s, d, eid 0, 1, 0 1, 9, 1 0, 2, 2 2, 9, 3 0, 3, 4 3, 9, 5 0, 4, 6 4, 9, 7 0, 5, 8 5, 9, 9 0, 6, 10 6, 9, 11 0, 7, 12 7, 9, 13 0, 8, 14 8, 9, 15 9, 0, 16
(idtype, grad=False)
| 55 | |
| 56 | |
| 57 | def generate_graph(idtype, grad=False): |
| 58 | """ |
| 59 | s, d, eid |
| 60 | 0, 1, 0 |
| 61 | 1, 9, 1 |
| 62 | 0, 2, 2 |
| 63 | 2, 9, 3 |
| 64 | 0, 3, 4 |
| 65 | 3, 9, 5 |
| 66 | 0, 4, 6 |
| 67 | 4, 9, 7 |
| 68 | 0, 5, 8 |
| 69 | 5, 9, 9 |
| 70 | 0, 6, 10 |
| 71 | 6, 9, 11 |
| 72 | 0, 7, 12 |
| 73 | 7, 9, 13 |
| 74 | 0, 8, 14 |
| 75 | 8, 9, 15 |
| 76 | 9, 0, 16 |
| 77 | """ |
| 78 | u = F.tensor([0, 1, 0, 2, 0, 3, 0, 4, 0, 5, 0, 6, 0, 7, 0, 8, 9]) |
| 79 | v = F.tensor([1, 9, 2, 9, 3, 9, 4, 9, 5, 9, 6, 9, 7, 9, 8, 9, 0]) |
| 80 | g = dgl.graph((u, v), idtype=idtype) |
| 81 | assert g.device == F.ctx() |
| 82 | ncol = F.randn((10, D)) |
| 83 | ecol = F.randn((17, D)) |
| 84 | if grad: |
| 85 | ncol = F.attach_grad(ncol) |
| 86 | ecol = F.attach_grad(ecol) |
| 87 | |
| 88 | g.ndata["h"] = ncol |
| 89 | g.edata["w"] = ecol |
| 90 | g.set_n_initializer(dgl.init.zero_initializer) |
| 91 | g.set_e_initializer(dgl.init.zero_initializer) |
| 92 | return g |
| 93 | |
| 94 | |
| 95 | def test_compatible(): |
no test coverage detected