<< i;
    }
    TF_DeleteStatus(status);
    return static_cast<void*>(s);
  };

  AttrValue v;
  std::string attr_in[] = {"bugs", "bunny", "duck"};
  SetAttrValue(gtl::ArraySlice<std::string>(attr_in, 3), &v);
  CreateAndCallKernelWithAttr(my_create_func, "TestKernelAttrStringList", v);
}

TEST_F(TestKernelAttr, Tensor) {
  struct TensorProtoHelpers {
   public:

		return -1, -1, -1
	}
	var namebuf [1024]byte
	sz := int32(copy(namebuf[:], path))
	A2e(namebuf[:sz])
	attr_sz := uint32(unsafe.Sizeof(*attr))
	var parms [7]unsafe.Pointer
	parms[0] = unsafe.Pointer(&sz)
	parms[1] = unsafe.Pointer(&namebuf[0])
	parms[2] = unsafe.Pointer(&attr_sz)
	parms[3] = unsafe.Pointer(attr)
	parms[4] = unsafe.Pointer(&rv)
	parms[5] = unsafe.Pointer(&rc)
	parms[6] = unsafe.Pointer(&rn)

 *
 */
class Xpp3DomAttributePointer extends NodePointer {

    private Map.Entry<String, String> attrib;

    public Xpp3DomAttributePointer(NodePointer parent, Map.Entry<String, String> attrib) {
        super(parent);
        this.attrib = attrib;
    }

    @Override
    public int compareChildNodePointers(NodePointer pointer1, NodePointer pointer2) {

  string c_base_type = attr_.base_type();
  if (attr_.base_type() == "type") {
    c_base_type = "DataType";
  } else if (attr_.base_type() == "shape") {
    c_base_type = "const PartialTensorShape";
  }

  // ... and wrap in a Span<> if it's a list.
  if (attr_.is_list()) {
    return absl::Substitute("absl::Span<$0>", c_base_type);
  } else {
    return c_base_type;
  }

  return attr_.full_type();
}

  std::srand(0);
  for (auto fn : module->getOps<mlir::func::FuncOp>()) {
    for (auto& bb : fn) {
      for (auto& inst : bb) {
        auto attr_id = mlir::StringAttr::get(context, "value");
        if (auto attr = inst.getAttrOfType<mlir::ElementsAttr>(attr_id)) {
          mlir::Attribute rand_val;
          mlir::Type element_type = attr.getShapedType().getElementType();

        MakeCleanup([tf_tensor] { TF_DeleteTensor(tf_tensor); });
    Tensor tensor;
    RETURN_FAILURE_IF_ERROR(TF_TensorToTensor(tf_tensor, &tensor));
    auto attr_or = ConvertTensor(tensor, &builder);
    RETURN_FAILURE_IF_ERROR(attr_or.status());
    results->push_back(attr_or.value());
  }

  VLOG(1) << "Evaluate node " << node_name << " successfully!";

  return mlir::success();
}

#undef RETURN_FAILURE_IF_ERROR

                      'errors': str(error_count),
                      'failures': str(failure_count)}
    suite_attrib = attrib.copy()
    suite_attrib.update(suite_specific)
    testsuites.attrib = suite_attrib
    testsuite.attrib = suite_attrib
    indent_xml(testsuites)

  tree = ElemTree.ElementTree(testsuites)
  file_path = os.path.join(output_path)
  with open(file_path, 'wb') as f:

#include "tensorflow/core/platform/types.h"

namespace tensorflow {
namespace generator {
namespace cpp {

class AttrView {
 public:
  explicit AttrView(AttrSpec attr) : attr_(attr) {}

  string VariableName() const;
  string VariableType() const;
  string AttrNameString() const;
  string VariableStrLen() const;
  string VariableSpanData() const;
  string VariableSpanLen() const;

func nlmAlignOf(msglen int) int {
	return (msglen + NLMSG_ALIGNTO - 1) & ^(NLMSG_ALIGNTO - 1)
}

// Round the length of a netlink route attribute up to align it
// properly.
func rtaAlignOf(attrlen int) int {
	return (attrlen + RTA_ALIGNTO - 1) & ^(RTA_ALIGNTO - 1)
}

// NetlinkRouteRequest represents a request message to receive routing
// and link states from the kernel.
type NetlinkRouteRequest struct {
	Header NlMsghdr

// TFLite.
class ConvertSSDPostProcessFunc {
 public:
  explicit ConvertSSDPostProcessFunc(func::FuncOp func, mlir::TF::FuncAttr attr)
      : func_(func), attr_(attr) {}

  LogicalResult RewriteFunc();

  LogicalResult VerifySignature();

 private:
  LogicalResult CreateNMSCustomOptions(func::FuncOp func, DictionaryAttr attrs,