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function test127
%TEST127 test GrB_eWiseAdd and GrB_eWiseMult (all types and operators)
% SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2025, All Rights Reserved.
% SPDX-License-Identifier: Apache-2.0
[binops, ~, ~, types, ~, ~] = GB_spec_opsall ;
binops = binops.all ;
types = types.all ;
fprintf ('test127 -----------tests of GrB_eWiseAdd and eWiseMult (all ops)\n') ;
m = 5 ;
n = 5 ;
rng ('default') ;
dnn = struct ;
dtn = struct ( 'inp0', 'tran' ) ;
dnt = struct ( 'inp1', 'tran' ) ;
dtt = struct ( 'inp0', 'tran', 'inp1', 'tran' ) ;
dnn_notM = struct ('mask', 'complement') ;
Amat2 = sparse (2 * sprand (m,n, 0.8)) ;
Bmat2 = sparse (2 * sprand (m,n, 0.8)) ;
Cmat2 = sparse (2 * sprand (m,n, 0.8)) ;
w2 = sparse (2 * sprand (m,1, 0.8)) ;
uvec2 = sparse (2 * sprand (m,1, 0.8)) ;
vvec2 = sparse (2 * sprand (m,1, 0.8)) ;
Amat = sparse (100 * sprandn (m,n, 0.8)) ;
Bmat = sparse (100 * sprandn (m,n, 0.8)) ;
Cmat = sparse (100 * sprandn (m,n, 0.8)) ;
w = sparse (100 * sprandn (m,1, 0.8)) ;
uvec = sparse (100 * sprandn (m,1, 0.8)) ;
vvec = sparse (100 * sprandn (m,1, 0.8)) ;
Maskmat = sprandn (m,n,0.9) ~= 0 ;
maskvec = sprandn (m,1,0.9) ~= 0 ;
% create a very sparse matrix mask
Maskmat2 = sparse (m,n) ;
T = Amat .* Bmat ;
[i j x] = find (T) ;
if (length (i) > 0)
Maskmat2 (i(1), j(1)) = 1 ;
end
T = (Amat ~= 0) & (Bmat == 0) ;
[i j x] = find (T) ;
if (length (i) > 0)
Maskmat2 (i(1), j(1)) = 1 ;
end
T = (Amat == 0) & (Bmat ~= 0) ;
[i j x] = find (T) ;
if (length (i) > 0)
Maskmat2 (i(1), j(1)) = 1 ;
end
clear T i j x
% create a very sparse vector mask
maskvec2 = sparse (m,1) ;
T = uvec .* vvec ;
[i j x] = find (T) ;
if (length (i) > 0)
maskvec2 (i(1), j(1)) = 1 ;
end
T = (uvec ~= 0) & (vvec == 0) ;
[i j x] = find (T) ;
if (length (i) > 0)
maskvec2 (i(1), j(1)) = 1 ;
end
T = (uvec == 0) & (vvec ~= 0) ;
[i j x] = find (T) ;
if (length (i) > 0)
maskvec2 (i(1), j(1)) = 1 ;
end
clear T i j x
ATmat = Amat' ;
BTmat = Bmat' ;
ATmat2 = Amat2.' ;
BTmat2 = Bmat2.' ;
M_is_very_sparse = 0 ;
M_is_csc = 0 ;
A_is_csc = 0 ;
B_is_csc = 0 ;
C_is_csc = 0 ;
C_sparsity_control = 0 ;
M_sparsity_control = 0 ;
for k2 = 1:length(binops)
binop = binops {k2} ;
for k1 = 1:length (types)
type = types {k1} ;
op.opname = binop ;
op.optype = type ;
try
GB_spec_operator (op) ;
catch
continue ;
end
if (test_contains (type, 'single'))
tol = 1e-5 ;
elseif (test_contains (type, 'double'))
tol = 1e-12 ;
else
tol = 0 ;
end
for A_sparsity_control = 0:1
for B_sparsity_control = 0:1
if (A_sparsity_control == 1 && B_sparsity_control == 0)
continue ;
end
%---------------------------------------------------------------
% create the test matrices
%---------------------------------------------------------------
if (A_sparsity_control == 0)
A_is_hyper = 0 ; % not hyper
A_sparsity = 1 ; % sparse
else
A_is_hyper = 0 ; % not hyper
A_sparsity = 4 ; % bitmap
end
if (B_sparsity_control == 0)
B_is_hyper = 0 ; % not hyper
B_sparsity = 1 ; % sparse
else
B_is_hyper = 0 ; % not hyper
B_sparsity = 4 ; % bitmap
