var UntypedTypes = [...]*Type{
	constant.Bool:    UntypedBool,
	constant.String:  UntypedString,
	constant.Int:     UntypedInt,
	constant.Float:   UntypedFloat,
	constant.Complex: UntypedComplex,
}

// DefaultKinds maps from a constant.Kind to its default Kind.
var DefaultKinds = [...]Kind{
	constant.Bool:    TBOOL,
	constant.String:  TSTRING,
	constant.Int:     TINT,
	constant.Float:   TFLOAT64,

	}

	var kind types.Kind
	if n.Op() == ir.OUNSAFESLICEDATA {
		kind = types.TSLICE
	} else {
		/* kind is string */
		kind = types.TSTRING
	}

	if t.Kind() != kind {
		base.Errorf("invalid argument %L for %v", l, n.Op())
		n.SetType(nil)
		return n
	}

	if kind == types.TSTRING {
		t = types.ByteType
	} else {
		t = t.Elem()
	}
	n.SetType(types.NewPtr(t))
	return n
}

		// buffer during conversion. String concatenation does not
		// memorize the strings for later use, so it is safe.
		// However, we can do it only if there is at least one non-empty string literal.
		// Otherwise if all other arguments are empty strings,
		// concatstrings will return the reference to the temp string
		// to the caller.
		hasbyte := false

		haslit := false

limitations under the License.
==============================================================================*/

#include "tensorflow/compiler/mlir/tensorflow/utils/convert_tensor.h"

#include <cstring>
#include <initializer_list>

#include "mlir/IR/Attributes.h"  // from @llvm-project
#include "mlir/IR/Builders.h"  // from @llvm-project
#include "mlir/IR/BuiltinTypes.h"  // from @llvm-project

    /// Construct from a scalar value of an arithmetic type or a type that can
    /// be converted to a string (eg. a string literal).
    template <typename T, typename = typename std::enable_if<
                              std::is_arithmetic<T>::value ||
                              std::is_convertible<T, std::string>::value>::type>
    Initializer(const T& v) {  // NOLINT(runtime/explicit)

#include "tensorflow/c/experimental/saved_model/core/tf_saved_model_api.h"

#include <memory>
#include <string>
#include <unordered_set>
#include <vector>

#include "absl/algorithm/container.h"
#include "absl/container/flat_hash_map.h"
#include "absl/strings/str_split.h"
#include "absl/strings/string_view.h"
#include "absl/types/optional.h"
#include "tensorflow/c/eager/immediate_execution_context.h"

	config      *abi.ABIConfig
	regValues   *[]*Value // values assigned to registers accumulate here
}

func (c *registerCursor) String() string {
	dest := "<none>"
	if c.storeDest != nil {
		dest = fmt.Sprintf("%s+%d", c.storeDest.String(), c.storeOffset)
	}
	regs := "<none>"
	if c.regValues != nil {
		regs = ""
		for i, x := range *c.regValues {
			if i > 0 {
				regs = regs + "; "

		return nil
	}
	return idToType(t)
}

// string returns the string representation of the type associated with the typeId.
func (t typeId) string() string {
	if t.gobType() == nil {
		return "<nil>"
	}
	return t.gobType().string()
}

// Name returns the name of the type associated with the typeId.
func (t typeId) name() string {
	if t.gobType() == nil {
		return "<nil>"
	}

	// Forwards the Debug flags from gc
	Debug_checknil() bool
}

type Frontend interface {
	Logger

	// StringData returns a symbol pointing to the given string's contents.
	StringData(string) *obj.LSym

	// Given the name for a compound type, returns the name we should use
	// for the parts of that compound type.

// If explicit is true, then conversions from integer to string are
// also allowed.
func ConvertVal(v constant.Value, t *types.Type, explicit bool) constant.Value {
	switch ct := v.Kind(); ct {
	case constant.Bool:
		if t.IsBoolean() {
			return v
		}

	case constant.String:
		if t.IsString() {
			return v
		}

	case constant.Int:
		if explicit && t.IsString() {
			return tostr(v)
		}
		fallthrough