name = gen_op_lib_exec,
        srcs = [src],
        srcs_version = "PY3",
        python_version = "PY3",
        deps = py_deps,
    )

    registered_op = "registered_" + name
    native.genrule(
        name = registered_op,
        srcs = [],
        outs = [name + ".inc.cc"],
        cmd = "$(location %s) --output=$@ --gen_register_op=true" % gen_op_lib_exec,
        tools = [":" + gen_op_lib_exec],

load("//tensorflow:strict.default.bzl", "py_strict_binary")
load("//tensorflow:tensorflow.bzl", "tf_cc_test")
load("//tensorflow:tensorflow.default.bzl", "filegroup", "genrule")
load("//tensorflow/compiler/aot:tfcompile.bzl", "tf_library")
load("//tensorflow/compiler/mlir:glob_lit_test.bzl", "glob_lit_tests")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    default_visibility = ["//visibility:private"],

        # because builds may run concurrently with tests, and tests need to be
        # able to assume that they have control of the full GPU.
        out_nodes_file = "out_nodes_" + freeze_name
        native.genrule(
            name = ("gen_" + out_nodes_file),
            srcs = [config],
            outs = [out_nodes_file],
            cmd = ("CUDA_VISIBLE_DEVICES='' " +
                   "$(location " + tfcompile_tool + ")" +

)

# Filter the DEF file to reduce the number of symbols to 64K or less.
# Note that we also write the name of the pyd file into DEF file so that
# the dynamic libraries of custom ops can find it at runtime.
genrule(
    name = "tensorflow_filtered_def_file",
    srcs = [":tensorflow_def_file"],
    outs = ["tensorflow_filtered_def_file.def"],
    cmd = select({
        "//tensorflow:windows": """

# are present on the local host machine but not on the remote execution machine,
# leading to build failures. To resolve the issue, the following line is added
# to make sure all Genrule targets are excuted locally.
build:rbe_cross_compile_base_xla --config=rbe_cross_compile_base
build:rbe_cross_compile_base_xla --strategy=Genrule=standalone

    TF_ASSIGN_OR_RETURN(std::unique_ptr<xla::HloSnapshot> module,
                        computation.Snapshot());
    // Serialize the HloSnapshot deterministically so that all the outputs of a
    // tf_library genrule are deterministic.
    const size_t size = module->ByteSizeLong();
    auto serialized = std::make_unique<char[]>(size);
    TF_RET_CHECK(
        SerializeToBufferDeterministic(*module, serialized.get(), size));

	if len(l.from) != len(r.from) {
		return false
	}
	for i, v := range l.from {
		if v != r.from[i] {
			return false
		}
	}
	return true
}

func (l *ConsolidatedDestRule) GetRule() *config.Config {
	if l == nil {
		return nil
	}
	return l.rule
}

func (l *ConsolidatedDestRule) GetFrom() []types.NamespacedName {
	if l == nil {
		return nil
	}
	return l.from

)

py_strict_binary(
    name = "gen_quantized_function_library",
    srcs = ["gen_quantized_function_library.py"],
    deps = [
        "@absl_py//absl:app",
        "@absl_py//absl/flags",
    ],
)

genrule(
    name = "quantized_function_library",
    srcs = [
        "passes/quantized_function_library_uniform_quantized.mlir",
        "passes/quantized_function_library.mlir",

				sniHosts = append(sniHosts, alt...)
			}
		}
		destinationRule := CastDestinationRule(node.SidecarScope.DestinationRule(
			model.TrafficDirectionOutbound, node, service.Hostname).GetRule())
		var destinationCIDRs []string
		if destinationCIDR != "" {
			destinationCIDRs = []string{destinationCIDR}
		}
		out = append(out, &filterChainOpts{
			sniHosts:         sniHosts,

				clusters = append(clusters, cb.buildWaypointInboundVIPCluster(proxy, svc, *port, "http").build())
			}
			cfg := cb.sidecarScope.DestinationRule(model.TrafficDirectionInbound, proxy, svc.Hostname).GetRule()
			if cfg != nil {
				destinationRule := cfg.Spec.(*networking.DestinationRule)
				for _, ss := range destinationRule.Subsets {
					if port.Protocol.IsUnsupported() || port.Protocol.IsTCP() {