# TensorFlow Bazel configuration file.

# This file tries to group and simplify build options for TensorFlow

#

# ----CONFIG OPTIONS----

# Android options:

# android:

# android_arm:

# android_arm64:

# android_x86:

# android_x86_64:

#

# iOS options:

# ios:

# ios_armv7:

# ios_arm64:

# ios_x86_64:

# ios_fat:

#

# Macosx options

# darwin_arm64:

#

# Compiler options:

# cuda_clang: Use Clang when building CUDA code.

# avx_linux: Build with avx instruction set on linux.

# avx_win: Build with avx instruction set on windows

#

# Other build options:

# short_logs: Only log errors during build, skip warnings.

# verbose_logs: Show all compiler warnings during build.

# monolithic: Build all TF C++ code into a single shared object.

# dynamic_kernels: Try to link all kernels dynamically (experimental).

# dbg: Build with debug info

#

# TF version options;

# v2: Build TF v2

#

# Feature and Third party library support options:

# xla: Build TF with XLA

# tpu: Build TF with TPU support

# cuda: Build with CUDA support.

# cuda_clang Build with CUDA Clang support.

# rocm: Build with AMD GPU support (rocm)

# mkl: Enable full mkl support.

# nogcp: Disable GCS support.

# nonccl: Disable nccl support.

#

#

# Remote build execution options (only configured to work with TF team projects for now.)

# rbe_base: General RBE options shared by all flavors.

# rbe_linux: General RBE options used on all linux builds.

# rbe_win_base: General RBE options used on all Windows builds. Not to be used standalone.

# rbe_windows_x86_cpu_2022: Windows-specific RBE options.

#

# rbe_linux_cpu: RBE options to build with only CPU support.

# rbe_linux_cuda: RBE options to build with GPU support using clang.

# rbe_linux_cuda_nvcc: RBE options to build with GPU support using nvcc.

#

# Embedded Linux options (experimental and only tested with TFLite build yet)

# elinux: General Embedded Linux options shared by all flavors.

# elinux_aarch64: Embedded Linux options for aarch64 (ARM64) CPU support.

# elinux_armhf: Embedded Linux options for armhf (ARMv7) CPU support.

#

# Release build options (for all operating systems)

# release_base: Common options for all builds on all operating systems.

# release_cpu_linux: Toolchain and CUDA options for Linux CPU builds.

# release_gpu_linux: Toolchain and CUDA options for Linux GPU builds.

# release_cpu_macos: Toolchain and CUDA options for MacOS CPU builds.

# release_cpu_windows: Toolchain and CUDA options for Windows CPU builds.

# LINT.IfChange

# Default build options. These are applied first and unconditionally.

# These are used to generate the ML wheel version string.

# See the explanation in the file comment of

# @xla//third_party/py/python_wheel.bzl.

# The generated version suffix is used in

# third_party/tensorflow/core/public/release_version.h and

# third_party/tensorflow/tools/pip_package/setup.oss.py.tpl

common --repo_env=ML_WHEEL_TYPE="snapshot"

common --repo_env=ML_WHEEL_BUILD_DATE=""

common --repo_env=ML_WHEEL_VERSION_SUFFIX=""

common --incompatible_default_to_explicit_init_py

# 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.

common --define framework_shared_object=true

common --define tsl_protobuf_header_only=true

common --define=allow_oversize_protos=true

common --spawn_strategy=standalone

common -c opt

common --repo_env=USE_PYWRAP_RULES=True

common --copt=-DGRPC_BAZEL_BUILD

common --host_copt=-DGRPC_BAZEL_BUILD

common --action_env=GRPC_BAZEL_RUNTIME=1

common --repo_env=PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=upb

common --action_env=PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=upb

# Some targets have the same py source file, but use different

# configurations via `requires-` tags. This results in an action

# conflict when precompiling. Disable to avoid that problem.

# See https://github.com/bazel-contrib/rules_python/issues/2445

common --@rules_python//python/config_settings:precompile=force_disabled

common --@rules_python//python/config_settings:bootstrap_impl=script --repo_env=RULES_PYTHON_ENABLE_PIPSTAR=0

# Do not do this. If enabled protobuf's core internal target

# @com_google_protobuf//python:protobuf_python will start depending on a bunch

# of cc_binary shared libraries artifacts, which will mess with how we link

# protobuf dependencies ourselves. By default this value is false, but some

# projects enable it, which we don't want here.

# common --define=use_fast_cpp_protos=true

# Make Bazel print out all options from rc files.

common --announce_rc

# TODO(mihaimaruseac): Document this option or remove if no longer needed

common --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 the following two lines once TF doesn't depend on Bazel wrapping

# all library archives in -whole_archive -no_whole_archive.

common --noincompatible_remove_legacy_whole_archive

common --features=-force_no_whole_archive

common --host_features=-force_no_whole_archive

# TODO(mihaimaruseac): Document this option or remove if no longer needed

common --enable_platform_specific_config

# Enable XLA support by default.

common --define=with_xla_support=true

# TODO(mihaimaruseac): Document this option or remove if no longer needed

common --config=short_logs

# TODO(mihaimaruseac): Document this option or remove if no longer needed

common --config=v2

# Precompiling results in some action conflicts. Disable it for now until

# the problematic targets are fixed.

common --@rules_python//python/config_settings:precompile=force_disabled

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

# TODO(rostam): Remove when `cc_shared_library` is enabled by default

common --experimental_cc_shared_library

# cc_shared_library ensures no library is linked statically more than once.

common --experimental_link_static_libraries_once=false

# Prevent regressions on those two incompatible changes

# TODO: remove those flags when they are flipped in the default Bazel version TF uses.

common --incompatible_enforce_config_setting_visibility

# TODO: also enable this flag after fixing the visibility violations

# common --incompatible_config_setting_private_default_visibility

# TODO: Enable Bzlmod

common --noenable_bzlmod

common --enable_workspace

common --incompatible_enable_cc_toolchain_resolution

common --repo_env USE_HERMETIC_CC_TOOLCHAIN=1

# TODO: Migrate for https://github.com/bazelbuild/bazel/issues/7260

common:clang_local --noincompatible_enable_cc_toolchain_resolution

common:clang_local --noincompatible_enable_android_toolchain_resolution

common:clang_local --@rules_ml_toolchain//common:enable_hermetic_cc=False

common:clang_local --repo_env USE_HERMETIC_CC_TOOLCHAIN=0

# Print a stacktrace when a test is killed

test --test_env="GTEST_INSTALL_FAILURE_SIGNAL_HANDLER=1"

# Default options should come above this line.

# Enable bzlmod

common:bzlmod --enable_bzlmod --noenable_workspace

# 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

common:android --config=clang_local

common:android --crosstool_top=//external:android/crosstool

common:android --host_crosstool_top=@bazel_tools//tools/cpp:toolchain

common:android_arm --config=android

common:android_arm --cpu=armeabi-v7a

common:android_arm --fat_apk_cpu=armeabi-v7a

common:android_arm --platforms=@org_tensorflow//tensorflow/tools/toolchains/android:armeabi-v7a

common:android_arm64 --config=android

common:android_arm64 --cpu=arm64-v8a

common:android_arm64 --fat_apk_cpu=arm64-v8a

common:android_arm64 --platforms=@org_tensorflow//tensorflow/tools/toolchains/android:arm64-v8a

common:android_x86 --config=android

common:android_x86 --cpu=x86

common:android_x86 --fat_apk_cpu=x86

common:android_x86 --platforms=@org_tensorflow//tensorflow/tools/toolchains/android:x86

common:android_x86_64 --config=android

common:android_x86_64 --cpu=x86_64

common:android_x86_64 --fat_apk_cpu=x86_64

common:android_x86_64 --platforms=@org_tensorflow//tensorflow/tools/toolchains/android:x86_64

