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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.
#
# 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
# TODO: TFDML #26406693
# These options were removed in upstream 1.15.2, so we should remove our WSL build
# dependency on these config options.
build:download_clang --crosstool_top=@local_config_download_clang//:toolchain
build:download_clang --define=using_clang=true
build:download_clang --action_env TF_DOWNLOAD_CLANG=1
# Instruct clang to use LLD for linking.
# This only works with GPU builds currently, since Bazel sets -B/usr/bin in
# auto-generated CPU crosstool, forcing /usr/bin/ld.lld to be preferred over
# the downloaded one.
build:download_clang_use_lld --linkopt='-fuse-ld=lld'
# Config for building with DirectML
build:dml --define=using_dml=true
build:dml --copt -DTENSORFLOW_USE_DIRECTML
build:dml_telemetry --copt -DDIRECTML_ENABLE_TELEMETRY
# 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
# 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
# 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
# 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