limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_COMPILER_MLIR_LITE_PYTHON_JAX_TO_TFL_FLATBUFFER_H_
#define TENSORFLOW_COMPILER_MLIR_LITE_PYTHON_JAX_TO_TFL_FLATBUFFER_H_

#include <string>

#include "tensorflow/core/lib/core/errors.h"
#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/platform/types.h"

limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_COMPILER_MLIR_LITE_SCHEMA_SCHEMA_CONVERSION_UTILS_H_
#define TENSORFLOW_COMPILER_MLIR_LITE_SCHEMA_SCHEMA_CONVERSION_UTILS_H_

#include "flatbuffers/flatbuffers.h"
#include "tensorflow/compiler/mlir/lite/schema/schema_generated.h"

namespace tflite {

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

//go:build unix && !darwin

#ifndef _GNU_SOURCE // pthread_getattr_np
#define _GNU_SOURCE
#endif

#include <pthread.h>
#include "libcgo.h"

void
x_cgo_getstackbound(uintptr bounds[2])
{
	pthread_attr_t attr;
	void *addr;
	size_t size;

// This includes functions used for device registration and interfaces needed
// for testing.
#ifndef TENSORFLOW_C_EXPERIMENTAL_STREAM_EXECUTOR_STREAM_EXECUTOR_INTERNAL_H_
#define TENSORFLOW_C_EXPERIMENTAL_STREAM_EXECUTOR_STREAM_EXECUTOR_INTERNAL_H_

#include "tensorflow/c/experimental/stream_executor/stream_executor.h"
#include "tensorflow/c/tf_status_helper.h"

limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_COMPILER_MLIR_LITE_PYTHON_SAVED_MODEL_TO_TFL_FLATBUFFER_H_
#define TENSORFLOW_COMPILER_MLIR_LITE_PYTHON_SAVED_MODEL_TO_TFL_FLATBUFFER_H_

#include "tensorflow/compiler/mlir/quantization/tensorflow/python/py_function_lib.h"
#include "tensorflow/core/framework/graph.pb.h"

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

plugins {
    id("gradlebuild.distribution.api-java")
}

description = "Declarations to define JVM toolchains shared between launcher and daemon"

dependencies {
    api(libs.inject)
    api(libs.jsr305)

    api(project(":stdlib-java-extensions"))
    api(project(":base-services"))

             .getOps<TF::CalibrationStatisticsSaverOp>()
             .empty()) {
      return true;
    }
  }
  return false;
}

}  // namespace

#define GEN_PASS_DECL_INSERTCALIBRATIONSTATISTICSSAVERPASS
#define GEN_PASS_DEF_INSERTCALIBRATIONSTATISTICSSAVERPASS
#include "tensorflow/compiler/mlir/quantization/stablehlo/passes/passes.h.inc"

class InsertCalibrationStatisticsSaverPass

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

#ifndef TENSORFLOW_COMPILER_MLIR_LITE_EXPERIMENTAL_TAC_UTILS_UTILS_H_
#define TENSORFLOW_COMPILER_MLIR_LITE_EXPERIMENTAL_TAC_UTILS_UTILS_H_

#include <string>

#include "absl/status/status.h"
#include "absl/status/statusor.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project

    ],
)

gentbl_cc_library(
    name = "mlrt_ops_inc_gen",
    tbl_outs = [
        (
            ["-gen-op-decls"],
            "mlrt_ops.h.inc",
        ),
        (
            ["-gen-op-defs"],
            "mlrt_ops.cpp.inc",
        ),
    ],
    tblgen = "@llvm-project//mlir:mlir-tblgen",
    td_file = "mlrt_ops.td",
    deps = [":mlrt_td_files"],
)

cc_library(
    name = "mlrt_ops",

	htmlRouter := router.NewRoute().PathPrefix("/" + t.Prefix() + "z").Subrouter()
	jsonRouter := router.NewRoute().PathPrefix("/" + t.Prefix() + "j").Subrouter()

	tmpl := template.Must(template.Must(layout.Clone()).Parse("{{ define \"title\" }}" + t.Title() + "{{ end }}"))
	t.Activate(fw.NewContext(htmlRouter, jsonRouter, tmpl))
}

// getLocalIP returns a non loopback local IP of the host
func getLocalIP() string {