File: test_eye.py

package info (click to toggle)
pytorch-sparse 0.6.18-3
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 984 kB
  • sloc: python: 3,646; cpp: 2,444; sh: 54; makefile: 6
file content (54 lines) | stat: -rw-r--r-- 2,347 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
from itertools import product

import pytest

from torch_sparse.tensor import SparseTensor
from torch_sparse.testing import devices, dtypes


@pytest.mark.parametrize('dtype,device', product(dtypes, devices))
def test_eye(dtype, device):
    mat = SparseTensor.eye(3, dtype=dtype, device=device)
    assert mat.device() == device
    assert mat.storage.sparse_sizes() == (3, 3)
    assert mat.storage.row().tolist() == [0, 1, 2]
    assert mat.storage.rowptr().tolist() == [0, 1, 2, 3]
    assert mat.storage.col().tolist() == [0, 1, 2]
    assert mat.storage.value().tolist() == [1, 1, 1]
    assert mat.storage.value().dtype == dtype
    assert mat.storage.num_cached_keys() == 0

    mat = SparseTensor.eye(3, has_value=False, device=device)
    assert mat.device() == device
    assert mat.storage.sparse_sizes() == (3, 3)
    assert mat.storage.row().tolist() == [0, 1, 2]
    assert mat.storage.rowptr().tolist() == [0, 1, 2, 3]
    assert mat.storage.col().tolist() == [0, 1, 2]
    assert mat.storage.value() is None
    assert mat.storage.num_cached_keys() == 0

    mat = SparseTensor.eye(3, 4, fill_cache=True, device=device)
    assert mat.device() == device
    assert mat.storage.sparse_sizes() == (3, 4)
    assert mat.storage.row().tolist() == [0, 1, 2]
    assert mat.storage.rowptr().tolist() == [0, 1, 2, 3]
    assert mat.storage.col().tolist() == [0, 1, 2]
    assert mat.storage.num_cached_keys() == 5
    assert mat.storage.rowcount().tolist() == [1, 1, 1]
    assert mat.storage.colptr().tolist() == [0, 1, 2, 3, 3]
    assert mat.storage.colcount().tolist() == [1, 1, 1, 0]
    assert mat.storage.csr2csc().tolist() == [0, 1, 2]
    assert mat.storage.csc2csr().tolist() == [0, 1, 2]

    mat = SparseTensor.eye(4, 3, fill_cache=True, device=device)
    assert mat.device() == device
    assert mat.storage.sparse_sizes() == (4, 3)
    assert mat.storage.row().tolist() == [0, 1, 2]
    assert mat.storage.rowptr().tolist() == [0, 1, 2, 3, 3]
    assert mat.storage.col().tolist() == [0, 1, 2]
    assert mat.storage.num_cached_keys() == 5
    assert mat.storage.rowcount().tolist() == [1, 1, 1, 0]
    assert mat.storage.colptr().tolist() == [0, 1, 2, 3]
    assert mat.storage.colcount().tolist() == [1, 1, 1]
    assert mat.storage.csr2csc().tolist() == [0, 1, 2]
    assert mat.storage.csc2csr().tolist() == [0, 1, 2]