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- # This file is based on tensorflow's (v2.2.0) .bazelrc found here:
- # https://github.com/tensorflow/tensorflow/blob/v2.2.0/.bazelrc
- # Sets the default Apple platform to macOS.
- build:macos --apple_platform_type=macos
- # Flag to enable remote config. Required starting from TF 2.2.
- common --experimental_repo_remote_exec
- # 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
- # Suppress C++ compiler warnings, otherwise build logs become 10s of MBs.
- build:android --copt=-w
- build:linux --copt=-w
- build:macos --copt=-w
- build:windows --copt=/w
- # Android workspace configurations. Should be replaced by an interative configure in the future.
- build --action_env ANDROID_NDK_HOME
- build --action_env ANDROID_NDK_API_LEVEL
- build --action_env ANDROID_BUILD_TOOLS_VERSION
- build --action_env ANDROID_SDK_API_LEVEL
- build --action_env ANDROID_SDK_HOME
- # 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
- # 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_x86_64 --config=ios
- build:ios_x86_64 --cpu=ios_x86_64
- build:ios_fat --config=ios
- build:ios_fat --ios_multi_cpus=arm64,x86_64
- # TFLite build configs for generic embedded Linux
- build:elinux --crosstool_top=@local_config_embedded_arm//:toolchain
- build:elinux --host_crosstool_top=@bazel_tools//tools/cpp:toolchain
- build:elinux_aarch64 --config=elinux
- build:elinux_aarch64 --cpu=aarch64
- build:elinux_aarch64 --distinct_host_configuration=true
- build:elinux_armhf --config=elinux
- build:elinux_armhf --cpu=armhf
- build:elinux_armhf --distinct_host_configuration=true
- build:elinux_armhf --copt -mfp16-format=ieee
- # By default, build TF in C++ 14 mode.
- build:android --cxxopt=-std=c++14
- build:android --host_cxxopt=-std=c++14
- build:ios --cxxopt=-std=c++14
- build:ios --host_cxxopt=-std=c++14
- 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
- # 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
- # ASAN build
- build:asan --strip=never
- build:asan --copt -fsanitize=address
- build:asan --copt -DADDRESS_SANITIZER
- build:asan --copt -O1
- build:asan --copt -g
- build:asan --copt -fno-omit-frame-pointer
- build:asan --linkopt -fsanitize=address
- # 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
- # AWS SDK must be compiled in release mode. see: https://github.com/tensorflow/tensorflow/issues/37498
- build:dbg --copt -DDEBUG_BUILD
- build --define=use_fast_cpp_protos=true
- build --define=allow_oversize_protos=true
- # TF uses `standalone`, which is deprecated.
- build --spawn_strategy=local
- 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
- # 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, except when cross-compiling for
- # mobile platforms.
- build --enable_platform_specific_config
- build:android --noenable_platform_specific_config
- build:ios --noenable_platform_specific_config
- # Suppress all warning messages.
- build:short_logs --output_filter=DONT_MATCH_ANYTHING
- build:verbose_logs --output_filter=
- build --config=short_logs
- # 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
- # Put user-specific options in .bazelrc.user
- try-import %workspace%/.bazelrc.user
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