| 11 | |
| 12 | |
| 13 | def test_column_subcolumn(): |
| 14 | data = F.copy_to( |
| 15 | F.tensor( |
| 16 | [ |
| 17 | [1.0, 1.0, 1.0, 1.0], |
| 18 | [0.0, 2.0, 9.0, 0.0], |
| 19 | [3.0, 2.0, 1.0, 0.0], |
| 20 | [1.0, 1.0, 1.0, 1.0], |
| 21 | [0.0, 2.0, 4.0, 0.0], |
| 22 | ] |
| 23 | ), |
| 24 | F.ctx(), |
| 25 | ) |
| 26 | original = Column(data) |
| 27 | |
| 28 | # subcolumn from cpu context |
| 29 | i1 = F.tensor([0, 2, 1, 3], dtype=F.int64) |
| 30 | l1 = original.subcolumn(i1) |
| 31 | |
| 32 | assert len(l1) == i1.shape[0] |
| 33 | assert F.array_equal(l1.data, F.gather_row(data, i1)) |
| 34 | |
| 35 | # next subcolumn from target context |
| 36 | i2 = F.copy_to(F.tensor([0, 2], dtype=F.int64), F.ctx()) |
| 37 | l2 = l1.subcolumn(i2) |
| 38 | |
| 39 | assert len(l2) == i2.shape[0] |
| 40 | i1i2 = F.copy_to(F.gather_row(i1, F.copy_to(i2, F.context(i1))), F.ctx()) |
| 41 | assert F.array_equal(l2.data, F.gather_row(data, i1i2)) |
| 42 | |
| 43 | # next subcolumn also from target context |
| 44 | i3 = F.copy_to(F.tensor([1], dtype=F.int64), F.ctx()) |
| 45 | l3 = l2.subcolumn(i3) |
| 46 | |
| 47 | assert len(l3) == i3.shape[0] |
| 48 | i1i2i3 = F.copy_to( |
| 49 | F.gather_row(i1i2, F.copy_to(i3, F.context(i1i2))), F.ctx() |
| 50 | ) |
| 51 | assert F.array_equal(l3.data, F.gather_row(data, i1i2i3)) |
| 52 | |
| 53 | |
| 54 | def test_serialize_deserialize_plain(): |