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

cc_library(
    name = "freeze_saved_model",
    srcs = ["freeze_saved_model.cc"],
    hdrs = ["freeze_saved_model.h"],
    deps = [
        "//tensorflow/cc/saved_model:loader",
        "//tensorflow/core:core_cpu",
        "//tensorflow/core:lib",

    ],
)

pytype_strict_library(
    name = "stablehlo",
    srcs = ["stablehlo.py"],
    srcs_version = "PY3",
    visibility = ["//visibility:public"],
    deps = [
        ":stablehlo_extension",
    ],
)

py_strict_test(
    name = "stablehlo_test",
    srcs = ["stablehlo_test.py"],
    python_version = "PY3",
    deps = [
        ":stablehlo",

	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 {

    default_visibility = [
        "//tensorflow/compiler/mlir/lite/experimental/tac:__subpackages__",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "tac_wrapper_lib",
    srcs = ["tac_wrapper.cc"],
    hdrs = [
        "tac_wrapper.h",
    ],
    deps = [
        "//tensorflow/compiler/mlir/lite/experimental/tac:common",

		// Leading src fragment.
		src = subtractb(src, (off+7)/8)
		if frag := off & 7; frag != 0 {
			bits |= uintptr(*src) >> (8 - frag) << nbits
			src = add1(src)
			nbits += frag
			c -= frag
		}
		// Main loop: load one byte, write another.
		// The bits are rotating through the bit buffer.
		for i := c / 8; i > 0; i-- {
			bits |= uintptr(*src) << nbits
			src = add1(src)

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

td_library(
    name = "QuantizationOpsTdFiles",
    srcs = [
        "QuantOps.td",
        "QuantOpsBase.td",
    ],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "@llvm-project//mlir:InferTypeOpInterfaceTdFiles",

# For more information, see: https://github.com/kubernetes/kubernetes/pull/91452
BIN.linux = pause
BIN.windows = pause wincat
BIN := ${BIN.${OS}}
SRCS.linux = linux/pause.c
SRCS.windows = windows/pause.c
SRCS := ${SRCS.${OS}}

EXTENSION.linux =
EXTENSION.windows = .exe
EXTENSION := ${EXTENSION.${OS}}

# The manifest command is still experimental as of Docker 18.09.3

    default_visibility = [":friends"],
    licenses = ["notice"],
)

package_group(
    name = "friends",
    packages = ["//tensorflow/..."],
)

tf_cuda_library(
    name = "mlir_c_api",
    srcs = [
        "c_api_unified_experimental_mlir.cc",
    ],
    copts = tf_copts(),
    deps = [
        "//tensorflow/c:c_api",
        "//tensorflow/c:tensor_interface",
        "//tensorflow/c:tf_status_helper",

	{"copy", `var src, dst []byte; copy(dst, src)`, `func([]byte, []byte) int`},
	{"copy", `type T [][]int; var src, dst T; _ = copy(dst, src)`, `func(p.T, p.T) int`},
	{"copy", `var src string; var dst []byte; copy(dst, src)`, `func([]byte, string) int`},
	{"copy", `type T string; type U []byte; var src T; var dst U; copy(dst, src)`, `func(p.U, p.T) int`},

        "//tensorflow/compiler/mlir/tensorflow:__pkg__",
        "//tensorflow/compiler/mlir/tfrt:__subpackages__",
    ],
    licenses = ["notice"],
)

td_library(
    name = "tensorflow_tfrt_ops_td_files",
    srcs = [
        "tfrt_ops.td",
    ],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "//tensorflow/compiler/mlir/tensorflow:tensorflow_ops_td_files",