// for each reachable function (including `func`). Each function is visited only
// once even if it's called from multiple places and/or recursively.
//
// The current implementation follows direct calls to `mlir::func::FuncOp` only
// and returns a `mlir::WalkResult::interrupt()` when it encounters a call whose
// callee cannot be resolved to `mlir::func::FuncOp`.
mlir::WalkResult WalkReachableFunctions(

 *  Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */

/*
 *  Contains CUnit error codes which can be used externally.
 *
 *  Aug 2001      Initial implementation.  (AK)
 *
 *  02/Oct/2001   Added proper Eror Codes. (AK)
 *
 *  13-Oct-2001   Added Error Codes for Duplicate TestGroup and Test. (AK)
 *

// required by the TensorFlow Graph(Def) to MLIR module conversion. It is only
// intended to be included by binaries.

#include <string>

#include "llvm/Support/CommandLine.h"

// Please see the implementation file for documentation of these options.

// Import options.
extern llvm::cl::opt<std::string> input_arrays;
extern llvm::cl::opt<std::string> input_dtypes;
extern llvm::cl::opt<std::string> input_shapes;

// and at most 10 arguments in Combine. Please contact
// ******@****.*** if you need more.
// Please note that the number of arguments to Combine is limited
// by the maximum arity of the implementation of tr1::tuple which is
// currently set at 10.

#ifndef GTEST_INCLUDE_GTEST_INTERNAL_GTEST_PARAM_UTIL_GENERATED_H_
#define GTEST_INCLUDE_GTEST_INTERNAL_GTEST_PARAM_UTIL_GENERATED_H_

    mutable scoped_ptr<const T> value_;
  };  // class ValuesInIteratorRangeGenerator::Iterator

  // No implementation - assignment is unsupported.
  void operator=(const ValuesInIteratorRangeGenerator& other);

  const ContainerType container_;
};  // class ValuesInIteratorRangeGenerator

// INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE.
//
// Stores a parameter value and later creates tests parameterized with that

// graph transformation logic on Tensorflow graphs before importing to MLIR. It
// serves as the source that provides the subgraphs requested by the savedmodel
// MLIR importer, and at the same time it allows the implementation of this
// class to transform the graph before feeding it to the importer.
class SavedModelMLIRImportInput {
 public:
  SavedModelMLIRImportInput(const MetaGraphDef* meta_graph_def,

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

/* NNAPI Hardware Implementation */
#ifndef TENSORFLOW_COMPILER_MLIR_LITE_EXPERIMENTAL_TAC_HARDWARES_NNAPI_HARDWARE_H_
#define TENSORFLOW_COMPILER_MLIR_LITE_EXPERIMENTAL_TAC_HARDWARES_NNAPI_HARDWARE_H_

// should allow registering a plugin graph optimizer with TensorFlow.
//
// Conventions:
//   * Struct prefix indicates whether struct fields should be filled by the
//     plugin or core implementation:
//     * Struct that should be filled by the plugin: `TP_OptimizerConfigs`,
//       `TP_Optimizer`, `TP_OptimizerRegistrationParams`
//     * Struct that should be filled by the proper: `TF_GrapplerItem`,

//
// This header file defines the Message class.
//
// IMPORTANT NOTE: Due to limitation of the C++ language, we have to
// leave some internal implementation details in this header file.
// They are clearly marked by comments like this:
//
//   // INTERNAL IMPLEMENTATION - DO NOT USE IN A USER PROGRAM.
//
// Such code is NOT meant to be used by a user directly, and is subject

// eventually should allow registering a profiler with TensorFlow.
//
// Conventions:
//   * Struct prefix indicates whether struct fields should be filled by the
//   plug-in or core TensorFlow implementation:
//     * TF_: Set/filled by core, unless marked otherwise.
//     * TP_: Set/filled by plug-in, unless marked otherwise.
//     * This prefix rule only applies to structures. Enumerations and methods