void libblis_test_symv_experiment
(
test_params_t* params,
test_op_t* op,
iface_t iface,
num_t datatype,
char* pc_str,
char* sc_str,
unsigned int p_cur,
double* perf,
double* resid
)
{
unsigned int n_repeats = params->n_repeats;
unsigned int i;
double time_min = DBL_MAX;
double time;
dim_t m;
uplo_t uploa;
conj_t conja;
conj_t conjx;
obj_t alpha, a, x, beta, y;
obj_t y_save;
// Map the dimension specifier to an actual dimension.
m = libblis_test_get_dim_from_prob_size( op->dim_spec[0], p_cur );
// Map parameter characters to BLIS constants.
bli_param_map_char_to_blis_uplo( pc_str[0], &uploa );
bli_param_map_char_to_blis_conj( pc_str[1], &conja );
bli_param_map_char_to_blis_conj( pc_str[2], &conjx );
// Create test scalars.
bli_obj_scalar_init_detached( datatype, &alpha );
bli_obj_scalar_init_detached( datatype, &beta );
// Create test operands (vectors and/or matrices).
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[0], m, m, &a );
libblis_test_vobj_create( params, datatype,
sc_str[1], m, &x );
libblis_test_vobj_create( params, datatype,
sc_str[2], m, &y );
libblis_test_vobj_create( params, datatype,
sc_str[2], m, &y_save );
// Set alpha and beta.
if ( bli_obj_is_real( &y ) )
{
bli_setsc( 1.0, 0.0, &alpha );
bli_setsc( -1.0, 0.0, &beta );
}
else
{
bli_setsc( 0.5, 0.5, &alpha );
bli_setsc( -0.5, 0.5, &beta );
}
// Set the structure and uplo properties of A.
bli_obj_set_struc( BLIS_SYMMETRIC, &a );
bli_obj_set_uplo( uploa, &a );
// Randomize A, make it densely symmetric, and zero the unstored triangle
// to ensure the implementation reads only from the stored region.
libblis_test_mobj_randomize( params, TRUE, &a );
bli_mksymm( &a );
bli_mktrim( &a );
// Randomize x and y, and save y.
libblis_test_vobj_randomize( params, TRUE, &x );
libblis_test_vobj_randomize( params, TRUE, &y );
bli_copyv( &y, &y_save );
// Apply the remaining parameters.
bli_obj_set_conj( conja, &a );
bli_obj_set_conj( conjx, &x );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
bli_copym( &y_save, &y );
time = bli_clock();
libblis_test_symv_impl( iface, &alpha, &a, &x, &beta, &y );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 1.0 * m * m ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( &y ) ) *perf *= 4.0;
// Perform checks.
libblis_test_symv_check( params, &alpha, &a, &x, &beta, &y, &y_save, resid );
// Zero out performance and residual if output vector is empty.
libblis_test_check_empty_problem( &y, perf, resid );
// Free the test objects.
bli_obj_free( &a );
bli_obj_free( &x );
bli_obj_free( &y );
bli_obj_free( &y_save );
}
void libblis_test_normfm_experiment
(
test_params_t* params,
test_op_t* op,
iface_t iface,
num_t datatype,
char* pc_str,
char* sc_str,
unsigned int p_cur,
double* perf,
double* resid
)
{
unsigned int n_repeats = params->n_repeats;
unsigned int i;
num_t dt_real = bli_datatype_proj_to_real( datatype );
double time_min = DBL_MAX;
double time;
dim_t m, n;
obj_t beta, norm;
obj_t x;
// Map the dimension specifier to actual dimensions.
m = libblis_test_get_dim_from_prob_size( op->dim_spec[0], p_cur );
n = libblis_test_get_dim_from_prob_size( op->dim_spec[1], p_cur );
// Map parameter characters to BLIS constants.
// Create test scalars.
bli_obj_scalar_init_detached( datatype, &beta );
bli_obj_scalar_init_detached( dt_real, &norm );
// Create test operands (vectors and/or matrices).
