mirror of
https://github.com/tensorflow/tensorflow.git
synced 2024-11-21 21:05:19 +00:00
55de680725
Remote configurations of python repositories are removed because hermetic Python repository rules install and configure python modules in Bazel cache on the host machine. The cache is shared across host and remote machines. PiperOrigin-RevId: 671512134
949 lines
53 KiB
Plaintext
949 lines
53 KiB
Plaintext
# 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.
|
|
# tensorrt: Enable Tensorrt 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_win_clang: Options specific to compiling using Clang.
|
|
#
|
|
# 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.
|
|
|
|
# Default build options. These are applied first and unconditionally.
|
|
|
|
# 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
|
|
build --define tsl_protobuf_header_only=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
|
|
|
|
# TODO(mihaimaruseac): Document this option or remove if no longer needed
|
|
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 the following two lines once TF doesn't depend on Bazel wrapping
|
|
# all library archives in -whole_archive -no_whole_archive.
|
|
build --noincompatible_remove_legacy_whole_archive
|
|
build --features=-force_no_whole_archive
|
|
|
|
# TODO(mihaimaruseac): Document this option or remove if no longer needed
|
|
build --enable_platform_specific_config
|
|
|
|
# Enable XLA support by default.
|
|
build --define=with_xla_support=true
|
|
|
|
# TODO(mihaimaruseac): Document this option or remove if no longer needed
|
|
build --config=short_logs
|
|
|
|
# TODO(mihaimaruseac): Document this option or remove if no longer needed
|
|
build --config=v2
|
|
|
|
# TF now has `cc_shared_library` targets, so it needs the experimental flag
|
|
# TODO(rostam): Remove when `cc_shared_library` is enabled by default
|
|
build --experimental_cc_shared_library
|
|
|
|
# cc_shared_library ensures no library is linked statically more than once.
|
|
build --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.
|
|
build --incompatible_enforce_config_setting_visibility
|
|
# TODO: also enable this flag after fixing the visibility violations
|
|
# build --incompatible_config_setting_private_default_visibility
|
|
|
|
# Default options should come above this line.
|
|
|
|
# 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
|
|
|
|
# Build everything statically for Android since all static libs are later
|
|
# bundled together into a single .so for deployment.
|
|
build:android --dynamic_mode=off
|
|
|
|
# Sets the default Apple platform to macOS.
|
|
build:macos --apple_platform_type=macos
|
|
|
|
# gRPC on MacOS requires this #define
|
|
build:macos --copt=-DGRPC_BAZEL_BUILD
|
|
|
|
# Avoid hitting command line argument limit
|
|
build:macos --features=archive_param_file
|
|
|
|
# Settings for MacOS on ARM CPUs.
|
|
build:macos_arm64 --cpu=darwin_arm64
|
|
build:macos_arm64 --macos_minimum_os=11.0
|
|
|
|
# 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_arm64e --config=ios
|
|
build:ios_arm64e --cpu=ios_arm64e
|
|
build:ios_sim_arm64 --config=ios
|
|
build:ios_sim_arm64 --cpu=ios_sim_arm64
|
|
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
|
|
build:monolithic --define tsl_protobuf_header_only=false
|
|
build: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.
|
|
build:mkl --define=build_with_mkl=true --define=enable_mkl=true
|
|
build:mkl --define=tensorflow_mkldnn_contraction_kernel=0
|
|
build:mkl --define=build_with_openmp=true
|
|
build:mkl -c opt
|
|
|
|
# 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_mkldnn_contraction_kernel=0
|
|
build:mkl_threadpool --define=build_with_mkl_opensource=true
|
|
build:mkl_threadpool -c opt
|
|
|
|
# Config setting to build oneDNN with Compute Library for the Arm Architecture (ACL).
|
|
build:mkl_aarch64 --define=build_with_mkl_aarch64=true
|
|
build:mkl_aarch64 --define=build_with_openmp=true
|
|
build:mkl_aarch64 --define=build_with_acl=true
|
|
build:mkl_aarch64 -c opt
|
|
|
|
# Config setting to build oneDNN with Compute Library for the Arm Architecture (ACL).
|
|
# with Eigen threadpool support
|
|
build:mkl_aarch64_threadpool --define=build_with_mkl_aarch64=true
|
|
build:mkl_aarch64_threadpool -c opt
|
|
|
|
# CUDA: This config refers to building CUDA op kernels with nvcc.
|
|
build:cuda --repo_env TF_NEED_CUDA=1
|
|
build:cuda --crosstool_top=@local_config_cuda//crosstool:toolchain
|
|
build:cuda --@local_config_cuda//:enable_cuda
|
|
# Default CUDA and CUDNN versions.
|
|
build:cuda --repo_env=HERMETIC_CUDA_VERSION="12.3.2"
|
|
build:cuda --repo_env=HERMETIC_CUDNN_VERSION="9.3.0"
|
|
# This flag is needed to include CUDA libraries.
|
|
build:cuda --@local_config_cuda//cuda:include_cuda_libs=true
|
|
|
|
# This configuration is used for building the wheels.
|
|
build:cuda_wheel --@local_config_cuda//cuda:include_cuda_libs=false
|
|
|
|
# CUDA: This config refers to building CUDA op kernels with clang.
|
|
build:cuda_clang --config=cuda
|
|
build:cuda_clang --@local_config_cuda//:cuda_compiler=clang
|
|
build: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.
