class_docstr: Used in RetinaNet proposed in paper https://arxiv.org/pdf/1708.02002.pdf
      
class_docstr_tok: ["Used","in","RetinaNet","proposed","in","paper","https",":","\/\/arxiv.org\/pdf\/1708.02002.pdf"]
code: def get_scores_single(self, cls_scores_list):
      mlvl_logits = []
      for cls_score in cls_scores_list:
          cls_score = cls_score.reshape([-1, self.num_classes])
          if (
              self.nms_pre is not None
              and cls_score.shape[0] > self.nms_pre
          ):
              max_score = cls_score.max(axis=1)
              _, topk_inds = max_score.topk(self.nms_pre)
              cls_score = cls_score.gather(topk_inds)
  
          mlvl_logits.append(cls_score)
  
      mlvl_logits = paddle.concat(mlvl_logits)
      mlvl_logits = mlvl_logits.transpose([1, 0])
  
      return mlvl_logits
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle import ParamAttr
  from paddle.nn.initializer import Normal, Constant
  from ppdet.modeling.bbox_utils import bbox2delta, delta2bbox
  from ppdet.modeling.heads.fcos_head import FCOSFeat
  from ppdet.core.workspace import register
label_desc: Use image node_id 7 for calling the RetinaHead obj's underlying member method code with example usage: obj.get_scores_single(cls_scores_list) and returns: mlvl_logits