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.bazelrc
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# 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_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
# 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
# Please note that OneDNN on MacOS or windows is still not supported.
# If you would like to use a local OneDNN 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_dnnl_contraction_kernel=0
build:mkl -c opt --copt=-O3
# config to build OneDNN backend with a user specified threadpool.
build:mkl_threadpool --define=build_with_mkl=true --define=enable_mkl=true
build:mkl_threadpool --define=tensorflow_dnnl_contraction_kernel=0
build:mkl_threadpool --define=build_with_mkl_opensource=true
build:mkl_threadpool --define=build_with_mkldnn_threadpool=true
build:mkl_threadpool -c opt --copt=-O3
# Config setting to build with oneDNN and without the binary blob
build:mkl_opensource_only --define=build_with_mkl=true --define=enable_mkl=true
build:mkl_opensource_only --define=tensorflow_dnnl_contraction_kernel=0
build:mkl_opensource_only --define=build_with_mkl_opensource=true
build:mkl_opensource_only -c opt --copt=-O3
# This config option is used to enable OneDNN open source library only,
# without depending on OneDNN 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_dnnl_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
build:mkl_aarch64 --define=tensorflow_mkldnn_contraction_kernel=0
build:mkl_aarch64 --define=build_with_openmp=true
build:mkl_aarch64 -c opt
# 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
# 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: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:gdr --define=with_gdr_support=true
build:ngraph --define=with_ngraph_support=true
build:verbs --define=with_verbs_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:nokafka --define=no_kafka_support=true
build:noignite --define=no_ignite_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 --copt=-O3
# Make Bazel print out all options from rc files.
build --announce_rc
# Other build flags.
build --define=grpc_no_ares=true
# 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
# Default paths for TF_SYSTEM_LIBS
build --define=PREFIX=/usr
build --define=LIBDIR=$(PREFIX)/lib
build --define=INCLUDEDIR=$(PREFIX)/include
# Suppress C++ compiler warnings, otherwise build logs become 10s of MBs.
build --copt=-w
# Suppress all warning messages.
build:short_logs --output_filter=DONT_MATCH_ANYTHING
# By default, build TF in C++ 14 mode.
build --cxxopt=-std=c++14
build --host_cxxopt=-std=c++14
# 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=v1
test --config=v1
# 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
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_nvccrepoo_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_026: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_026: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
# Misc build options we need for windows
build:rbe_win --copt=-DWIN32_LEAN_AND_MEAN
build:rbe_win --host_copt=-DWIN32_LEAN_AND_MEAN
build:rbe_win --copt=-DNOGDI
build:rbe_win --host_copt=-DNOGDI
build:rbe_win --linkopt=/DEBUG
build:rbe_win --host_linkopt=/DEBUG
build:rbe_win --linkopt=/OPT:REF
build:rbe_win --host_linkopt=/OPT:REF
build:rbe_win --linkopt=/OPT:ICF
build:rbe_win --host_linkopt=/OPT:ICF
build:rbe_win --config=monolithic
build:rbe_win --experimental_strict_action_env=true
build:rbe_win --incompatible_windows_native_test_wrapper
# 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=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