func printTags(w io.Writer, rpt *Report) error {
	p := rpt.prof

	o := rpt.options
	formatTag := func(v int64, key string) string {
		return measurement.ScaledLabel(v, key, o.OutputUnit)
	}

	// Hashtable to keep accumulate tags as key,value,count.
	tagMap := make(map[string]map[string]int64)
	for _, s := range p.Sample {
		for key, vals := range s.Label {
			for _, val := range vals {
				valueMap, ok := tagMap[key]

		return 0
	}
	d.linkctxt.Errorf(symIdx, "internal error: no entry for sym %d in rtmap\n", symIdx)
	return 0
}

// Find child by AT_name using hashtable if available or linear scan
// if not.
func findchild(die *dwarf.DWDie, name string) *dwarf.DWDie {
	var prev *dwarf.DWDie
	for ; die != prev; prev, die = die, walktypedef(die) {

// high-order bits of each hash to distinguish the entries
// within a single bucket.
//
// If more than 8 keys hash to a bucket, we chain on
// extra buckets.
//
// When the hashtable grows, we allocate a new array
// of buckets twice as big. Buckets are incrementally
// copied from the old bucket array to the new bucket array.
//
// Map iterators walk through the array of buckets and

        return DEFAULT.hashFile(file);
    }

    /**
     * Hash the given {@code hashable} instance with the default hash function.
     */
    public static HashCode hashHashable(Hashable hashable) {
        Hasher hasher = newHasher();
        hasher.put(hashable);
        return hasher.hash();
    }

    /**
     * The default hashing function.
     */

  let arguments = (ins
    TFL_TensorOf<[Complex<F<32>>, Complex<F<64>>]>:$input
  );

  let results = (outs
    TFL_TensorOf<[F32, F64]>:$output
  );
}

def TFL_HashtableOp: TFL_Op<"hashtable", []> {
  let summary = "Creates a non-initialized hash table.";
  let description = [{
This op creates a hash table, specifying the type of its keys and values.

*   Fixes a division by zero in TFLite's implementation of `DepthwiseConv`
    ([CVE-2021-29602](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-29602))
*   Fixes a division by zero in TFLite's implementation of hashtable lookup
    ([CVE-2021-29604](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-29604))
*   Fixes a integer overflow in TFLite concatentation

// Declare hash types so they can be instantiated below.

/// @brief TaggedValue hashing infrastructure, which uses absl::hash.
///
/// Hashable TaggedValues overload `AbslHashValue`. Non-hashable structures
/// return 0.
template <>
struct TaggedValueHash<TaggedValue> {
  size_t operator()(const TaggedValue& v) const;
};

/// @brief Hash implementation for TaggedValue Tuples.

//     consistent. For now, we require we know the current package
//     path so we can always expand symbol names. (Otherwise,
//     symbols with relocations are not considered hashable.)
//
// For now, we assume there is no circular dependencies among
// hashed symbols.
func (w *writer) contentHash(s *LSym) goobj.HashType {
	h := notsha256.New()
	var tmp [14]byte

    "PLACEHOLDER_FOR_GREATER_OP_CODES",
    "CUMSUM",
    "CALL_ONCE",
    "BROADCAST_TO",
    "RFFT2D",
    "CONV_3D",
    "IMAG",
    "REAL",
    "COMPLEX_ABS",
    "HASHTABLE",
    "HASHTABLE_FIND",
    "HASHTABLE_IMPORT",
    "HASHTABLE_SIZE",
    "REDUCE_ALL",
    "CONV_3D_TRANSPOSE",
    "VAR_HANDLE",
    "READ_VARIABLE",
    "ASSIGN_VARIABLE",

  );

  let results = (outs
    Res<TF_FloatTensor, [{`images` converted to RGB.}]>:$output
  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
}

def TF_HashTableOp : TF_Op<"HashTable", []> {
  let summary = "Creates a non-initialized hash table.";

  let description = [{
This op creates a hash table, specifying the type of its keys and values.