#
# Names should be added to this file as:
#     Name <email address>
Raul Silvera <******@****.***>
Tipp Moseley <******@****.***>
Hyoun Kyu Cho <******@****.***>
Martin Spier <******@****.***>
Taco de Wolff <******@****.***>

			Annotations: map[string]string{kubetypes.ConfigSourceAnnotationKey: "file"},
		},
	}

	expectedPods := []*v1.Pod{
		{
			ObjectMeta: metav1.ObjectMeta{
				UID:         "999999999",
				Name:        "taco",
				Namespace:   "default",
				Annotations: map[string]string{kubetypes.ConfigSourceAnnotationKey: "api"},
			},
		},
		staticPod,
	}
	updates := append(expectedPods, mirrorPod)

# limitations under the License.
# ==============================================================================
"""Target aware conversion for TFLite model."""

from tensorflow.compiler.mlir.lite.experimental.tac.py_wrapper import _pywrap_tac_wrapper


def run_tac(model_path, targets, output_path):
  """Run target aware conversion for the given tflite model file.

  Args:
    model_path: Path to the tflite model file.

<?xml version="1.0" encoding="UTF-8"?>
<address xmlns:hoge="http://www.example.com/hoge">
	<item sex="male" custid="A12345">
		<name>鈴木太郎</name>
		<access kind="email"></access>
		<access kind="url">http://www.taro.com/</access>
		<image file="taro.png" />
	</item>
	<item sex="male" custid="B23456">
		<name>佐藤二朗</name>
		<access kind="email">******@****.***</access>
		<image file="jiro.png" />
	</item>
	<item sex="female" custid="C34567">

// RUN: tac-opt-all-backends -tfl-tac-filter='use-test-setting=true' %s -split-input-file -verify-diagnostics | FileCheck %s

// expected-remark@below {{Tac filter (0): filter type: function filter SKIP_TARGET_ANNOTATION, filter_pattern: "^testFunction"}}
// expected-remark@below {{Tac filter (1): filter type: function filter INCLUDE_TARGET_ANNOTATION, filter_pattern: "testFunctionInclude"}}
// expected-remark@below {{Tac filter (1) specified but not applied to any op}}

#include "tensorflow/core/public/session.h"
#include "tensorflow/lite/toco/model_flags.pb.h"
#include "tensorflow/lite/toco/toco_flags.pb.h"
#include "tensorflow/lite/toco/types.pb.h"
#include "tsl/platform/statusor.h"

namespace tensorflow {
namespace internal {

// Register all custom ops including user specified custom ops.
Status RegisterAllCustomOps(const toco::TocoFlags& toco_flags);

#include <unordered_set>

#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/op_or_arg_name_mapper.h"
#include "tensorflow/lite/toco/toco_flags.pb.h"

namespace tflite {
// Options for exporting to Flatbuffer.
struct FlatbufferExportOptions {
  // TocoFlags proto. The following fields are migrated.

#include "tensorflow/lite/toco/model_flags.pb.h"
#include "tensorflow/lite/toco/toco_flags.pb.h"

namespace tensorflow {

// Converts the given GraphDef to a TF Lite FlatBuffer string according to the
// given model flags, toco flags and debug information. Returns error status if
// it fails to convert the input.
absl::Status ConvertGraphDefToTFLiteFlatBuffer(
    const toco::ModelFlags& model_flags, toco::TocoFlags& toco_flags,

#include "tensorflow/lite/toco/model_flags.pb.h"
#include "tensorflow/lite/toco/toco_flags.pb.h"
#include "tensorflow/lite/toco/types.pb.h"
#include "tensorflow/lite/tools/optimize/reduced_precision_support.h"
#include "tsl/platform/errors.h"
#include "tsl/platform/statusor.h"

namespace tensorflow {

absl::Status ConvertGraphDefToTFLiteFlatBuffer(
    const toco::ModelFlags& model_flags, toco::TocoFlags& toco_flags,

#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/platform/types.h"
#include "tensorflow/lite/toco/model_flags.pb.h"
#include "tensorflow/lite/toco/toco_flags.pb.h"

namespace tensorflow {

// Converts the given Jax model to a TF Lite FlatBuffer
// string according to the given model flags, toco flags and tags. Returns error
// status if it fails to convert the input.