{"TFL_Quint8", "TFLite quint8 type"},
  });

  return *entries;
}

void EmitDynamicRangeOp(std::vector<Record *> &defs, raw_ostream *ostream) {
  std::string dynamic_quant_kernel_support_regex =
      "bool GetDynamicRangeQuantKernelSupport() { return true; }";
  raw_ostream &os = *ostream;
  std::vector<std::string> weight_only;
  llvm::sort(defs, LessRecord());

  CrashReproducerStream(llvm::StringRef name,
                        std::unique_ptr<llvm::raw_ostream> file)
      : name(name), ostream(std::move(file)) {}

  llvm::StringRef description() override { return name; }
  raw_ostream& os() override { return *ostream; }

 private:
  std::string name;
  std::unique_ptr<llvm::raw_ostream> ostream;
};

// MLIR crash reproducer which reports failures to the crash analysis system.

    return 2;
  }
  return 0;
}

static void EmitOptionBuilders(const RecordKeeper &record_keeper,
                               const std::vector<Record *> &defs,
                               raw_ostream *ostream) {
  raw_ostream &os = *ostream;

  const auto attr_type = record_keeper.getClass("Attr");
  for (const auto *def : defs) {
    const int has_options = HasOptions(*def);

};

// Reproducer stream that emits a reproducer to the given `llvm::raw_ostream`.
class ReproducerStream : public mlir::ReproducerStream {
 public:
  ReproducerStream(std::string name, std::unique_ptr<llvm::raw_ostream> os)
      : name_(std::move(name)), os_(std::move(os)) {}

  llvm::StringRef description() override { return name_; }

  llvm::raw_ostream& os() override { return *os_; }

 private:
  std::string name_;

    mlir::ModuleOp module_op, llvm::raw_ostream& output) {
  output << "\"";
  std::string serialized_module = SerializeMlirModule(module_op);
  llvm::printEscapedString(serialized_module, output);
  output << "\"";
  return mlir::success();
}

static mlir::LogicalResult MlirTfToHloTextTranslateFunction(
    mlir::ModuleOp module_op, llvm::raw_ostream& output) {

// type, e.g. `shape` constraint can be resolved if the value is a tensor of
// statically known shape.
LogicalResult IsStaticallyResolved(Value value, ValueConstraint constraint);

raw_ostream& operator<<(raw_ostream& os, const ValueConstraint& constraint);

// -------------------------------------------------------------------------- //
// ValuesConstraintSet.

      return success();
    if (constraint == ValueConstraint::kShape && tensor.hasStaticShape())
      return success();
  }

  return failure();
}

raw_ostream &operator<<(raw_ostream &os, const ValueConstraint &constraint) {
  auto str = [](ValueConstraint constraint) -> StringRef {
    switch (constraint) {
      case ValueConstraint::kRank:
        return "rank";

#include <algorithm>
#include <cctype>
#include <functional>
#include <memory>
#include <string>
#include <utility>
#include <vector>

#include "llvm/ADT/DenseMap.h"
#include "llvm/Support/raw_ostream.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/Support/TypeID.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/lite/experimental/tac/common/targets.h"

// This transformation pass transforms functional control flow operations in the
// TensorFlow dialect to their region based counterparts, i.e.,
// tf.If -> tf.IfRegion and tf.While -> tf.WhileRegion

#include "llvm/Support/raw_ostream.h"
#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

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

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

#include "llvm/Support/raw_ostream.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/DialectRegistry.h"  // from @llvm-project