mirror of
https://github.com/ROCm/jax.git
synced 2025-04-17 04:16:07 +00:00
5132a188f7
This is the first step as part of the JAX CI rework project.
Changes:
* Adds new `ci_{os_name}_{arch}` configs that consolidates the different configs that we use in CI builds under a single config.
* Consolidates Python specific RBE Linux CPU and RBE Linux CUDA configs into Python agnostic `rbe_linux_x86_64` and `rbe_linux_x86_64_cuda`. These new RBE configs inherit the settings in the corresponding `ci_` config and pass in additional RBE specific flags such as platform details, remote execution backend, and authentication details. Hermetic Python version details will now be passed directly in the CI build scripts.
* Adds new RBE Windows configs.
* Removes JAVA flags from RBE configs. These are ignored from Bazel 5+. (See related TF PR: https://github.com/tensorflow/tensorflow/pull/54547)
* Renames some configs: `cuda_nvcc` is now `build_cuda_with_nvcc`, `cuda_clang` is now `build_cuda_with_clang`, `rbe_cross_compile_macos_x86` is now `rbe_cross_compile_darwin_x86_64`, `rbe_cross_compile_linux_arm64` is now `rbe_cross_compile_linux_aarch64`.
* Separates platform specific configs and feature specific configs into their own section.
* Removes unused `--define` configs
* Adds new test configs that will be used when running `bazel test`. `non_multiaccelerator` will be used in RBE Linux CUDA test builds, `non_multiaccelerator_local` and `multiaccelerator_local` will be used in Linux CUDA test builds which depend on local jaxlib and plugin wheels instead of building them along with the rest of the test targets.
* Replaces `--spawn_strategy=standalone` with `--spawn_strategy=local`. `standalone` has been [deprecated by Bazel](https://bazel.build/docs/user-manual#spawn-strategy).
PiperOrigin-RevId: 684532777
382 lines
18 KiB
Plaintext
382 lines
18 KiB
Plaintext
# #############################################################################
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# All default build options below. These apply to all build commands.
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# #############################################################################
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# Make Bazel print out all options from rc files.
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build --announce_rc
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# By default, execute all actions locally.
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build --spawn_strategy=local
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# Enable host OS specific configs. For instance, "build:linux" will be used
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# automatically when building on Linux.
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build --enable_platform_specific_config
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build --experimental_cc_shared_library
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# Do not use C-Ares when building gRPC.
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build --define=grpc_no_ares=true
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build --define=tsl_link_protobuf=true
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# Enable optimization.
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build -c opt
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# Suppress all warning messages.
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build --output_filter=DONT_MATCH_ANYTHING
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build --copt=-DMLIR_PYTHON_PACKAGE_PREFIX=jaxlib.mlir.
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# #############################################################################
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# Platform Specific configs below. These are automatically picked up by Bazel
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# depending on the platform that is running the build.
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# #############################################################################
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build:linux --config=posix
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build:linux --copt=-Wno-unknown-warning-option
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# Workaround for gcc 10+ warnings related to upb.
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# See https://github.com/tensorflow/tensorflow/issues/39467
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build:linux --copt=-Wno-stringop-truncation
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build:linux --copt=-Wno-array-parameter
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build:macos --config=posix
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build:macos --apple_platform_type=macos
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# Windows has a relatively short command line limit, which JAX has begun to hit.
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# See https://docs.bazel.build/versions/main/windows.html
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build:windows --features=compiler_param_file
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build:windows --features=archive_param_file
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# XLA uses M_* math constants that only get defined by MSVC headers if
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# _USE_MATH_DEFINES is defined.
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build:windows --copt=/D_USE_MATH_DEFINES
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build:windows --host_copt=/D_USE_MATH_DEFINES
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# Make sure to include as little of windows.h as possible
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build:windows --copt=-DWIN32_LEAN_AND_MEAN
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build:windows --host_copt=-DWIN32_LEAN_AND_MEAN
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build:windows --copt=-DNOGDI
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build:windows --host_copt=-DNOGDI
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# https://devblogs.microsoft.com/cppblog/announcing-full-support-for-a-c-c-conformant-preprocessor-in-msvc/
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# otherwise, there will be some compiling error due to preprocessing.
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build:windows --copt=/Zc:preprocessor
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build:windows --cxxopt=/std:c++17
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build:windows --host_cxxopt=/std:c++17
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# Generate PDB files, to generate useful PDBs, in opt compilation_mode
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# --copt /Z7 is needed.