|
|
build:cuda_clang --repo_env=HERMETIC_CUDA_COMPUTE_CAPABILITIES="sm_60,sm_70,sm_80,sm_89,compute_90"
|
|
# Set lld as the linker.
|
|
build:cuda_clang --host_linkopt="-fuse-ld=lld"
|
|
build:cuda_clang --host_linkopt="-lm"
|
|
build:cuda_clang --linkopt="-fuse-ld=lld"
|
|
build:cuda_clang --linkopt="-lm"
|
|
|
|
# Set up compilation CUDA version and paths and use the CUDA Clang toolchain.
|
|
build:cuda_clang_official --config=cuda_clang
|
|
build:cuda_clang_official --repo_env=HERMETIC_CUDA_VERSION="12.3.2"
|
|
build:cuda_clang_official --repo_env=HERMETIC_CUDNN_VERSION="9.3.0"
|
|
build:cuda_clang_official --action_env=CLANG_CUDA_COMPILER_PATH="/usr/lib/llvm-18/bin/clang"
|
|
build:cuda_clang_official --crosstool_top="@local_config_cuda//crosstool:toolchain"
|
|
|
|
# Build with nvcc for CUDA and clang for host
|
|
build:nvcc_clang --config=cuda
|
|
build:nvcc_clang --action_env=TF_NVCC_CLANG="1"
|
|
build:nvcc_clang --@local_config_cuda//:cuda_compiler=nvcc
|
|
|
|
|
|
# Debug config
|
|
build: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/.
|
|
build:dbg --per_file_copt=+.*,-tensorflow.*,-xla.*@-g0
|
|
build:dbg --per_file_copt=+tensorflow/core/kernels.*@-g0
|
|
# 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
|
|
|
|
# Config to build TF TPU
|
|
build:tpu --define=with_tpu_support=true
|
|
build:tpu --define=framework_shared_object=true
|
|
build:tpu --copt=-DLIBTPU_ON_GCE
|
|
build:tpu --define=enable_mlir_bridge=true
|
|
|
|
build:tensorrt --repo_env TF_NEED_TENSORRT=1
|
|
|
|
build:rocm --crosstool_top=@local_config_rocm//crosstool:toolchain
|
|
build:rocm --define=using_rocm_hipcc=true
|
|
build:rocm --define=tensorflow_mkldnn_contraction_kernel=0
|
|
build:rocm --repo_env TF_NEED_ROCM=1
|
|
|
|
build:sycl --crosstool_top=@local_config_sycl//crosstool:toolchain
|
|
build:sycl --define=using_sycl=true
|
|
build:sycl --define=tensorflow_mkldnn_contraction_kernel=0
|
|
build:sycl --repo_env TF_NEED_SYCL=1
|
|
|
|
# Options to disable default on features
|
|
build:nogcp --define=no_gcp_support=true
|
|
build:nonccl --define=no_nccl_support=true
|
|
|
|
# Modular TF build options
|
|
build:dynamic_kernels --define=dynamic_loaded_kernels=true
|
|
build:dynamic_kernels --copt=-DAUTOLOAD_DYNAMIC_KERNELS
|
|
|
|
# Don't trigger --config=<host platform> when cross-compiling.
|
|
build:android --noenable_platform_specific_config
|
|
build:ios --noenable_platform_specific_config
|
|
|
|
# Suppress all C++ compiler warnings, otherwise build logs become 10s of MBs.
|
|
build:android --copt=-w
|
|
build:ios --copt=-w
|
|
build:linux --host_copt=-w
|
|
build:macos --copt=-w
|
|
build:windows --copt=/W0
|
|
build:windows --host_copt=/W0
|
|
|
|
# Suppress most C++ compiler warnings to reduce log size but allow
|
|
# for specific warnings to still be present.
|
|
build:linux --copt="-Wno-all"
|
|
build:linux --copt="-Wno-extra"
|
|
build:linux --copt="-Wno-deprecated"
|
|
build:linux --copt="-Wno-deprecated-declarations"
|
|
build:linux --copt="-Wno-ignored-attributes"
|
|
build:linux --copt="-Wno-array-bounds"
|
|
|
|
# Add unused-result as an error on Linux.
|
|
build:linux --copt="-Wunused-result"
|
|
build:linux --copt="-Werror=unused-result"
|
|
# Add switch as an error on Linux.
|
|
build:linux --copt="-Wswitch"
|
|
build:linux --copt="-Werror=switch"
|
|
# Required for building with clang
|
|
build:linux --copt="-Wno-error=unused-but-set-variable"
|
|
|
|
# Linux ARM64 specific options
|
|
build: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/
|
|
build:windows --copt=/Zc:__cplusplus
|
|
build:windows --host_copt=/Zc:__cplusplus
|
|
|
|
# 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
|
|
build: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
|
|
build:windows --features=compiler_param_file
|
|
build: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
|
|
build:windows --copt=/d2ReducedOptimizeHugeFunctions
|
|
build: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).