# Build everything statically for Android since all static libs are later

# bundled together into a single .so for deployment.

common:android --dynamic_mode=off

# TODO(belitskiy): Remove once on Clang 20.

common:android --define=xnn_enable_avxvnniint8=false

# Sets the default Apple platform to macOS.

common:macos --apple_platform_type=macos

# gRPC on MacOS requires this #define

common:macos --copt=-DGRPC_BAZEL_BUILD

# Avoid hitting command line argument limit

common:macos --features=archive_param_file

# TODO: Fix deps to remove this flag, see https://github.com/bazelbuild/bazel/pull/16414

common:macos --linkopt=-Wl,-undefined,dynamic_lookup

common:macos --host_linkopt=-Wl,-undefined,dynamic_lookup

# Use the old Apple toolchain for MacOS builds.

common:macos --config=clang_local

common:macos --config=apple-toolchain

# Use cc toolchains from apple_support for Apple builds (ios, macos, etc).

# https://github.com/bazelbuild/apple_support/tree/master?tab=readme-ov-file#bazel-6-setup

common:apple-toolchain --apple_crosstool_top=@local_config_apple_cc//:toolchain

common:apple-toolchain --crosstool_top=@local_config_apple_cc//:toolchain

common:apple-toolchain --host_crosstool_top=@local_config_apple_cc//:toolchain

# Settings for MacOS on ARM CPUs.

common:macos_arm64 --cpu=darwin_arm64

common:macos_arm64 --macos_minimum_os=11.0

common:macos_arm64 --config=clang_local

common:macos_arm64 --platforms=@build_bazel_apple_support//platforms:darwin_arm64

# iOS configs for each architecture and the fat binary builds.

common:ios --apple_platform_type=ios

common:ios --copt=-fembed-bitcode

common:ios --copt=-Wno-c++11-narrowing

common:ios --config=clang_local

common:ios --config=apple-toolchain

common:ios_armv7 --config=ios

common:ios_armv7 --cpu=ios_armv7

common:ios_armv7 --platforms=@org_tensorflow//tensorflow/tools/toolchains/ios:ios_armv7

common:ios_arm64 --config=ios

common:ios_arm64 --cpu=ios_arm64

common:ios_arm64 --platforms=@build_bazel_apple_support//platforms:ios_arm64

common:ios_arm64e --config=ios

common:ios_arm64e --cpu=ios_arm64e

common:ios_arm64e --platforms=@build_bazel_apple_support//platforms:ios_arm64e

common:ios_sim_arm64 --config=ios

common:ios_sim_arm64 --cpu=ios_sim_arm64

common:ios_sim_arm64 --platforms=@build_bazel_apple_support//platforms:ios_sim_arm64

common:ios_x86_64 --config=ios

common:ios_x86_64 --cpu=ios_x86_64

common:ios_x86_64 --platforms=@build_bazel_apple_support//platforms:ios_x86_64

common:ios_fat --config=ios

common: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.

common:monolithic --define framework_shared_object=false

common:monolithic --define tsl_protobuf_header_only=false

common:monolithic --experimental_link_static_libraries_once=false # b/229868128

# Please note that MKL on MacOS 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.

common:mkl --define=build_with_mkl=true --define=enable_mkl=true

common:mkl --define=tensorflow_mkldnn_contraction_kernel=0

common:mkl --define=build_with_openmp=true

common:mkl -c opt

# config to build OneDNN backend with a user specified threadpool.

common:mkl_threadpool --define=build_with_mkl=true --define=enable_mkl=true

common:mkl_threadpool --define=tensorflow_mkldnn_contraction_kernel=0

common:mkl_threadpool --define=build_with_mkl_opensource=true

common:mkl_threadpool -c opt

# Config setting to build oneDNN with Compute Library for the Arm Architecture (ACL).

# with Eigen threadpool support

common:mkl_aarch64_threadpool --define=build_with_mkl_aarch64=true

common:mkl_aarch64_threadpool --@compute_library//:openmp=false

common:mkl_aarch64_threadpool -c opt

# This is an alias for the mkl_aarch64_threadpool build.

common:mkl_aarch64 --config=mkl_aarch64_threadpool

# Default CUDA, CUDNN, NCCL and NVSHMEM versions.

common:cuda_version --repo_env=HERMETIC_CUDA_VERSION="12.5.1"

common:cuda_version --repo_env=HERMETIC_CUDNN_VERSION="9.3.0"

common:cuda_version --repo_env=HERMETIC_NVSHMEM_VERSION="3.2.5"

common:cuda_version --repo_env=HERMETIC_NCCL_VERSION="2.27.7"

# CUDA: This config refers to building CUDA op kernels with nvcc.

common:cuda --repo_env TF_NEED_CUDA=1

common:cuda --@local_config_cuda//:enable_cuda

common:cuda --config=cuda_version

# This flag is needed to include CUDA libraries.

common:cuda --@local_config_cuda//cuda:include_cuda_libs=true

# This configuration is used for building the wheels.

common:cuda_wheel --@local_config_cuda//cuda:include_cuda_libs=false

common:hermetic_cuda_umd --@cuda_driver//:include_cuda_umd_libs=true

# CUDA: This config refers to building CUDA op kernels with clang.

common:cuda_clang --config=cuda

common:cuda_clang --@local_config_cuda//:cuda_compiler=clang

common:cuda_clang --copt=-Qunused-arguments

# Select supported compute capabilities (supported graphics cards).

# This is the same as the official TensorFlow builds.

# See https://developer.nvidia.com/cuda-gpus#compute

# `compute_XY` enables PTX embedding in addition to SASS. PTX

# is forward compatible beyond the current compute capability major

# release while SASS is only forward compatible inside the current

# major release. Example: sm_80 kernels can run on sm_89 GPUs but

# not on sm_90 GPUs. compute_80 kernels though can also run on sm_90 GPUs.

common:cuda_clang --repo_env=HERMETIC_CUDA_COMPUTE_CAPABILITIES="sm_60,sm_70,sm_80,sm_89,compute_90"

# Permit newer CUDA versions than Clang is aware of

common:cuda_clang --copt="-Wno-unknown-cuda-version"

# Set lld as the linker.

common:cuda_clang --host_linkopt="-fuse-ld=lld"

common:cuda_clang --host_linkopt="-lm"

common:cuda_clang --linkopt="-fuse-ld=lld"

common:cuda_clang --linkopt="-lm"

# Set up compilation CUDA version and paths and use the CUDA Clang toolchain.

common:cuda_clang_official --config=cuda_clang

common:cuda_clang_official --config=cuda_version

# Build with nvcc for CUDA and clang for host

common:cuda_nvcc --config=cuda

common:cuda_nvcc --action_env=TF_NVCC_CLANG="1"

