visibility = ["//visibility:public"],
)

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

# By default, XLA GPU is compiled into tensorflow when building with
# --config=cuda even when `with_xla_support` is false. The config setting
# here allows us to override the behavior if needed.
config_setting(

            "//tensorflow/core/common_runtime/eager:tensor_handle",
            "//tensorflow/core/lib/llvm_rtti",
            "@com_google_absl//absl/types:variant",
        ],
    }) + select({
        "//tensorflow:with_xla_support": [
            "//tensorflow/compiler/jit",
            "//tensorflow/compiler/jit:xla_device",
            "//tensorflow/compiler/tf2xla:xla_compiler",
        ],
        "//conditions:default": [],

        "tf_datatype.h",
        "tf_tensor.h",
        "tf_tstring.h",
    ],
    visibility = [
        "//tensorflow:internal",
        "//tensorflow/c:__subpackages__",
    ],
    deps = selects.with_or({
        "//tensorflow:android": [
            "//tensorflow/core:portable_tensorflow_lib_lite",
        ],
        ("//tensorflow:chromiumos", "//tensorflow:fuchsia"): [
            ":tf_attrtype",