|
|
build:windows --copt=-D_ENABLE_EXTENDED_ALIGNED_STORAGE
|
|
build: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
|
|
build:windows --enable_runfiles
|
|
|
|
# Default paths for TF_SYSTEM_LIBS
|
|
build:linux --define=PREFIX=/usr
|
|
build:linux --define=LIBDIR=$(PREFIX)/lib
|
|
build:linux --define=INCLUDEDIR=$(PREFIX)/include
|
|
build:linux --define=PROTOBUF_INCLUDE_PATH=$(PREFIX)/include
|
|
build:macos --define=PREFIX=/usr
|
|
build:macos --define=LIBDIR=$(PREFIX)/lib
|
|
build:macos --define=INCLUDEDIR=$(PREFIX)/include
|
|
build:macos --define=PROTOBUF_INCLUDE_PATH=$(PREFIX)/include
|
|
# TF_SYSTEM_LIBS do not work on windows.
|
|
|
|
# By default, build TF in C++ 17 mode.
|
|
build:android --cxxopt=-std=c++17
|
|
build:android --host_cxxopt=-std=c++17
|
|
build:ios --cxxopt=-std=c++17
|
|
build:ios --host_cxxopt=-std=c++17
|
|
build:linux --cxxopt=-std=c++17
|
|
build:linux --host_cxxopt=-std=c++17
|
|
build:macos --cxxopt=-std=c++17
|
|
build:macos --host_cxxopt=-std=c++17
|
|
build:windows --cxxopt=/std:c++17
|
|
build:windows --host_cxxopt=/std:c++17
|
|
|
|
# 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
|
|
|
|
# MSVC (Windows): Standards-conformant preprocessor mode
|
|
# See https://docs.microsoft.com/en-us/cpp/preprocessor/preprocessor-experimental-overview
|
|
build:windows --copt=/Zc:preprocessor
|
|
build:windows --host_copt=/Zc:preprocessor
|
|
|
|
# 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
|
|
|
|
# Verbose failure logs when something goes wrong
|
|
build:windows --verbose_failures
|
|
|
|
# Work around potential issues with large command lines on windows.
|
|
# See: https://github.com/bazelbuild/bazel/issues/5163
|
|
build:windows --features=compiler_param_file
|
|
|
|
# Do not risk cache corruption. See:
|
|
# https://github.com/bazelbuild/bazel/issues/3360
|
|
build:linux --experimental_guard_against_concurrent_changes
|
|
|
|
# Configure short or long logs
|
|
build:short_logs --output_filter=DONT_MATCH_ANYTHING
|
|
build: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.
|
|
build:avx_linux --copt=-mavx
|
|
build:avx_linux --host_copt=-mavx
|
|
build:avx_win --copt=/arch:AVX
|
|
|
|
# Use Clang-cl compiler on Windows
|
|
build:win_clang --copt=/clang:-Weverything
|
|
build:win_clang --extra_toolchains=@local_config_cc//:cc-toolchain-x64_windows-clang-cl
|
|
build:win_clang --extra_execution_platforms=//tensorflow/tools/toolchains/win:x64_windows-clang-cl
|
|
build:win_clang --host_platform=//tensorflow/tools/toolchains/win:x64_windows-clang-cl
|
|
build:win_clang --compiler=clang-cl
|
|
build:win_clang --linkopt=/FORCE:MULTIPLE
|
|
build:win_clang --host_linkopt=/FORCE:MULTIPLE
|
|
test:win_clang --linkopt=/FORCE:MULTIPLE
|
|
test:win_clang --host_linkopt=/FORCE:MULTIPLE
|
|
|
|
# Same config as above but for XLA, which has different toolchain paths
|
|
build:win_clang_xla --copt=/clang:-Weverything
|
|
build:win_clang_xla --extra_toolchains=@local_config_cc//:cc-toolchain-x64_windows-clang-cl
|
|
build:win_clang_xla --extra_execution_platforms=//tools/toolchains/win:x64_windows-clang-cl
|
|
build:win_clang_xla --host_platform=//tools/toolchains/win:x64_windows-clang-cl
|
|
build:win_clang_xla --compiler=clang-cl
|
|
build:win_clang_xla --linkopt=/FORCE:MULTIPLE
|
|
build:win_clang_xla --host_linkopt=/FORCE:MULTIPLE
|
|
test:win_clang_xla --action_env=PATHEXT=.COM;.EXE;.BAT;.CMD;.VBS;.VBE;.JS;.JSE;.WSF;.WSH;.MSC;.PY;.PYW
|
|
test:win_clang_xla --linkopt=/FORCE:MULTIPLE
|
|
test:win_clang_xla --host_linkopt=/FORCE:MULTIPLE
|
|
|
|
# Options to build TensorFlow 1.x or 2.x.
|
|
# TODO(kanglan): Change v2's define to default behavior
|
|
build:v2 --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1
|
|
|
|
# Enable all targets in XLA
|
|
build:cpu_cross --define=with_cross_compiler_support=true
|
|
|
|
# Disable XLA on mobile.
|
|
build:xla --define=with_xla_support=true # TODO: remove, it's on by default.
|
|
build:android --define=with_xla_support=false
|
|
build: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
|
|
build:resultstore --google_default_credentials
|
|
build:resultstore --bes_backend=buildeventservice.googleapis.com
|
|
build:resultstore --bes_instance_name="tensorflow-testing"
|
|
build:resultstore --bes_results_url="https://source.cloud.google.com/results/invocations"
|
|
build:resultstore --bes_timeout=600s
|
|
|
|
# Flag to enable remote config
|
|
common --experimental_repo_remote_exec
|
|
|
|
# Make Bazel not try to probe the host system for a C++ toolchain.
|
|
build:rbe_base --config=resultstore
|
|
build:rbe_base --repo_env=BAZEL_DO_NOT_DETECT_CPP_TOOLCHAIN=1
|
|
build:rbe_base --define=EXECUTOR=remote
|
|
build:rbe_base --jobs=800
|
|
build:rbe_base --remote_executor=grpcs://remotebuildexecution.googleapis.com
|
|
build:rbe_base --remote_timeout=3600
|
|
build:rbe_base --spawn_strategy=remote,worker,standalone,local
|
|
# Attempt to minimize the amount of data transfer between bazel and the remote
|
|
# workers:
|
|
build: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.