common:cuda_nvcc --@local_config_cuda//:cuda_compiler=nvcc

# Old config for backward compatibility

common:nvcc_clang --config=cuda_nvcc

# Debug config

common:dbg -c dbg

# Only include debug info for files under tensorflow/, excluding kernels, to

# reduce the size of the debug info in the binary. This is because if the debug

# sections in the ELF binary are too large, errors can occur. See

# https://github.com/tensorflow/tensorflow/issues/48919.

# Users can still include debug info for a specific kernel, e.g. with:

# --config=dbg --per_file_copt=+tensorflow/core/kernels/identity_op.*@-g

# Since this .bazelrc file is synced between the tensorflow/tensorflow repo and

# the openxla/xla repo, also include debug info for files under xla/.

common:dbg --per_file_copt=+.*,-tensorflow.*,-xla.*@-g0

common:dbg --per_file_copt=+tensorflow/core/kernels.*@-g0

# for now, disable arm_neon. see: https://github.com/tensorflow/tensorflow/issues/33360

common:dbg --cxxopt -DTF_LITE_DISABLE_X86_NEON

# AWS SDK must be compiled in release mode. see: https://github.com/tensorflow/tensorflow/issues/37498

common:dbg --copt -DDEBUG_BUILD

# Config to build TF TPU

common:tpu --define=with_tpu_support=true

common:tpu --define=framework_shared_object=true

common:tpu --copt=-DLIBTPU_ON_GCE

common:tpu --define=enable_mlir_bridge=true

common:rocm --copt=-Wno-gnu-offsetof-extensions

common:rocm --config=clang_local

common:rocm --crosstool_top=@local_config_rocm//crosstool:toolchain

common:rocm --define=using_rocm_hipcc=true

common:rocm --define=tensorflow_mkldnn_contraction_kernel=0

common:rocm --define=xnn_enable_avxvnniint8=false

common:rocm --define=xnn_enable_avx512fp16=false

common:rocm --repo_env TF_NEED_ROCM=1

common:rocm_clang_official --config=rocm

common:rocm_clang_official --action_env=CLANG_COMPILER_PATH="/usr/lib/llvm-18/bin/clang"

common:rocm_clang_official --action_env=TF_ROCM_CLANG="1"

common:rocm_clang_official --linkopt="-fuse-ld=lld"

common:rocm_clang_official --host_linkopt="-fuse-ld=lld"

common:rocm_ci --config=rocm_clang_official

common:rocm_ci_hermetic --config=rocm_clang_official

common:rocm_ci_hermetic --repo_env="OS=ubuntu_22.04"

common:rocm_ci_hermetic --repo_env="ROCM_VERSION=6.2.0"

common:rocm_ci_hermetic --@local_config_rocm//rocm:use_rocm_hermetic_rpath=True

common:sycl --config=clang_local

common:sycl --crosstool_top=@local_config_sycl//crosstool:toolchain

common:sycl --define=using_sycl=true

common:sycl --define=tensorflow_mkldnn_contraction_kernel=0

common:sycl --repo_env TF_NEED_SYCL=1

# Options to disable default on features

common:nogcp --define=no_gcp_support=true

common:nonccl --define=no_nccl_support=true

# Modular TF build options

common:dynamic_kernels --define=dynamic_loaded_kernels=true

common:dynamic_kernels --copt=-DAUTOLOAD_DYNAMIC_KERNELS

# Don't trigger --config=<host platform> when cross-compiling.

common:android --noenable_platform_specific_config

common:ios --noenable_platform_specific_config

# Suppress all C++ compiler warnings, otherwise build logs become 10s of MBs.

common:android --copt=-w

common:ios --copt=-w

common:linux --host_copt=-w

common:macos --copt=-w

common:windows --copt=/W0

common:windows --host_copt=/W0

# Suppress most C++ compiler warnings to reduce log size but allow

# for specific warnings to still be present.

common:linux --copt="-Wno-all"

common:linux --copt="-Wno-extra"

common:linux --copt="-Wno-deprecated"

common:linux --copt="-Wno-deprecated-declarations"

common:linux --copt="-Wno-ignored-attributes"

common:linux --copt="-Wno-array-bounds"

# Add unused-result as an error on Linux.

common:linux --copt="-Wunused-result"

common:linux --copt="-Werror=unused-result"

# Add switch as an error on Linux.

common:linux --copt="-Wswitch"

common:linux --copt="-Werror=switch"

# Linux ARM64 specific options

common:linux_arm64 --copt="-mtune=generic" --copt="-march=armv8-a" --copt="-O3"

# On Windows, `__cplusplus` is wrongly defined without this switch

# See https://devblogs.microsoft.com/cppblog/msvc-now-correctly-reports-__cplusplus/

common:windows --copt=/Zc:__cplusplus

common:windows --host_copt=/Zc:__cplusplus

# Tensorflow uses M_* math constants that only get defined by MSVC headers if

# _USE_MATH_DEFINES is defined.

common:windows --copt=/D_USE_MATH_DEFINES

common:windows --host_copt=/D_USE_MATH_DEFINES

# Windows has a relatively short command line limit, which TF has begun to hit.

# See https://docs.bazel.build/versions/main/windows.html

common:windows --features=compiler_param_file

common:windows --features=archive_param_file

# Speed Windows compile times. Available in VS 16.4 (we are on 16.11). See

# https://groups.google.com/a/tensorflow.org/d/topic/build/SsW98Eo7l3o/discussion

common:windows --copt=/d2ReducedOptimizeHugeFunctions

common:windows --host_copt=/d2ReducedOptimizeHugeFunctions

# Before VS 2017 15.8, the member "type" would non-conformingly have an

# alignment of only alignof(max_align_t). VS 2017 15.8 was fixed to handle this

# correctly, but the fix inherently changes layout and breaks binary

# compatibility (*only* for uses of aligned_storage with extended alignments).

common:windows --copt=-D_ENABLE_EXTENDED_ALIGNED_STORAGE

common:windows --host_copt=-D_ENABLE_EXTENDED_ALIGNED_STORAGE

# Enable the runfiles symlink tree on Windows. This makes it possible to build

# the pip package on Windows without an intermediate data-file archive, as the

# build_pip_package script in its current form (as of Aug 2023) uses the

# runfiles symlink tree to decide what to put into the Python wheel.

startup --windows_enable_symlinks

common:windows --enable_runfiles

common:windows --nobuild_python_zip

common:windows --dynamic_mode=off

# Default paths for TF_SYSTEM_LIBS

common:linux --define=PREFIX=/usr

common:linux --define=PROTOBUF_INCLUDE_PATH=$(PREFIX)/include

common:macos --define=PREFIX=/usr

common:macos --define=PROTOBUF_INCLUDE_PATH=$(PREFIX)/include

# TF_SYSTEM_LIBS do not work on windows.

# By default, build TF in C++ 17 mode.

common:android --cxxopt=-std=c++17

common:android --host_cxxopt=-std=c++17

common:ios --cxxopt=-std=c++17

common:ios --host_cxxopt=-std=c++17

common:linux --cxxopt=-std=c++17

common:linux --host_cxxopt=-std=c++17

common:macos --cxxopt=-std=c++17

common:macos --host_cxxopt=-std=c++17

common:windows --cxxopt=/std:c++17

common:windows --host_cxxopt=/std:c++17

# On windows, we still link everything into a single DLL.

common:windows --config=monolithic

# On linux, we dynamically link small amount of kernels

common:linux --config=dynamic_kernels

# Make sure to include as little of windows.h as possible

common:windows --copt=-DWIN32_LEAN_AND_MEAN

common:windows --host_copt=-DWIN32_LEAN_AND_MEAN

common:windows --copt=-DNOGDI

common:windows --host_copt=-DNOGDI

# MSVC (Windows): Standards-conformant preprocessor mode

# See https://docs.microsoft.com/en-us/cpp/preprocessor/preprocessor-experimental-overview

common:windows --copt=/Zc:preprocessor

common:windows --host_copt=/Zc:preprocessor

# Misc build options we need for windows.

common:windows --linkopt=/DEBUG

common:windows --host_linkopt=/DEBUG

common:windows --linkopt=/OPT:REF

common:windows --host_linkopt=/OPT:REF

common:windows --linkopt=/OPT:ICF

common:windows --host_linkopt=/OPT:ICF

# Verbose failure logs when something goes wrong

common:windows --verbose_failures

# Work around potential issues with large command lines on windows.

# See: https://github.com/bazelbuild/bazel/issues/5163

common:windows --features=compiler_param_file

# Use old toolchains for Windows builds.

common:windows --config=clang_local

# Do not risk cache corruption. See:

# https://github.com/bazelbuild/bazel/issues/3360

common:linux --experimental_guard_against_concurrent_changes

# Configure short or long logs

common:short_logs --output_filter=DONT_MATCH_ANYTHING

common:verbose_logs --output_filter=

# Instruction set optimizations

# TODO(gunan): Create a feature in toolchains for avx/avx2 to

# avoid having to define linux/win separately.

common:avx_linux --copt=-mavx

common:avx_linux --host_copt=-mavx

common:avx_linux --copt="-mf16c"

