)

# This flag enables experimental MLIR support.
config_setting(
    name = "with_mlir_support",
    define_values = {"with_mlir_support": "true"},
    visibility = ["//visibility:public"],
)

# This flag forcibly enables experimental MLIR bridge support.
config_setting(
    name = "enable_mlir_bridge",
    define_values = {"enable_mlir_bridge": "true"},

      if ld_version_int is None:
        ld_version_int = convert_version_to_int(ld_version[4])

      # Enable if 'ld' version >= 2.35
      if ld_version_int >= 2035000:
        write_to_bazelrc(
            'build --copt="-DEIGEN_ALTIVEC_ENABLE_MMA_DYNAMIC_DISPATCH=1"')

  with_xla_support = environ_cp.get('TF_ENABLE_XLA', None)
  if with_xla_support is not None:
    write_to_bazelrc('build --define=with_xla_support=%s' %

        serialized_config.length());
  }

  if (use_tfrt) {
    // Set some test-only graph compiler options.
    TFE_OpSetAttrBool(op, "TFRT_TEST_enable_native_ops", false);
    TFE_OpSetAttrBool(op, "TFRT_TEST_enable_grappler", enable_grappler);
  }

  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  TFE_OpAddInput(op, m, status);

///
/// To ensure ABI and API compatibility, we have out-of-bounds data that is used
/// by both core TensorFlow and the plugin at load time. We don't include this
/// data in the structures here to prevent cases when padding/packing enabled by
/// different compiler options breaks compatibility. For more details about how
/// this is used, please consult next sections. Here we just wrap these tables

build:windows --host_copt=/d2ReducedOptimizeHugeFunctions

# Enable the runfiles symlink tree on Windows. This makes it possible to build
# the pip package on Windows without an intermediate data-file archive, as the
# build_pip_package script in its current form (as of Aug 2023) uses the
# runfiles symlink tree to decide what to put into the Python wheel.
startup --windows_enable_symlinks
build:windows --enable_runfiles

# Default paths for TF_SYSTEM_LIBS