namespace tflite {

int8_t ConvertBuiltinCodeToDeprecatedBuiltinCode(
    const BuiltinOperator builtin_code);

// The following methods are for backward compatibility for the early version
// three, which does not have an extended builtin code.
flatbuffers::Offset<OperatorCode> CreateOperatorCode(
    flatbuffers::FlatBufferBuilder &_fbb,
    BuiltinOperator builtin_code = BuiltinOperator_ADD,

// the `builtin_code` as the right value.

BuiltinOperator GetBuiltinCode(const OperatorCode* op_code) {
  // Caller should guarantee that the given argument value is not a nullptr.
  TFLITE_DCHECK(op_code != nullptr);

  return std::max(
      op_code->builtin_code(),
      static_cast<BuiltinOperator>(op_code->deprecated_builtin_code()));
}

BuiltinOperator GetBuiltinCode(const OperatorCodeT* op_code) {

// problem. The new builtin operator will be assigned to the extended builtin
// code field in the flatbuffer schema. Those methods helps to hide builtin code
// details.
BuiltinOperator GetBuiltinCode(const OperatorCode *op_code);

BuiltinOperator GetBuiltinCode(const OperatorCodeT *op_code);

}  // namespace tflite

#include "tensorflow/compiler/mlir/lite/schema/schema_conversion_utils.h"

#include <algorithm>

namespace tflite {

int8_t ConvertBuiltinCodeToDeprecatedBuiltinCode(
    const BuiltinOperator builtin_code) {
  return (builtin_code < BuiltinOperator_PLACEHOLDER_FOR_GREATER_OP_CODES)
             ? static_cast<int8_t>(builtin_code)
             : static_cast<int8_t>(

struct CustomOpInfo {
  std::vector<std::int32_t> quantizable_input_indices;
  bool is_weight_only = false;
  bool no_side_effect = true;
};

using BuiltinOperatorSet = absl::flat_hash_set<tflite::BuiltinOperator>;
// Map from custom op code to custom op quantization information.
using CustomOpMap = std::unordered_map<std::string, CustomOpInfo>;

// Applies dynamic range quantization for the given model wehre the input_model