common:avx_win --copt=/arch:AVX

common:avx_win --copt="-mf16c"

common:win_clang_base --@com_google_protobuf//build_defs:use_dlls=True

common:win_clang_base --@com_google_absl//absl:use_dlls=True

common:win_clang_base --linkopt=/demangle:no --host_linkopt=/demangle:no

common:win_clang_base --linkopt=/errorlimit:0 --host_linkopt=/errorlimit:0

common:win_clang_base --copt=/clang:-Weverything

common:win_clang_base --host_copt=/clang:-Weverything

common:win_clang_base --compiler=clang-cl

common:win_clang_base --linkopt=/FORCE:MULTIPLE

common:win_clang_base --host_linkopt=/FORCE:MULTIPLE

common:win_clang_base --action_env=PATHEXT=.COM;.EXE;.BAT;.CMD;.VBS;.VBE;.JS;.JSE;.WSF;.WSH;.MSC;.PY;.PYW

test:win_clang_base --linkopt=/FORCE:MULTIPLE

test:win_clang_base --host_linkopt=/FORCE:MULTIPLE

test:win_clang_base --build_tests_only --keep_going --test_output=errors --verbose_failures=true --test_summary=short

common:win_clang --config=win_clang_base

common:win_clang --config=clang_local

common:win_clang --extra_toolchains=@local_config_cc//:cc-toolchain-x64_windows-clang-cl

common:win_clang --extra_execution_platforms=//tensorflow/tools/toolchains/win:x64_windows-clang-cl

common:win_clang --host_platform=//tensorflow/tools/toolchains/win:x64_windows-clang-cl

common:windows_x86_cpu_2022 --config=win_clang_base

common:windows_x86_cpu_2022 --crosstool_top="//tensorflow/tools/toolchains/win2022/20241118:toolchain"

common:windows_x86_cpu_2022 --extra_toolchains="//tensorflow/tools/toolchains/win2022/20241118:cc-toolchain-x64_windows-clang-cl"

common:windows_x86_cpu_2022 --extra_execution_platforms="//tensorflow/tools/toolchains/win2022:windows_ltsc2022_clang"

common:windows_x86_cpu_2022 --host_platform="//tensorflow/tools/toolchains/win2022:windows_ltsc2022_clang"

common:windows_x86_cpu_2022 --platforms="//tensorflow/tools/toolchains/win2022:windows_ltsc2022_clang"

# Options to build TensorFlow 1.x or 2.x.

# TODO(kanglan): Change v2's define to default behavior

common:v2 --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1

# Enable all targets in XLA

common:cpu_cross --define=with_cross_compiler_support=true

# Disable XLA on mobile.

common:xla --define=with_xla_support=true # TODO: remove, it's on by default.

common:android --define=with_xla_support=false

common:ios --define=with_xla_support=false

# 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

# Allow creation of resultstore URLs for any bazel invocation

common:resultstore --google_default_credentials

common:resultstore --bes_backend=buildeventservice.googleapis.com

common:resultstore --bes_instance_name="tensorflow-testing"

common:resultstore --bes_results_url="https://source.cloud.google.com/results/invocations"

common:resultstore --bes_timeout=600s

# Flag to enable remote config

common --experimental_repo_remote_exec

common:use_tar_archive_files --repo_env=USE_CUDA_TAR_ARCHIVE_FILES=1

common:use_tar_archive_files --repo_env=USE_NVSHMEM_TAR_ARCHIVE_FILES=1

common:use_tar_archive_files --repo_env=USE_LLVM_TAR_ARCHIVE_FILES=1

common:use_tar_archive_files --repo_env=USE_MIRRORED_TAR_ARCHIVE_FILES=1

# Make Bazel not try to probe the host system for a C++ toolchain.

common:rbe_base --config=resultstore

common:rbe_base --repo_env=BAZEL_DO_NOT_DETECT_CPP_TOOLCHAIN=1

common:rbe_base --define=EXECUTOR=remote

common:rbe_base --jobs=800

common:rbe_base --remote_executor=grpcs://remotebuildexecution.googleapis.com

common:rbe_base --remote_timeout=3600

common:rbe_base --spawn_strategy=remote,worker,standalone,local

# Attempt to minimize the amount of data transfer between bazel and the remote

# workers:

common:rbe_base --remote_download_toplevel

test:rbe_base --test_env=USER=anon

# TODO(kanglan): Check if we want to merge rbe_linux into rbe_linux_cpu.

common:rbe_linux --config=rbe_base

common:rbe_linux --action_env=PATH="/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/go/bin"

# Non-rbe settings we should include because we do not run configure

common:rbe_linux --config=avx_linux

# TODO(gunan): Check why we need this specified in rbe, but not in other builds.

common:rbe_linux --linkopt=-lrt

common:rbe_linux --host_linkopt=-lrt

common:rbe_linux --linkopt=-lm

common:rbe_linux --host_linkopt=-lm

common:rbe_linux_cpu --config=rbe_linux

common:rbe_linux_cpu --extra_execution_platforms="@ml_build_config_platform//:platform"

common:rbe_linux_cpu --host_platform="@ml_build_config_platform//:platform"

common:rbe_linux_cpu --platforms="@ml_build_config_platform//:platform"

# This is needed for all Clang17 builds but must not be present in GCC builds.

common:rbe_linux_cpu --copt=-Wno-error=unused-command-line-argument

# This was added in clang-16 by https://reviews.llvm.org/D133574.

# Can be removed once upb is updated, since a type definition is used within

# offset of in the current version of ubp.

# See https://github.com/protocolbuffers/upb/blob/9effcbcb27f0a665f9f345030188c0b291e32482/upb/upb.c#L183.

common:rbe_linux_cpu --copt=-Wno-gnu-offsetof-extensions

# Python config is the same across all containers because the binary is the same

common:rbe_linux_cpu --python_path="/usr/bin/python3"

# These you may need to change for your own GCP project.

common:rbe_linux_cpu --remote_instance_name=projects/tensorflow-testing/instances/default_instance

# Deprecated RBE config with non-hermetic toolchains.

common:rbe_linux_cpu_clang_local --config=rbe_linux_cpu

common:rbe_linux_cpu_clang_local --config=clang_local

common:rbe_linux_cpu_clang_local --host_crosstool_top="@local_config_cuda//crosstool:toolchain"

common:rbe_linux_cpu_clang_local --crosstool_top="@local_config_cuda//crosstool:toolchain"

common:rbe_linux_cpu_clang_local --extra_toolchains="@local_config_cuda//crosstool:toolchain-linux-x86_64"

common:rbe_linux_cpu_clang_local --repo_env=CC="/usr/lib/llvm-18/bin/clang"

common:rbe_linux_cpu_clang_local --repo_env=TF_SYSROOT="/dt9"

