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
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
|
function test19b(fulltest)
%TEST19B test GrB_assign and GrB_*_setElement with many pending operations
% SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
% SPDX-License-Identifier: Apache-2.0
fprintf ('\ntest19b: GrB_assign and setElement, many pending computations\n') ;
debug_status = stat ;
if (debug_status)
% turn off malloc debugging for this test
debug_off
end
if (nargin < 1)
fulltest = 0 ;
end
if (fulltest)
nt = 3000 ;
else
nt = 2000 ;
end
for problem = 0:2
clear Work Work2
switch (problem)
case 0
Corig = sparse (5,5) ;
d = 1 ;
ntrials = 100 ;
case 1
Corig = sprandn (10,20,0.1) ;
d = 0.3 ;
ntrials = nt ;
case 2
Corig = sparse (rand (10, 20)) ;
d = 0.3 ;
ntrials = nt ;
end
rng ('default') ;
[m n] = size (Corig) ;
fprintf ('problem %d: C is %d-by-%d, # assign/setElement to do: %d\n', ...
problem, m, n, ntrials) ;
if (problem > 0)
fprintf ('... please wait\n') ;
end
for k = 1:ntrials
c = randi (10,1) ;
if (c == 10)
d = struct ('outp', 'replace') ;
elseif (c == 9)
d = struct ('outp', 'replace', 'mask', 'complement') ;
elseif (c == 8)
d = struct ('mask', 'complement') ;
else
d = [ ] ;
end
c = randi (3,1) ;
switch (c)
case 1
accum = '' ;
case 2
accum = 'plus' ;
case 3
accum = 'second' ;
end
kind = 0 ;
c = randi (12,1) ;
if (c < 8)
ni = randi (3,1) ;
nj = randi (3,1) ;
J = randperm (n, nj) ;
I = randperm (m, ni) ;
A = sprand (ni, nj, 0.3) ;
scalar = 0 ;
elseif (c == 8)
% scalar expansion
ni = 2 ;
nj = 2 ;
J = randperm (n, nj) ;
I = randperm (m, ni) ;
A = sparse (rand (1)) ;
scalar = 1 ;
elseif (c == 9)
ni = 1 ;
nj = 1 ;
I = randperm (m,1) ;
J = randperm (n,1) ;
A = sparse (rand (1)) ;
scalar = 0 ;
elseif (c == 10)
ni = 2 ;
nj = 2 ;
I = randperm (m,2) ;
J = randperm (n,2) ;
A = sparse (rand (2)) ;
scalar = 0 ;
elseif (c == 11)
% column assign
ni = randi (3,1) ;
nj = 1 ;
kind = 1 ;
J = randperm (n, 1) ;
I = randperm (m, ni) ;
A = sprand (ni, 1, 0.3) ;
scalar = 0 ;
else % (c == 12)
% row assign: A is a single *column* vector
ni = 1 ;
nj = randi (3,1) ;
kind = 2 ;
J = randperm (n, nj) ;
I = randperm (m, 1) ;
A = sprand (nj, 1, 0.3) ;
scalar = 0 ;
end
c = randi (2,1) ;
switch (c)
case 1
% no mask
Mask = [ ] ;
case 2
density = rand (1) ;
if (density < 0.8)
if (kind == 0)
% mask same size as C: Matrix or Vector assign
Mask = (sprand (m, n, 0.3) ~= 0) ;
elseif (kind == 1)
% mask same size as C(:,j): column assign
Mask = (sprand (m, 1, 0.3) ~= 0) ;
else % (kind == 2)
% mask same size as C(i,:)': row assign
Mask = (sprand (n, 1, 0.3) ~= 0) ;
end
else
if (kind == 0)
% mask same size as C: Matrix or Vector assign
Mask = sparse (true (m, n)) ;
elseif (kind == 1)
% mask same size as C(:,j): column assign
Mask = sparse (true (m, 1)) ;
else % (kind == 2)
% mask same size as C(i,:)': row assign
Mask = sparse (true (n, 1)) ;
end
end
end
Work (k).A = A ;
Work (k).I = I ;
Work (k).J = J ;
Work (k).Mask = Mask ;
Work (k).accum = accum ;
Work (k).desc = d ;
Work (k).scalar = scalar ;
Work (k).kind = kind ;
Work2 (k).A = A ;
Work2 (k).I = uint64 (I-1) ;
Work2 (k).J = uint64 (J-1) ;
Work2 (k).Mask = Mask ;
Work2 (k).accum = accum ;
Work2 (k).desc = d ;
Work2 (k).kind = kind ;
end
C3 = Corig ;
for k = 1:ntrials
J = Work (k).J ;
I = Work (k).I ;
A = Work (k).A ;
M = Work (k).Mask ;
accum = Work (k).accum ;
d = Work (k).desc ;
scalar = Work (k).scalar ;
kind = Work (k).kind ;
if (kind == 0)
% matrix/vector assign
C3 = GB_spec_assign (C3, M, accum, A, I, J, d, scalar) ;
elseif (kind == 1)
% col assign
C3 = GB_spec_Col_assign (C3, M, accum, A, I, J, d) ;
else % (kind == 2)
% row assign
C3 = GB_spec_Row_assign (C3, M, accum, A, I, J, d) ;
end
end
% default sparsity
C2 = GB_mex_assign (Corig, Work2) ; % WORK_ASSIGN
GB_spec_compare (C2, C3) ;
% with sparsity control
for s = 0:15
C2 = GB_mex_assign (Corig, Work2, [s s]) ; % WORK_ASSIGN
GB_spec_compare (C2, C3) ;
end
% default sparsity but both C and M sparse
C2 = GB_mex_assign (Corig, Work2, [2 2]) ; % WORK_ASSIGN
GB_spec_compare (C2, C3) ;
% default sparsity but C sparse and M bitmap/full
C2 = GB_mex_assign (Corig, Work2, [2 8]) ; % WORK_ASSIGN
GB_spec_compare (C2, C3) ;
end
if (debug_status)
debug_on
end
fprintf ('\ntest19b: all tests passed\n') ;
|
