded_kernels=true
build:dynamic_kernels --copt=-DAUTOLOAD_DYNAMIC_KERNELS
# Build TF with C++ 17 features.
build:c++17 --cxxopt=-std=c++1z
build:c++17 --cxxopt=-stdlib=libc++
build:c++1z --config=c++17
# Enable using platform specific build settings
build --enable_platform_specific_config
# Suppress C++ compiler warnings, otherwise build logs become 10s of MBs.
build:linux --copt=-w
build:macos --copt=-w
build:windows --copt=/w
# Tensorflow uses M_* math constants that only get defined by MSVC headers if
# _USE_MATH_DEFINES is defined.
build:windows --copt=/D_USE_MATH_DEFINES
build:windows --cxxopt=/D_USE_MATH_DEFINES
# Default paths for TF_SYSTEM_LIBS
build:linux --define=PREFIX=/usr
build:linux --define=LIBDIR=$(PREFIX)/lib
build:linux --define=INCLUDEDIR=$(PREFIX)/include
build:macos --define=PREFIX=/usr
build:macos --define=LIBDIR=$(PREFIX)/lib
build:macos --define=INCLUDEDIR=$(PREFIX)/include
# TF_SYSTEM_LIBS do not work on windows.
# By default, build TF in C++ 14 mode.
build:linux --cxxopt=-std=c++14
build:linux --host_cxxopt=-std=c++14
build:macos --cxxopt=-std=c++14
build:macos --host_cxxopt=-std=c++14
build:windows --cxxopt=/std:c++14
build:windows --host_cxxopt=/std:c++14
# On windows, we still link everything into a single DLL.
build:windows --config=monolithic
# On linux, we dynamically link small amount of kernels
build:linux --config=dynamic_kernels
# Make sure to include as little of windows.h as possible
build:windows --copt=-DWIN32_LEAN_AND_MEAN
build:windows --host_copt=-DWIN32_LEAN_AND_MEAN
build:windows --copt=-DNOGDI
build:windows --host_copt=-DNOGDI
# Misc build options we need for windows.
build:windows --linkopt=/DEBUG
build:windows --host_linkopt=/DEBUG
build:windows --linkopt=/OPT:REF
build:windows --host_linkopt=/OPT:REF
build:windows --linkopt=/OPT:ICF
build:windows --host_linkopt=/OPT:ICF
build:windows --experimental_strict_action_env=true
build:windows --incompatible_windows_native_test_wrapper
# Verbose failure logs when something goes wrong
build:windows --verbose_failures
# On windows, we never cross compile
build:windows --distinct_host_configuration=false
# Suppress all warning messages.
build:short_logs --output_filter=DONT_MATCH_ANYTHING
# Instruction set optimizations
# TODO(gunan): Create a feature in toolchains for avx/avx2 to
# avoid having to define linux/win separately.
build:avx_linux --copt=-mavx
build:avx2_linux --copt=-mavx2
build:native_arch_linux --copt=-march=native
build:avx_win --copt=/arch=AVX
build:avx2_win --copt=/arch=AVX2
# Options to build TensorFlow 1.x or 2.x.
build:v1 --define=tf_api_version=1
build:v2 --define=tf_api_version=2
build:v1 --action_env=TF2_BEHAVIOR=0
build:v2 --action_env=TF2_BEHAVIOR=1
build --config=v2
test --config=v2
# Enable XLA
build:xla --action_env=TF_ENABLE_XLA=1
build:xla --define=with_xla_support=true
# BEGIN TF REMOTE BUILD EXECUTION OPTIONS
# Options when using remote execution
# WARNING: THESE OPTIONS WONT WORK IF YOU DO NOT HAVE PROPER AUTHENTICATION AND PERMISSIONS
build:rbe --action_env=BAZEL_DO_NOT_DETECT_CPP_TOOLCHAIN=1
build:rbe --auth_enabled=true
