"//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 = [

	}

	return cert, nil
}

// Attempt to parse the given private key DER block. OpenSSL 0.9.8 generates
// PKCS #1 private keys by default, while OpenSSL 1.0.0 generates PKCS #8 keys.
// OpenSSL ecparam generates SEC1 EC private keys for ECDSA. We try all three.
func parsePrivateKey(der []byte) (crypto.PrivateKey, error) {
	if key, err := x509.ParsePKCS1PrivateKey(der); err == nil {
		return key, nil
	}

			// Columns: Name, Desired, Current, Ready, Age
			expected: []metav1.TableRow{{Cells: []interface{}{"rc1", int64(0), int64(0), int64(0), "<unknown>"}}},
		},
		// Basic print replication controller with replicas; does not print containers or labels
		{
			rc: api.ReplicationController{
				ObjectMeta: metav1.ObjectMeta{
					Name:      "rc1",
					Namespace: "test-namespace",
				},
				Spec: api.ReplicationControllerSpec{