# TODO(kanglan): Remove it after toolchain update is complete.

common:rbe_linux_cpu_old --config=rbe_linux

common:rbe_linux_cpu_old --host_crosstool_top="@ubuntu20.04-gcc9_manylinux2014-cuda11.2-cudnn8.1-tensorrt7.2_config_cuda//crosstool:toolchain"

common:rbe_linux_cpu_old --crosstool_top="@ubuntu20.04-gcc9_manylinux2014-cuda11.2-cudnn8.1-tensorrt7.2_config_cuda//crosstool:toolchain"

common:rbe_linux_cpu_old --extra_toolchains="@ubuntu20.04-gcc9_manylinux2014-cuda11.2-cudnn8.1-tensorrt7.2_config_cuda//crosstool:toolchain-linux-x86_64"

common:rbe_linux_cpu_old --extra_execution_platforms="@ubuntu20.04-gcc9_manylinux2014-cuda11.2-cudnn8.1-tensorrt7.2_config_platform//:platform"

common:rbe_linux_cpu_old --host_platform="@ubuntu20.04-gcc9_manylinux2014-cuda11.2-cudnn8.1-tensorrt7.2_config_platform//:platform"

common:rbe_linux_cpu_old --platforms="@ubuntu20.04-gcc9_manylinux2014-cuda11.2-cudnn8.1-tensorrt7.2_config_platform//:platform"

common:rbe_linux_cpu_old --python_path="/usr/local/bin/python3.9"

common:rbe_linux_cpu_old --remote_instance_name=projects/tensorflow-testing/instances/default_instance

common:rbe_linux_cuda --config=cuda_clang_official

common:rbe_linux_cuda --config=rbe_linux_cpu

# For Remote build execution -- GPU configuration

common:rbe_linux_cuda --repo_env=REMOTE_GPU_TESTING=1

# Update UMD version when RBE CUDA driver is updated.

common:rbe_linux_cuda --repo_env=HERMETIC_CUDA_UMD_VERSION="13.0.2"

common:rbe_linux_cuda_nvcc --config=rbe_linux_cuda

common:rbe_linux_cuda_nvcc --config=cuda_nvcc

common:rbe_linux_cuda_nvcc --repo_env TF_NCCL_USE_STUB=1

common:rbe_win_base --config=rbe_base

common:rbe_win_base --config=clang_local

common:rbe_win_base --shell_executable=C:\\tools\\msys64\\usr\\bin\\bash.exe

common:rbe_win_base --remote_instance_name=projects/tensorflow-testing/instances/windows

# Don't build the python zip archive in the RBE build.

common:rbe_win_base --remote_download_minimal

common:rbe_win_base --enable_runfiles

common:rbe_win_base --nobuild_python_zip

# Don't build the runfile links in the RBE build which is expensive on Windows.

common:rbe_win_base --nobuild_runfile_links

common:rbe_win_base --define=override_eigen_strong_inline=true

common:rbe_windows_x86_cpu_2022 --config=rbe_win_base --config=windows_x86_cpu_2022

# Override the remote instance and BES instance names to use the new RBE pools

common:rbe_windows_x86_cpu_2022 --remote_instance_name=projects/ml-oss-rbe-general/instances/default_instance

common:rbe_windows_x86_cpu_2022 --bes_instance_name="ml-oss-rbe-general"

common:rbe_windows_x86_cpu_2022 --host_platform="//tensorflow/tools/toolchains/win2022:windows_ltsc2022_clang_new"

common:rbe_windows_x86_cpu_2022 --extra_execution_platforms="//tensorflow/tools/toolchains/win2022:windows_ltsc2022_clang_new"

common:rbe_windows_x86_cpu_2022 --platforms="//tensorflow/tools/toolchains/win2022:windows_ltsc2022_clang_new"

# END TF REMOTE BUILD EXECUTION OPTIONS

# TFLite build configs for generic embedded Linux

common:elinux --config=clang_local

common:elinux --crosstool_top=@local_config_embedded_arm//:toolchain

common:elinux --host_crosstool_top=@bazel_tools//tools/cpp:toolchain

common:elinux_aarch64 --config=elinux

common:elinux_aarch64 --cpu=aarch64

common:elinux_aarch64 --platforms=@org_tensorflow//tensorflow/tools/toolchains/linux:linux_aarch64

common:elinux_armhf --config=elinux

common:elinux_armhf --cpu=armhf

common:elinux_armhf --platforms=@org_tensorflow//tensorflow/tools/toolchains/linux:linux_armhf

common:elinux_armhf --copt -mfp16-format=ieee

# Config-specific options should come above this line.

# Load rc file written by ./configure.

try-import %workspace%/.tf_configure.bazelrc

# Load rc file with user-specific options.

try-import %workspace%/.bazelrc.user

# Here are bazelrc configs for release builds

# Build TensorFlow v2.

test:release_base --test_size_filters=small,medium

# Enable support for all targets

common:release_base --config=cpu_cross

# Ensure release_base is set on linux

common:release_linux_base --config=release_base

# Disable clang extension that rejects type definitions within offsetof.

# This was added in clang-16 by https://reviews.llvm.org/D133574.

# Can be removed once upb is updated, since a type definition is used within

# offset of in the current version of ubp.

# See https://github.com/protocolbuffers/upb/blob/9effcbcb27f0a665f9f345030188c0b291e32482/upb/upb.c#L183.

common:release_linux_base --copt=-Wno-gnu-offsetof-extensions

common:release_linux_base --copt=-Wno-error=array-parameter

common:release_linux_base --copt=-Wno-error=unused-command-line-argument

# Set lld as the linker.

common:release_linux_base --linkopt="-fuse-ld=lld"

common:release_linux_base --linkopt="-lm"

# We have some invalid linker scripts in the build,

# so we need to disable this check

common:release_linux_base --linkopt=-Wl,--undefined-version

# Container environment settings below this point.

# Test-related settings below this point.

test:release_linux_base --build_tests_only --keep_going --test_output=errors --verbose_failures=true

test:release_linux_base --local_test_jobs=HOST_CPUS

# Give only the list of failed tests at the end of the log

test:release_linux_base --test_summary=short

# Use the Clang toolchain to compile

common:release_cpu_linux --config=release_linux_base

# Target the AVX instruction set

common:release_cpu_linux --config=avx_linux

common:release_gpu_linux --config=release_cpu_linux

# Set up compilation CUDA version and paths and use the CUDA Clang toolchain.

# Note that linux cpu and cuda builds share the same toolchain now.

common:release_gpu_linux --config=cuda_clang_official

# Local test jobs has to be 4 because parallel_gpu_execute is fragile, I think

test:release_gpu_linux --test_timeout=300,450,1200,3600 --local_test_jobs=4 --run_under=//tensorflow/tools/ci_build/gpu_build:parallel_gpu_execute

# Deprecated release CPU config with non-hermetic toolchains.

common:release_cpu_linux_clang_local --config=release_cpu_linux

common:release_cpu_linux_clang_local --config=clang_local

common:release_cpu_linux_clang_local --repo_env=CC="/usr/lib/llvm-18/bin/clang"

common:release_cpu_linux_clang_local --repo_env=BAZEL_COMPILER="/usr/lib/llvm-18/bin/clang"

common:release_cpu_linux_clang_local --crosstool_top="@local_config_cuda//crosstool:toolchain"

common:release_cpu_linux_clang_local --repo_env=TF_SYSROOT="/dt9"