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[0], m, n, &x );
// Initialize beta to 2 - 2i.
bli_setsc( 2.0, -2.0, &beta );
// Set all elements of x to beta.
bli_setm( &beta, &x );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
time = bli_clock();
libblis_test_normfm_impl( iface, &x, &norm );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 2.0 * m * n ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( x ) ) *perf *= 2.0;
// Perform checks.
libblis_test_normfm_check( params, &beta, &x, &norm, resid );
// Zero out performance and residual if input matrix is empty.
libblis_test_check_empty_problem( &x, perf, resid );
// Free the test objects.
bli_obj_free( &x );
}
void libblis_test_dotxaxpyf_experiment
(
test_params_t* params,
test_op_t* op,
iface_t iface,
num_t datatype,
char* pc_str,
char* sc_str,
unsigned int p_cur,
double* perf,
double* resid
)
{
unsigned int n_repeats = params->n_repeats;
unsigned int i;
double time_min = 1e9;
double time;
dim_t m, b_n;
conj_t conjat, conja, conjw, conjx;
obj_t alpha, at, a, w, x, beta, y, z;
obj_t y_save, z_save;
cntx_t cntx;
// Initialize a context.
bli_dotxaxpyf_cntx_init( &cntx );
// Map the dimension specifier to an actual dimension.
m = libblis_test_get_dim_from_prob_size( op->dim_spec[0], p_cur );
// Query the operation's fusing factor for the current datatype.
b_n = bli_cntx_get_blksz_def_dt( datatype, BLIS_XF, &cntx );
// Store the fusing factor so that the driver can retrieve the value
// later when printing results.
op->dim_aux[0] = b_n;
// Map parameter characters to BLIS constants.
bli_param_map_char_to_blis_conj( pc_str[0], &conjat );
bli_param_map_char_to_blis_conj( pc_str[1], &conja );
bli_param_map_char_to_blis_conj( pc_str[2], &conjw );
bli_param_map_char_to_blis_conj( pc_str[3], &conjx );
// Create test scalars.
bli_obj_scalar_init_detached( datatype, &alpha );
bli_obj_scalar_init_detached( datatype, &beta );
// Create test operands (vectors and/or matrices).
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[0], m, b_n, &a );
libblis_test_vobj_create( params, datatype, sc_str[1], m, &w );
libblis_test_vobj_create( params, datatype, sc_str[2], b_n, &x );
libblis_test_vobj_create( params, datatype, sc_str[3], b_n, &y );
libblis_test_vobj_create( params, datatype, sc_str[3], b_n, &y_save );
libblis_test_vobj_create( params, datatype, sc_str[4], m, &z );
libblis_test_vobj_create( params, datatype, sc_str[4], m, &z_save );
// Set alpha.
if ( bli_obj_is_real( y ) )
{
bli_setsc( 1.2, 0.0, &alpha );
bli_setsc( -1.0, 0.0, &beta );
}
else
{
bli_setsc( 1.2, 0.1, &alpha );
bli_setsc( -1.0, -0.1, &beta );
}
// Randomize A, w, x, y, and z, and save y and z.
libblis_test_mobj_randomize( params, FALSE, &a );
libblis_test_vobj_randomize( params, FALSE, &w );
libblis_test_vobj_randomize( params, FALSE, &x );
libblis_test_vobj_randomize( params, FALSE, &y );
libblis_test_vobj_randomize( params, FALSE, &z );
bli_copyv( &y, &y_save );
bli_copyv( &z, &z_save );
// Create an alias to a for at. (Note that it should NOT actually be
// marked for transposition since the transposition is part of the dotxf
// subproblem.)
bli_obj_alias_to( a, at );
// Apply the parameters.
bli_obj_set_conj( conjat, at );
bli_obj_set_conj( conja, a );
bli_obj_set_conj( conjw, w );
bli_obj_set_conj( conjx, x );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
bli_copyv( &y_save, &y );
bli_copyv( &z_save, &z );
time = bli_clock();
libblis_test_dotxaxpyf_impl( iface,
&alpha, &at, &a, &w, &x, &beta, &y, &z,
&cntx );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 2.0 * m * b_n + 2.0 * m * b_n ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( y ) ) *perf *= 4.0;
// Perform checks.
libblis_test_dotxaxpyf_check( params, &alpha, &at, &a, &w, &x, &beta, &y, &z, &y_save, &z_save, resid );
// Zero out performance and residual if either output vector is empty.
libblis_test_check_empty_problem( &y, perf, resid );
libblis_test_check_empty_problem( &z, perf, resid );
// Free the test objects.
