ctx->GetAttr("Tconstants", &constant_types));
  std::vector<int> constants(constant_types.size());
  std::iota(constants.begin(), constants.end(), 0);
  return constants;
}

std::vector<int> ResourcesVector(OpKernelConstruction* ctx) {
  DataTypeVector constant_types;
  OP_REQUIRES_OK_RETURN(ctx, std::vector<int>(),
                        ctx->GetAttr("Tconstants", &constant_types));

    cc_type v;                                                                 \
    auto* cc_ctx = reinterpret_cast<::tensorflow::OpKernelConstruction*>(ctx); \
    absl::Status s = cc_ctx->GetAttr(attr_name, &v);                           \
    ::tensorflow::Set_TF_Status_from_Status(status, s);                        \
    if (s.ok()) {                                                              \

                return new AnythingMatcher();
            }
            return new GreedyPathMatcher(compile(parts, pos, caseSensitive));
        }
        return new FixedStepPathMatcher(PatternStepFactory.getStep(parts.get(pos), caseSensitive), compile(parts, pos + 1, caseSensitive));
    }

    @VisibleForTesting
    static class DefaultPatternMatcher extends PatternMatcher {
        private final boolean partialMatchDirs;

	includeMx bool,
) []*listener.Filter {
	idleTimeout := destinationRule.GetTrafficPolicy().GetConnectionPool().GetTcp().GetIdleTimeout()
	if idleTimeout == nil {
		idleTimeout = parseDuration(lb.node.Metadata.IdleTimeout)
	}
	tcpProxy := &tcp.TcpProxy{
		StatPrefix:                      statPrefix,

func NewCachingConfigMapManager(kubeClient clientset.Interface, getTTL manager.GetObjectTTLFunc) Manager {
	getConfigMap := func(namespace, name string, opts metav1.GetOptions) (runtime.Object, error) {
		return kubeClient.CoreV1().ConfigMaps(namespace).Get(context.TODO(), name, opts)
	}
	configMapStore := manager.NewObjectStore(getConfigMap, clock.RealClock{}, getTTL, defaultTTL)
	return &configMapManager{

func NewCachingSecretManager(kubeClient clientset.Interface, getTTL manager.GetObjectTTLFunc) Manager {
	getSecret := func(namespace, name string, opts metav1.GetOptions) (runtime.Object, error) {
		return kubeClient.CoreV1().Secrets(namespace).Get(context.TODO(), name, opts)
	}
	secretStore := manager.NewObjectStore(getSecret, clock.RealClock{}, getTTL, defaultTTL)
	return &secretManager{

  void runOnOperation() override {
    auto module = getOperation();
    // If TFLite variable legalization is not allowed, then we skip this pass.
    if (auto legalize_tfl_variables_attr =
            module->getAttr(kLegalizeTflVariables)) {
      if (!mlir::cast<BoolAttr>(legalize_tfl_variables_attr).getValue()) return;
    }

    RewritePatternSet patterns(&getContext());
    populateWithGenerated(patterns);

             << type_string() << " on an XLA device. This should never happen.";
}

XlaAssignVariableOp::XlaAssignVariableOp(OpKernelConstruction* c)
    : OpKernel(c) {
  OP_REQUIRES_OK(c, c->GetAttr("dtype", &dtype_));
}

void XlaAssignVariableOp::Compute(OpKernelContext* context) {
  OP_REQUIRES(context, dtype_ == context->input(1).dtype(),
              errors::InvalidArgument(

    OpBuilder builder(op.getContext());
    SmallVector<Type> result_types(op.getResultTypes().begin(),
                                   op.getResultTypes().end());
    if (!op->getAttr("layout")) {
      auto layout = mlir::GetTPUInfeedLayout(result_types, builder);
      if (failed(layout)) return;

      op->setAttr("layout", layout.value());
    }
  }
};

    }
  }

  if (!in_order) {
    // Functions do not get reused in practice, so skip the check for if the
    // callee has been updated.
    StringAttr callee_sym = cluster_func_op.getFuncAttr().getAttr();
    MoveResourceArgsToEnd(symtab.lookup<func::FuncOp>(callee_sym));
  }
  builder.setInsertionPoint(cluster_func_op);
  auto xla_launch_op = builder.create<TF::XlaLaunchOp>(