#ifndef TENSORFLOW_COMPILER_MLIR_QUANTIZATION_STABLEHLO_UTILS_STABLEHLO_TYPE_UTILS_H_
#define TENSORFLOW_COMPILER_MLIR_QUANTIZATION_STABLEHLO_UTILS_STABLEHLO_TYPE_UTILS_H_

#include "llvm/ADT/StringRef.h"
#include "mlir/IR/BuiltinAttributes.h"  // from @llvm-project
#include "mlir/Transforms/DialectConversion.h"  // from @llvm-project
#include "stablehlo/dialect/StablehloOps.h"  // from @stablehlo

//     tfl.CustomOp("RandomStandardNormal"), respectively.

#include <string>

#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/STLExtras.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/StringRef.h"
#include "llvm/Support/Debug.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/Dialect/Quant/QuantOps.h"  // from @llvm-project
#include "mlir/IR/Attributes.h"  // from @llvm-project

#ifndef TENSORFLOW_COMPILER_MLIR_TF2XLA_TRANSFORMS_TEST_UTILS_H_
#define TENSORFLOW_COMPILER_MLIR_TF2XLA_TRANSFORMS_TEST_UTILS_H_

#include "absl/strings/string_view.h"
#include "llvm/ADT/StringRef.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/tensorflow/utils/serialize_mlir_module_utils.h"
#include "tsl/platform/statusor.h"

namespace mlir {
namespace mhlo {

#include "tensorflow/compiler/mlir/tfr/integration/tfr_decompose_ctx.h"

#include <string>
#include <vector>

#include "absl/strings/str_cat.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/StringRef.h"
#include "llvm/Support/MemoryBuffer.h"
#include "llvm/Support/SMLoc.h"
#include "llvm/Support/SourceMgr.h"
#include "mlir/Dialect/Arith/IR/Arith.h"  // from @llvm-project

//   * has an attribute with the given `name`,
//   * and the attribute is an integer list of the form [1, X, Y, 1],
// and writes X, Y as 32-bit integer attribute to `x`, `y`.
bool TFIntListIs1XY1(Operation *op, StringRef name, IntegerAttr *x,
                     IntegerAttr *y);

// Returns true if the attribute is an integer list of the form [1, X, Y, 1].
bool TFIntListIs1XY1(Attribute attr);

#include <optional>
#include <string>
#include <unordered_set>

#include "absl/container/flat_hash_set.h"
#include "absl/log/log.h"
#include "absl/strings/string_view.h"
#include "llvm/ADT/StringRef.h"
#include "llvm/ADT/Twine.h"
#include "llvm/Support/Debug.h"
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/Location.h"  // from @llvm-project

#include "tensorflow/compiler/mlir/tf2xla/transforms/test_utils.h"

#include <gmock/gmock.h>
#include <gtest/gtest.h>
#include "absl/strings/string_view.h"
#include "llvm/ADT/StringRef.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/register_common_dialects.h"
#include "tensorflow/compiler/mlir/tensorflow/dialect_registration.h"

}

struct GetOpCostPass
    : mlir::PassWrapper<GetOpCostPass, OperationPass<func::FuncOp>> {
  MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(GetOpCostPass)

  llvm::StringRef getArgument() const final { return "tfl-get-op-cost"; }
  llvm::StringRef getDescription() const final {
    return "Get cost for every op";
  }
  void runOnOperation() override;
};

void GetOpCostPass::runOnOperation() {

    registry.insert<quant::QuantizationDialect,
                    quantfork::QuantizationForkDialect>();
  }

  StringRef getArgument() const final {
    // This is the argument used to refer to the pass in
    // the textual format (on the commandline for example).
    return "tf-to-quant";
  }
  StringRef getDescription() const final {
    // This is a brief description of the pass.
    return "Legalize TF to quant ops dialect";

//   * has an attribute with the given `name`,
//   * and the attribute is an integer list of the form [1, X, Y, 1],
// and writes X, Y as 32-bit integer attribute to `x`, `y`.
bool TFIntListIs1XY1(Operation *op, StringRef name, IntegerAttr *x,
                     IntegerAttr *y) {
  auto attr = op->getAttrOfType<ArrayAttr>(name);
  if (!attr) return false;

  auto elements = attr.getValue();
  if (elements.size() != 4 ||