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function test20(fulltest)
%TEST20 test GrB_mxm, mxv, and vxm
% SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
% SPDX-License-Identifier: Apache-2.0
[binops, ~, add_ops, types, ~, ~] = GB_spec_opsall ;
mult_ops = binops.all ;
types = types.all ;
tic
if (nargin < 1)
fulltest = 0 ;
end
if (fulltest == 2)
fprintf ('test20: lengthy tests of GrB_mxm, mxv, and vxm\n') ;
n_semirings_max = inf ;
else
fprintf ('test20: quick test of GrB_mxm, mxv, and vxm\n') ;
n_semirings_max = 1 ;
end
% types to test:
kk = 1 ;
% ops to test
aa = 1 ;
if (fulltest > 0)
k1_list = 1:length(mult_ops) ;
k2_list = 1:length(add_ops) ;
k3_list = 1:length(types) ;
else
k1_list = [ 9 ] ; % times
k2_list = [ 3 ] ; % plus
k3_list = [ 11 ] ; % double
end
kk = min (kk, length (types)) ;
dnn = struct ;
dtn = struct ( 'inp0', 'tran' ) ;
dnt = struct ( 'inp1', 'tran' ) ;
dtt = struct ( 'inp0', 'tran', 'inp1', 'tran' ) ;
n_semirings = 0 ;
ntrials = 0 ;
for k1 = k1_list % 1:length(mult_ops)
mulop = mult_ops {k1} ;
% if (~GB_spec_is_positional (mulop))
% continue ;
% end
for k2 = k2_list % 1:length(add_ops)
addop = add_ops {k2} ;
fprintf ('\nsemiring %s:%s ', addop, mulop) ;
for k3 = k3_list % 1:length (types)
rng ('default') ;
type = types {k3} ;
semiring.multiply = mulop ;
semiring.add = addop ;
semiring.class = type ;
if (n_semirings_max == 1)
semiring
end
% create the semiring. some are not valid because the or,and,xor
% monoids can only be used when z is boolean for z=mult(x,y).
try
[mult_op add_op id] = GB_spec_semiring (semiring) ;
[mult_opname mult_optype ztype] = GB_spec_operator (mult_op);
[ add_opname add_optype] = GB_spec_operator (add_op) ;
identity = GB_spec_identity (semiring.add, add_optype) ;
catch
continue
end
if (n_semirings+1 > n_semirings_max)
fprintf ('\ntest20: all quick tests passed\n') ;
return ;
end
% fprintf ('\n%4d ', n_semirings) ;
% fprintf ('%12.2f mxm semiring %s:%s:%s ', toc,addop,mulop,type) ;
% fprintf (' id: %g ', double (identity)) ;
n_semirings = n_semirings + 1 ;
% for k4 = [0 5 11 15] % 0:length(mult_ops)
for k4 = [ 0 randperm(length(mult_ops), aa)]
if (k4 == 0)
accum_op = '' ;
ntypes = 1 ;
else
accum_op = mult_ops {k4} ;
% ntypes = [1 2 8 ] ; % length (types) ;
% ntypes = 1:length (types) ;
ntypes = randperm (length (types),kk) ;
end
for k5 = ntypes
clear accum
if (~isempty (accum_op))
accum_type = types {k5} ;
accum.opname = accum_op ;
accum.optype = accum_type ;
else
accum = '' ;
accum_type = '' ;
end
if (GB_spec_is_positional (accum))
continue ;
end
try
GB_spec_operator (accum) ;
catch
continue
end
for Mask_complement = [false true]
if (Mask_complement)
dnn.mask = 'complement' ;
dtn.mask = 'complement' ;
dnt.mask = 'complement' ;
dtt.mask = 'complement' ;
else
dnn.mask = 'default' ;
dtn.mask = 'default' ;
dnt.mask = 'default' ;
dtt.mask = 'default' ;
end
for C_replace = [false true]
if (C_replace)
dnn.outp = 'replace' ;
dtn.outp = 'replace' ;
dnt.outp = 'replace' ;
dtt.outp = 'replace' ;
else
dnn.outp = 'default' ;
dtn.outp = 'default' ;
dnt.outp = 'default' ;
dtt.outp = 'default' ;
end
% pick a random class, and int32
atypes = randperm(length(types),kk) ;
% 1:length (types)
atypes = unique ([atypes 6]) ;
% try all matrix types, to test casting
for k6 = atypes
aclas = types {k6} ;
if (isequal (aclas, 'int32') && ...
