1 # Android configs. Bazel needs to have --cpu and --fat_apk_cpu both set to the 2 # target CPU to build transient dependencies correctly. See 3 # https://docs.bazel.build/versions/master/user-manual.html#flag--fat_apk_cpu 4 build:android --crosstool_top=//external:android/crosstool 5 build:android --host_crosstool_top=@bazel_tools//tools/cpp:toolchain 6 build:android_arm --config=android 7 build:android_arm --cpu=armeabi-v7a 8 build:android_arm --fat_apk_cpu=armeabi-v7a 9 build:android_arm64 --config=android 10 build:android_arm64 --cpu=arm64-v8a 11 build:android_arm64 --fat_apk_cpu=arm64-v8a 12 13 # Sets the default Apple platform to macOS. 14 build --apple_platform_type=macos 15 16 # Config to use a mostly-static build and disable modular op registration 17 # support (this will revert to loading TensorFlow with RTLD_GLOBAL in Python). 18 # By default, TensorFlow will build with a dependence on 19 # //tensorflow:libtensorflow_framework.so. 20 build:monolithic --define framework_shared_object=false 21 22 # For projects which use TensorFlow as part of a Bazel build process, putting 23 # nothing in a bazelrc will default to a monolithic build. The following line 24 # opts in to modular op registration support by default. 25 build --define framework_shared_object=true 26 27 # Please note that MKL on MacOS or windows is still not supported. 28 # If you would like to use a local MKL instead of downloading, please set the 29 # environment variable "TF_MKL_ROOT" every time before build. 30 build:mkl --define=build_with_mkl=true --define=enable_mkl=true 31 build:mkl --define=tensorflow_mkldnn_contraction_kernel=0 32 build:mkl -c opt 33 34 # This config option is used to enable MKL-DNN open source library only, 35 # without depending on MKL binary version. 36 build:mkl_open_source_only --define=build_with_mkl_dnn_only=true 37 build:mkl_open_source_only --define=build_with_mkl=true --define=enable_mkl=true 38 build:mkl_open_source_only --define=tensorflow_mkldnn_contraction_kernel=0 39 40 build:download_clang --crosstool_top=@local_config_download_clang//:toolchain 41 build:download_clang --define=using_clang=true 42 # Instruct clang to use LLD for linking. 43 # This only works with GPU builds currently, since Bazel sets -B/usr/bin in 44 # auto-generated CPU crosstool, forcing /usr/bin/ld.lld to be preferred over 45 # the downloaded one. 46 build:download_clang_use_lld --linkopt='-fuse-ld=lld' 47 48 build:cuda --crosstool_top=@local_config_cuda//crosstool:toolchain 49 build:cuda --define=using_cuda=true --define=using_cuda_nvcc=true 50 51 build:rocm --crosstool_top=@local_config_rocm//crosstool:toolchain 52 build:rocm --define=using_rocm=true --define=using_rocm_hipcc=true 53 54 build:cuda_clang --crosstool_top=@local_config_cuda//crosstool:toolchain 55 build:cuda_clang --define=using_cuda=true --define=using_cuda_clang=true --define=using_clang=true 56 57 build:sycl --crosstool_top=@local_config_sycl//crosstool:toolchain 58 build:sycl --define=using_sycl=true --define=using_trisycl=false 59 60 build:sycl_nodouble --crosstool_top=@local_config_sycl//crosstool:toolchain 61 build:sycl_nodouble --define=using_sycl=true --cxxopt -DTENSORFLOW_SYCL_NO_DOUBLE 62 63 build:sycl_asan --crosstool_top=@local_config_sycl//crosstool:toolchain 64 build:sycl_asan --define=using_sycl=true --define=using_trisycl=false --copt -fno-omit-frame-pointer --copt -fsanitize-coverage=3 --copt -DGPR_NO_DIRECT_SYSCALLS --linkopt -fPIC --linkopt -fsanitize=address 65 66 build:sycl_trisycl --crosstool_top=@local_config_sycl//crosstool:toolchain 67 build:sycl_trisycl --define=using_sycl=true --define=using_trisycl=true 68 69 # Options extracted from configure script 70 build:gdr --define=with_gdr_support=true 71 build:ngraph --define=with_ngraph_support=true 72 build:verbs --define=with_verbs_support=true 73 build:numa --define=with_numa_support=true 74 75 # Options to disable default on features 76 build:noaws --define=no_aws_support=true 77 build:nogcp --define=no_gcp_support=true 78 build:nohdfs --define=no_hdfs_support=true 79 build:nokafka --define=no_kafka_support=true 80 build:noignite --define=no_ignite_support=true 81 build:nonccl --define=no_nccl_support=true 82 83 build --define=use_fast_cpp_protos=true 84 build --define=allow_oversize_protos=true 85 86 build --spawn_strategy=standalone 87 build --strategy=Genrule=standalone 88 build -c opt 89 90 # Other build flags. 91 build --define=grpc_no_ares=true 92 93 # Modular TF build options 94 build:dynamic_kernels --define=dynamic_loaded_kernels=true 95 build:dynamic_kernels --copt=-DAUTOLOAD_DYNAMIC_KERNELS 96 97 # Build TF with C++ 17 features. 98 build:c++17 --cxxopt=-std=c++1z 99 build:c++17 --cxxopt=-stdlib=libc++ 100 build:c++1z --cxxopt=-std=c++1z 101 build:c++1z --cxxopt=-stdlib=libc++ 102 103 # Default paths for TF_SYSTEM_LIBS 104 build --define=PREFIX=/usr 105 build --define=LIBDIR=$(PREFIX)/lib 106 build --define=INCLUDEDIR=$(PREFIX)/include 107 108 # Disable MKL-DNN contraction kernels by default. 109 build --define=tensorflow_mkldnn_contraction_kernel=0 110 111 # Default options should come above this line 112 113 # Options from ./configure 114 try-import %workspace%/.tf_configure.bazelrc 115 116 # Put user-specific options in .bazelrc.user 117 try-import %workspace%/.bazelrc.user 118
