/* GCC understands weak symbols and aliases; use its interface where
    possible, instead of embedded assembly language.  */
@@ -114,7 +119,8 @@
 /* Define ALIASNAME as a strong alias for NAME.  */
 # define strong_alias(name, aliasname) _strong_alias(name, aliasname)
 # define _strong_alias(name, aliasname) \
-  extern __typeof (name) aliasname __attribute__ ((alias (#name)));
+  extern __typeof (name) aliasname __attribute__ ((alias (#name))) \

  )

  if get_var(
      environ_cp, 'TF_OVERRIDE_EIGEN_STRONG_INLINE', 'Eigen strong inline',
      True, ('Would you like to override eigen strong inline for some C++ '
             'compilation to reduce the compilation time?'),
      'Eigen strong inline overridden.', 'Not overriding eigen strong inline, '
      'some compilations could take more than 20 mins.'):

# 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"

)

config_setting(
    name = "using_rocm_hipcc",
    define_values = {"using_rocm_hipcc": "true"},
)

config_setting(
    name = "override_eigen_strong_inline",
    define_values = {"override_eigen_strong_inline": "true"},
    visibility = ["//visibility:public"],
)

# This flag specifies whether TensorFlow 2.0 API should be built instead

    *   This does not change the minimum required version for building
        TensorFlow from source on Windows, but builds enabling
        `EIGEN_STRONG_INLINE` can take over 48 hours to compile without this
        flag. Refer to `configure.py` for more information about
        `EIGEN_STRONG_INLINE` and `/d2ReducedOptimizeHugeFunctions`.
    *   If either of the required DLLs, `msvcp140.dll` (old) or `msvcp140_1.dll`