build:rbe --auth_scope=https://www.googleapis.com/auth/cloud-source-tools
build:rbe --bes_backend=buildeventservice.googleapis.com
build:rbe --bes_best_effort=false
build:rbe --bes_results_url="https://source.cloud.google.com/results/invocations"
build:rbe --bes_timeout=600s
build:rbe --define=EXECUTOR=remote
build:rbe --flaky_test_attempts=3
build:rbe --jobs=200
build:rbe --remote_executor=grpcs://remotebuildexecution.googleapis.com
build:rbe --remote_timeout=3600
build:rbe --spawn_strategy=remote,worker,standalone,local
test:rbe --test_env=USER=anon
build:rbe --distinct_host_configuration=false
build:rbe_linux --config=rbe
build:rbe_linux --action_env=PATH="/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/go/bin"
build:rbe_linux --host_javabase=@bazel_toolchains//configs/ubuntu16_04_clang/1.1:jdk8
build:rbe_linux --javabase=@bazel_toolchains//configs/ubuntu16_04_clang/1.1:jdk8
build:rbe_linux --host_java_toolchain=@bazel_tools//tools/jdk:toolchain_hostjdk8
build:rbe_linux --java_toolchain=@bazel_tools//tools/jdk:toolchain_hostjdk8
# Non-rbe settings we should include because we do not run configure
build:rbe_linux --config=xla
build:rbe_linux --config=avx_linux
build:rbe_linux --config=short_logs
# TODO(gunan): Check why we need this specified in rbe, but not in other builds.
build:rbe_linux --linkopt=-lrt
build:rbe_cpu_linux --config=rbe_linux
build:rbe_cpu_linux --crosstool_top="//third_party/toolchains/preconfig/ubuntu16.04/gcc7_manylinux2010:toolchain"
build:rbe_cpu_linux --extra_toolchains="//third_party/toolchains/preconfig/ubuntu16.04/gcc7_manylinux2010:cc-toolchain-k8"
build:rbe_cpu_linux --extra_execution_platforms"=@org_tensorflow//third_party/toolchains:rbe_ubuntu16.04-manylinux2010"
build:rbe_cpu_linux --host_platform="@org_tensorflow//third_party/toolchains:rbe_ubuntu16.04-manylinux2010"
build:rbe_cpu_linux --platforms="@org_tensorflow//third_party/toolchains:rbe_ubuntu16.04-manylinux2010"
build:rbe_linux_cuda_nvcc --config=rbe_linux
build:rbe_linux_cuda_nvcc --crosstool_top="//third_party/toolchains/preconfig/ubuntu16.04/gcc7_manylinux2010-nvcc-cuda10.1:toolchain"
build:rbe_linux_cuda_nvcc --extra_toolchains="//third_party/toolchains/preconfig/ubuntu16.04/gcc7_manylinux2010-nvcc-cuda10.1:toolchain-linux-x86_64"
build:rbe_linux_cuda_nvcc --extra_execution_platforms="@org_tensorflow//third_party/toolchains:rbe_cuda10.1-cudnn7-ubuntu16.04-manylinux2010,@org_tensorflow//third_party/toolchains:rbe_cuda10.1-cudnn7-ubuntu16.04-manylinux2010-gpu"
build:rbe_linux_cuda_nvcc --host_platform="@org_tensorflow//third_party/toolchains:rbe_cuda10.1-cudnn7-ubuntu16.04-manylinux2010"
build:rbe_linux_cuda_nvcc --platforms="@org_tensorflow//third_party/toolchains:rbe_cuda10.1-cudnn7-ubuntu16.04-manylinux2010"
build:rbe_linux_cuda_nvcc --repo_env=TF_CUDA_CONFIG_REPO="@org_tensorflow//third_party/toolchains/preconfig/ubuntu16.04/cuda10.1-cudnn7"
build:rbe_linux_cuda_nvcc --repo_env=TF_TENSORRT_CONFIG_REPO="@org_tensorflow//third_party/toolchains/preconfig/ubuntu16.04/tensorrt6.0"
build:rbe_linux_cuda_nvcc --repo_env=TF_NEED_TENSORRT=1
build:rbe_linux_cuda_nvcc --repo_env=TF_CUDA_VERSION=10
