(num_nodes, idtype=F.int64)
| 685 | |
| 686 | |
| 687 | def create_large_graph(num_nodes, idtype=F.int64): |
| 688 | row = np.random.choice(num_nodes, num_nodes * 10) |
| 689 | col = np.random.choice(num_nodes, num_nodes * 10) |
| 690 | spm = spsp.coo_matrix((np.ones(len(row)), (row, col))) |
| 691 | spm.sum_duplicates() |
| 692 | |
| 693 | return dgl.from_scipy(spm, idtype=idtype) |
| 694 | |
| 695 | |
| 696 | # Disabled since everything will be on heterogeneous graphs |
no outgoing calls
no test coverage detected