|
|
build:rbe_linux --config=rbe_base
|
|
build: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
|
|
build:rbe_linux --config=avx_linux
|
|
# TODO(gunan): Check why we need this specified in rbe, but not in other builds.
|
|
build:rbe_linux --linkopt=-lrt
|
|
build:rbe_linux --host_linkopt=-lrt
|
|
build:rbe_linux --linkopt=-lm
|
|
build:rbe_linux --host_linkopt=-lm
|
|
|
|
build:rbe_linux_cpu --config=rbe_linux
|
|
# Linux cpu and cuda builds share the same toolchain now.
|
|
build:rbe_linux_cpu --host_crosstool_top="@local_config_cuda//crosstool:toolchain"
|
|
build:rbe_linux_cpu --crosstool_top="@local_config_cuda//crosstool:toolchain"
|
|
build:rbe_linux_cpu --extra_toolchains="@local_config_cuda//crosstool:toolchain-linux-x86_64"
|
|
build:rbe_linux_cpu --repo_env=CC="/usr/lib/llvm-18/bin/clang"
|
|
build:rbe_linux_cpu --repo_env=TF_SYSROOT="/dt9"
|
|
build:rbe_linux_cpu --extra_execution_platforms="@sigbuild-r2.17-clang_config_platform//:platform"
|
|
build:rbe_linux_cpu --host_platform="@sigbuild-r2.17-clang_config_platform//:platform"
|
|
build:rbe_linux_cpu --platforms="@sigbuild-r2.17-clang_config_platform//:platform"
|
|
# This is needed for all Clang17 builds but must not be present in GCC builds.
|
|
build: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.
|
|
build:rbe_linux_cpu --copt=-Wno-gnu-offsetof-extensions
|
|
# Python config is the same across all containers because the binary is the same
|
|
build: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
|
|
|
|
# TODO(kanglan): Remove it after toolchain update is complete.
|
|
build:rbe_linux_cpu_old --config=rbe_linux
|
|
build:rbe_linux_cpu_old --host_crosstool_top="@ubuntu20.04-gcc9_manylinux2014-cuda11.2-cudnn8.1-tensorrt7.2_config_cuda//crosstool:toolchain"
|
|
build:rbe_linux_cpu_old --crosstool_top="@ubuntu20.04-gcc9_manylinux2014-cuda11.2-cudnn8.1-tensorrt7.2_config_cuda//crosstool:toolchain"
|
|
build:rbe_linux_cpu_old --extra_toolchains="@ubuntu20.04-gcc9_manylinux2014-cuda11.2-cudnn8.1-tensorrt7.2_config_cuda//crosstool:toolchain-linux-x86_64"
|
|
build:rbe_linux_cpu_old --extra_execution_platforms="@ubuntu20.04-gcc9_manylinux2014-cuda11.2-cudnn8.1-tensorrt7.2_config_platform//:platform"
|
|
build:rbe_linux_cpu_old --host_platform="@ubuntu20.04-gcc9_manylinux2014-cuda11.2-cudnn8.1-tensorrt7.2_config_platform//:platform"
|
|
build:rbe_linux_cpu_old --platforms="@ubuntu20.04-gcc9_manylinux2014-cuda11.2-cudnn8.1-tensorrt7.2_config_platform//:platform"
|
|
build: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
|
|
|
|
build:rbe_linux_cuda --config=cuda_clang_official
|
|
build:rbe_linux_cuda --config=rbe_linux_cpu
|
|
# For Remote build execution -- GPU configuration
|
|
build:rbe_linux_cuda --repo_env=REMOTE_GPU_TESTING=1
|
|
|
|
build:rbe_linux_cuda_nvcc --config=rbe_linux_cuda
|
|
build:rbe_linux_cuda_nvcc --config=nvcc_clang
|
|
build:rbe_linux_cuda_nvcc --repo_env TF_NCCL_USE_STUB=1
|
|
|
|
build:rbe_win_base --config=rbe_base
|
|
build:rbe_win_base --shell_executable=C:\\tools\\msys64\\usr\\bin\\bash.exe
|
|
build:rbe_win_base --remote_instance_name=projects/tensorflow-testing/instances/windows
|
|
# Don't build the python zip archive in the RBE build.
|
|
build:rbe_win_base --remote_download_minimal
|
|
build:rbe_win_base --enable_runfiles
|
|
build:rbe_win_base --nobuild_python_zip
|
|
build:rbe_win_base --define=override_eigen_strong_inline=true
|
|
|
|
build:rbe_win_clang --config=rbe_win_base
|
|
build:rbe_win_clang --crosstool_top="//tensorflow/tools/toolchains/win/20240424:toolchain"
|
|
build:rbe_win_clang --extra_toolchains="//tensorflow/tools/toolchains/win/20240424:cc-toolchain-x64_windows-clang-cl"
|
|
build:rbe_win_clang --extra_execution_platforms="//tensorflow/tools/toolchains/win:x64_windows-clang-cl"
|
|
build:rbe_win_clang --host_platform="//tensorflow/tools/toolchains/win:x64_windows-clang-cl"
|
|
build:rbe_win_clang --platforms="//tensorflow/tools/toolchains/win:x64_windows-clang-cl"