bli_obj_free( &a );
bli_obj_free( &w );
bli_obj_free( &x );
bli_obj_free( &y );
bli_obj_free( &z );
bli_obj_free( &y_save );
bli_obj_free( &z_save );
// Finalize the context.
bli_dotxaxpyf_cntx_finalize( &cntx );
}
void libblis_test_gemv_experiment( test_params_t* params,
test_op_t* op,
iface_t iface,
num_t datatype,
char* pc_str,
char* sc_str,
unsigned int p_cur,
double* perf,
double* resid )
{
unsigned int n_repeats = params->n_repeats;
unsigned int i;
double time_min = 1e9;
double time;
dim_t m, n;
trans_t transa;
conj_t conjx;
obj_t kappa;
obj_t alpha, a, x, beta, y;
obj_t y_save;
// Map the dimension specifier to actual dimensions.
m = libblis_test_get_dim_from_prob_size( op->dim_spec[0], p_cur );
n = libblis_test_get_dim_from_prob_size( op->dim_spec[1], p_cur );
// Map parameter characters to BLIS constants.
bli_param_map_char_to_blis_trans( pc_str[0], &transa );
bli_param_map_char_to_blis_conj( pc_str[1], &conjx );
// Create test scalars.
bli_obj_scalar_init_detached( datatype, &kappa );
bli_obj_scalar_init_detached( datatype, &alpha );
bli_obj_scalar_init_detached( datatype, &beta );
// Create test operands (vectors and/or matrices).
libblis_test_mobj_create( params, datatype, transa,
sc_str[0], m, n, &a );
libblis_test_vobj_create( params, datatype,
sc_str[1], n, &x );
libblis_test_vobj_create( params, datatype,
sc_str[2], m, &y );
libblis_test_vobj_create( params, datatype,
sc_str[2], m, &y_save );
// Set alpha and beta.
if ( bli_obj_is_real( y ) )
{
bli_setsc( 2.0, 0.0, &alpha );
bli_setsc( -1.0, 0.0, &beta );
}
else
{
bli_setsc( 0.0, 2.0, &alpha );
bli_setsc( 0.0, -1.0, &beta );
}
// Initialize diagonal of matrix A.
bli_setsc( 2.0, -1.0, &kappa );
bli_setm( &BLIS_ZERO, &a );
bli_setd( &kappa, &a );
// Randomize x and y, and save y.
bli_randv( &x );
bli_randv( &y );
bli_copyv( &y, &y_save );
// Apply the parameters.
bli_obj_set_conjtrans( transa, a );
bli_obj_set_conj( conjx, x );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
bli_copym( &y_save, &y );
time = bli_clock();
libblis_test_gemv_impl( iface, &alpha, &a, &x, &beta, &y );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 2.0 * m * n ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( y ) ) *perf *= 4.0;
// Perform checks.
libblis_test_gemv_check( &kappa, &alpha, &a, &x, &beta, &y, &y_save, resid );
// Zero out performance and residual if output vector is empty.
libblis_test_check_empty_problem( &y, perf, resid );
// Free the test objects.
bli_obj_free( &a );
bli_obj_free( &x );
bli_obj_free( &y );
bli_obj_free( &y_save );
}
void libblis_test_gemmtrsm_ukr_experiment( test_params_t* params,
test_op_t* op,
mt_impl_t impl,
num_t datatype,
char* pc_str,
char* sc_str,
unsigned int p_cur,
double* perf,
double* resid )
{
unsigned int n_repeats = params->n_repeats;
unsigned int i;
double time_min = 1e9;
double time;
dim_t m, n, k;
char sc_a = 'c';
char sc_b = 'r';
side_t side = BLIS_LEFT;
uplo_t uploa;
obj_t kappa;
obj_t alpha;
obj_t a_big, a, b;
obj_t b11, c11;
obj_t ap, bp;
obj_t a1xp, a11p, bx1p, b11p;
obj_t c11_save;
// Map the dimension specifier to actual dimensions.
k = libblis_test_get_dim_from_prob_size( op->dim_spec[0], p_cur );
// Fix m and n to MR and NR, respectively.
m = bli_blksz_for_type( datatype, gemm_mr );
n = bli_blksz_for_type( datatype, gemm_nr );
// Store the register blocksizes so that the driver can retrieve the
// values later when printing results.
op->dim_aux[0] = m;
op->dim_aux[1] = n;
// Map parameter characters to BLIS constants.
bli_param_map_char_to_blis_uplo( pc_str[0], &uploa );
// Create test scalars.
bli_obj_scalar_init_detached( datatype, &kappa );
bli_obj_scalar_init_detached( datatype, &alpha );
// Create test operands (vectors and/or matrices).
