(fname)
| 276 | |
| 277 | # read original node/edge IDs |
| 278 | def read_orig_ids(fname): |
| 279 | orig_ids = {} |
| 280 | for i in range(num_parts): |
| 281 | ids_path = os.path.join(out_dir, f"part{i}", fname) |
| 282 | part_ids = load_tensors(ids_path) |
| 283 | for type, data in part_ids.items(): |
| 284 | if type not in orig_ids: |
| 285 | orig_ids[type] = data |
| 286 | else: |
| 287 | orig_ids[type] = torch.cat((orig_ids[type], data)) |
| 288 | return orig_ids |
| 289 | |
| 290 | orig_nids = read_orig_ids("orig_nids.dgl") |
| 291 | orig_eids = read_orig_ids("orig_eids.dgl") |
no test coverage detected