| # 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_i386: |
| # 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 |
| # rbe_win_py38: Windows Python 3.8 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 |
| |
| # 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_i386 --config=ios |
| build:ios_i386 --cpu=ios_i386 |
| 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,i386,x86_64 |
| |
| # 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 |
| |
| # 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 |
| |
| # 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 |
| build:mkl --define=tensorflow_mkldnn_contraction_kernel=0 |
| build:mkl -c opt |
| |
| # 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_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_mkldnn_contraction_kernel=0 |
| |
| # 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 |
| build:cuda_clang --action_env TF_CUDA_CLANG=1 |
| |
| # 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 |
| |
| 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:ngraph --define=with_ngraph_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: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 |
| |
| # 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 |
| |
| # 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 |
| |
| # Enable using platform specific build settings |
| build --enable_platform_specific_config |
| |
| # Suppress C++ compiler warnings, otherwise build logs become 10s of MBs. |
| build:linux --copt=-w |
| build:macos --copt=-w |
| build:windows --copt=/w |
| |
| # Tensorflow uses M_* math constants that only get defined by MSVC headers if |
| # _USE_MATH_DEFINES is defined. |
| build:windows --copt=/D_USE_MATH_DEFINES |
| |
| # Default paths for TF_SYSTEM_LIBS |
| build:linux --define=PREFIX=/usr |
| build:linux --define=LIBDIR=$(PREFIX)/lib |
| build:linux --define=INCLUDEDIR=$(PREFIX)/include |
| build:macos --define=PREFIX=/usr |
| build:macos --define=LIBDIR=$(PREFIX)/lib |
| build:macos --define=INCLUDEDIR=$(PREFIX)/include |
| # TF_SYSTEM_LIBS do not work on windows. |
| |
| # By default, build TF in C++ 14 mode. |
| 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 |
| |
| # On windows, we still link everything into a single DLL. |
| build:windows --config=monolithic |
| |
| # On linux, we dynamically link small amount of kernels |
| build:linux --config=dynamic_kernels |
| |
| # Make sure to include as little of windows.h as possible |
| build:windows --copt=-DWIN32_LEAN_AND_MEAN |
| build:windows --host_copt=-DWIN32_LEAN_AND_MEAN |
| build:windows --copt=-DNOGDI |
| build:windows --host_copt=-DNOGDI |
| |
| # Misc build options we need for windows. |
| build:windows --linkopt=/DEBUG |
| build:windows --host_linkopt=/DEBUG |
| build:windows --linkopt=/OPT:REF |
| build:windows --host_linkopt=/OPT:REF |
| build:windows --linkopt=/OPT:ICF |
| build:windows --host_linkopt=/OPT:ICF |
| build:windows --experimental_strict_action_env=true |
| |
| # Verbose failure logs when something goes wrong |
| build:windows --verbose_failures |
| |
| # On windows, we never cross compile |
| build:windows --distinct_host_configuration=false |
| |
| # Suppress all warning messages. |
| build:short_logs --output_filter=DONT_MATCH_ANYTHING |
| |
| # 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=v2 |
| test --config=v2 |
| |
| # 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,worker,standalone,local |
| 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_linux --linkopt=-lm |
| |
| 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_nvcc --repo_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_121: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_121: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 |
| |
| # TODO(gunan): Remove once we use MSVC 2019 with latest patches. |
| build:rbe_win --define=override_eigen_strong_inline=true |
| build:rbe_win --jobs=500 |
| |
| 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 |
| |
| build:rbe_win_py38 --config=rbe |
| build:rbe_win_py38 --repo_env=PYTHON_BIN_PATH=C:\\Python38\\python.exe |
| build:rbe_win_py38 --repo_env=PYTHON_LIB_PATH=C:\\Python38\\lib\\site-packages |
| build:rbe_win_py38 --repo_env=TF_PYTHON_CONFIG_REPO=@org_tensorflow//third_party/toolchains/preconfig/win_1803/py38 |
| build:rbe_win_py38 --python_path=C:\\Python38\\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=projects/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 |