|
|
build:rbe_win_clang --compiler=clang-cl
|
|
build:rbe_win_clang --linkopt=/FORCE:MULTIPLE
|
|
build:rbe_win_clang --host_linkopt=/FORCE:MULTIPLE
|
|
|
|
# TODO(belitskiy): Rename `rbe_win_clang` to this, once done switching presubmits.
|
|
build:rbe_windows_x86_cpu --config=rbe_win_clang
|
|
|
|
# END TF REMOTE BUILD EXECUTION OPTIONS
|
|
|
|
# TFLite build configs for generic embedded Linux
|
|
build:elinux --crosstool_top=@local_config_embedded_arm//:toolchain
|
|
build:elinux --host_crosstool_top=@bazel_tools//tools/cpp:toolchain
|
|
build:elinux_aarch64 --config=elinux
|
|
build:elinux_aarch64 --cpu=aarch64
|
|
build:elinux_armhf --config=elinux
|
|
build:elinux_armhf --cpu=armhf
|
|
build: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
|
|
try-import %workspace%/xla_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
|
|
build:release_base --config=cpu_cross
|
|
|
|
# Ensure release_base is set on linux
|
|
build: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.
|
|
build:release_linux_base --copt=-Wno-gnu-offsetof-extensions
|
|
build:release_linux_base --copt=-Wno-error=array-parameter
|
|
build:release_linux_base --copt=-Wno-error=unused-command-line-argument
|
|
# Set lld as the linker.
|
|
build:release_linux_base --linkopt="-fuse-ld=lld"
|
|
build:release_linux_base --linkopt="-lm"
|
|
|
|
# We have some invalid linker scripts in the build,
|
|
# so we need to disable this check
|
|
build:release_linux_base --linkopt=-Wl,--undefined-version
|
|
|
|
# Container environment settings below this point.
|
|
# Use Python 3.X as installed in container image
|
|
build:release_linux_base --action_env PYTHON_BIN_PATH="/usr/bin/python3"
|
|
build:release_linux_base --action_env PYTHON_LIB_PATH="/usr/lib/tf_python"
|
|
build:release_linux_base --python_path="/usr/bin/python3"
|
|
# Set Clang as compiler. Use the actual path to clang installed in container.
|
|
build:release_linux_base --repo_env=CC="/usr/lib/llvm-18/bin/clang"
|
|
build:release_linux_base --repo_env=BAZEL_COMPILER="/usr/lib/llvm-18/bin/clang"
|
|
# 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
|
|
build:release_cpu_linux --config=release_linux_base
|
|
build:release_cpu_linux --crosstool_top="@local_config_cuda//crosstool:toolchain"
|
|
build:release_cpu_linux --repo_env=TF_SYSROOT="/dt9"
|
|
# Target the AVX instruction set
|
|
build:release_cpu_linux --config=avx_linux
|
|
|
|
build: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.
|
|
build: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
|
|
|
|
build:release_arm64_linux --config=release_linux_base
|
|
build:release_arm64_linux --config=linux_arm64
|
|
build:release_arm64_linux --crosstool_top="@ml2014_clang_aarch64_config_aarch64//crosstool:toolchain"
