docstr: Returns number of the edges in each generated graphs.
  
  Returns:
      list: List of the number of edges.
docstr_tok: ["Returns","number","of","the","edges","in","each","generated","graphs",".","Returns",":","list",":","List","of","the","number","of","edges","."]
code: def num_edges(self):
      r"""
      Returns number of the edges in each generated graphs.
  
      Returns:
          list: List of the number of edges.
      """
      return [gen.num_edges for gen in self.generators]
  
imports: import copy
  import math
  import types
  import random
  import networkx
  import numpy
  import torch
  import deepsnap
  from deepsnap.graph import Graph
  from deepsnap.hetero_graph import HeteroGraph
  import pdb
  from typing import Dict, List, Union
  import warnings
label_desc: Use image node_id 5 for calling the EnsembleGenerator obj's underlying member method code with example usage: obj.num_edges() and returns: unknown