# Deprecated release GPU config with non-hermetic toolchains.

common:release_gpu_linux_clang_local --config=release_gpu_linux

common:release_gpu_linux_clang_local --config=release_cpu_linux_clang_local

common:release_arm64_linux --config=release_linux_base

common:release_arm64_linux --config=linux_arm64

common:release_arm64_linux --config=mkl_aarch64_threadpool

common:release_arm64_linux --copt=-flax-vector-conversions

test:release_arm64_linux --flaky_test_attempts=3

# Deprecated release CPU config with non-hermetic toolchains.

common:release_arm64_linux_clang_local --config=release_arm64_linux

common:release_arm64_linux_clang_local --config=clang_local

common:release_arm64_linux_clang_local --repo_env=CC="/usr/lib/llvm-18/bin/clang"

common:release_arm64_linux_clang_local --repo_env=BAZEL_COMPILER="/usr/lib/llvm-18/bin/clang"

common:release_arm64_linux_clang_local --crosstool_top="@ml2014_clang_aarch64_config_aarch64//crosstool:toolchain"

test:release_arm64_linux_clang_local --flaky_test_attempts=3

common:release_cpu_macos --config=avx_linux

# Base build configs for macOS

common:release_macos_base --config=clang_local

common:release_macos_base --action_env DEVELOPER_DIR=/Applications/Xcode.app/Contents/Developer

common:release_macos_base --define=no_nccl_support=true --output_filter=^$

# Ensure release_base is set on mac

common:release_macos_base --config=release_base

# Build configs for macOS x86

common:release_macos_x86 --config=release_macos_base

# Build with the AVX instruction set when on macOS x86

common:release_macos_x86 --config=avx_linux

common:release_macos_x86 --cpu=darwin

# Target Catalina as the minimum compatible OS version

common:release_macos_x86 --macos_minimum_os=10.15

common:release_macos_x86 --action_env MACOSX_DEPLOYMENT_TARGET=10.15

# Build configs for macOS Arm64

common:release_macos_arm64 --config=release_macos_base

common:release_macos_arm64 --cpu=darwin_arm64

common:release_macos_arm64 --define=tensorflow_mkldnn_contraction_kernel=0

# Target Moneterey as the minimum compatible OS version

common:release_macos_arm64 --macos_minimum_os=12.0

common:release_macos_arm64 --action_env MACOSX_DEPLOYMENT_TARGET=12.0

# Base test configs for macOS

test:release_macos_base --verbose_failures=true --local_test_jobs=HOST_CPUS

test:release_macos_base --test_timeout=300,450,1200,3600 --test_output=errors

test:release_macos_base --build_tests_only --keep_going

test:release_macos_base --flaky_test_attempts=3

# Test configs for macOS x86

test:release_macos_x86 --config=release_macos_base

# Test configs for macOS Arm64

test:release_macos_arm64 --config=release_macos_base

# Ensure release_base is set on windows

common:release_cpu_windows --config=release_base

# TODO(kanglan): Update windows configs after b/289091160 is fixed

common:release_cpu_windows --config=avx_win

common:release_cpu_windows --define=no_tensorflow_py_deps=true

# Exclude TFRT integration for anything but Linux.

common:android --config=no_tfrt

common:macos --config=no_tfrt

common:windows --config=no_tfrt

common:rocm --config=no_tfrt

common:no_tfrt --deleted_packages=tensorflow/compiler/mlir/tfrt,tensorflow/compiler/mlir/tfrt/benchmarks,tensorflow/compiler/mlir/tfrt/ir,tensorflow/compiler/mlir/tfrt/ir/mlrt,tensorflow/compiler/mlir/tfrt/jit/python_binding,tensorflow/compiler/mlir/tfrt/jit/transforms,tensorflow/compiler/mlir/tfrt/python_tests,tensorflow/compiler/mlir/tfrt/tests,tensorflow/compiler/mlir/tfrt/tests/ifrt,tensorflow/compiler/mlir/tfrt/tests/mlrt,tensorflow/compiler/mlir/tfrt/tests/ir,tensorflow/compiler/mlir/tfrt/tests/analysis,tensorflow/compiler/mlir/tfrt/tests/jit,tensorflow/compiler/mlir/tfrt/tests/lhlo_to_tfrt,tensorflow/compiler/mlir/tfrt/tests/lhlo_to_jitrt,tensorflow/compiler/mlir/tfrt/tests/tf_to_corert,tensorflow/compiler/mlir/tfrt/tests/tf_to_tfrt_data,tensorflow/compiler/mlir/tfrt/tests/saved_model,tensorflow/compiler/mlir/tfrt/transforms/lhlo_gpu_to_tfrt_gpu,tensorflow/compiler/mlir/tfrt/transforms/mlrt,tensorflow/core/runtime_fallback,tensorflow/core/runtime_fallback/conversion,tensorflow/core/runtime_fallback/kernel,tensorflow/core/runtime_fallback/opdefs,tensorflow/core/runtime_fallback/runtime,tensorflow/core/runtime_fallback/util,tensorflow/core/runtime_fallback/test,tensorflow/core/runtime_fallback/test/gpu,tensorflow/core/runtime_fallback/test/saved_model,tensorflow/core/runtime_fallback/test/testdata,tensorflow/core/tfrt/stubs,tensorflow/core/tfrt/tfrt_session,tensorflow/core/tfrt/mlrt,tensorflow/core/tfrt/mlrt/attribute,tensorflow/core/tfrt/mlrt/kernel,tensorflow/core/tfrt/mlrt/bytecode,tensorflow/core/tfrt/mlrt/interpreter,tensorflow/compiler/mlir/tfrt/translate/mlrt,tensorflow/compiler/mlir/tfrt/translate/mlrt/testdata,tensorflow/core/tfrt/gpu,tensorflow/core/tfrt/run_handler_thread_pool,tensorflow/core/tfrt/runtime,tensorflow/core/tfrt/saved_model,tensorflow/core/tfrt/graph_executor,tensorflow/core/tfrt/saved_model/tests,tensorflow/core/tfrt/tpu,tensorflow/core/tfrt/utils,tensorflow/core/tfrt/utils/debug,tensorflow/core/tfrt/saved_model/python,tensorflow/core/tfrt/graph_executor/python,tensorflow/core/tfrt/saved_model/utils

# BEGIN TF CACHE HELPER OPTIONS

# Options when using remote execution

# WARNING: THESE OPTIONS WONT WORK IF YOU DO NOT HAVE PROPER AUTHENTICATION AND PERMISSIONS

# Use --config=tf_public_cache to try and use the TensorFlow public build cache

# to build TensorFlow. Look at ci/official/envs to find which types of jobs

# push to the cache. For macOS, use --config=tf_public_macos_cache

common:tf_public_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/january2024" --remote_upload_local_results=false

# Cache pushes are limited to TF's CI system.

common:tf_public_cache_push --config=tf_public_cache --remote_upload_local_results=true --google_default_credentials

# Public cache for macOS builds

common:tf_public_macos_cache --remote_cache="https://storage.googleapis.com/tensorflow-macos-bazel-cache/oct2023" --remote_upload_local_results=false

# Cache pushes are limited to TF's CI system.

common:tf_public_macos_cache_push --config=tf_public_macos_cache --remote_upload_local_results=true --google_default_credentials

# END TF CACHE HELPER OPTIONS

# BEGIN TF TEST SUITE OPTIONS

# These are convenience config options that effectively declare TF's CI test suites. Look

# at the scripts of ci/official/ to see how TF's CI uses them.

# PYTHON TESTS run a suite of Python tests intended for verifying that the Python wheel

# will work properly. These are usually run Nightly or upon Release.

# CPU WHEEL

test:linux_cpu_wheel_test_filters --test_tag_filters=-no_oss,-tf_tosa,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_oss_py310,-no_oss_py313

test:linux_cpu_wheel_test_filters --build_tag_filters=-no_oss,-tf_tosa,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_oss_py310,-no_oss_py313

test:linux_cpu_wheel_test_filters --test_lang_filters=py --test_size_filters=small,medium

test:linux_cpu_wheel_test --@xla//third_party/py:wheel_dependency=true --config=linux_cpu_wheel_test_filters -- //tensorflow/... //tensorflow/tools/pip_package:prebuilt_wheel_import_api_packages_test_cpu -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/...