mod (n_semirings, 100) == 1)
% single or double would lead to
% different roundoff errors
hyper_range = 0:1 ;
csc_range = 0:1 ;
else
hyper_range = 0 ;
csc_range = 1 ;
end
% try some matrices
for m = 8 % [1 5 10 ]
for n = 5 % [ 1 5 10 ]
for s = 4 % [ 1 5 10 ]
for density = [0.1 0.2 0.3 0.5]
% try all combinations of hyper/
% non-hyper and CSR/CSC
for A_is_hyper = hyper_range
for A_is_csc = csc_range
for B_is_hyper = hyper_range
for B_is_csc = csc_range
for C_is_hyper = hyper_range
for C_is_csc = csc_range
for M_is_hyper = hyper_range
for M_is_csc = csc_range
if (mod (ntrials, 23) == 0)
fprintf ('.') ;
end
%-----------------------------------
% A*B
%-----------------------------------
A = GB_spec_random (m,s,density,100,aclas, A_is_csc, A_is_hyper) ;
B = GB_spec_random (s,n,density,100,aclas, B_is_csc, B_is_hyper) ;
C = GB_spec_random (m,n,density,100,aclas, C_is_csc, C_is_hyper) ;
% C = A*B, no mask
Mask = [ ] ;
C0 = GB_spec_mxm (C, [ ], accum, semiring, A, B, dnn);
C1 = GB_mex_mxm (C, [ ], accum, semiring, A, B, dnn);
GB_spec_compare (C0, C1, identity) ;
% w = A*u, no mask
w = GB_spec_random (m,1,density,100,type) ;
u = GB_spec_random (s,1,density,100,type) ;
w0 = GB_spec_mxv (w, [ ], accum, semiring, A, u, dnn);
w1 = GB_mex_mxv (w, [ ], accum, semiring, A, u, dnn);
GB_spec_compare (w0, w1, identity) ;
% w' = u'*A' no mask
w0 = GB_spec_vxm (w, [ ], accum, semiring, u, A, dnt);
w1 = GB_mex_vxm (w, [ ], accum, semiring, u, A, dnt);
GB_spec_compare (w0, w1, identity) ;
% C = A*B with mask
% Mask = sprandn (m,n,0.2) ~= 0 ;
Mask = GB_random_mask(m,n,0.2, M_is_csc, M_is_hyper) ;
C0 = GB_spec_mxm (C, Mask, accum, semiring, A, B, dnn);
C1 = GB_mex_mxm (C, Mask, accum, semiring, A, B, dnn);
GB_spec_compare (C0, C1, identity) ;
% C = A*B with mask (with explicit zero entries)
Mask1 = sprandn (m,n,0.2) ~= 0 ;
Mask2 = Mask1 .* spones (sprandn (m,n,0.5)) ;
S = sparse (m,n) ;
Mask3 = GB_mex_Matrix_eWiseAdd (S,[ ],[ ],'minus',Mask1,Mask2) ;
clear Mask
Mask.matrix = Mask3.matrix ;
Mask.is_csc = M_is_csc ;
Mask.is_hyper = M_is_hyper ;
clear Mask1 Mask2 Mask3
% the Mask matrix will not pass GB_spok(Mask) test since
% it will have explicit zeros
C0 = GB_spec_mxm (C, Mask, accum, semiring, A, B, dnn);
C1 = GB_mex_mxm (C, Mask, accum, semiring, A, B, dnn);
GB_spec_compare (C0, C1, identity) ;
% w = A*u with mask
% mask = sprandn (m,1,0.2) ~= 0 ;
mask = GB_random_mask (m,1,0.2) ;
w0 = GB_spec_mxv (w, mask, accum, semiring, A, u, dnn);
w1 = GB_mex_mxv (w, mask, accum, semiring, A, u, dnn);
GB_spec_compare (w0, w1, identity) ;
% w' = u'*A' with mask
w0 = GB_spec_vxm (w, mask, accum, semiring, u, A, dnt) ;
w1 = GB_mex_vxm (w, mask, accum, semiring, u, A, dnt) ;
GB_spec_compare (w0, w1, identity) ;
%-----------------------------------
% A'*B
%-----------------------------------
A = GB_spec_random (s,m,density,100,aclas, A_is_csc, A_is_hyper) ;
B = GB_spec_random (s,n,density,100,aclas, B_is_csc, B_is_hyper) ;
C = GB_spec_random (m,n,density,100,aclas, C_is_csc, C_is_hyper) ;
% C = A'*B, no Mask
C0 = GB_spec_mxm (C, [ ], accum, semiring, A, B, dtn);
C1 = GB_mex_mxm (C, [ ], accum, semiring, A, B, dtn);
GB_spec_compare (C0, C1, identity) ;
