.bazelrc - platform/external/tflite-support - Git at Google

 # 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 --apple_platform_type=macos

 # Enable using platform specific build settings
 build --enable_platform_specific_config

 # 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=armv7,arm64,x86_64

 # 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

 # Flags for open source build, always set to be true.
 build --define open_source_build=true
 test --define open_source_build=true

 # 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

 build --spawn_strategy=standalone
 build -c opt

 # Adding "--cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0" creates parity with TF
 # compilation options. It also addresses memory use due to
 # copy-on-write semantics of std::strings of the older ABI.
 build --cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0

 # 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

 # These are bazel 2.0's incompatible flags. Tensorflow needs to use bazel 2.0.0
 # to use cc_shared_library, as part of the Tensorflow Build Improvements RFC:
 # https://github.com/tensorflow/community/pull/179
 build --noincompatible_prohibit_aapt1

 # 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

 # Options from ./configure
 try-import %workspace%/.tf_configure.bazelrc

 # Put user-specific options in .bazelrc.user
 try-import %workspace%/.bazelrc.user
	# 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 --apple_platform_type=macos

	# Enable using platform specific build settings
	build --enable_platform_specific_config

	# 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=armv7,arm64,x86_64

	# 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

	# Flags for open source build, always set to be true.
	build --define open_source_build=true
	test --define open_source_build=true

	# 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

	build --spawn_strategy=standalone
	build -c opt

	# Adding "--cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0" creates parity with TF
	# compilation options. It also addresses memory use due to
	# copy-on-write semantics of std::strings of the older ABI.
	build --cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0

	# 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

	# These are bazel 2.0's incompatible flags. Tensorflow needs to use bazel 2.0.0
	# to use cc_shared_library, as part of the Tensorflow Build Improvements RFC:
	# https://github.com/tensorflow/community/pull/179
	build --noincompatible_prohibit_aapt1

	# 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

	# Options from ./configure
	try-import %workspace%/.tf_configure.bazelrc

	# Put user-specific options in .bazelrc.user
	try-import %workspace%/.bazelrc.user