if attrs.UID != nil {
			uid = *attrs.UID
		}
		if attrs.GID != nil {
			gid = *attrs.GID
		}
		inDev, outDev := "", ""
		if attrs.InDev != nil {
			ii, err := net.InterfaceByIndex(int(*attrs.InDev))
			if err == nil {
				inDev = ii.Name
			}
		}
		if attrs.OutDev != nil {
			ii, err := net.InterfaceByIndex(int(*attrs.OutDev))
			if err == nil {
				outDev = ii.Name
			}
		}
		iptablesTrace.WithLabels(

    (TFL_TransposeOp
      (TFL_ResizeBilinearOp
        (TFL_TransposeOp $input,
          (Arith_ConstantOp
            ConstantAttr<RankedI32ElementsAttr<[4]>,"{0, 2, 3, 1}">)),
        (Arith_ConstantOp:$output_size (GetI32DenseAttr (GetAsVectorAttr<"output"> $attrs))),
        (GetCompositeAttributeAs<"align_corners", "BoolAttr"> $attrs),
        ConstBoolAttrTrue,

    auto operand_size_attr = builder.getDenseI32ArrayAttr(operand_sizes);
    NamedAttrList attrs(send_op->getAttrs());
    attrs.set(send_op.getOperandSegmentSizeAttr(), operand_size_attr);

    AddOperandAndRewriteAs<XlaSendTPUEmbeddingGradientsOp>(send_op, dedup_op,
                                                           attrs, &builder);
  }
  return success();
}

void RewriteTPUEmbeddingOps::runOnOperation() {

}

func (f *filter) String() string {
	attrs := []string{}
	if !f.keys.IsNil() {
		attrs = append(attrs, "keys="+f.keys.String())
	}
	if f.selectsNonEmpty != nil {
		attrs = append(attrs, fmt.Sprintf("selectsNonEmpty=%v", f.selectsNonEmpty))
	}
	if f.selects != nil {
		attrs = append(attrs, fmt.Sprintf("selects=%v", f.selects))
	}
	if f.labels != nil {
		attrs = append(attrs, fmt.Sprintf("labels=%v", f.labels))
	}

	matches, matchObjErr := a.objectMatcher.MatchObjectSelector(h, attr)
	if !matches && matchObjErr == nil {
		return nil, nil
	}

	var invocation *WebhookInvocation
	for _, r := range h.GetRules() {
		m := rules.Matcher{Rule: r, Attr: attr}
		if m.Matches() {
			invocation = &WebhookInvocation{
				Webhook:     h,
				Resource:    attr.GetResource(),
				Subresource: attr.GetSubresource(),
				Kind:        attr.GetKind(),

                  .Input(inputs)
                  .Attr("ids", ids)
                  .Attr("calibration_methods", calibration_methods)
                  .Finalize(node_def()));
  ASSERT_THAT(InitOp(),
              StatusIs(tsl::error::INVALID_ARGUMENT,
                       HasSubstr("NodeDef missing attr 'output_file_path'")));
}

TEST_F(CalibrationStatisticsSaverTest, WrongNumInputs) {

    return false;
  }

  return DenseI64AttrToI32Vector(attr, out_vec);
}

std::optional<bool> GetBoolFromCompositeAttr(
    const DictionaryAttr& composite_attrs, llvm::StringRef attr_name) {
  auto attr = composite_attrs.get(attr_name);
  if (!attr) return std::nullopt;
  if (auto bool_attr = mlir::dyn_cast_or_null<BoolAttr>(attr)) {
    return bool_attr.getValue();
  }
  return std::nullopt;

)

func startProcess(name string, argv []string, attr *ProcAttr) (p *Process, err error) {
	// If there is no SysProcAttr (ie. no Chroot or changed
	// UID/GID), double-check existence of the directory we want
	// to chdir into. We can make the error clearer this way.
	if attr != nil && attr.Sys == nil && attr.Dir != "" {
		if _, err := Stat(attr.Dir); err != nil {
			pe := err.(*PathError)
			pe.Op = "chdir"

  let description = [{
    The CreateOp creates the tensorflow::OpKernel in the fallback context.
  }];

  let arguments = (ins
    StrAttr:$node_def,
    I32Attr:$op_key
  );

  let assemblyFormat = "attr-dict";
}

def ConstOp: TensorflowMlrt_Op<"constop", []> {
  let summary = "The tf_mlrt ConstOp";

  let description = [{
    The ConstOp creates a constant tensorflow::Tensor from serialized proto.
  }];

void go_callback2();

static void *thr(void *arg) {
    go_callback();
    return 0;
}

static void foo() {
    pthread_t th;
    pthread_attr_t attr;
    pthread_attr_init(&attr);
    pthread_attr_setstacksize(&attr, 256 << 10);
    pthread_create(&th, &attr, thr, 0);
    pthread_join(th, 0);
}

static void bar() {
    go_callback2();
}
*/
import "C"

import (
	"log"
	"os"
	"runtime"