134 lines
5.1 KiB
Plaintext
134 lines
5.1 KiB
Plaintext
# Android configs. Bazel needs to have --cpu and --fat_apk_cpu both set to the
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# target CPU to build transient dependencies correctly. See
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# https://docs.bazel.build/versions/master/user-manual.html#flag--fat_apk_cpu
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build:android --crosstool_top=//external:android/crosstool
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build:android --host_crosstool_top=@bazel_tools//tools/cpp:toolchain
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build:android_arm --config=android
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build:android_arm --cpu=armeabi-v7a
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build:android_arm --fat_apk_cpu=armeabi-v7a
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build:android_arm64 --config=android
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build:android_arm64 --cpu=arm64-v8a
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build:android_arm64 --fat_apk_cpu=arm64-v8a
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# Sets the default Apple platform to macOS.
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build --apple_platform_type=macos
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# Config to use a mostly-static build and disable modular op registration
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# support (this will revert to loading TensorFlow with RTLD_GLOBAL in Python).
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# By default, TensorFlow will build with a dependence on
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# //tensorflow:libtensorflow_framework.so.
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build:monolithic --define framework_shared_object=false
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# For projects which use TensorFlow as part of a Bazel build process, putting
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# nothing in a bazelrc will default to a monolithic build. The following line
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# opts in to modular op registration support by default.
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build --define framework_shared_object=true
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# Please note that MKL on MacOS or windows is still not supported.
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# If you would like to use a local MKL instead of downloading, please set the
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# environment variable "TF_MKL_ROOT" every time before build.
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build:mkl --define=build_with_mkl=true --define=enable_mkl=true
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build:mkl --define=tensorflow_mkldnn_contraction_kernel=0
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build:mkl -c opt
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# This config option is used to enable MKL-DNN open source library only,
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# without depending on MKL binary version.
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build:mkl_open_source_only --define=build_with_mkl_dnn_only=true
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build:mkl_open_source_only --define=build_with_mkl=true --define=enable_mkl=true
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build:mkl_open_source_only --define=tensorflow_mkldnn_contraction_kernel=0
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build:download_clang --crosstool_top=@local_config_download_clang//:toolchain
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build:download_clang --define=using_clang=true
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build:download_clang --action_env TF_DOWNLOAD_CLANG=1
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# Instruct clang to use LLD for linking.
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# This only works with GPU builds currently, since Bazel sets -B/usr/bin in
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# auto-generated CPU crosstool, forcing /usr/bin/ld.lld to be preferred over
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# the downloaded one.
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build:download_clang_use_lld --linkopt='-fuse-ld=lld'
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# This config refers to building with CUDA available. It does not necessarily
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# mean that we build CUDA op kernels.
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build:using_cuda --define=using_cuda=true
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build:using_cuda --action_env TF_NEED_CUDA=1
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build:using_cuda --crosstool_top=@local_config_cuda//crosstool:toolchain
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# This config refers to building CUDA op kernels with nvcc.
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build:cuda --config=using_cuda
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build:cuda --define=using_cuda_nvcc=true
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# This config refers to building CUDA op kernels with clang.
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build:cuda_clang --config=using_cuda
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build:cuda_clang --define=using_cuda_clang=true
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build:cuda_clang --define=using_clang=true
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build:tensorrt --action_env TF_NEED_TENSORRT=1
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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 --action_env TF_NEED_ROCM=1
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build:sycl --crosstool_top=@local_config_sycl//crosstool:toolchain
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build:sycl --define=using_sycl=true
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build:sycl --action_env TF_NEED_OPENCL_SYCL=1
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build:sycl_nodouble --config=sycl
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build:sycl_nodouble --cxxopt -DTENSORFLOW_SYCL_NO_DOUBLE
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build:sycl_nodouble --config=sycl
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build:sycl_asan --copt -fno-omit-frame-pointer --copt -fsanitize-coverage=3 --copt -DGPR_NO_DIRECT_SYSCALLS --linkopt -fPIC --linkopt -fsanitize=address
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build:sycl_nodouble --config=sycl
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build:sycl_trisycl --define=using_trisycl=true
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# Options extracted from configure script
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build:gdr --define=with_gdr_support=true
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build:ngraph --define=with_ngraph_support=true
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build:verbs --define=with_verbs_support=true
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build:numa --define=with_numa_support=true
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# Options to disable default on features
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build:noaws --define=no_aws_support=true
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build:nogcp --define=no_gcp_support=true
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build:nohdfs --define=no_hdfs_support=true
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build:nokafka --define=no_kafka_support=true
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build:noignite --define=no_ignite_support=true
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build:nonccl --define=no_nccl_support=true
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build --define=use_fast_cpp_protos=true
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build --define=allow_oversize_protos=true
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build --spawn_strategy=standalone
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build --strategy=Genrule=standalone
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build -c opt
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# Make Bazel print out all options from rc files.
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build --announce_rc
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# Other build flags.
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build --define=grpc_no_ares=true
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# Modular TF build options
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build:dynamic_kernels --define=dynamic_loaded_kernels=true
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build:dynamic_kernels --copt=-DAUTOLOAD_DYNAMIC_KERNELS
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# Build TF with C++ 17 features.
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build:c++17 --cxxopt=-std=c++1z
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build:c++17 --cxxopt=-stdlib=libc++
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build:c++1z --config=c++17
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# Default paths for TF_SYSTEM_LIBS
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build --define=PREFIX=/usr
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build --define=LIBDIR=$(PREFIX)/lib
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build --define=INCLUDEDIR=$(PREFIX)/include
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# Suppress all warning messages.
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build:short_logs --output_filter=DONT_MATCH_ANYTHING
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# Default options should come above this line
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# Options from ./configure
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try-import %workspace%/.tf_configure.bazelrc
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# Put user-specific options in .bazelrc.user
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try-import %workspace%/.bazelrc.user
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