Skip to content

GitLab

Switch branch/tag
Find file Normal viewHistoryPermalink
test_eye.py 2.17 KB
Newer Older
rusty1s's avatar
test eye  
rusty1s committed
1 
from itertools import product
rusty1s's avatar
eye func  
rusty1s committed
2
rusty1s's avatar
test eye  
rusty1s committed
3 
import pytest
rusty1s's avatar
test eye  
rusty1s committed
4 
import torch
rusty1s's avatar
test eye  
rusty1s committed
5 
from torch_sparse.tensor import SparseTensor
rusty1s's avatar
eye func  
rusty1s committed
6
rusty1s's avatar
test eye  
rusty1s committed
7
8
9
10
11 
from .utils import dtypes, devices


@pytest.mark.parametrize('dtype,device', product(dtypes, devices))
def test_eye(dtype, device):
rusty1s's avatar
test eye  
rusty1s committed
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 
    options = torch.tensor(0, dtype=dtype, device=device)

    mat = SparseTensor.eye(3, options=options)
    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.num_cached_keys() == 0

    mat = SparseTensor.eye(3, options=options, has_value=False)
    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, options=options, fill_cache=True)
    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, options=options, fill_cache=True)
    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]