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build:windows --linkopt=/DEBUG
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build:windows --host_linkopt=/DEBUG
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build:windows --linkopt=/OPT:REF
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build:windows --host_linkopt=/OPT:REF
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build:windows --linkopt=/OPT:ICF
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build:windows --host_linkopt=/OPT:ICF
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build:windows --incompatible_strict_action_env=true
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# #############################################################################
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# Feature-specific configurations. These are used by the Local and CI configs
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# below depending on the type of build. E.g. `local_linux_x86_64` inherits the
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# Linux x86 configs such as `avx_linux` and `mkl_open_source_only`,
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# `local_cuda_base` inherits `cuda` and `build_cuda_with_nvcc`, etc.
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# #############################################################################
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build:nonccl --define=no_nccl_support=true
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build:posix --copt=-fvisibility=hidden
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build:posix --copt=-Wno-sign-compare
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build:posix --cxxopt=-std=c++17
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build:posix --host_cxxopt=-std=c++17
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build:avx_posix --copt=-mavx
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build:avx_posix --host_copt=-mavx
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build:native_arch_posix --copt=-march=native
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build:native_arch_posix --host_copt=-march=native
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build:avx_linux --copt=-mavx
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build:avx_linux --host_copt=-mavx
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build:avx_windows --copt=/arch:AVX
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build:mkl_open_source_only --define=tensorflow_mkldnn_contraction_kernel=1
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# Disable clang extention that rejects type definitions within offsetof.
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# This was added in clang-16 by https://reviews.llvm.org/D133574.
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# Can be removed once upb is updated, since a type definition is used within
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# offset of in the current version of ubp.
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# See https://github.com/protocolbuffers/upb/blob/9effcbcb27f0a665f9f345030188c0b291e32482/upb/upb.c#L183.
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build:clang --copt=-Wno-gnu-offsetof-extensions
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# Disable clang extention that rejects unknown arguments.
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build:clang --copt=-Qunused-arguments
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# Configs for CUDA
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build:cuda --repo_env TF_NEED_CUDA=1
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build:cuda --repo_env TF_NCCL_USE_STUB=1
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# "sm" means we emit only cubin, which is forward compatible within a GPU generation.
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# "compute" means we emit both cubin and PTX, which is larger but also forward compatible to future GPU generations.
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build:cuda --repo_env HERMETIC_CUDA_COMPUTE_CAPABILITIES="sm_50,sm_60,sm_70,sm_80,compute_90"
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build:cuda --crosstool_top=@local_config_cuda//crosstool:toolchain
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build:cuda --@local_config_cuda//:enable_cuda
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build:cuda --@xla//xla/python:jax_cuda_pip_rpaths=true
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# Default hermetic CUDA and CUDNN versions.
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build:cuda --repo_env=HERMETIC_CUDA_VERSION="12.3.2"
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build:cuda --repo_env=HERMETIC_CUDNN_VERSION="9.1.1"
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# This flag is needed to include CUDA libraries for bazel tests.
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test:cuda --@local_config_cuda//cuda:include_cuda_libs=true
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# Force the linker to set RPATH, not RUNPATH. When resolving dynamic libraries,
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# ld.so prefers in order: RPATH, LD_LIBRARY_PATH, RUNPATH. JAX sets RPATH to
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# point to the $ORIGIN-relative location of the pip-installed NVIDIA CUDA
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# packages.
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# This has pros and cons:
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# * pro: we'll ignore other CUDA installations, which has frequently confused
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# users in the past. By setting RPATH, we'll always use the NVIDIA pip
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# packages if they are installed.
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# * con: the user cannot override the CUDA installation location
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# via LD_LIBRARY_PATH, if the nvidia-... pip packages are installed. This is
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# acceptable, because the workaround is "remove the nvidia-..." pip packages.
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# The list of CUDA pip packages that JAX depends on are present in setup.py.
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build:cuda --linkopt=-Wl,--disable-new-dtags
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# Build CUDA and other C++ targets with Clang
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build:build_cuda_with_clang --@local_config_cuda//:cuda_compiler=clang
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# Build CUDA with NVCC and other C++ targets with Clang
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build:build_cuda_with_nvcc --action_env=TF_NVCC_CLANG="1"
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build:build_cuda_with_nvcc --@local_config_cuda//:cuda_compiler=nvcc
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# Requires MSVC and LLVM to be installed
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build:win_clang --extra_toolchains=@local_config_cc//:cc-toolchain-x64_windows-clang-cl
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build:win_clang --extra_execution_platforms=//jax/tools/toolchains:x64_windows-clang-cl
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build:win_clang --compiler=clang-cl
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# Configs for building ROCM
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build:rocm --crosstool_top=@local_config_rocm//crosstool:toolchain
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build:rocm --define=using_rocm=true --define=using_rocm_hipcc=true
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build:rocm --repo_env TF_NEED_ROCM=1
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build:rocm --action_env TF_ROCM_AMDGPU_TARGETS="gfx900,gfx906,gfx908,gfx90a,gfx1030"
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# #############################################################################
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# Cache options below.