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_a, k+m, k+m, &a_big );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_b, k+m, n, &b );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[0], m, n, &c11 );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[0], m, n, &c11_save );
// Set alpha.
if ( bli_obj_is_real( b ) )
{
bli_setsc( 2.0, 0.0, &alpha );
}
else
{
bli_setsc( 2.0, 0.0, &alpha );
}
// Set the structure, uplo, and diagonal offset properties of A.
bli_obj_set_struc( BLIS_TRIANGULAR, a_big );
bli_obj_set_uplo( uploa, a_big );
// Randomize A and make it densely triangular.
bli_randm( &a_big );
// Normalize B and save.
bli_randm( &b );
bli_setsc( 1.0/( double )m, 0.0, &kappa );
bli_scalm( &kappa, &b );
// Use the last m rows of A_big as A.
bli_acquire_mpart_t2b( BLIS_SUBPART1, k, m, &a_big, &a );
// Locate the B11 block of B, copy to C11, and save.
if ( bli_obj_is_lower( a ) )
bli_acquire_mpart_t2b( BLIS_SUBPART1, k, m, &b, &b11 );
else
bli_acquire_mpart_t2b( BLIS_SUBPART1, 0, m, &b, &b11 );
bli_copym( &b11, &c11 );
bli_copym( &c11, &c11_save );
// Initialize pack objects.
bli_obj_init_pack( &ap );
bli_obj_init_pack( &bp );
// Create pack objects for a and b.
libblis_test_pobj_create( gemm_mr,
gemm_mr,
BLIS_INVERT_DIAG,
BLIS_PACKED_ROW_PANELS,
BLIS_BUFFER_FOR_A_BLOCK,
&a, &ap );
libblis_test_pobj_create( gemm_mr,
gemm_nr,
BLIS_NO_INVERT_DIAG,
BLIS_PACKED_COL_PANELS,
BLIS_BUFFER_FOR_B_PANEL,
&b, &bp );
// Pack the contents of a to ap.
bli_packm_blk_var3( &a, &ap );
// Pack the contents of b to bp.
bli_packm_blk_var2( &b, &bp );
// Create subpartitions from the a and b panels.
bli_gemmtrsm_ukr_make_subparts( k, &ap, &bp,
&a1xp, &a11p, &bx1p, &b11p );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
bli_copym( &c11_save, &c11 );
// Re-pack the contents of b to bp.
bli_packm_blk_var2( &b, &bp );
time = bli_clock();
libblis_test_gemmtrsm_ukr_impl( impl, side, &alpha,
&a1xp, &a11p, &bx1p, &b11p, &c11 );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 2.0 * m * n * k + 1.0 * m * m * n ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( b ) ) *perf *= 4.0;
// Perform checks.
libblis_test_gemmtrsm_ukr_check( side, &alpha,
&a1xp, &a11p, &bx1p, &b11p, &c11, &c11_save, resid );
// Zero out performance and residual if output matrix is empty.
//libblis_test_check_empty_problem( &c11, perf, resid );
// Release packing buffers within pack objects.
bli_obj_release_pack( &ap );
bli_obj_release_pack( &bp );
// Free the test objects.
bli_obj_free( &a_big );
bli_obj_free( &b );
bli_obj_free( &c11 );
bli_obj_free( &c11_save );
}
void libblis_test_syrk_experiment( test_params_t* params,
test_op_t* op,
mt_impl_t impl,
num_t datatype,
char* pc_str,
char* sc_str,
unsigned int p_cur,
double* perf,
double* resid )
{
unsigned int n_repeats = params->n_repeats;
unsigned int i;
double time_min = 1e9;
double time;
dim_t m, k;
uplo_t uploc;
trans_t transa;
obj_t kappa;
obj_t alpha, a, beta, c;
obj_t c_save;
// Map the dimension specifier to actual dimensions.
