code: def get_dn_match_indices(labels, dn_positive_idx, dn_num_group):
      dn_match_indices = []
      for i in range(len(labels)):
          num_gt = len(labels[i])
          if num_gt > 0:
              gt_idx = paddle.arange(end=num_gt, dtype="int64")
              gt_idx = gt_idx.tile([dn_num_group])
              assert len(dn_positive_idx[i]) == len(gt_idx)
              dn_match_indices.append((dn_positive_idx[i], gt_idx))
          else:
              dn_match_indices.append(
                  (
                      paddle.zeros([0], dtype="int64"),
                      paddle.zeros([0], dtype="int64"),
                  )
              )
      return dn_match_indices
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from ppdet.core.workspace import register
  from .iou_loss import GIoULoss
  from ..transformers import bbox_cxcywh_to_xyxy, sigmoid_focal_loss, varifocal_loss_with_logits
  from ..bbox_utils import bbox_iou
label_desc: Use image node_id 2 for calling the DINOLoss obj's underlying member method code with example usage: obj.get_dn_match_indices(labels, dn_positive_idx, dn_num_group) and returns: dn_match_indices