#define TENSORFLOW_COMPILER_MLIR_QUANTIZATION_STABLEHLO_CC_CALIBRATION_STATISTICS_H_

#include <string>

#include "absl/container/flat_hash_map.h"
#include "absl/status/status.h"
#include "absl/status/statusor.h"
#include "absl/strings/string_view.h"
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/quantization/stablehlo/quantization_config.pb.h"

//
// Returns:
//   An absl::StatusOr containing the serialized bytecode of the StableHLO
//   module on success, or an error status on failure.
absl::StatusOr<std::string> PywrapSavedModelToStablehlo(
    absl::string_view input_path,
    const std::vector<std::string>& exported_model_signatures,
    const std::vector<std::string>& tag_names,
    absl::string_view input_arg_shapes_str);

        "//tensorflow/core/graph/regularization:util",
        "@com_google_absl//absl/container:flat_hash_map",
        "@com_google_absl//absl/container:flat_hash_set",
        "@com_google_absl//absl/container:inlined_vector",
        "@com_google_absl//absl/status",
        "@com_google_absl//absl/strings",
        "@com_google_absl//absl/types:optional",
        "@llvm-project//llvm:Support",

        "//tensorflow/core:core_cpu_base",
        "@com_google_absl//absl/algorithm:container",
        "@com_google_absl//absl/container:flat_hash_set",
        "@com_google_absl//absl/status",
        "@com_google_absl//absl/status:statusor",
        "@com_google_absl//absl/strings",
        "@com_google_absl//absl/strings:string_view",
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:IR",

#include "tensorflow/compiler/mlir/lite/experimental/tac/utils/utils.h"

#include <memory>
#include <string>
#include <utility>
#include <vector>

#include "absl/status/status.h"
#include "absl/status/statusor.h"
#include "absl/strings/str_format.h"
#include "absl/strings/string_view.h"
#include "llvm/Support/MemoryBuffer.h"
#include "llvm/Support/SMLoc.h"
#include "llvm/Support/SourceMgr.h"
#include "llvm/Support/ToolOutputFile.h"

  bool ForceMemoryGrowth() const { return platform_.force_memory_growth; }
  absl::StatusOr<std::unique_ptr<DeviceDescription>> DescriptionForDevice(
      int ordinal) const override;
  absl::StatusOr<StreamExecutor*> ExecutorForDevice(int ordinal) override;
  absl::StatusOr<StreamExecutor*> GetExecutor(
      const StreamExecutorConfig& config) override;
  absl::StatusOr<std::unique_ptr<StreamExecutor>> GetUncachedExecutor(

        "//tensorflow/core/tpu/kernels:tpu_util",
        "@com_google_absl//absl/container:flat_hash_set",
        "@com_google_absl//absl/log",
        "@com_google_absl//absl/status",
        "@com_google_absl//absl/strings",
        "@com_google_absl//absl/types:variant",
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:FuncDialect",
        "@llvm-project//mlir:IR",

    metadata_arg->set_dtype(dtype);
  }

  return absl::OkStatus();
}

absl::Status SetupReturnValues(mlir::ModuleOp module,
                               tpu::TPUCompileMetadataProto& metadata_proto) {
  auto main_fn = module.lookupSymbol<mlir::func::FuncOp>(kEntryFuncName);
  if (!main_fn) {
    return absl::InternalError("Could not find main function in MLIR Module.");
  }

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

#include <string>
#include <vector>

#include "absl/status/status.h"
#include "absl/strings/match.h"
#include "absl/strings/str_cat.h"
#include "absl/strings/str_split.h"
#include "llvm/Support/CommandLine.h"
#include "llvm/Support/ToolOutputFile.h"
#include "llvm/Support/raw_ostream.h"

#include <string>
#include <utility>

#include "absl/container/flat_hash_map.h"
#include "absl/container/flat_hash_set.h"
#include "absl/container/inlined_vector.h"
#include "absl/status/status.h"
#include "absl/strings/str_cat.h"
#include "absl/strings/string_view.h"
#include "absl/types/optional.h"
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/DenseSet.h"