"//visibility:public",
    ],
    licenses = ["notice"],
)

flatbuffer_cc_library(
    name = "runtime_metadata_fbs",
    srcs = ["runtime_metadata.fbs"],
    compatible_with = get_compatible_with_portable(),
)

cc_library(
    name = "execution_metadata_exporter",
    srcs = [
        "execution_metadata_exporter.cc",
    ],
    hdrs = [
        "execution_metadata_exporter.h",
    ],
    deps = [

    ],
)

cc_library(
    name = "translate_cl_options",
    srcs = [
        "tf_mlir_translate_cl.cc",
    ],
    hdrs = [
        "tf_mlir_translate_cl.h",
    ],
    deps = [
        "@llvm-project//llvm:Support",
    ],
    alwayslink = 1,
)

cc_library(
    name = "export_graphdef",
    srcs = [
        "export_graphdef.cc",
    ],
    hdrs = [

    ],
)

td_library(
    name = "rewrite_util_td_files",
    srcs = [
        "rewrite_util.td",
    ],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "@llvm-project//mlir:OpBaseTdFiles",
    ],
)

cc_library(
    name = "rewrite_util",
    srcs = [
        "rewrite_util.cc",
    ],
    hdrs = [
        "rewrite_util.h",
    ],

    ],
)

cc_library(
    name = "size_utils",
    srcs = [
        "utils/size_utils.cc",
    ],
    hdrs = [
        "utils/size_utils.h",
    ],
    deps = [
        "@llvm-project//mlir:IR",
    ],
)

tf_cc_test(
    name = "size_utils_test",
    size = "small",
    srcs = ["utils/size_utils_test.cc"],
    deps = [
        ":size_utils",

    default_visibility = [
        "//tensorflow/compiler/mlir/tf2xla/internal:__subpackages__",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "dialect_detection_utils",
    srcs = [
        "dialect_detection_utils.cc",
    ],
    hdrs = [
        "dialect_detection_utils.h",
    ],
    deps = [
        "//tensorflow/compiler/mlir/tensorflow",
        "//tensorflow/core:framework",

tf_cc_binary(
    name = "tfl_quantizer",
    srcs = [
        "tfl_quantizer.cc",
    ],
    deps = [
        ":quantize_model",
        "//tensorflow/compiler/mlir/lite/schema:schema_fbs",
        "//tensorflow/lite:framework",
        "//tensorflow/lite/c:c_api_types",
        "@llvm-project//llvm:Support",
    ],
)

tf_cc_test(
    name = "quantize_model_test",
    srcs = ["quantize_model_test.cc"],
    args = [

    ],
)

filegroup(
    name = "converter_python_api_hdrs",
    srcs = [
        "converter_python_api.h",
    ],
    visibility = [
        "//tensorflow/python:__subpackages__",
    ],
)

cc_library(
    name = "converter_python_api",
    srcs = ["converter_python_api.cc"],
    hdrs = ["converter_python_api.h"],
    features = ["-parse_headers"],

// type of Any
func MergeAnyWithAny(dst *anypb.Any, src *anypb.Any) (*anypb.Any, error) {
	// Assuming that Pilot is compiled with this type [which should always be the case]
	var err error

	// get an object of type used by this message
	dstX, err := dst.UnmarshalNew()
	if err != nil {
		return nil, err
	}

	// get an object of type used by this message
	srcX, err := src.UnmarshalNew()
	if err != nil {
		return nil, err

		},
		{
			sc: storage.StorageClass{
				ObjectMeta: metav1.ObjectMeta{
					Name:              "sc2",
					CreationTimestamp: metav1.Time{Time: time.Now().Add(-3e11)},
				},
				Provisioner: "kubernetes.io/nfs",
			},
			expected: []metav1.TableRow{{Cells: []interface{}{"sc2", "kubernetes.io/nfs", "Delete",
				"Immediate", false, "5m"}}},
		},
		{
			sc: storage.StorageClass{