171 lines
6.3 KiB
Plaintext
171 lines
6.3 KiB
Plaintext
# This file is based on tensorflow's (v2.2.0) .bazelrc found here:
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# https://github.com/tensorflow/tensorflow/blob/v2.2.0/.bazelrc
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# Sets the default Apple platform to macOS.
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build --apple_platform_type=macos
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# Enable using platform specific build settings
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build --enable_platform_specific_config
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# Flag to enable remote config. Required starting from TF 2.2.
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common --experimental_repo_remote_exec
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# For workaround https://github.com/bazelbuild/bazel/issues/8772 with Bazel >= 0.29.1
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build --java_toolchain=//third_party/toolchains/java:tf_java_toolchain
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build --host_java_toolchain=//third_party/toolchains/java:tf_java_toolchain
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# Suppress C++ compiler warnings, otherwise build logs become 10s of MBs.
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build:android --copt=-w
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build:linux --copt=-w
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build:macos --copt=-w
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build:windows --copt=/w
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# Android workspace configurations. Should be replaced by an interative configure in the future.
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build --action_env ANDROID_NDK_HOME
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build --action_env ANDROID_NDK_API_LEVEL
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build --action_env ANDROID_BUILD_TOOLS_VERSION
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build --action_env ANDROID_SDK_API_LEVEL
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build --action_env ANDROID_SDK_HOME
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# Android configs. Bazel needs to have --cpu and --fat_apk_cpu both set to the
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# target CPU to build transient dependencies correctly. See
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# https://docs.bazel.build/versions/master/user-manual.html#flag--fat_apk_cpu
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build:android --crosstool_top=//external:android/crosstool
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build:android --host_crosstool_top=@bazel_tools//tools/cpp:toolchain
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build:android_arm --config=android
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build:android_arm --cpu=armeabi-v7a
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build:android_arm --fat_apk_cpu=armeabi-v7a
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build:android_arm64 --config=android
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build:android_arm64 --cpu=arm64-v8a
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build:android_arm64 --fat_apk_cpu=arm64-v8a
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build:android_x86 --config=android
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build:android_x86 --cpu=x86
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build:android_x86 --fat_apk_cpu=x86
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build:android_x86_64 --config=android
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build:android_x86_64 --cpu=x86_64
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build:android_x86_64 --fat_apk_cpu=x86_64
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# iOS configs for each architecture and the fat binary builds.
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build:ios --apple_platform_type=ios
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build:ios --apple_bitcode=embedded --copt=-fembed-bitcode
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build:ios --copt=-Wno-c++11-narrowing
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build:ios_armv7 --config=ios
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build:ios_armv7 --cpu=ios_armv7
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build:ios_arm64 --config=ios
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build:ios_arm64 --cpu=ios_arm64
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build:ios_x86_64 --config=ios
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build:ios_x86_64 --cpu=ios_x86_64
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build:ios_fat --config=ios
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build:ios_fat --ios_multi_cpus=armv7,arm64,x86_64
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# By default, build TF in C++ 14 mode.
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build:android --cxxopt=-std=c++14
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build:android --host_cxxopt=-std=c++14
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build:ios --cxxopt=-std=c++14
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build:ios --host_cxxopt=-std=c++14
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build:linux --cxxopt=-std=c++14
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build:linux --host_cxxopt=-std=c++14
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build:macos --cxxopt=-std=c++14
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build:macos --host_cxxopt=-std=c++14
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build:windows --cxxopt=/std:c++14
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build:windows --host_cxxopt=/std:c++14
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# Config to use a mostly-static build and disable modular op registration
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# support (this will revert to loading TensorFlow with RTLD_GLOBAL in Python).
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# By default, TensorFlow will build with a dependence on
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# //tensorflow:libtensorflow_framework.so.
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build:monolithic --define framework_shared_object=false
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# For projects which use TensorFlow as part of a Bazel build process, putting
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# nothing in a bazelrc will default to a monolithic build. The following line
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# opts in to modular op registration support by default.
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build --define framework_shared_object=true
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# ASAN build
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build:asan --strip=never
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build:asan --copt -fsanitize=address
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build:asan --copt -DADDRESS_SANITIZER
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build:asan --copt -O1
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build:asan --copt -g
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build:asan --copt -fno-omit-frame-pointer
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build:asan --linkopt -fsanitize=address
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# Flags for open source build, always set to be true.
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build --define open_source_build=true
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test --define open_source_build=true
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# dbg config, as a shorthand for '--config=opt -c dbg'
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build:dbg --config=opt -c dbg
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# for now, disable arm_neon. see: https://github.com/tensorflow/tensorflow/issues/33360
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build:dbg --cxxopt -DTF_LITE_DISABLE_X86_NEON
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# AWS SDK must be compiled in release mode. see: https://github.com/tensorflow/tensorflow/issues/37498
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build:dbg --copt -DDEBUG_BUILD
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build --define=use_fast_cpp_protos=true
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build --define=allow_oversize_protos=true
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build --spawn_strategy=standalone
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build -c opt
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# Adding "--cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0" creates parity with TF
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# compilation options. It also addresses memory use due to
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# copy-on-write semantics of std::strings of the older ABI.
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build --cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0
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# Make Bazel print out all options from rc files.
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build --announce_rc
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# Other build flags.
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build --define=grpc_no_ares=true
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# See https://github.com/bazelbuild/bazel/issues/7362 for information on what
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# --incompatible_remove_legacy_whole_archive flag does.
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# This flag is set to true in Bazel 1.0 and newer versions. We tried to migrate
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# Tensorflow to the default, however test coverage wasn't enough to catch the
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# errors.
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# There is ongoing work on Bazel team's side to provide support for transitive
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# shared libraries. As part of migrating to transitive shared libraries, we
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# hope to provide a better mechanism for control over symbol exporting, and
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# then tackle this issue again.
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#
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# TODO: Remove this line once TF doesn't depend on Bazel wrapping all library
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# archives in -whole_archive -no_whole_archive.
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build --noincompatible_remove_legacy_whole_archive
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# These are bazel 2.0's incompatible flags. Tensorflow needs to use bazel 2.0.0
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# to use cc_shared_library, as part of the Tensorflow Build Improvements RFC:
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# https://github.com/tensorflow/community/pull/179
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build --noincompatible_prohibit_aapt1
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# Build TF with C++ 17 features.
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build:c++17 --cxxopt=-std=c++1z
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build:c++17 --cxxopt=-stdlib=libc++
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build:c++1z --config=c++17
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# Enable using platform specific build settings, except when cross-compiling for
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# mobile platforms.
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build --enable_platform_specific_config
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build:android --noenable_platform_specific_config
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build:ios --noenable_platform_specific_config
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# Suppress all warning messages.
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build:short_logs --output_filter=DONT_MATCH_ANYTHING
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build:verbose_logs --output_filter=
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build --config=short_logs
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# Options to build TensorFlow 1.x or 2.x.
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build:v1 --define=tf_api_version=1
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build:v2 --define=tf_api_version=2
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build:v1 --action_env=TF2_BEHAVIOR=0
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build:v2 --action_env=TF2_BEHAVIOR=1
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build --config=v2
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test --config=v2
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# Options from ./configure
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try-import %workspace%/.tf_configure.bazelrc
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# Put user-specific options in .bazelrc.user
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try-import %workspace%/.bazelrc.user
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