# CUDA WHEEL

test:linux_cuda_wheel_test_filters --test_tag_filters=gpu,requires-gpu,-no_gpu,-no_oss,-tf_tosa,-oss_excluded,-oss_serial,-benchmark-test,-no_cuda11,-no_oss_py310,-no_oss_py313

test:linux_cuda_wheel_test_filters --build_tag_filters=gpu,requires-gpu,-no_gpu,-no_oss,-tf_tosa,-oss_excluded,-oss_serial,-benchmark-test,-no_cuda11,-no_oss_py310,-no_oss_py313

test:linux_cuda_wheel_test_filters --test_lang_filters=py --test_size_filters=small,medium

test:linux_cuda_wheel_test --repo_env=HERMETIC_CUDA_UMD_VERSION=12.8.1 --@xla//third_party/py:wheel_dependency=true --config=linux_cuda_wheel_test_filters -- //tensorflow/... //tensorflow/tools/pip_package:prebuilt_wheel_import_api_packages_test_gpu -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/...

# ARM64 WHEEL

test:linux_arm64_wheel_test_filters --test_tag_filters=-no_oss,-tf_tosa,-no_aarch64,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_oss_py310,-no_oss_py313

test:linux_arm64_wheel_test_filters --build_tag_filters=-no_oss,-tf_tosa,-no_aarch64,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_oss_py310,-no_oss_py313

test:linux_arm64_wheel_test_filters --test_lang_filters=py --test_size_filters=small,medium

test:linux_arm64_wheel_test --@xla//third_party/py:wheel_dependency=true --config=linux_arm64_wheel_test_filters -- //tensorflow/... //tensorflow/tools/pip_package:prebuilt_wheel_import_api_packages_test_cpu -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/... -//tensorflow/go/... -//tensorflow/java/... -//tensorflow/core/grappler/optimizers:auto_mixed_precision_test_cpu -//tensorflow/core/grappler/optimizers:remapper_test_cpu -//tensorflow/core/kernels/image:resize_bicubic_op_test

# MACOS ARM64 WHEEL

test:macos_arm64_wheel_test_filters --test_tag_filters=-no_oss,-tf_tosa,-oss_excluded,-oss_serial,-no_oss_py310,-no_oss_py313,-nomac,-no_mac,-mac_excluded,-v1only,-gpu,-tpu,-benchmark-test,-no_mac_arm64,-no_aarch64

test:macos_arm64_wheel_test_filters --build_tag_filters=-no_oss,-tf_tosa,-oss_excluded,-oss_serial,-no_oss_py310,-no_oss_py313,-nomac,-no_mac,-mac_excluded,-v1only,-gpu,-tpu,-benchmark-test,-no_mac_arm64,-no_aarch64

test:macos_arm64_wheel_test_filters --test_lang_filters=py --test_size_filters=small,medium

test:macos_arm64_wheel_test --@xla//third_party/py:wheel_dependency=true --config=macos_arm64_wheel_test_filters -- //tensorflow/... //tensorflow/tools/pip_package:prebuilt_wheel_import_api_packages_test_cpu -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/... -//tensorflow/go/... -//tensorflow/java/... -//tensorflow/compiler/aot/...

# MACOS X86 WHEEL

test:macos_x86_wheel_test_filters --test_tag_filters=-no_oss,-tf_tosa,-oss_excluded,-oss_serial,-no_oss_py310,-no_oss_py313,-nomac,-no_mac,-mac_excluded,-v1only,-gpu,-tpu,-benchmark-test

test:macos_x86_wheel_test_filters --build_tag_filters=-no_oss,-tf_tosa,-oss_excluded,-oss_serial,-no_oss_py310,-no_oss_py313,-nomac,-no_mac,-mac_excluded,-v1only,-gpu,-tpu,-benchmark-test

test:macos_x86_wheel_test_filters --test_lang_filters=py --test_size_filters=small,medium

test:macos_x86_wheel_test --@xla//third_party/py:wheel_dependency=true --config=macos_x86_wheel_test_filters -- //tensorflow/... //tensorflow/tools/pip_package:prebuilt_wheel_import_api_packages_test_cpu -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/... -//tensorflow/go/... -//tensorflow/java/... -//tensorflow/compiler/aot/...

# WINDOWS X86 WHEEL

test:windows_x86_cpu_2022_wheel_test_filters --test_tag_filters=-no_windows,-windows_excluded,-no_oss,-oss_excluded,-gpu,-tpu,-benchmark-test,-v1only

test:windows_x86_cpu_2022_wheel_test_filters --build_tag_filters=-no_windows,-windows_excluded,-no_oss,-oss_excluded,-benchmark-test,-v1only

test:windows_x86_cpu_2022_wheel_test_filters --test_lang_filters=cc,py --test_size_filters=small,medium --test_timeout="300,450,1200,3600"

test:windows_x86_cpu_2022_wheel_test --build_tests_only --config=windows_x86_cpu_pycpp_test_filters -- //tensorflow/... //tensorflow/tools/pip_package:prebuilt_wheel_import_api_packages_test_cpu -//tensorflow/java/... -//tensorflow/lite/... -//tensorflow/compiler/...

# PYCPP TESTS run a suite of Python and C++ tests to verify general correctness over

# the whole TF code base. These are usually run continuously or upon presubmit.

# LINUX CPU PYCPP:

test:linux_cpu_pycpp_test_filters --test_tag_filters=-no_oss,-no_oss_py313,-tf_tosa,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only

test:linux_cpu_pycpp_test_filters --build_tag_filters=-no_oss,-no_oss_py313,-tf_tosa,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only

test:linux_cpu_pycpp_test_filters --test_lang_filters=cc,py --test_size_filters=small,medium

test:linux_cpu_pycpp_test --config=linux_cpu_pycpp_test_filters -- //tensorflow/... //tensorflow/tools/pip_package:import_api_packages_test_cpu -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/...

# LINUX CUDA PYCPP:

test:linux_cuda_pycpp_test_filters --test_tag_filters=-no_oss,-no_oss_py313,-tf_tosa,-oss_excluded,-oss_serial,-benchmark-test,-v1only,gpu,-no_gpu,-no_gpu_presubmit,-no_cuda11

test:linux_cuda_pycpp_test_filters --build_tag_filters=-no_oss,-no_oss_py313,-tf_tosa,-oss_excluded,-oss_serial,-benchmark-test,-v1only,gpu,-no_gpu,-no_gpu_presubmit,-no_cuda11

test:linux_cuda_pycpp_test_filters --test_lang_filters=cc,py --test_size_filters=small,medium

test:linux_cuda_pycpp_test --config=linux_cuda_pycpp_test_filters -- //tensorflow/... //tensorflow/tools/pip_package:import_api_packages_test_gpu -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/...

# LINUX ARM64 PYCPP

# In Linux Arm64 presubmit/continuous build, we cross-compile the binaries on

# Linux x86 so that we can use RBE. Since tests still need to run on the single

# host Arm64 machine, the build becomes too slow (~30 min) to be a presubmit.

# For testing purposes, we want to see the runtime performance of an

# experimental job that is build-only, i.e, we only build the test targets and

# do not run them. By prefixing the configs with "build", we can run both

# `bazel build` and `bazel test` commands with the same config as test configs

# inherit from build.

common:linux_arm64_pycpp_test_filters --test_tag_filters=-no_oss,-no_oss_py313,-tf_tosa,-no_aarch64,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only

common:linux_arm64_pycpp_test_filters --build_tag_filters=-no_oss,-no_oss_py313,-tf_tosa,-no_aarch64,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only

common:linux_arm64_pycpp_test_filters --test_lang_filters=cc,py --test_size_filters=small,medium --flaky_test_attempts=3