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# #############################################################################
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# Public read-only cache for Mac builds. JAX uses a GCS bucket to store cache
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# from JAX's Mac CI build. By applying --config=macos_cache, any local Mac build
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# should be able to read from this cache and potentially see a speedup. The
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# "oct2023" in the URL is just the date when the bucket was created and can be
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# disregarded. It still contains the latest cache that is being used.
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build:macos_cache --remote_cache="https://storage.googleapis.com/tensorflow-macos-bazel-cache/oct2023" --remote_upload_local_results=false
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# Cache pushes are limited to JAX's CI system.
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build:macos_cache_push --config=macos_cache --remote_upload_local_results=true --google_default_credentials
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# #############################################################################
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# CI Build config options below.
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# JAX uses these configs in CI builds for building artifacts and when running
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# Bazel tests.
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# #############################################################################
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# Linux x86 CI configs
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build:ci_linux_x86_64 --config=avx_linux --config=avx_posix
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build:ci_linux_x86_64 --config=mkl_open_source_only
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build:ci_linux_x86_64 --config=clang --verbose_failures=true
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# TODO(b/356695103): We do not have a CPU only toolchain so we use the CUDA
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# toolchain for both CPU and GPU builds.
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build:ci_linux_x86_64 --host_crosstool_top="@local_config_cuda//crosstool:toolchain"
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build:ci_linux_x86_64 --crosstool_top="@local_config_cuda//crosstool:toolchain"
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build:ci_linux_x86_64 --extra_toolchains="@local_config_cuda//crosstool:toolchain-linux-x86_64"
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build:ci_linux_x86_64 --repo_env=TF_SYSROOT="/dt9"
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# Clang path needs to be set for remote toolchain to be configured correctly.
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build:ci_linux_x86_64 --action_env=CLANG_CUDA_COMPILER_PATH="/usr/lib/llvm-18/bin/clang"
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# The toolchain in `--config=cuda` needs to be read before the toolchain in
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# `--config=ci_linux_x86_64`. Otherwise, we run into issues with manylinux
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# compliance.
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build:ci_linux_x86_64_cuda --config=cuda --config=build_cuda_with_nvcc
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build:ci_linux_x86_64_cuda --config=ci_linux_x86_64
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# Linux Aarch64 CI configs
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build:ci_linux_aarch64_base --config=clang --verbose_failures=true
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build:ci_linux_aarch64_base --action_env=TF_SYSROOT="/dt10"
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build:ci_linux_aarch64 --config=ci_linux_aarch64_base
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build:ci_linux_aarch64 --host_crosstool_top="@ml2014_clang_aarch64_config_aarch64//crosstool:toolchain"
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build:ci_linux_aarch64 --crosstool_top="@ml2014_clang_aarch64_config_aarch64//crosstool:toolchain"
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# CUDA configs for Linux Aarch64 do not pass in the crosstool_top flag from
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# above because the Aarch64 toolchain rule does not support building with NVCC.
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# Instead, we use `@local_config_cuda//crosstool:toolchain` from --config=cuda
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# and set `CLANG_CUDA_COMPILER_PATH` to define the toolchain so that we can
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# use Clang for the C++ targets and NVCC to build CUDA targets.
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build:ci_linux_aarch64_cuda --config=ci_linux_aarch64_base
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build:ci_linux_aarch64_cuda --config=cuda --config=build_cuda_with_nvcc
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build:ci_linux_aarch64_cuda --action_env=CLANG_CUDA_COMPILER_PATH="/usr/lib/llvm-18/bin/clang"
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# Mac x86 CI configs
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build:ci_darwin_x86_64 --macos_minimum_os=10.14
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build:ci_darwin_x86_64 --config=macos_cache_push
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build:ci_darwin_x86_64 --verbose_failures=true
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# Mac Arm64 CI configs
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build:ci_darwin_arm64 --macos_minimum_os=11.0
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build:ci_darwin_arm64 --config=macos_cache_push
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build:ci_darwin_arm64 --verbose_failures=true
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# Windows x86 CI configs
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build:ci_windows_amd64 --config=avx_windows
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build:ci_windows_amd64 --compiler=clang-cl --config=clang --verbose_failures=true
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build:ci_windows_amd64 --crosstool_top="@xla//tools/toolchains/win/20240424:toolchain"
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build:ci_windows_amd64 --extra_toolchains="@xla//tools/toolchains/win/20240424:cc-toolchain-x64_windows-clang-cl"
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build:ci_windows_amd64 --host_linkopt=/FORCE:MULTIPLE --linkopt=/FORCE:MULTIPLE
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# #############################################################################
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# RBE config options below. These inherit the CI configs above and set the
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# remote execution backend and authentication options required to run builds
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# with RBE. Linux x86 and Windows builds use RBE.
