class_docstr: Sample negative class center
      
class_docstr_tok: ["Sample","negative","class","center"]
code: def __init__(self, num_sample, num_local, rank):
      self.num_sample = num_sample
      self.num_local = num_local
      self.rank = rank
      self.negative_class_pool = np.arange(num_local)
      pass
  
file_path: insightface/recognition/partial_fc/mxnet/memory_samplers.py
imports: import numpy
label_desc: Use image node_id 1 to create a new CenterNegetiveClassSample object from inherited base classes: object with example: obj = CenterNegetiveClassSample(num_sample, num_local, rank)