$2 ~ /^(TASKSTATS|TS)_/ ||
		$2 ~ /^CGROUPSTATS_/ ||
		$2 ~ /^GENL_/ ||
		$2 ~ /^STATX_/ ||
		$2 ~ /^RENAME/ ||
		$2 ~ /^UBI_IOC[A-Z]/ ||
		$2 ~ /^UTIME_/ ||
		$2 ~ /^XATTR_(CREATE|REPLACE|NO(DEFAULT|FOLLOW|SECURITY)|SHOWCOMPRESSION)/ ||
		$2 ~ /^ATTR_(BIT_MAP_COUNT|(CMN|VOL|FILE)_)/ ||
		$2 ~ /^FSOPT_/ ||
		$2 ~ /^WDIO[CFS]_/ ||
		$2 ~ /^NFN/ ||
		$2 !~ /^NFT_META_IIFTYPE/ &&
		$2 ~ /^NFT_/ ||
		$2 ~ /^NF_NAT_/ ||

    llvm::SmallVectorImpl<mlir::NamedAttribute> &output) {
  for (mlir::NamedAttribute attr : attrs) {
    if (attr.getName().strref().contains(
            mlir::tfg::TFGraphDialect::getDeviceAttrKey())) {
      tensorflow::DeviceNameUtils::ParsedName parsed_name;
      if (!tensorflow::DeviceNameUtils::ParseFullName(
              mlir::cast<mlir::StringAttr>(attr.getValue()).getValue().str(),

}

Status ConvertAttribute(const mlir::BoolAttr& attr, AttrValue* value) {
  value->set_b(attr.getValue());
  return absl::OkStatus();
}

Status ConvertAttribute(const mlir::IntegerAttr& attr, AttrValue* value) {
  value->set_i(attr.getInt());
  return absl::OkStatus();
}

Status ConvertAttribute(const mlir::FloatAttr& attr, AttrValue* value) {
  value->set_f(attr.getValueAsDouble());
  return absl::OkStatus();
}

              value.add_int64_val(dim.size());
            }
          }
          AddNodeAttr("value", value, &const_def);
          for (auto const& attr : n->attrs()) {
            if (*attr.first.begin() == '_') {
              AddNodeAttr(attr.first, attr.second, &const_def);
            }
          }

          TF_ASSIGN_OR_RETURN(Node * const_node, graph->AddNode(const_def));

                  .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) {

  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.
  }];

    "'TFLite_Detection_PostProcess:3' type: DT_FLOAT } attr : { name: "
    "'h_scale' type: 'float'} attr : { name: 'max_classes_per_detection' "
    "type: 'int'} attr : { name: 'max_detections' type: 'int'} attr : { "
    "name: 'nms_iou_threshold' type: 'float'} attr : { name: "
    "'nms_score_threshold' type: 'float'} attr : { name: 'num_classes' type: "
    "'int'} attr : { name: 'w_scale' type: 'float'} attr : { name: 'x_scale' "

  const tensorflow::AttrValue* attr =
      ::tensorflow::AttrSlice(cc_ctx->def()).Find(attr_name);
  if (attr == nullptr) {
    status->status = absl::InvalidArgumentError(
        absl::StrCat("Operation '", cc_ctx->def().name(),
                     "' has no attr named '", attr_name, "'."));
  }
  return attr;
}
}  // namespace

  }

  Attribute convertEncoding(Attribute attr) const final {
    LLVM_DEBUG(llvm::dbgs() << "Converting encoding.\n" << attr << '\n');
    // Must be VHLO encoding, or convertible to VHLO encoding.
    if (attr.getDialect().getNamespace() ==
        vhlo::VhloDialect::getDialectNamespace())
      return attr;

    if (auto stablehlo_attr =

//	db.Where(User{Name: "jinzhu"}).Attrs(User{Email: "******@****.***"}).FirstOrInit(&user)
//	// user -> User{Name: "jinzhu", Age: 20}
//
// [FirstOrCreate]: https://gorm.io/docs/advanced_query.html#FirstOrCreate
// [FirstOrInit]: https://gorm.io/docs/advanced_query.html#FirstOrInit
func (db *DB) Attrs(attrs ...interface{}) (tx *DB) {
	tx = db.getInstance()
	tx.Statement.attrs = attrs
	return
}