drawPaletted(dst0, r, src, sp, false)
				return
			}
		}
	case *image.NRGBA:
		if op == Src && mask == nil {
			if src0, ok := src.(*image.NRGBA); ok {
				d0 := dst0.PixOffset(r.Min.X, r.Min.Y)
				s0 := src0.PixOffset(sp.X, sp.Y)
				drawCopySrc(
					dst0.Pix[d0:], dst0.Stride, r, src0.Pix[s0:], src0.Stride, sp, 4*r.Dx())
				return
			}
		}
	case *image.NRGBA64:

    ],
)

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

cc_library(
    name = "test_utils",
    testonly = True,
    srcs = ["test_utils.cc"],
    hdrs = ["test_utils.h"],
    deps = [

		{
			name: "unquoted comment",
			rule: `-A KUBE-SVC-XPGD46QRK7WJZT7O -m comment --comment ns1/svc1:p80 -j KUBE-SEP-SXIVWICOYRO3J4NJ`,
			parsed: &Rule{
				Raw:     `-A KUBE-SVC-XPGD46QRK7WJZT7O -m comment --comment ns1/svc1:p80 -j KUBE-SEP-SXIVWICOYRO3J4NJ`,
				Chain:   iptables.Chain("KUBE-SVC-XPGD46QRK7WJZT7O"),
				Comment: &IPTablesValue{Value: "ns1/svc1:p80"},
				Jump:    &IPTablesValue{Value: "KUBE-SEP-SXIVWICOYRO3J4NJ"},
			},
		},
		{

        ":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",

tf_py_strict_test(
    name = "pywrap_quantize_model_test",
    srcs = [
        "pywrap_quantize_model_test.py",
    ],
    deps = [
        ":py_function_lib_py",
        ":pywrap_quantize_model",
        "//tensorflow:tensorflow_py",
        "//tensorflow/python/platform:client_testlib",
    ],
)

pytype_strict_library(
    name = "save_model",
    srcs = [
        "save_model.py",
    ],
    deps = [

		Start:                  src.Start,
		Limit:                  src.Limit,
		Offset:                 src.Offset,
		File:                   src.File,
		KernelRelocationSymbol: src.KernelRelocationSymbol,
		BuildID:                src.BuildID,
		HasFunctions:           src.HasFunctions,
		HasFilenames:           src.HasFilenames,
		HasLineNumbers:         src.HasLineNumbers,
		HasInlineFrames:        src.HasInlineFrames,
	}

    ]) + if_google([
        "//tensorflow/core/platform/default/build_config:test_main",
    ]),
)

filegroup(
    name = "quantize_header",
    srcs = ["quantize.h"],
    visibility = ["//visibility:public"],
)

cc_library(
    name = "tfcompile_lib",
    srcs = [
        "codegen.cc",
        "compile.cc",
        "flags.cc",
    ],
    hdrs = [
        "codegen.h",
        "compile.h",

// between). Otherwise the line is ignored.
func parseFlags(src []byte, flags *flag.FlagSet) error {
	// we must have a line comment that starts with a "-"
	const prefix = "//"
	if !bytes.HasPrefix(src, []byte(prefix)) {
		return nil // first line is not a line comment
	}
	src = src[len(prefix):]
	if i := bytes.Index(src, []byte("-")); i < 0 || len(bytes.TrimSpace(src[:i])) != 0 {
		return nil // comment doesn't start with a "-"
	}

	si := 0
	for strconv.IntSize >= 64 && len(src)-si >= 8 && len(dst)-n >= 8 {
		src2 := src[si : si+8]
		if dn, ok := assemble64(
			enc.decodeMap[src2[0]],
			enc.decodeMap[src2[1]],
			enc.decodeMap[src2[2]],
			enc.decodeMap[src2[3]],
			enc.decodeMap[src2[4]],
			enc.decodeMap[src2[5]],
			enc.decodeMap[src2[6]],
			enc.decodeMap[src2[7]],
		); ok {
			binary.BigEndian.PutUint64(dst[n:], dn)

	src_   = flag.String("src", "parser.go", "source file to parse")
	skip   = flag.String("skip", "", "files matching this regular expression are skipped by TestStdLib")
)

func TestParse(t *testing.T) {
	ParseFile(*src_, func(err error) { t.Error(err) }, nil, 0)
}

func TestVerify(t *testing.T) {
	ast, err := ParseFile(*src_, func(err error) { t.Error(err) }, nil, 0)
	if err != nil {