% w = A'*u, no mask
w0 = GB_spec_mxv (w, [ ], accum, semiring, A, u, dtn);
w1 = GB_mex_mxv (w, [ ], accum, semiring, A, u, dtn);
GB_spec_compare (w0, w1, identity) ;
% w' = u'*A, no mask
w0 = GB_spec_vxm (w, [ ], accum, semiring, u, A, dnn);
w1 = GB_mex_vxm (w, [ ], accum, semiring, u, A, dnn);
GB_spec_compare (w0, w1, identity) ;
% C = A'*B with mask
% Mask = sprandn (m,n,0.2) ~= 0 ;
Mask = GB_random_mask (m,n,0.2, M_is_csc, M_is_hyper) ;
C0 = GB_spec_mxm (C, Mask, accum, semiring, A, B, dtn);
C1 = GB_mex_mxm (C, Mask, accum, semiring, A, B, dtn);
GB_spec_compare (C0, C1, identity) ;
% C = A'*B with mask
Mask1 = sprandn (m,n,0.2) ~= 0 ;
Mask2 = Mask1 .* spones (sprandn (m,n,0.5)) ;
S = sparse (m,n) ;
Mask3 = GB_mex_Matrix_eWiseAdd (S,[ ],[ ],'minus',Mask1,Mask2) ;
clear Mask
Mask.matrix = Mask3.matrix ;
Mask.is_csc = M_is_csc ;
Mask.is_hyper = M_is_hyper ;
clear Mask1 Mask2 Mask3
% the Mask matrix will not pass GB_spok(Mask) test since
% it will have explicit zeros
C0 = GB_spec_mxm (C, Mask, accum, semiring, A, B, dtn);
C1 = GB_mex_mxm (C, Mask, accum, semiring, A, B, dtn);
GB_spec_compare (C0, C1, identity) ;
% w = A'*u, with mask
% mask = sprandn (m,1,0.2) ~= 0 ;
mask = GB_random_mask (m,1,0.2) ;
w0 = GB_spec_mxv (w, mask, accum, semiring, A, u, dtn);
w1 = GB_mex_mxv (w, mask, accum, semiring, A, u, dtn);
GB_spec_compare (w0, w1, identity) ;
% w' = u'*A, with mask
w0 = GB_spec_vxm (w, mask, accum, semiring, u, A, dnn);
w1 = GB_mex_vxm (w, mask, accum, semiring, u, A, dnn);
GB_spec_compare (w0, w1, identity) ;
%-----------------------------------
% A*B'
%-----------------------------------
% no mask
A = GB_spec_random (m,s,density,100,aclas, A_is_csc, A_is_hyper) ;
B = GB_spec_random (n,s,density,100,aclas, B_is_csc, B_is_hyper) ;
C = GB_spec_random (m,n,density,100,aclas, C_is_csc, C_is_hyper) ;
C0 = GB_spec_mxm (C, [ ], accum, semiring, A, B, dnt);
C1 = GB_mex_mxm (C, [ ], accum, semiring, A, B, dnt);
GB_spec_compare (C0, C1, identity) ;
% with mask
% Mask = sprandn (m,n,0.2) ~= 0 ;
Mask = GB_random_mask (m,n,0.2, M_is_csc, M_is_hyper) ;
C0 = GB_spec_mxm (C, Mask, accum, semiring, A, B, dnt);
C1 = GB_mex_mxm (C, Mask, accum, semiring, A, B, dnt);
GB_spec_compare (C0, C1, identity) ;
%-----------------------------------
% A'*B'
%-----------------------------------
% no Mask
A = GB_spec_random (s,m,density,100,aclas, A_is_csc, A_is_hyper) ;
B = GB_spec_random (n,s,density,100,aclas, B_is_csc, B_is_hyper) ;
C = GB_spec_random (m,n,density,100,aclas, C_is_csc, C_is_hyper) ;
C0 = GB_spec_mxm (C, [ ], accum, semiring, A, B, dtt);
C1 = GB_mex_mxm (C, [ ], accum, semiring, A, B, dtt);
GB_spec_compare (C0, C1, identity) ;
% A'*B', with mask
% Mask = sprandn (m,n,0.2) ~= 0 ;
Mask = GB_random_mask (m,n,0.2, M_is_csc, M_is_hyper) ;
C0 = GB_spec_mxm (C, Mask, accum, semiring, A, B, dtt);
C1 = GB_mex_mxm (C, Mask, accum, semiring, A, B, dtt);
GB_spec_compare (C0, C1, identity) ;
ntrials = ntrials + 1 ;
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
fprintf ('semirings tested: %d\n', n_semirings) ;
fprintf ('\ntest20: all tests passed\n') ;
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