m = libblis_test_get_dim_from_prob_size( op->dim_spec[0], p_cur );
k = libblis_test_get_dim_from_prob_size( op->dim_spec[1], p_cur );
// Map parameter characters to BLIS constants.
bli_param_map_char_to_blis_uplo( pc_str[0], &uploc );
bli_param_map_char_to_blis_trans( pc_str[1], &transa );
// Create test scalars.
bli_obj_scalar_init_detached( datatype, &kappa );
bli_obj_scalar_init_detached( datatype, &alpha );
bli_obj_scalar_init_detached( datatype, &beta );
// Create test operands (vectors and/or matrices).
libblis_test_mobj_create( params, datatype, transa,
sc_str[0], m, k, &a );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[1], m, m, &c );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[1], m, m, &c_save );
// Set alpha and beta.
if ( bli_obj_is_real( c ) )
{
bli_setsc( 1.2, 0.0, &alpha );
bli_setsc( -1.0, 0.0, &beta );
}
else
{
// For syrk, both alpha and beta may be complex since, unlike herk,
// C is symmetric in both the real and complex cases.
bli_setsc( 1.2, 0.5, &alpha );
bli_setsc( -1.0, 0.5, &beta );
}
// Randomize A.
bli_randm( &a );
// Set the structure and uplo properties of C.
bli_obj_set_struc( BLIS_SYMMETRIC, c );
bli_obj_set_uplo( uploc, c );
// Randomize A, make it densely symmetric, and zero the unstored triangle
// to ensure the implementation is reads only from the stored region.
bli_randm( &c );
bli_mksymm( &c );
bli_mktrim( &c );
// Save C and set its structure and uplo properties.
bli_obj_set_struc( BLIS_SYMMETRIC, c_save );
bli_obj_set_uplo( uploc, c_save );
bli_copym( &c, &c_save );
// Normalize by k.
bli_setsc( 1.0/( double )k, 0.0, &kappa );
bli_scalm( &kappa, &a );
// Apply the remaining parameters.
bli_obj_set_conjtrans( transa, a );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
bli_copym( &c_save, &c );
time = bli_clock();
libblis_test_syrk_impl( impl, &alpha, &a, &beta, &c );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 1.0 * m * m * k ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( c ) ) *perf *= 4.0;
// Perform checks.
libblis_test_syrk_check( &alpha, &a, &beta, &c, &c_save, resid );
// Zero out performance and residual if output matrix is empty.
libblis_test_check_empty_problem( &c, perf, resid );
// Free the test objects.
bli_obj_free( &a );
bli_obj_free( &c );
bli_obj_free( &c_save );
}
void libblis_test_axpyf_experiment( test_params_t* params,
test_op_t* op,
iface_t iface,
num_t datatype,
char* pc_str,
char* sc_str,
unsigned int p_cur,
double* perf,
double* resid )
{
unsigned int n_repeats = params->n_repeats;
unsigned int i;
double time_min = 1e9;
double time;
dim_t m, b_n;
conj_t conja, conjx;
obj_t alpha, a, x, y;
obj_t y_save;
// Map the dimension specifier to an actual dimension.
m = libblis_test_get_dim_from_prob_size( op->dim_spec[0], p_cur );
// Query the operation's fusing factor for the current datatype.
b_n = bli_axpyf_fusefac( datatype );
// Store the fusing factor so that the driver can retrieve the value
// later when printing results.
op->dim_aux[0] = b_n;
// Map parameter characters to BLIS constants.
bli_param_map_char_to_blis_conj( pc_str[0], &conja );
bli_param_map_char_to_blis_conj( pc_str[1], &conjx );
// Create test scalars.
bli_obj_scalar_init_detached( datatype, &alpha );
// Create test operands (vectors and/or matrices).