# TODO(michaelhudgins): Why do we need to specifically omit go and java here?

common:linux_arm64_pycpp_test --config=linux_arm64_pycpp_test_filters -- //tensorflow/... //tensorflow/tools/pip_package:import_api_packages_test_cpu -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/... -//tensorflow/go/... -//tensorflow/java/... -//tensorflow/core/grappler/optimizers:auto_mixed_precision_test_cpu -//tensorflow/core/grappler/optimizers:remapper_test_cpu -//tensorflow/core/kernels/image:resize_bicubic_op_test -//tensorflow/python/tools:aot_compiled_test

# CROSS-COMPILE ARM64 PYCPP

common:cross_compile_linux_arm64_pycpp_test --config=linux_arm64_pycpp_test

# Tests that fail only when cross-compiled

common:cross_compile_linux_arm64_pycpp_test -//tensorflow/compiler/mlir/quantization/stablehlo:convert_tf_quant_to_mhlo_int_test

# MACOS ARM64 PYCPP

test:macos_arm64_pycpp_test_filters --test_tag_filters=-no_oss,-tf_tosa,-oss_excluded,-oss_serial,-no_oss_py310,-no_oss_py313,-nomac,-no_mac,-mac_excluded,-v1only,-gpu,-tpu,-benchmark-test,-no_mac_arm64,-no_aarch64

test:macos_arm64_pycpp_test_filters --build_tag_filters=-no_oss,-tf_tosa,-oss_excluded,-oss_serial,-no_oss_py310,-no_oss_py313,-nomac,-no_mac,-mac_excluded,-v1only,-gpu,-tpu,-benchmark-test,-no_mac_arm64,-no_aarch64

test:macos_arm64_pycpp_test_filters --test_lang_filters=cc,py --test_size_filters=small,medium

test:macos_arm64_pycpp_test --config=macos_arm64_pycpp_test_filters -- //tensorflow/... //tensorflow/tools/pip_package:import_api_packages_test_cpu -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/... -//tensorflow/go/... -//tensorflow/java/... -//tensorflow/compiler/aot/... -//tensorflow/core/kernels/image:resize_bicubic_op_test

# MACOS X86 PYCPP

# These are defined as build configs so that we can run a build only job. See

# the note under "ARM64 PYCPP" for more details.

common:macos_x86_pycpp_test_filters --test_tag_filters=-no_oss,-tf_tosa,-oss_excluded,-oss_serial,-no_oss_py310,-nomac,-no_mac,-mac_excluded,-v1only,-gpu,-tpu,-benchmark-test

common:macos_x86_pycpp_test_filters --build_tag_filters=-no_oss,-tf_tosa,-oss_excluded,-oss_serial,-no_oss_py310,-nomac,-no_mac,-mac_excluded,-v1only,-gpu,-tpu,-benchmark-test

common:macos_x86_pycpp_test_filters --keep_going --test_lang_filters=cc,py --test_size_filters=small,medium

common:macos_x86_pycpp_test --config=macos_x86_pycpp_test_filters -- //tensorflow/... //tensorflow/tools/pip_package:import_api_packages_test_cpu -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/go/... -//tensorflow/java/... -//tensorflow/tools/toolchains/... -//tensorflow/lite/... -//tensorflow/compiler/aot/...

# CROSS-COMPILE MACOS X86 PYCPP

common:cross_compile_macos_x86_pycpp_test --config=macos_x86_pycpp_test

common:cross_compile_macos_x86_pycpp_test -//tensorflow/core/kernels:quantized_conv_ops_test -//tensorflow/core/kernels:quantized_matmul_op_test -//tensorflow/python/ops:quantized_conv_ops_test -//tensorflow/tools/graph_transforms:transforms_test -//tensorflow/python/tools:aot_compiled_test

# WINDOWS X86-64 CPU PYCPP

common:windows_x86_cpu_2022_pycpp_test_build_opts --copt=/d2ReducedOptimizeHugeFunctions --host_copt=/d2ReducedOptimizeHugeFunctions --dynamic_mode=off

test:windows_x86_cpu_2022_pycpp_test_filters --test_tag_filters=-no_windows,-windows_excluded,-no_oss,-tf_tosa,-oss_excluded,-gpu,-tpu,-benchmark-test,-v1only

common:windows_x86_cpu_2022_pycpp_test_filters --build_tag_filters=-no_windows,-windows_excluded,-no_oss,-tf_tosa,-oss_excluded,-benchmark-test,-v1only

test:windows_x86_cpu_2022_pycpp_test_filters --test_lang_filters=cc,py --test_size_filters=small,medium --test_timeout="300,450,1200,3600"

test:windows_x86_cpu_2022_pycpp_test_opts --config=windows_x86_cpu_2022_pycpp_test_build_opts --build_tests_only

test:windows_x86_cpu_2022_pycpp_test --config=windows_x86_cpu_2022_pycpp_test_opts --config=windows_x86_cpu_2022_pycpp_test_filters -- //tensorflow/... //tensorflow/tools/pip_package:import_api_packages_test_cpu -//tensorflow/java/... -//tensorflow/lite/... -//tensorflow/compiler/...

# END TF TEST SUITE OPTIONS

# START CROSS-COMPILE CONFIGS

# Set execution platform to Linux x86

# Note: Lot of the "host_" flags such as "host_cpu" and "host_crosstool_top"

# flags seem to be actually used to specify the execution platform details. It

# seems it is this way because these flags are old and predate the distinction

# between host and execution platform.

common:cross_compile_base --config=clang_local

common:cross_compile_base --host_cpu=k8

common:cross_compile_base --host_crosstool_top=//tensorflow/tools/toolchains/cross_compile/cc:cross_compile_toolchain_suite

common:cross_compile_base --extra_execution_platforms=//tensorflow/tools/toolchains/cross_compile/config:linux_x86_64

common:rbe_cross_compile_base --config=rbe_base

common:rbe_cross_compile_base --remote_instance_name=projects/tensorflow-testing/instances/default_instance

# Test-related settings below this point

# We cannot run cross-compiled tests on the remote Linux x86 VMs so we need to

# force all tests to run locally on the Aarch64 host.

test:rbe_cross_compile_base --strategy=TestRunner=local --build_tests_only

test:rbe_cross_compile_base --verbose_failures=true --local_test_jobs=HOST_CPUS --test_output=errors

# START LINUX AARCH64 CROSS-COMPILE CONFIGS

common:cross_compile_linux_arm64 --config=cross_compile_base

# Set the target CPU to Aarch64

common:cross_compile_linux_arm64 --platforms=//tensorflow/tools/toolchains/cross_compile/config:linux_aarch64

common:cross_compile_linux_arm64 --cpu=aarch64

common:cross_compile_linux_arm64 --crosstool_top=//tensorflow/tools/toolchains/cross_compile/cc:cross_compile_toolchain_suite

# RBE cross-compile configs for Linux Aarch64

common:rbe_cross_compile_linux_arm64 --config=cross_compile_linux_arm64

common:rbe_cross_compile_linux_arm64 --config=rbe_cross_compile_base

test:rbe_cross_compile_linux_arm64 --config=rbe_cross_compile_base

# END LINUX AARCH64 CROSS-COMPILE CONFIGS

# START MACOS CROSS-COMPILE CONFIGS

common:cross_compile_macos_x86 --config=cross_compile_base

common:cross_compile_macos_x86 --config=nonccl

# Target Catalina (10.15) as the minimum supported OS

common:cross_compile_macos_x86 --action_env MACOSX_DEPLOYMENT_TARGET=10.15

# Set the target CPU to Darwin x86

common:cross_compile_macos_x86 --platforms=//tensorflow/tools/toolchains/cross_compile/config:darwin_x86_64

common:cross_compile_macos_x86 --cpu=darwin

common:cross_compile_macos_x86 --crosstool_top=//tensorflow/tools/toolchains/cross_compile/cc:cross_compile_toolchain_suite

# When RBE cross-compiling for macOS, we need to explicitly register the