|
|
build:release_arm64_linux --config=mkl_aarch64_threadpool
|
|
build:release_arm64_linux --copt=-flax-vector-conversions
|
|
test:release_arm64_linux --flaky_test_attempts=3
|
|
|
|
# The old gcc linux build options are preserved in the unsupported_*_linux
|
|
# configs. If your project fails to build with Clang, you can use these
|
|
# unsupported flags to replace the release flags in your build command.
|
|
# However, please note that the old toolchain is no longer officially supported
|
|
# by TensorFlow and the unsupported configs will be removed soon b/299962977. We
|
|
# strongly recommend that you migrate to Clang as your compiler for TensorFlow
|
|
# Linux builds. Instructions are available in the official documentation:
|
|
# https://www.tensorflow.org/install/source#install_clang_recommended_linux_only
|
|
# Another good option is to use our Docker containers to build and test TF:
|
|
# https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/tf_sig_build_dockerfiles.
|
|
build:unsupported_cpu_linux --config=avx_linux
|
|
build:unsupported_cpu_linux --crosstool_top="@ubuntu20.04-gcc9_manylinux2014-cuda11.2-cudnn8.1-tensorrt7.2_config_cuda//crosstool:toolchain"
|
|
test:unsupported_cpu_linux --test_env=LD_LIBRARY_PATH
|
|
test:unsupported_cpu_linux --config=release_base
|
|
|
|
build:unsupported_gpu_linux --config=cuda
|
|
build:unsupported_gpu_linux --config=unsupported_cpu_linux
|
|
build:unsupported_gpu_linux --action_env=TF_CUDA_VERSION="11"
|
|
build:unsupported_gpu_linux --action_env=TF_CUDNN_VERSION="8"
|
|
build:unsupported_gpu_linux --repo_env=TF_CUDA_COMPUTE_CAPABILITIES="sm_35,sm_50,sm_60,sm_70,sm_75,compute_80"
|
|
build:unsupported_gpu_linux --action_env=CUDA_TOOLKIT_PATH="/usr/local/cuda-11.2"
|
|
build:unsupported_gpu_linux --action_env=LD_LIBRARY_PATH="/usr/local/cuda:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda-11.1/lib64"
|
|
build:unsupported_gpu_linux --action_env=GCC_HOST_COMPILER_PATH="/dt9/usr/bin/gcc"
|
|
build:unsupported_gpu_linux --crosstool_top=@ubuntu20.04-gcc9_manylinux2014-cuda11.2-cudnn8.1-tensorrt7.2_config_cuda//crosstool:toolchain
|
|
|
|
build:release_cpu_macos --config=avx_linux
|
|
|
|
# Base build configs for macOS
|
|
build:release_macos_base --action_env DEVELOPER_DIR=/Applications/Xcode.app/Contents/Developer
|
|
build:release_macos_base --define=no_nccl_support=true --output_filter=^$
|
|
|
|
# Ensure release_base is set on mac
|
|
build:release_macos_base --config=release_base
|
|
|
|
# Build configs for macOS x86
|
|
build:release_macos_x86 --config=release_macos_base
|
|
# Build with the AVX instruction set when on macOS x86
|
|
build:release_macos_x86 --config=avx_linux
|
|
build:release_macos_x86 --cpu=darwin
|
|
# Target Catalina as the minimum compatible OS version
|
|
build:release_macos_x86 --macos_minimum_os=10.15
|
|
build:release_macos_x86 --action_env MACOSX_DEPLOYMENT_TARGET=10.15
|
|
|
|
# Build configs for macOS Arm64
|
|
build:release_macos_arm64 --config=release_macos_base
|
|
build:release_macos_arm64 --cpu=darwin_arm64
|
|
build:release_macos_arm64 --define=tensorflow_mkldnn_contraction_kernel=0
|
|
# Target Moneterey as the minimum compatible OS version
|
|
build:release_macos_arm64 --macos_minimum_os=12.0
|
|
build: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
|
|
build:release_cpu_windows --config=release_base
|
|
|
|
# TODO(kanglan): Update windows configs after b/289091160 is fixed
|
|
build:release_cpu_windows --config=avx_win
|
|
build:release_cpu_windows --define=no_tensorflow_py_deps=true
|
|
|
|
# Exclude TFRT integration for anything but Linux.
|
|
build:android --config=no_tfrt
|
|
build:macos --config=no_tfrt
|
|
build:windows --config=no_tfrt
|
|
build:rocm --config=no_tfrt
|
|
build: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
|
|
build: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.
|
|
build:tf_public_cache_push --config=tf_public_cache --remote_upload_local_results=true --google_default_credentials
|
|
# Public cache for macOS builds
|
|
build: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.
|
|
build: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.
|
|
|
|
# LIBTENSORFLOW TESTS are for building Libtensorflow archives. These are CUDA/CPU-agnostic.
|
|
test:linux_libtensorflow_test --config=cuda_wheel -- //tensorflow/tools/lib_package:libtensorflow_test //tensorflow/tools/lib_package:libtensorflow_java_test
|
|
build:linux_libtensorflow_build --config=cuda_wheel -- //tensorflow/tools/lib_package:libtensorflow.tar.gz //tensorflow/tools/lib_package:libtensorflow_jni.tar.gz //tensorflow/java:libtensorflow.jar //tensorflow/java:libtensorflow-src.jar //tensorflow/tools/lib_package:libtensorflow_proto.zip
|
|
|
|
# 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,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_oss_py38,-no_oss_py39,-no_oss_py310
|
|
test:linux_cpu_wheel_test_filters --build_tag_filters=-no_oss,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_oss_py38,-no_oss_py39,-no_oss_py310
|
|
test:linux_cpu_wheel_test_filters --test_lang_filters=py --test_size_filters=small,medium
|
|
test:linux_cpu_wheel_test --config=linux_cpu_wheel_test_filters -- //tensorflow/... -//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,-oss_excluded,-oss_serial,-benchmark-test,-no_cuda11,-no_oss_py38,-no_oss_py39,-no_oss_py310
|
|
test:linux_cuda_wheel_test_filters --build_tag_filters=gpu,requires-gpu,-no_gpu,-no_oss,-oss_excluded,-oss_serial,-benchmark-test,-no_cuda11,-no_oss_py38,-no_oss_py39,-no_oss_py310
|
|
test:linux_cuda_wheel_test_filters --test_lang_filters=py --test_size_filters=small,medium
|
|
test:linux_cuda_wheel_test --config=linux_cuda_wheel_test_filters -- //tensorflow/... -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/...
|
|
# ARM64 WHEEL
|
|
test:linux_arm64_wheel_test_filters --test_tag_filters=-no_oss,-no_aarch64,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_oss_py38,-no_oss_py39,-no_oss_py310
|
|
test:linux_arm64_wheel_test_filters --build_tag_filters=-no_oss,-no_aarch64,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_oss_py38,-no_oss_py39,-no_oss_py310
|
|
test:linux_arm64_wheel_test_filters --test_lang_filters=py --test_size_filters=small,medium
|
|
test:linux_arm64_wheel_test --config=linux_arm64_wheel_test_filters -- //tensorflow/... -//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/compiler/mlir/tfr/examples/customization:test_ops_test -//tensorflow/compiler/mlir/tfr/examples/mnist:mnist_ops_test -//tensorflow/compiler/mlir/tfr/examples/pad:pad_ops_test
|
|
# MACOS ARM64 WHEEL
|
|
test:macos_arm64_wheel_test_filters --test_tag_filters=-no_oss,-oss_excluded,-oss_serial,-no_oss_py39,-no_oss_py310,-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,-oss_excluded,-oss_serial,-no_oss_py39,-no_oss_py310,-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 --config=macos_arm64_wheel_test_filters -- //tensorflow/... -//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,-oss_excluded,-oss_serial,-no_oss_py38,-no_oss_py39,-no_oss_py310,-nomac,-no_mac,-mac_excluded,-v1only,-gpu,-tpu,-benchmark-test
|
|
test:macos_x86_wheel_test_filters --build_tag_filters=-no_oss,-oss_excluded,-oss_serial,-no_oss_py38,-no_oss_py39,-no_oss_py310,-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 --config=macos_x86_wheel_test_filters -- //tensorflow/... -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/... -//tensorflow/go/... -//tensorflow/java/... -//tensorflow/compiler/aot/...
