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

#include "tensorflow/compiler/mlir/lite/quantization/ir/QuantOps.h"

#include <numeric>

#include "llvm/ADT/StringRef.h"
#include "llvm/ADT/Twine.h"
#include "llvm/Support/MathExtras.h"
#include "mlir/Dialect/Quant/QuantTypes.h"  // from @llvm-project
#include "mlir/IR/BuiltinTypes.h"  // from @llvm-project

	stdNumTZ                                       // "-0700"  // always numeric
	stdNumSecondsTz                                // "-070000"
	stdNumShortTZ                                  // "-07"    // always numeric
	stdNumColonTZ                                  // "-07:00" // always numeric
	stdNumColonSecondsTZ                           // "-07:00:00"

 * <p>
 *  Each single {@link org.gradle.internal.serialize.graph.codecs.Binding binding} comprises:
 *  <ul>
 *     <li>a tag (a unique numeric identifier that represents the type the binding supports)
 *     <li>the {@link org.gradle.internal.serialize.graph.EncodingProvider encoding provider} {@link org.gradle.internal.serialize.graph.EncodingProvider producer}

server.mount_proc '/details' do |req, res|
    pathParts = req.path.split('/')
    headers = get_forward_headers(req)

    begin
        begin
          id = Integer(pathParts[-1])
        rescue
          raise 'please provide numeric product id'
        end
        details = get_book_details(id, headers)
        res.body = details.to_json
        res['Content-Type'] = 'application/json'
    rescue => error
        res.body = {'error' => error}.to_json

	LabelTags TagMap

	// NumericTags provide additional values for subsets of a sample.
	// Numeric tags are optionally associated to a label tag. The key
	// for NumericTags is the name of the LabelTag they are associated
	// to, or "" for numeric tags not associated to a label tag.
	NumericTags map[string]TagMap
}

// FlatValue returns the exclusive value for this node, computing the

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

#include "tensorflow/compiler/mlir/tensorflow/transforms/set_tpu_infeed_layout.h"

#include <algorithm>
#include <numeric>
#include <vector>

#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/Attributes.h"  // from @llvm-project
#include "mlir/IR/Builders.h"  // from @llvm-project

// Used in TFL Numeric Verify
struct NumericVerifySpec {
  // Whether to enable numeric verification
  bool verify_numeric = false;

  // Tolerance level from the quantized value for verification. If the tolerance
  // is very small(<0.1), only the stats of the diff is displayed.
  float error_tolerance = 5.0f;

  // Whether to verify numerical correctness layer by layer or by whole model

#ifndef TENSORFLOW_COMPILER_JIT_DEVICE_UTIL_H_
#define TENSORFLOW_COMPILER_JIT_DEVICE_UTIL_H_

#include <functional>
#include <memory>

#include "absl/container/flat_hash_map.h"
#include "absl/numeric/bits.h"
#include "absl/strings/string_view.h"
#include "absl/types/span.h"
#include "tensorflow/compiler/tf2xla/xla_op_registry.h"
#include "xla/status_macros.h"
#include "xla/statusor.h"

	}

	// Append port to address.
	if ip.To4() != nil {
		return fmt.Sprintf("%s:%d", addr, port)
	}
	return fmt.Sprintf("[%s]:%d", addr, port)
}

// EnsureSysctl sets a kernel sysctl to a given numeric value.
func EnsureSysctl(sysctl utilsysctl.Interface, name string, newVal int) error {
	if oldVal, _ := sysctl.GetSysctl(name); oldVal != newVal {
		if err := sysctl.SetSysctl(name, newVal); err != nil {

}

// isUntypedNumeric reports whether t is an untyped numeric type.
// Safe to call from types that are not fully set up.
func isUntypedNumeric(t Type) bool {
	// Alias and named types cannot denote untyped types
	// so there's no need to call Unalias or under, below.
	b, _ := t.(*Basic)
	return b != nil && b.info&IsUntyped != 0 && b.info&IsNumeric != 0
}

// IsInterface reports whether t is an interface type.