code: def block_graph0():
      g = dgl.graph(([2, 3, 4], [5, 6, 7]), num_nodes=100)
      g = g.to(F.cpu())
      return dgl.to_block(g)
  
imports: from collections import defaultdict
  import backend
  import dgl
  import networkx
  import numpy
  import scipy.sparse
label_desc: Use image node_id 13 for calling a global function with example usage: block_graph0() and returns: dgl