build:rbe_linux_cuda_nvcc --repo_env=TF_CUDNN_VERSION=7
build:rbe_linux_cuda_nvcc --repo_env=REMOTE_GPU_TESTING=1
build:rbe_linux_cuda_nvcc --repo_env=TF_NEED_CUDA=1
build:rbe_linux_cuda_nvcc --define=using_cuda_nvcc=true
test:rbe_linux_cuda_nvcc --test_env=LD_LIBRARY_PATH="/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64"
common:rbe_gpu_linux --config=rbe_linux_cuda_nvcc
build:rbe_linux_py2 --config=rbe_linux
build:rbe_linux_py2 --repo_env=PYTHON_BIN_PATH="/usr/bin/python2"
build:rbe_linux_py2 --python_path="/usr/bin/python2"
build:rbe_linux_py2 --repo_env=TF_PYTHON_CONFIG_REPO="@org_tensorflow//third_party/toolchains/preconfig/ubuntu16.04/py"
build:rbe_linux_py3 --config=rbe_linux
build:rbe_linux_py3 --repo_env=PYTHON_BIN_PATH="/usr/bin/python3"
build:rbe_linux_py3 --python_path="/usr/bin/python3"
build:rbe_linux_py3 --repo_env=TF_PYTHON_CONFIG_REPO="@org_tensorflow//third_party/toolchains/preconfig/ubuntu16.04/py3"
build:rbe_win --config=rbe
build:rbe_win --crosstool_top="@org_tensorflow//third_party/toolchains/preconfig/win_1803/bazel_121:toolchain"
build:rbe_win --extra_execution_platforms="@org_tensorflow//third_party/toolchains/preconfig/win_1803:rbe_windows_1803"
build:rbe_win --extra_toolchains="@org_tensorflow//third_party/toolchains/preconfig/win_1803/bazel_121:cc-toolchain-x64_windows"
build:rbe_win --host_javabase="@org_tensorflow//third_party/toolchains/preconfig/win_1803:windows_jdk8"
build:rbe_win --host_platform="@org_tensorflow//third_party/toolchains/preconfig/win_1803:rbe_windows_1803"
build:rbe_win --javabase="@org_tensorflow//third_party/toolchains/preconfig/win_1803:windows_jdk8"
build:rbe_win --platforms="@org_tensorflow//third_party/toolchains/preconfig/win_1803:rbe_windows_1803"
build:rbe_win --shell_executable=C:\\tools\\msys64\\usr\\bin\\bash.exe
# TODO(gunan): Remove once we use MSVC 2019 with latest patches.
build:rbe_win --define=override_eigen_strong_inline=true
build:rbe_win_py37 --config=rbe
build:rbe_win_py37 --repo_env=PYTHON_BIN_PATH=C:\\Python37\\python.exe
build:rbe_win_py37 --repo_env=PYTHON_LIB_PATH=C:\\Python37\\lib\\site-packages
build:rbe_win_py37 --repo_env=TF_PYTHON_CONFIG_REPO=@org_tensorflow//third_party/toolchains/preconfig/win_1803/py37
build:rbe_win_py37 --python_path=C:\\Python37\\python.exe
# These you may need to change for your own GCP project.
build:tensorflow_testing_rbe --project_id=tensorflow-testing
common:tensorflow_testing_rbe_linux --remote_instance_name=projects/tensorflow-testing/instances/default_instance
build:tensorflow_testing_rbe_linux --config=tensorflow_testing_rbe
build:tensorflow_testing_rbe_linux --config=rbe
build:tensorflow_testing_rbe_linux --config=rbe_linux
common:tensorflow_testing_rbe_win --remote_instance_name=projects/tensorflow-testing/instances/windows
build:tensorflow_testing_rbe_win --config=tensorflow_testing_rbe
build:tensorflow_testing_rbe_win --config=rbe_win
# END TF REMOTE BUILD EXECUTION OPTIONS
# Default options should come above this line
# Options from ./configure
try-import %workspace%/.tf_configure.bazelrc
# Put user-specific options in .bazelrc.user
try-import %workspace%/.bazelrc.user