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# #############################################################################
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# Flag to enable remote config
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common --experimental_repo_remote_exec
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# Allow creation of resultstore URLs for any bazel invocation
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build:resultstore --google_default_credentials
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build:resultstore --bes_backend=buildeventservice.googleapis.com
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build:resultstore --bes_instance_name="tensorflow-testing"
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build:resultstore --bes_results_url="https://source.cloud.google.com/results/invocations"
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build:resultstore --bes_timeout=600s
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build:rbe --config=resultstore
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build:rbe --repo_env=BAZEL_DO_NOT_DETECT_CPP_TOOLCHAIN=1
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build:rbe --define=EXECUTOR=remote
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build:rbe --flaky_test_attempts=3
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build:rbe --jobs=200
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build:rbe --remote_executor=grpcs://remotebuildexecution.googleapis.com
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build:rbe --remote_timeout=3600
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build:rbe --spawn_strategy=remote,worker,standalone,local
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# Attempt to minimize the amount of data transfer between bazel and the remote
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# workers:
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build:rbe --remote_download_toplevel
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test:rbe --test_env=USER=anon
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# RBE configs for Linux x86
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# Set the remote worker pool
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common:rbe_linux_x86_64_base --remote_instance_name=projects/tensorflow-testing/instances/default_instance
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build:rbe_linux_x86_64_base --config=rbe
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build:rbe_linux_x86_64_base --action_env=PATH="/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/go/bin"
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build:rbe_linux_x86_64_base --linkopt=-lrt
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build:rbe_linux_x86_64_base --host_linkopt=-lrt
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build:rbe_linux_x86_64_base --linkopt=-lm
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build:rbe_linux_x86_64_base --host_linkopt=-lm
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# Set the host, execution, and target platform
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build:rbe_linux_x86_64_base --host_platform="@ubuntu20.04-clang_manylinux2014-cuda12.3-cudnn9.1_config_platform//:platform"
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build:rbe_linux_x86_64_base --extra_execution_platforms="@ubuntu20.04-clang_manylinux2014-cuda12.3-cudnn9.1_config_platform//:platform"
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build:rbe_linux_x86_64_base --platforms="@ubuntu20.04-clang_manylinux2014-cuda12.3-cudnn9.1_config_platform//:platform"
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build:rbe_linux_x86_64 --config=rbe_linux_x86_64_base
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build:rbe_linux_x86_64 --config=ci_linux_x86_64
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build:rbe_linux_x86_64_cuda --config=rbe_linux_x86_64_base
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build:rbe_linux_x86_64_cuda --config=ci_linux_x86_64_cuda
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build:rbe_linux_x86_64_cuda --repo_env=REMOTE_GPU_TESTING=1
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# RBE configs for Windows
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# Set the remote worker pool
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common:rbe_windows_amd64 --remote_instance_name=projects/tensorflow-testing/instances/windows
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build:rbe_windows_amd64 --config=rbe
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# Set the host, execution, and target platform
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build:rbe_windows_amd64 --host_platform="@xla//tools/toolchains/win:x64_windows-clang-cl"
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build:rbe_windows_amd64 --extra_execution_platforms="@xla//tools/toolchains/win:x64_windows-clang-cl"
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build:rbe_windows_amd64 --platforms="@xla//tools/toolchains/win:x64_windows-clang-cl"
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build:rbe_windows_amd64 --shell_executable=C:\\tools\\msys64\\usr\\bin\\bash.exe
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build:rbe_windows_amd64 --enable_runfiles
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build:rbe_windows_amd64 --define=override_eigen_strong_inline=true
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# Don't build the python zip archive in the RBE build.
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build:rbe_windows_amd64 --nobuild_python_zip
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build:rbe_windows_amd64 --config=ci_windows_amd64
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# #############################################################################
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# Cross-compile config options below. Native RBE support does not exist for
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# Linux Aarch64 and Mac x86. So, we use a cross-compile toolchain to build
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# targets for Linux Aarch64 and Mac x86 on the Linux x86 RBE pool.
