// created by cgo -cdefs and then converted to Go
// cgo -cdefs defs_netbsd.go defs_netbsd_amd64.go

package runtime

const (
	_EINTR  = 0x4
	_EFAULT = 0xe
	_EAGAIN = 0x23

	_O_WRONLY   = 0x1
	_O_NONBLOCK = 0x4
	_O_CREAT    = 0x200
	_O_TRUNC    = 0x400
	_O_CLOEXEC  = 0x400000

	_PROT_NONE  = 0x0
	_PROT_READ  = 0x1
	_PROT_WRITE = 0x2
	_PROT_EXEC  = 0x4

	_MAP_ANON    = 0x1000
	_MAP_PRIVATE = 0x2

  int subgraph_idx = 0;

  // Entry functions for signature defs.
  std::vector<FuncOp> entry_functions;
  std::vector<FuncOp> non_entry_functions;
  FuncOp main_fn = module_.lookupSymbol<FuncOp>("main");
  if (main_fn != nullptr) {
    // Treat the main function as a signature def when the given main function
    // contains on the tf.entry_function attribute.
    auto attrs =

)

cc_library(
    name = "types",
    hdrs = ["types.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [],
)

cc_library(
    name = "component",
    hdrs = ["component.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "//tensorflow/compiler/mlir/quantization/stablehlo:quantization_config_proto_cc",
        "@com_google_absl//absl/status:statusor",

)

cc_library(
    name = "tac-opt_lib",
    testonly = True,
    deps = [
        ":target_aware_conversion",
        "//tensorflow/compiler/mlir:tf_mlir_opt_main",
    ],
    alwayslink = 1,
)

# Binary with no hardwares linked.
tf_cc_binary(
    name = "tac-opt",
    testonly = True,
    deps = [
        ":tac-opt_lib",
    ],
)

# Binary with all backends linked.

)

cc_library(
    name = "iostream",
    srcs = [
        "iostream.cc",
    ],
    deps = [
        ":none",
        ":string",
        ":tensor_spec",
    ],
)

tf_cc_test(
    name = "iostream_test",
    size = "small",
    srcs = ["iostream_test.cc"],
    deps = [
        ":iostream",
        ":none",
        ":scalars",
        ":string",
        ":tensor_spec",

	sysStats  sysStatsAggregate
	cpuStats  cpuStatsAggregate
	gcStats   gcStatsAggregate
}

// ensure populates statistics aggregates determined by deps if they
// haven't yet been populated.
func (a *statAggregate) ensure(deps *statDepSet) {
	missing := deps.difference(a.ensured)
	if missing.empty() {
		return
	}
	for i := statDep(0); i < numStatsDeps; i++ {
		if !missing.has(i) {
			continue
		}

    hdrs = [
        "tf_mlir_translate_cl.h",
    ],
    deps = [
        "@llvm-project//llvm:Support",
    ],
    alwayslink = 1,
)

cc_library(
    name = "export_graphdef",
    srcs = [
        "export_graphdef.cc",
    ],
    hdrs = [
        "export_graphdef.h",
    ],
    visibility = ["//visibility:public"],
    deps = [
        ":export_tf_dialect_op",

func NewIPSet(name string, v6 bool, deps NetlinkIpsetDeps) (IPSet, error) {
	var err error
	set := IPSet{
		V4Name: fmt.Sprintf(V4Name, name),
		Deps:   deps,
		Prefix: name,
	}
	err = deps.ipsetIPHashCreate(set.V4Name, false)
	if v6 {
		set.V6Name = fmt.Sprintf(V6Name, name)
		v6err := deps.ipsetIPHashCreate(set.V6Name, true)
		err = errors.Join(err, v6err)
	}
	return set, err

    deps = [
        ":calibration_statistics_proto_cc",
        "@com_google_absl//absl/types:span",
    ],
)

cc_library(
    name = "calibration_statistics_collector_min_max",
    srcs = ["calibration_statistics_collector_min_max.cc"],
    hdrs = ["calibration_statistics_collector_min_max.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [

        "//tensorflow:__pkg__",
    ],
    licenses = ["notice"],
)

pytype_strict_library(
    name = "quantization",
    srcs = ["quantization.py"],
    visibility = ["//visibility:public"],
    deps = [
        ":pywrap_quantization",
        "//tensorflow/compiler/mlir/quantization/stablehlo:quantization_config_proto_py",
        "//tensorflow/compiler/mlir/quantization/tensorflow/python:py_function_lib_py",