class_docstr: Modified from Partial-FC
class_docstr_tok: ["Modified","from","Partial-FC"]
code: def set_queue(
      self, total_features, total_label, index_positive, iters
  ):
      local_label = total_label[index_positive]
      sel_features = normalize(total_features[index_positive, :])
      self.queue[local_label, :] = sel_features
      self.queue_iters[local_label] = iters
  
file_path: insightface/recognition/vpl/vpl.py
imports: import logging
  import os
  import torch
  import torch.distributed
  from torch.nn import Module
  from torch.nn.functional import normalize, linear
  from torch.nn.parameter import Parameter
label_desc: Use image node_id 8 for calling the VPL obj's underlying member method code with example usage: obj.set_queue(total_features, total_label, index_positive, iters) without return types