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[0], m, b_n, &a );
libblis_test_vobj_create( params, datatype, sc_str[1], b_n, &x );
libblis_test_vobj_create( params, datatype, sc_str[2], m, &y );
libblis_test_vobj_create( params, datatype, sc_str[2], m, &y_save );
// Set alpha.
if ( bli_obj_is_real( y ) )
{
bli_setsc( -1.0, 0.0, &alpha );
}
else
{
bli_setsc( 0.0, -1.0, &alpha );
}
// Randomize A, x, and y, and save y.
bli_randm( &a );
bli_randv( &x );
bli_randv( &y );
bli_copyv( &y, &y_save );
// Apply the parameters.
bli_obj_set_conj( conja, a );
bli_obj_set_conj( conjx, x );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
bli_copyv( &y_save, &y );
time = bli_clock();
libblis_test_axpyf_impl( iface, &alpha, &a, &x, &y );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 2.0 * m * b_n ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( y ) ) *perf *= 4.0;
// Perform checks.
libblis_test_axpyf_check( &alpha, &a, &x, &y, &y_save, resid );
// Zero out performance and residual if output vector is empty.
libblis_test_check_empty_problem( &y, perf, resid );
// Free the test objects.
bli_obj_free( &a );
bli_obj_free( &x );
bli_obj_free( &y );
bli_obj_free( &y_save );
}
void libblis_test_scalm_experiment( test_params_t* params,
test_op_t* op,
iface_t iface,
num_t datatype,
char* pc_str,
char* sc_str,
unsigned int p_cur,
double* perf,
double* resid )
{
unsigned int n_repeats = params->n_repeats;
unsigned int i;
double time_min = 1e9;
double time;
dim_t m, n;
conj_t conjbeta;
obj_t beta, y;
obj_t y_save;
// Map the dimension specifier to actual dimensions.
m = libblis_test_get_dim_from_prob_size( op->dim_spec[0], p_cur );
n = libblis_test_get_dim_from_prob_size( op->dim_spec[1], p_cur );
// Map parameter characters to BLIS constants.
bli_param_map_char_to_blis_conj( pc_str[0], &conjbeta );
// Create test scalars.
bli_obj_scalar_init_detached( datatype, &beta );
// Create test operands (vectors and/or matrices).
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[0], m, n, &y );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[0], m, n, &y_save );
// Set beta to 0 + i.
//bli_setsc( 0.0, 1.0, &beta );
if ( bli_obj_is_real( y ) )
bli_setsc( -2.0, 0.0, &beta );
else
bli_setsc( 0.0, -2.0, &beta );
// Randomize and save y.
bli_randm( &y );
bli_copym( &y, &y_save );
// Apply the parameters.
bli_obj_set_conj( conjbeta, beta );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
bli_copym( &y_save, &y );
time = bli_clock();
libblis_test_scalm_impl( iface, &beta, &y );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 1.0 * m * n ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( y ) ) *perf *= 6.0;
// Perform checks.
libblis_test_scalm_check( &beta, &y, &y_save, resid );
// Zero out performance and residual if output matrix is empty.
libblis_test_check_empty_problem( &y, perf, resid );
// Free the test objects.
bli_obj_free( &y );
bli_obj_free( &y_save );
}
void libblis_test_her_experiment( test_params_t* params,
test_op_t* op,
iface_t iface,
num_t datatype,
char* pc_str,
char* sc_str,
unsigned int p_cur,
double* perf,
double* resid )
{
unsigned int n_repeats = params->n_repeats;
unsigned int i;
double time_min = 1e9;
double time;
dim_t m;
uplo_t uploa;
conj_t conjx;
obj_t alpha, x, a;
obj_t a_save;
// Map the dimension specifier to an actual dimension.
m = libblis_test_get_dim_from_prob_size( op->dim_spec[0], p_cur );
// Map parameter characters to BLIS constants.
bli_param_map_char_to_blis_uplo( pc_str[0], &uploa );
bli_param_map_char_to_blis_conj( pc_str[1], &conjx );
// Create test scalars.
bli_obj_scalar_init_detached( datatype, &alpha );
// Create test operands (vectors and/or matrices).
libblis_test_vobj_create( params, datatype,
sc_str[0], m, &x );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[1], m, m, &a );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[1], m, m, &a_save );
// Set alpha.
