#include <cstdint>

#include "mlir/Dialect/Quant/QuantTypes.h"  // from @llvm-project
#include "mlir/IR/BuiltinTypes.h"  // from @llvm-project
#include "mlir/IR/Location.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project
#include "mlir/IR/Operation.h"  // from @llvm-project
#include "mlir/IR/Types.h"  // from @llvm-project
#include "mlir/IR/Value.h"  // from @llvm-project

TEST(DeviceUtilTest, AddDeviceToOpNullDeviceSet) {
  mlir::MLIRContext context;
  mlir::OwningOpRef<mlir::ModuleOp> module_ref =
      mlir::ModuleOp::create(mlir::UnknownLoc::get(&context));

  AddDevicesToOp(*module_ref, /*device_set=*/nullptr);
  EXPECT_EQ((*module_ref)->getAttr("tf.devices"), nullptr);
}

TEST(DeviceUtilTest, GetDevicesFromOpNoDevicesAttribute) {
  mlir::MLIRContext context;

  static constexpr absl::string_view kName = "quant_ptq_pre_calibration";

  explicit PreCalibrationComponent(absl::Nonnull<MLIRContext*> ctx);

  absl::StatusOr<ModuleOp> Run(
      ModuleOp,
      const ::stablehlo::quantization::QuantizationConfig& config) override;

 private:
  absl::Nonnull<MLIRContext*> ctx_;
};

}  // namespace mlir::quant::stablehlo

#include <optional>
#include <string>

#include "absl/container/flat_hash_set.h"
#include "absl/status/status.h"
#include "absl/strings/string_view.h"
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project
#include "mlir/Pass/PassManager.h"  // from @llvm-project
#include "tensorflow/core/public/session.h"

namespace tensorflow {
namespace quantization {

#define TENSORFLOW_COMPILER_MLIR_LITE_EXPERIMENTAL_TAC_TRANSFORMS_DEVICE_TRANSFORM_H_

#include <string>

#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project
#include "mlir/IR/PatternMatch.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/lite/experimental/tac/common/targets.h"
#include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h"

#include "tensorflow/compiler/mlir/python/mlir_wrapper/mlir_wrapper.h"

#include "llvm/Support/SourceMgr.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project
#include "mlir/IR/Verifier.h"  // from @llvm-project
#include "mlir/Parser/Parser.h"  // from @llvm-project
#include "pybind11/pybind11.h"  // from @pybind11

#include "llvm/Support/MathExtras.h"
#include "mlir/Dialect/Quant/QuantTypes.h"  // from @llvm-project
#include "mlir/IR/BuiltinTypes.h"  // from @llvm-project
#include "mlir/IR/Location.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project
#include "mlir/IR/Operation.h"  // from @llvm-project
#include "mlir/IR/Types.h"  // from @llvm-project
#include "mlir/Support/LLVM.h"  // from @llvm-project

#include "absl/base/nullability.h"
#include "absl/status/statusor.h"
#include "absl/strings/string_view.h"
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project
#include "mlir/Pass/PassManager.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/quantization/stablehlo/cc/component.h"

//
// The following two functions are only used for mapping/excluding attributes
// which are inconsistent between TFG and TFE.
//
static mlir::LogicalResult FilterTfgSpecificArgResultAttributes(
    mlir::MLIRContext *context, mlir::ArrayRef<Type> types,
    mlir::ArrayAttr array_attr, llvm::SmallVector<mlir::Type> &output_types,
    llvm::SmallVector<mlir::DictionaryAttr> &output_attrs) {
  for (auto it : llvm::zip(

#include "llvm/Support/raw_ostream.h"
#include "mlir/IR/Builders.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/IR/Location.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project
#include "mlir/IR/Value.h"  // from @llvm-project
#include "mlir/IR/Verifier.h"  // from @llvm-project
#include "mlir/Support/FileUtilities.h"  // from @llvm-project