|
|
|
|
# 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,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only
|
|
test:linux_cpu_pycpp_test_filters --build_tag_filters=-no_oss,-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/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/...
|
|
|
|
# LINUX CUDA PYCPP:
|
|
test:linux_cuda_pycpp_test_filters --test_tag_filters=-no_oss,-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,-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/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.
|
|
build:linux_arm64_pycpp_test_filters --test_tag_filters=-no_oss,-no_aarch64,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only
|
|
build:linux_arm64_pycpp_test_filters --build_tag_filters=-no_oss,-no_aarch64,-oss_excluded,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only
|
|
build: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?
|
|
build:linux_arm64_pycpp_test --config=linux_arm64_pycpp_test_filters -- //tensorflow/... -//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/compiler/mlir/tfr/examples/customization:test_ops_test -//tensorflow/compiler/mlir/tfr/examples/mnist:mnist_ops_test -//tensorflow/compiler/mlir/tfr/examples/pad:pad_ops_test -//tensorflow/python/tools:aot_compiled_test
|
|
# CROSS-COMPILE ARM64 PYCPP
|
|
build:cross_compile_linux_arm64_pycpp_test --config=linux_arm64_pycpp_test
|
|
# Tests that fail only when cross-compiled
|
|
build: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,-oss_excluded,-oss_serial,-no_oss_py39,-no_oss_py310,-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,-oss_excluded,-oss_serial,-no_oss_py39,-no_oss_py310,-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/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.
|
|
build:macos_x86_pycpp_test_filters --test_tag_filters=-no_oss,-oss_excluded,-oss_serial,-no_oss_py38,-no_oss_py39,-no_oss_py310,-nomac,-no_mac,-mac_excluded,-v1only,-gpu,-tpu,-benchmark-test
|
|
build:macos_x86_pycpp_test_filters --build_tag_filters=-no_oss,-oss_excluded,-oss_serial,-no_oss_py38,-no_oss_py39,-no_oss_py310,-nomac,-no_mac,-mac_excluded,-v1only,-gpu,-tpu,-benchmark-test
|
|
build:macos_x86_pycpp_test_filters --keep_going --test_lang_filters=cc,py --test_size_filters=small,medium
|
|
build:macos_x86_pycpp_test --config=macos_x86_pycpp_test_filters -- //tensorflow/... -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/go/... -//tensorflow/java/... -//tensorflow/tools/toolchains/... -//tensorflow/lite/... -//tensorflow/compiler/aot/...
|
|
# CROSS-COMPILE MACOS X86 PYCPP
|
|
build:cross_compile_macos_x86_pycpp_test --config=macos_x86_pycpp_test
|
|
build: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
|
|
test:windows_x86_cpu_pycpp_test_filters --test_tag_filters=-no_windows,-windows_excluded,-no_oss,-oss_excluded,-gpu,-tpu,-benchmark-test
|
|
test:windows_x86_cpu_pycpp_test_filters --build_tag_filters=-no_windows,-windows_excluded,-no_oss,-oss_excluded,-benchmark-test
|
|
test:windows_x86_cpu_pycpp_test_filters --test_lang_filters=cc,py --test_size_filters=small,medium --test_timeout="300,450,1200,3600"
|
|
test:windows_x86_cpu_pycpp_test_opts --copt=/d2ReducedOptimizeHugeFunctions --host_copt=/d2ReducedOptimizeHugeFunctions --dynamic_mode=off --build_tests_only
|
|
test:windows_x86_cpu_pycpp_test --config=windows_x86_cpu_pycpp_test_opts --config=windows_x86_cpu_pycpp_test_filters -- //tensorflow/... -//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.
|
|
build:cross_compile_base --host_cpu=k8
|
|
build:cross_compile_base --host_crosstool_top=//tensorflow/tools/toolchains/cross_compile/cc:cross_compile_toolchain_suite
|
|
build:cross_compile_base --extra_execution_platforms=//tensorflow/tools/toolchains/cross_compile/config:linux_x86_64
|
|
|
|
# XLA related settings for cross-compiled build. Certain paths are
|
|
# different in the XLA repo.
|
|
build:cross_compile_base_xla --host_cpu=k8
|
|
build:cross_compile_base_xla --host_crosstool_top=//tools/toolchains/cross_compile/cc:cross_compile_toolchain_suite
|
|
build:cross_compile_base_xla --extra_execution_platforms=//tools/toolchains/cross_compile/config:linux_x86_64
|
|
|
|
build:rbe_cross_compile_base --config=rbe_base
|
|
build:rbe_cross_compile_base --remote_instance_name=projects/tensorflow-testing/instances/default_instance
