"//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",

        ":xla_cluster_formation",
        "@llvm-project//mlir:FuncDialect",
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Pass",
    ],
)

cc_library(
    name = "verify_clustering_pass",
    srcs = [
        "verify_clustering_pass.cc",
    ],
    deps = [
        ":clustering_passes_inc_gen",
        "//tensorflow/compiler/mlir/tensorflow",
        "//tensorflow/compiler/mlir/tensorflow:attribute_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 = [

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    default_visibility = [
        "//visibility:public",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "utils",
    srcs = [
        "utils.cc",
    ],
    hdrs = [
        "utils.h",
    ],
    deps = [
        "//tensorflow/compiler/mlir/lite:flatbuffer_translate_lib",
        "//tensorflow/compiler/mlir/lite:tensorflow_lite",

	for _, length := range lengths {
		p := make([]byte, length)
		_, _ = rand.Read(p)
		crcInit := uint32(rand.Int63())
		crc1 := crcFunc1(crcInit, p)
		crc2 := crcFunc2(crcInit, p)
		if crc1 != crc2 {
			t.Errorf("mismatch: 0x%x vs 0x%x (buffer length %d)", crc1, crc2, length)
		}
	}
}

// TestSimple tests the simple generic algorithm.
func TestSimple(t *testing.T) {

	}
	for i, tc := range testCases {
		ns, srch, opts, err := parseResolvConf(strings.NewReader(tc.data))
		if !tc.isErr {
			require.NoError(t, err)
			assert.EqualValues(t, tc.nameservers, ns, "test case [%d]: name servers", i)
			assert.EqualValues(t, tc.searches, srch, "test case [%d] searches", i)