_FusedBatchNormExOp::getOperationName());
    state.addOperands(batch_norm.getOperands());
    if (side_input) state.operands.push_back(side_input);
    state.addTypes(batch_norm.getResultTypes());
    state.addAttributes(batch_norm->getAttrs());
    Operation *op = rewriter.create(state);
    rewriter.replaceOp(batch_norm, op->getResults());

	if rule.SourceAddress != nil && !addressMatches(tracer.t, rule.SourceAddress, sourceIP) {
		return false
	}
	if rule.SourceType != nil {
		addrtype := "not-matched"
		if tracer.localIPs.Has(sourceIP) {
			addrtype = "LOCAL"
		}
		if !rule.SourceType.Matches(addrtype) {
			return false
		}
	}

	if rule.Protocol != nil && !rule.Protocol.Matches(protocol) {
		return false
	}

	// table for 'name'.
	NAME_GOTREF
	// Indicates that this is a reference to a TOC anchor.
	NAME_TOCREF
)

//go:generate stringer -type AddrType

type AddrType uint8

const (
	TYPE_NONE AddrType = iota
	TYPE_BRANCH
	TYPE_TEXTSIZE
	TYPE_MEM
	TYPE_CONST
	TYPE_FCONST
	TYPE_SCONST
	TYPE_REG
	TYPE_ADDR
	TYPE_SHIFT
	TYPE_REGREG
	TYPE_REGREG2

	if err := goodFunc(name, typ); err != nil {
		return reflect.Value{}, err
	}
	numIn := typ.NumIn()
	var dddType reflect.Type
	if typ.IsVariadic() {
		if len(args) < numIn-1 {
			return reflect.Value{}, fmt.Errorf("wrong number of args for %s: got %d want at least %d", name, len(args), numIn-1)
		}
		dddType = typ.In(numIn - 1).Elem()
	} else {
		if len(args) != numIn {

#define GET_OP_LIST
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_executor.cc.inc"
      >();

  addInterfaces<TensorFlowExecutorInlinerInterface,
                TensorFlowExecutorDialectFoldInterface>();

  addTypes<ControlType, TokenType>();
}

Type TensorFlowExecutorDialect::parseType(DialectAsmParser &parser) const {
  StringRef data_type;
  if (parser.parseKeyword(&data_type)) return Type();

class OperationState:
    def __init__(self, arg0: Location, arg1: str) -> None: ...
    def addOperands(self, arg0: list[Value]) -> None: ...
    def addRegion(self) -> Region: ...
    def addTypes(self, arg0: list[Type]) -> None: ...

class RankedTensorType(Type):
    def __init__(self, *args, **kwargs) -> None: ...
    def get(self, arg0: Type) -> RankedTensorType: ...

class Region:

type ComplexType struct {
	BasicType
}

// A BoolType represents a boolean type.
type BoolType struct {
	BasicType
}

// An AddrType represents a machine address type.
type AddrType struct {
	BasicType
}

// An UnspecifiedType represents an implicit, unknown, ambiguous or nonexistent type.
type UnspecifiedType struct {
	BasicType
}

// qualifiers

  // Create the TF op
  const std::string tf_op_full_name = absl::StrCat("tf.", node_def.op());
  mlir::OperationState op_state(loc, tf_op_full_name);
  op_state.addOperands(func.getArguments());
  op_state.addTypes(output_tys);
  op_state.addAttributes(attrs);
  mlir::Operation* tf_op = op_builder.create(op_state);
  op_builder.create<mlir::func::ReturnOp>(loc, tf_op->getResults());

  // Run the decompose passes on the module

    llvm::SmallVector<mlir::Type, 4> output_tys;
    for (int i = 0; i < custom_op.getNumResults(); i++) {
      output_tys.push_back(custom_op.getType(i));
    }
    op_state.addTypes(output_tys);
    op_state.addAttributes(attr);
    auto stablehlo_op = builder.create(op_state);
    custom_op.replaceAllUsesWith(stablehlo_op);
    custom_op.erase();
  });
}

ACCEPT     all  --  0.0.0.0/0            0.0.0.0/0            match-set KUBE-EXTERNAL-IP dst,dst PHYSDEV match ! --physdev-is-in ADDRTYPE match src-type !LOCAL
ACCEPT     all  --  0.0.0.0/0            0.0.0.0/0            match-set KUBE-EXTERNAL-IP dst,dst ADDRTYPE match dst-type LOCAL
```

## Run kube-proxy in IPVS mode