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# #############################################################################
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# Set execution platform to Linux x86
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# Note: Lot of the "host_" flags such as "host_cpu" and "host_crosstool_top"
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# flags seem to be actually used to specify the execution platform details. It
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# seems it is this way because these flags are old and predate the distinction
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# between host and execution platform.
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build:cross_compile_base --host_cpu=k8
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build:cross_compile_base --host_crosstool_top=@xla//tools/toolchains/cross_compile/cc:cross_compile_toolchain_suite
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build:cross_compile_base --extra_execution_platforms=@xla//tools/toolchains/cross_compile/config:linux_x86_64
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# Linux Aarch64
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build:cross_compile_linux_aarch64 --config=cross_compile_base
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# Set the target CPU to Aarch64
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build:cross_compile_linux_aarch64 --platforms=@xla//tools/toolchains/cross_compile/config:linux_aarch64
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build:cross_compile_linux_aarch64 --cpu=aarch64
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build:cross_compile_linux_aarch64 --crosstool_top=@xla//tools/toolchains/cross_compile/cc:cross_compile_toolchain_suite
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build:rbe_cross_compile_base --config=rbe
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build:rbe_cross_compile_base --remote_instance_name=projects/tensorflow-testing/instances/default_instance
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# RBE cross-compile configs for Linux Aarch64
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build:rbe_cross_compile_linux_aarch64 --config=cross_compile_linux_aarch64
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build:rbe_cross_compile_linux_aarch64 --config=rbe_cross_compile_base
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# Mac x86
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build:cross_compile_darwin_x86_64 --config=cross_compile_base
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build:cross_compile_darwin_x86_64 --config=nonccl
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# Target Catalina (10.15) as the minimum supported OS
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build:cross_compile_darwin_x86_64 --action_env MACOSX_DEPLOYMENT_TARGET=10.15
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# Set the target CPU to Darwin x86
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build:cross_compile_darwin_x86_64 --platforms=@xla//tools/toolchains/cross_compile/config:darwin_x86_64
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build:cross_compile_darwin_x86_64 --cpu=darwin
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|
build:cross_compile_darwin_x86_64 --crosstool_top=@xla//tools/toolchains/cross_compile/cc:cross_compile_toolchain_suite
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|
# 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_darwin_x86_64 --extra_toolchains=@xla//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. The flag --platform_mappings needs
|
|
# to be set to a file that exists relative to the package path roots.
|
|
build:cross_compile_darwin_x86_64 --platform_mappings=platform_mappings
|
|
|
|
# RBE cross-compile configs for Darwin x86
|
|
build:rbe_cross_compile_darwin_x86_64 --config=cross_compile_darwin_x86_64
|
|
build:rbe_cross_compile_darwin_x86_64 --config=rbe_cross_compile_base
|
|
|
|
#############################################################################
|
|
# Some configs to make getting some forms of debug builds. In general, the
|
|
# codebase is only regularly built with optimizations. Use 'debug_symbols' to
|
|
# just get symbols for the parts of XLA/PJRT that jaxlib uses.
|
|
# Or try 'debug' to get a build with assertions enabled and minimal
|
|
# optimizations.
|
|
# Include these in a local .bazelrc.user file as:
|
|
# build --config=debug_symbols
|
|
# Or:
|
|
# build --config=debug
|
|
#
|
|
# Additional files can be opted in for debug symbols by adding patterns
|
|
# to a per_file_copt similar to below.
|
|
#############################################################################
|
|
|
|
build:debug_symbols --strip=never --per_file_copt="xla/pjrt|xla/python@-g3"
|
|
build:debug --config debug_symbols -c fastbuild
|
|
|
|
# Load `.jax_configure.bazelrc` file written by build.py
|
|
try-import %workspace%/.jax_configure.bazelrc
|
|
|
|
# Load rc file with user-specific options.
|
|
try-import %workspace%/.bazelrc.user
|
|
|
|
# Temporary aliases to not break existing presubmit builds
|
|
build:rbe_cpu_linux_py3.13 --config=rbe_linux_x86_64 --repo_env=HERMETIC_PYTHON_VERSION=3.13
|
|
build:rbe_linux_cuda12.3_nvcc_py3.10 --config=rbe_linux_x86_64_cuda --repo_env=HERMETIC_PYTHON_VERSION=3.10
|
|
build:rbe_cross_compile_linux_arm64 --config=rbe_cross_compile_linux_aarch64
|
|
build:tensorflow_testing_rbe_linux --project_id=tensorflow-testing
|
|
common:tensorflow_testing_rbe_linux --remote_instance_name=projects/tensorflow-testing/instances/default_instance |