27 #include <tests/myratest.h> 37 myra::out() << typestring<Number>() << std::endl;
40 Number alpha = random<Number>();
41 Number beta = random<Number>();
46 gemm_inplace(C1,A,
'N',A,
'T',alpha,beta);
47 syrk_inplace(C2,
'U',A,
'N',alpha,beta);
48 Precision error = frobenius(triu(C1-C2));
49 myra::out() <<
" |syrk('N')-gemm('N','T')| = " << error << std::endl;
50 REQUIRE(error < tolerance);
56 gemm_inplace(C1,A,
'T',A,
'N',alpha,beta);
57 syrk_inplace(C2,
'U',A,
'T',alpha,beta);
58 Precision error = frobenius(triu(C1-C2));
59 myra::out() <<
" |syrk('T')-gemm('T','N')| = " << error << std::endl;
60 REQUIRE(error < tolerance);
66 gemm_inplace(C1,A,
'C',A,
'H',alpha,beta);
67 syrk_inplace(C2,
'U',A,
'C',alpha,beta);
68 Precision error = frobenius(triu(C1-C2));
69 myra::out() <<
" |syrk('C')-gemm('C','H')| = " << error << std::endl;
70 REQUIRE(error < tolerance);
76 gemm_inplace(C1,A,
'H',A,
'C',alpha,beta);
77 syrk_inplace(C2,
'U',A,
'H',alpha,beta);
78 Precision error = frobenius(triu(C1-C2));
79 myra::out() <<
" |syrk('H')-gemm('H','C')| = " << error << std::endl;
80 REQUIRE(error < tolerance);
86 ADD_TEST(
"ssyrkU",
"[dense][blas]")
87 { test<NumberS>(57,24,1.0e-4f); }
89 ADD_TEST(
"dsyrkU",
"[dense][blas]")
90 { test<NumberD>(57,24,1.0e-8); }
92 ADD_TEST(
"csyrkU",
"[dense][blas]")
93 { test<NumberC>(57,24,1.0e-4f); }
95 ADD_TEST(
"zhsykU",
"[dense][blas]")
96 { test<NumberZ>(57,24,1.0e-8); }
Returns a conjugated copy of a Matrix or Vector. Or, conjugate one inplace.
Tabulates an IxJ matrix. Allows random access, has column major layout to be compatible with BLAS/LAP...
Definition: bdsqr.h:20
Routines for computing Frobenius norms of various algebraic containers.
static Matrix< Number > random(int I, int J)
Generates a random Matrix of specified size.
Definition: Matrix.cpp:353
Returns a transposed copy of a Matrix. The inplace version only works on a square operand...
Returns the lower triangle of a dense Matrix.
Returns the upper triangle of a dense Matrix.
Various utility functions/classes related to scalar Number types.
General purpose dense matrix container, O(i*j) storage.
Reflects Precision trait for a Number, scalar Number types should specialize it.
Definition: Number.h:33
Returns a hermitian copy of a Matrix. The inplace version only works on a square operand.
Simplistic random number functions.
Routines for symmetric rank-k updates, a specialized form of Matrix*Matrix multiplication.
Variety of routines all for dense Matrix*Matrix multiplies. Delegates to the BLAS.
std::complex<float>
|syrk('N')-gemm('N','T')| = 0
|syrk('T')-gemm('T','N')| = 0
|syrk('C')-gemm('C','H')| = 0
|syrk('H')-gemm('H','C')| = 0