end
if (C_sparsity_control == 0)
C_is_hyper = 0 ; % not hyper
C_sparsity = 1 ; % sparse
else
C_is_hyper = 0 ; % not hyper
C_sparsity = 4 ; % bitmap
end
clear A AT B BT C u v
if (isequal (binop, 'pow'))
A.matrix = Amat2 ;
AT.matrix = ATmat2 ;
B.matrix = Bmat2 ;
BT.matrix = BTmat2 ;
C.matrix = Cmat2 ;
u.matrix = uvec2 ;
v.matrix = vvec2 ;
else
A.matrix = Amat ;
AT.matrix = ATmat ;
B.matrix = Bmat ;
BT.matrix = BTmat ;
C.matrix = Cmat ;
u.matrix = uvec ;
v.matrix = vvec ;
end
A.is_hyper = A_is_hyper ;
A.is_csc = A_is_csc ;
A.sparsity = A_sparsity ;
A.class = op.optype ;
AT.is_hyper = A_is_hyper ;
AT.sparsity = A_sparsity ;
AT.is_csc = A_is_csc ;
AT.class = op.optype ;
B.is_hyper = B_is_hyper ;
B.sparsity = B_sparsity ;
B.is_csc = B_is_csc ;
B.class = op.optype ;
BT.is_hyper = B_is_hyper ;
BT.sparsity = B_sparsity ;
BT.is_csc = B_is_csc ;
BT.class = op.optype ;
C.is_hyper = C_is_hyper ;
C.is_csc = C_is_csc ;
C.sparsity = C_sparsity ;
u.is_csc = true ;
u.class = op.optype ;
v.is_csc = true ;
v.class = op.optype ;
clear Mask mask
if (M_is_very_sparse)
Mask.matrix = Maskmat2 ;
mask.matrix = maskvec2 ;
else
Mask.matrix = Maskmat ;
mask.matrix = maskvec ;
end
if (M_sparsity_control == 0)
M_is_hyper = 0 ; % not hyper
M_sparsity = 1 ; % sparse
else
M_is_hyper = 0 ; % not hyper
M_sparsity = 4 ; % bitmap
end
Mask.is_hyper = M_is_hyper ;
Mask.sparsity = M_sparsity ;
Mask.is_csc = M_is_csc ;
mask.is_csc = true ;
%---------------------------------------------------------------
% A+B
%---------------------------------------------------------------
C0 = GB_spec_Matrix_eWiseAdd (C, [ ], [ ], op, A, B, dnn) ;
C1 = GB_mex_Matrix_eWiseAdd (C, [ ], [ ], op, A, B, dnn) ;
GB_spec_compare (C0, C1, 0, tol) ;
%---------------------------------------------------------------
% A.*B
%---------------------------------------------------------------
C0 = GB_spec_Matrix_eWiseMult (C, [ ], [ ], op, A, B, dnn) ;
C1 = GB_mex_Matrix_eWiseMult (C, [ ], [ ], op, A, B, dnn) ;
GB_spec_compare (C0, C1, 0, tol) ;
%---------------------------------------------------------------
% A'.*B
%---------------------------------------------------------------
C0 = GB_spec_Matrix_eWiseMult (C, [ ], [ ], op, AT, B, dtn) ;
C1 = GB_mex_Matrix_eWiseMult (C, [ ], [ ], op, AT, B, dtn) ;
GB_spec_compare (C0, C1, 0, tol) ;
%---------------------------------------------------------------
% B.*A'
%---------------------------------------------------------------
C0 = GB_spec_Matrix_eWiseMult (C, [ ], [ ], op, B, AT, dnt) ;
C1 = GB_mex_Matrix_eWiseMult (C, [ ], [ ], op, B, AT, dnt) ;
GB_spec_compare (C0, C1, 0, tol) ;
%---------------------------------------------------------------
% A.*B, with mask
%---------------------------------------------------------------
C0 = GB_spec_Matrix_eWiseMult (C, Mask, [ ], op, A, B, dnn) ;
C1 = GB_mex_Matrix_eWiseMult (C, Mask, [ ], op, A, B, dnn) ;
GB_spec_compare (C0, C1, 0, tol) ;
end
end
end
fprintf ('.') ;
end
fprintf ('\ntest127: all tests passed\n') ;
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