.bazelrc

# Optimizations used for TF Serving release builds.
build:release --copt=-mavx
build:release --copt=-msse4.2

# Options used to build with CUDA.
build:cuda --repo_env TF_NEED_CUDA=1
build:cuda --crosstool_top=@local_config_cuda//crosstool:toolchain
build:cuda --@local_config_cuda//:enable_cuda
build:cuda --define=using_cuda=true --define=using_cuda_nvcc=true
build:cuda --action_env=TF_CUDA_COMPUTE_CAPABILITIES="sm_35,sm_50,sm_60,sm_70,sm_75,compute_80"

# Options used to build with TPU support.
build:tpu --define=with_tpu_support=true --define=framework_shared_object=false
build:tpu --copt=-DLIBTPU_ON_GCE

# 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 --define=build_with_openmp=false
build:mkl --define=tensorflow_mkldnn_contraction_kernel=0

# 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=true --define=enable_mkl=true
build:mkl_open_source_only --define=tensorflow_mkldnn_contraction_kernel=0

# Config setting to build oneDNN with Compute Library for the Arm Architecture (ACL).
# This build is for the inference regime only.
build:mkl_aarch64 --define=build_with_mkl_aarch64=true --define=enable_mkl=true
build:mkl_aarch64 --define=tensorflow_mkldnn_contraction_kernel=0
build:mkl_aarch64 --define=build_with_mkl_opensource=true
build:mkl_aarch64 --define=build_with_openmp=true
build:mkl_aarch64 --copt=-march=armv8.2-a
build:mkl_aarch64 --copt=-O3

# Processor native optimizations (depends on build host capabilities).
build:nativeopt --copt=-march=native
build:nativeopt --host_copt=-march=native
build:nativeopt --copt=-O3

build --keep_going
build --verbose_failures=true
build --spawn_strategy=standalone
build --genrule_strategy=standalone

build --define=grpc_no_ares=true

# Sets the default Apple platform to macOS.
build --apple_platform_type=macos

build -c opt

# LLVM, MLIR and TF requires C++17.
build --cxxopt=-std=c++17
build --host_cxxopt=-std=c++17

# 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

build --workspace_status_command=/proc/self/cwd/tools/gen_status_stamp.sh

build --experimental_repo_remote_exec

# TF now has `cc_shared_library` targets, so it needs the experimental flag
build --experimental_cc_shared_library

# Yggdrasil Decision Forests (internal library of TensorFlow Decision Forests)
# uses TensorFlow for all IO operations.
build --define=use_tensorflow_io=1

# TensorFlow Decision Forests does not use Absl StatusOr.
# Reason: The version of Absl included by TensorFlow lacks support for StatusOr.
build --define no_absl_statusor=1

# TensorFlow Decision Forests does not use Absl concurrency primitives on MacOs.
# Reason: TensorFlow/ABSL ODR violation (b/214189609) # copybara:strip
build:macos --define std_synchronization_primitives=1