"""Set GCC_HOST_COMPILER_PATH."""
  default_gcc_host_compiler_path = shutil.which('gcc') or ''

  gcc_host_compiler_path = prompt_loop_or_load_from_env(
      environ_cp,
      var_name='GCC_HOST_COMPILER_PATH',
      var_default=default_gcc_host_compiler_path,
      ask_for_var='Please specify which gcc should be used by nvcc as the host '
      'compiler.',
      check_success=os.path.exists,

build:rbe_linux_cpu --host_platform="@ml_build_config_platform//:platform"
build:rbe_linux_cpu --platforms="@ml_build_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

    * TensorFlow is now compiled with `_GLIBCXX_USE_CXX11_ABI=1`. Downstream projects that encounter `std::__cxx11` or `[abi:cxx11]` linker errors will need to adopt this compiler option. See [the GNU C++ Library docs on Dual ABI](https://gcc.gnu.org/onlinedocs/libstdc++/manual/using_dual_abi.html).