File: test246.m

package info (click to toggle)
suitesparse-graphblas 7.4.0%2Bdfsg-2
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 67,112 kB
  • sloc: ansic: 1,072,243; cpp: 8,081; sh: 512; makefile: 506; asm: 369; python: 125; awk: 10
file content (92 lines) | stat: -rw-r--r-- 2,562 bytes parent folder | download | duplicates (2)
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
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
function test246 (dohack)
%TEST246 test GrB_mxm with different kinds of parallelism

% SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
% SPDX-License-Identifier: Apache-2.0

rng ('default') ;

n = 1000 ;

A = sprand (n, n, 0.5) ;

% save current global settings
save = GB_mex_hack ;
[nthreads_save chunk_save] = nthreads_get ;

% modify the global settings
hack = save ;
if (nargin < 1)
    dohack = 2 ;        % use 0 for default, 2 for prior setting in v7.2.0
end
hack (1) = dohack ;     % modify "very_costly" in GxB_AxB_saxpy3_slice_balanced
GB_mex_hack (hack) ;
GrB.burble (0) ;

semiring.multiply = 'times' ;
semiring.add = 'plus' ;
semiring.class = 'double' ;

for k = [1 2 4 16 128]
    S = sparse (n, k) ;
    M = spones (sprand (n, k, 0.1)) ;

    for da = [0.001 0.5]
        A = sprand (n, n, da) ;
        H.matrix = A ;
        H.sparsity = 1 ;

        for db = [0 0.01, 0.5]
            if (db == 0 && k == 4)
                B = sprand (n, k, 0.01) ;
                B (:,2) = pi ;
                B (1:(n/10),3) = 3 ;
            elseif (db == 0 && k > 1)
                B = sprand (n, k, 0.01) ;
                B (:,2) = pi ;
            else
                B = sprand (n, k, db) ;
            end

            for method = [0 1 2]
                if (method == 0)
                    desc = [ ] ;
                elseif (method == 1)
                    desc.axb = 'gustavson' ;
                else
                    desc.axb = 'hash' ;
                end

                for threads = [1 4 16]
                    nthreads_set (threads, 1) ;

                    % no mask
                    C1 = A*B ;
                    C2 = GB_mex_mxm (S, [ ], [ ], semiring, A, B, desc) ;
                    err = norm (C1 - C2.matrix, 1) / max (1, norm (C1, 1)) ;
                    assert (err < 1e-12)

                    % with the mask
                    C1 = M.*(A*B) ;
                    C2 = GB_mex_mxm (S, M, [ ], semiring, A, B, desc) ;
                    err = norm (C1 - C2.matrix, 1) / max (1, norm (C1, 1)) ;
                    assert (err < 1e-12)

                    % hypersparse case
                    C2 = GB_mex_mxm (S, M, [ ], semiring, H, B, desc) ;
                    err = norm (C1 - C2.matrix, 1) / max (1, norm (C1, 1)) ;
                    assert (err < 1e-12)

                end
            end
        end
    end
end

% restore global settings
GrB.burble (0) ;
nthreads_set (nthreads_save, chunk_save) ;
GB_mex_hack (save) ;

fprintf ('\ntest246: all tests passed\n') ;