(TF_ResourceApplyFtrlV2Op $var, $accum, $linear, $grad, $lr, $l1, $l2,
     (TF_ConstOp (GetScalarOfType<0> $lr_power)), $lr_power, $use_locking, $multiply_linear_by_lr)>;

// TODO(kramm): Remove use_locking. The old bridge doesn't use this, either.
def DecomposeResourceApplyFtrlV2: Pattern<
  (TF_ResourceApplyFtrlV2Op:$src_op $var, $accum, $linear, $grad, $lr, $l1, $l2,
     $l2_shrinkage, $lr_power, $use_locking, $multiply_linear_by_lr),

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

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

# This flag forcibly disables experimental MLIR bridge support.
config_setting(
    name = "disable_mlir_bridge",

    Extract the islands containing a TPU cluster computation into an outlined
    function in a nested module. This will allow to run the usual bridge on this
    nested module which now exhibits a more friendly "V2-like" structure.
    This is only intended for V1 compatibility mode where the bridge runs without
    feed/fetches on session create/extend.

    So given e.g.

    ```mlir
      func @test() -> tensor<i32> {

        if (ruleMethod.getTypeParameters().length > 0) {
            problems.add(ruleMethod, "Cannot have type variables (i.e. cannot be a generic method)");
        }

        // TODO validations on method: synthetic, bridge methods, varargs, abstract, native
        ModelType<?> returnType = ModelType.returnType(ruleMethod);
        if (returnType.isRawClassOfParameterizedType()) {

  for (const auto& device : devices.device_names()) {
    if (device.has_type && device.type == "CPU" && device.id == 0) {
      if (!host_device->empty()) {
        // TODO(hanxiongwang): Remove this warning when TF API to bridge
        // interface is understood.
        LOG(WARNING) << "Found multiple CPU:0 host devices";
        if (device.job == "chief")
          *host_device =

// type` with `tf.XlaLaunch` ops.
std::unique_ptr<OperationPass<ModuleOp>> CreateXlaRewritePass();

// Create a pass that validates the input graph to the CPU/GPU bridge.
std::unique_ptr<OperationPass<ModuleOp>> CreateXlaValidateInputsPass();
}  // namespace TFDevice

namespace TFTPU {
// Creates a pass that converts unified compilation and replication

    iptables -w -t nat -I PREROUTING -p tcp ! -i eth0 -d "${METADATA_SERVER_IP}" --dport 8080 -m comment --comment "metadata-concealment: bridge traffic to metadata server goes to metadata proxy" -j DNAT --to-destination 169.254.169.252:987
  fi

import org.apache.maven.artifact.InvalidArtifactRTException;
import org.apache.maven.artifact.InvalidRepositoryException;
import org.apache.maven.artifact.repository.ArtifactRepository;
import org.apache.maven.bridge.MavenRepositorySystem;
import org.apache.maven.internal.impl.InternalSession;
import org.apache.maven.internal.impl.resolver.DefaultModelCache;
import org.apache.maven.internal.impl.resolver.DefaultModelRepositoryHolder;

// Rather than doing a direct byte for byte equivalency check, we check if the
// subject, public key, and SAN, if present, are equal. This prevents loops that
// are created by mutual cross-signatures, or other cross-signature bridge
// oddities.
func alreadyInChain(candidate *Certificate, chain []*Certificate) bool {
	type pubKeyEqual interface {
		Equal(crypto.PublicKey) bool
	}

	var candidateSAN *pkix.Extension

			IPV6Check = true
		}
	}

	if !isSecondaryControlPlane {
		checks = addCommonChecks(execer, cfg.KubernetesVersion, &cfg.NodeRegistration, checks)

		// Check if Bridge-netfilter and IPv6 relevant flags are set
		if ip := netutils.ParseIPSloppy(cfg.LocalAPIEndpoint.AdvertiseAddress); ip != nil {
			if !IPV4Check && netutils.IsIPv4(ip) {
				IPV4Check = true
			}