c.set_lr(newpc - 1)
				c.set_ip(targetPC)

			case "arm64":
				// Push LR. The injected call is responsible
				// for restoring LR. gentraceback is aware of
				// this extra slot. See sigctxt.pushCall in
				// signal_arm64.go.
				sp := c.sp() - 16 // SP needs 16-byte alignment
				c.set_sp(sp)
				*(*uint64)(unsafe.Pointer(sp)) = uint64(c.lr())
				c.set_lr(newpc)
				c.set_ip(targetPC)
			}

| `minio_cluster_erasure_set_write_quorum`         | `gauge` | Write quorum for the erasure set in a pool                                        | `pool_id,set_id` |
| `minio_cluster_erasure_set_online_drives_count`  | `gauge` | Count of online drives in the erasure set in a pool                               | `pool_id,set_id` |

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();
}

  // may cause spurious cache misses.
  TF_ASSIGN_OR_RETURN(uint64 fingerprint, FingerprintGraph(*graph));
  VLOG(1) << "Subgraph fingerprint:" << fingerprint;
  call_def->set_op(absl::StrCat(call_def->op(), "_", fingerprint));
  return absl::OkStatus();
}

}  // namespace

/*static*/ Status EncapsulateXlaComputationsPass::Encapsulate(

    for (auto arg : f.getBody().front().getArguments()) {
      argument_types.push_back(arg.getType());
    }
    std::vector<Type> return_types;
    for (auto ret_op : ret->getOperands()) {
      return_types.push_back(ret_op.getType());
    }
    auto newType =
        FunctionType::get(rewriter.getContext(), argument_types, return_types);
    if (f.getFunctionType() == newType) {
      return failure();

                             const string& node_name, int num_constant_args,
                             int num_resource_args, Node** result) {
  NodeDef call_node;
  call_node.set_name(node_name);
  call_node.set_op(callee_name);
  AddNodeAttr(kXlaCompiledKernelAttr, true, &call_node);
  AddNodeAttr(kXlaNumConstantArgsAttr, num_constant_args, &call_node);
  AddNodeAttr(kXlaNumResourceArgsAttr, num_resource_args, &call_node);

                                 NodeDef* node_def) {
  const NameAttrList* name_attr;
  TF_RETURN_IF_ERROR(GetNodeAttr(node.attrs(), attr_name, &name_attr));
  node_def->set_op(name_attr->name());
  *(node_def->mutable_attr()) = name_attr->attr();
  return absl::OkStatus();
}

absl::StatusOr<std::vector<NodeDef>> MakeCallNodesFromAttribute(
    const Node& node, absl::string_view attr_name,

        TensorShapeProto shape_proto;
        context->ShapeHandleToProto(handle, &shape_proto);
        if (!shape_proto.unknown_rank()) {
          NodeDef const_def;
          const_def.set_op("Const");
          Node* var_node;
          TF_RETURN_IF_ERROR(n->input_node(0, &var_node));
          const_def.set_name(
              graph->NewName(absl::StrCat("var_shape_", var_node->name())));

      attr->contains("DstT") &&
      attr->at("SrcT").type() == attr->at("DstT").type() &&
      attr->contains("Truncate") && !attr->at("Truncate").b()) {
    node_def->set_op("Identity");
    attr->insert({{"T", attr->at("SrcT")}});
    attr->erase("SrcT");
    attr->erase("DstT");
    attr->erase("Truncate");
  }
}

}  // namespace

Status GetAttrValuesFromOperation(

  node_def->set_op(FunctionLibraryDefinition::kRetOp);
  DataType dtype;
  TF_RETURN_IF_ERROR(ConvertToDataType(
      mlir::cast<mlir::TensorType>(operand.getType()).getElementType(),
      &dtype));
  AttrValue type_attr;
  type_attr.set_type(dtype);
  (*node_def->mutable_attr())["T"] = type_attr;
  AttrValue index_attr;
  index_attr.set_i(index);