class_docstr: History storage module of GNNAutoScale.
  
  Args:
      
      num_embs (int): Usually the same with number of nodes in a graph.
  
      emb_dims (int): Should be set as the hidden size of gnn models. 
code: def forward(self, *args, **kwargs):
      raise NotImplementedError
  
imports: import numpy
  import paddle
  from pgl.utils.logger import log
label_desc: Use image node_id 2 for calling the History obj's underlying member method code with example usage: obj.forward() without return types