|
|
|
|
# XLA depends on some local Python headers that are configured as Genrule. They
|
|
# are present on the local host machine but not on the remote execution machine,
|
|
# leading to build failures. To resolve the issue, the following line is added
|
|
# to make sure all Genrule targets are excuted locally.
|
|
build:rbe_cross_compile_base_xla --config=rbe_cross_compile_base
|
|
build:rbe_cross_compile_base_xla --strategy=Genrule=standalone
|
|
|
|
# Due to the above strategy, all Genrule commands are executed locally, but the
|
|
# following actions invoke tools (E.g `flatc`, `llvm-tblgen`, etc.) that are
|
|
# only executabe on the RBE (x86) machine, so the strategy_regexp options are
|
|
# added to override and run the actions using remote strategy.
|
|
build:rbe_cross_compile_base_xla --strategy_regexp='Generating code from table.*=remote'
|
|
build:rbe_cross_compile_base_xla --strategy_regexp='Generating flatbuffer files.*=remote'
|
|
build:rbe_cross_compile_base_xla --strategy_regexp='Executing genrule @llvm-project.*=remote'
|
|
|
|
# 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
|
|
|
|
test:rbe_cross_compile_base_xla --config=rbe_cross_compile_base
|
|
|
|
# START LINUX AARCH64 CROSS-COMPILE CONFIGS
|
|
build:cross_compile_linux_arm64 --config=cross_compile_base
|
|
|
|
# Set the target CPU to Aarch64
|
|
build:cross_compile_linux_arm64 --platforms=//tensorflow/tools/toolchains/cross_compile/config:linux_aarch64
|
|
build:cross_compile_linux_arm64 --cpu=aarch64
|
|
build:cross_compile_linux_arm64 --crosstool_top=//tensorflow/tools/toolchains/cross_compile/cc:cross_compile_toolchain_suite
|
|
|
|
# XLA uses different paths for platforms and crosstool_top.
|
|
build:cross_compile_linux_arm64_xla --config=cross_compile_base_xla
|
|
build:cross_compile_linux_arm64_xla --platforms=//tools/toolchains/cross_compile/config:linux_aarch64
|
|
build:cross_compile_linux_arm64_xla --crosstool_top=//tools/toolchains/cross_compile/cc:cross_compile_toolchain_suite
|
|
|
|
# RBE cross-compile configs for Linux Aarch64
|
|
build:rbe_cross_compile_linux_arm64 --config=cross_compile_linux_arm64
|
|
build:rbe_cross_compile_linux_arm64 --config=rbe_cross_compile_base
|
|
test:rbe_cross_compile_linux_arm64 --config=rbe_cross_compile_base
|
|
|
|
# RBE cross-compile configs for XLA Linux Aarch64
|
|
build:rbe_cross_compile_linux_arm64_xla --config=cross_compile_linux_arm64_xla
|
|
build:rbe_cross_compile_linux_arm64_xla --config=rbe_cross_compile_base_xla
|
|
test:rbe_cross_compile_linux_arm64_xla --config=rbe_cross_compile_base_xla
|
|
|
|
# END LINUX AARCH64 CROSS-COMPILE CONFIGS
|
|
|
|
# START MACOS CROSS-COMPILE CONFIGS
|
|
build:cross_compile_macos_x86 --config=cross_compile_base
|
|
build:cross_compile_macos_x86 --config=nonccl
|
|
# Target Catalina (10.15) as the minimum supported OS
|
|
build:cross_compile_macos_x86 --action_env MACOSX_DEPLOYMENT_TARGET=10.15
|
|
|
|
# Set the target CPU to Darwin x86
|
|
build:cross_compile_macos_x86 --platforms=//tensorflow/tools/toolchains/cross_compile/config:darwin_x86_64
|
|
build:cross_compile_macos_x86 --cpu=darwin
|
|
build: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
|
|
# toolchain. Otherwise, oddly, RBE complains that a "docker container must be
|
|
# specified".
|
|
build:cross_compile_macos_x86 --extra_toolchains=//tensorflow/tools/toolchains/cross_compile/config:macos-x86-cross-compile-cc-toolchain
|
|
# Map --platforms=darwin_x86_64 to --cpu=darwin and vice-versa to make selects()
|
|
# and transistions that use these flags work.
|
|
build:cross_compile_macos_x86 --platform_mappings=tensorflow/tools/toolchains/cross_compile/config/platform_mappings
|
|
|
|
# RBE cross-compile configs for Darwin x86
|
|
build:rbe_cross_compile_macos_x86 --config=cross_compile_macos_x86 --remote_download_minimal
|
|
build:rbe_cross_compile_macos_x86 --bes_backend="" --bes_results_url="" --bes_timeout="0s"
|
|
build:rbe_cross_compile_macos_x86 --experimental_remote_build_event_upload="minimal"
|
|
build:rbe_cross_compile_macos_x86 --config=rbe_cross_compile_base
|
|
build:rbe_cross_compile_macos_x86 --bes_upload_mode=nowait_for_upload_complete
|
|
test:rbe_cross_compile_macos_x86 --config=rbe_cross_compile_base
|
|
# Increase the test timeout as tests often take longer on mac.
|
|
test:rbe_cross_compile_macos_x86 --test_timeout=300,450,1200,3600
|
|
# Limit jobs to 100 to avoid running into "out of memory" issues (b/316266643)
|
|
build:rbe_cross_compile_macos_x86 --jobs=100
|
|
test:rbe_cross_compile_macos_x86 --jobs=100
|
|
# END MACOS CROSS-COMPILE CONFIGS
|
|
# END CROSS-COMPILE CONFIGS
|
|
|
|
# Try to load the XLA warnings config if available
|
|
try-import %workspace%/warnings.bazelrc
|