//bli_copysc( &BLIS_MINUS_ONE, &alpha );
bli_setsc( -1.0, 0.0, &alpha );
// Randomize x.
bli_randv( &x );
// Set the structure and uplo properties of A.
bli_obj_set_struc( BLIS_HERMITIAN, a );
bli_obj_set_uplo( uploa, a );
// Randomize A, make it densely Hermitian, and zero the unstored triangle
// to ensure the implementation is reads only from the stored region.
bli_randm( &a );
bli_mkherm( &a );
bli_mktrim( &a );
// Save A and set its structure and uplo properties.
bli_obj_set_struc( BLIS_HERMITIAN, a_save );
bli_obj_set_uplo( uploa, a_save );
bli_copym( &a, &a_save );
// Apply the remaining parameters.
bli_obj_set_conj( conjx, x );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
bli_copym( &a_save, &a );
time = bli_clock();
libblis_test_her_impl( iface, &alpha, &x, &a );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 1.0 * m * m ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( a ) ) *perf *= 4.0;
// Perform checks.
libblis_test_her_check( &alpha, &x, &a, &a_save, resid );
// Zero out performance and residual if output matrix is empty.
libblis_test_check_empty_problem( &a, perf, resid );
// Free the test objects.
bli_obj_free( &x );
bli_obj_free( &a );
bli_obj_free( &a_save );
}
void libblis_test_gemm_experiment( test_params_t* params,
test_op_t* op,
iface_t iface,
num_t datatype,
char* pc_str,
char* sc_str,
unsigned int p_cur,
double* perf,
double* resid )
{
unsigned int n_repeats = params->n_repeats;
unsigned int i;
double time_min = 1e9;
double time;
dim_t m, n, k;
trans_t transa;
trans_t transb;
obj_t kappa;
obj_t alpha, a, b, beta, c;
obj_t c_save;
// Map the dimension specifier to actual dimensions.
m = libblis_test_get_dim_from_prob_size( op->dim_spec[0], p_cur );
n = libblis_test_get_dim_from_prob_size( op->dim_spec[1], p_cur );
k = libblis_test_get_dim_from_prob_size( op->dim_spec[2], p_cur );
// Map parameter characters to BLIS constants.
bli_param_map_char_to_blis_trans( pc_str[0], &transa );
bli_param_map_char_to_blis_trans( pc_str[1], &transb );
// Create test scalars.
bli_obj_scalar_init_detached( datatype, &kappa );
bli_obj_scalar_init_detached( datatype, &alpha );
bli_obj_scalar_init_detached( datatype, &beta );
// Create test operands (vectors and/or matrices).
libblis_test_mobj_create( params, datatype, transa,
sc_str[0], m, k, &a );
libblis_test_mobj_create( params, datatype, transb,
sc_str[1], k, n, &b );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[2], m, n, &c );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[2], m, n, &c_save );
// Set alpha and beta.
if ( bli_obj_is_real( c ) )
{
bli_setsc( 1.2, 0.0, &alpha );
bli_setsc( -1.0, 0.0, &beta );
}
else
{
bli_setsc( 1.2, 0.8, &alpha );
bli_setsc( -1.0, 1.0, &beta );
}
// Randomize A, B, and C, and save C.
bli_randm( &a );
bli_randm( &b );
bli_randm( &c );
bli_copym( &c, &c_save );
// Normalize by k.
bli_setsc( 1.0/( double )k, 0.0, &kappa );
bli_scalm( &kappa, &a );
bli_scalm( &kappa, &b );
// Apply the parameters.
bli_obj_set_conjtrans( transa, a );
bli_obj_set_conjtrans( transb, b );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
bli_copym( &c_save, &c );
time = bli_clock();
libblis_test_gemm_impl( iface, &alpha, &a, &b, &beta, &c );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 2.0 * m * n * k ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( c ) ) *perf *= 4.0;
// Perform checks.
libblis_test_gemm_check( &alpha, &a, &b, &beta, &c, &c_save, resid );
// Zero out performance and residual if output matrix is empty.
libblis_test_check_empty_problem( &c, perf, resid );
// Free the test objects.
bli_obj_free( &a );
bli_obj_free( &b );
bli_obj_free( &c );
bli_obj_free( &c_save );
}
void libblis_test_subm_experiment
(
test_params_t* params,
test_op_t* op,
iface_t iface,
num_t datatype,
char* pc_str,
char* sc_str,
unsigned int p_cur,
double* perf,
double* resid
)
{
double time_min = DBL_MAX;
double time;
dim_t m, n;
trans_t transx;
obj_t alpha, beta;
obj_t x, y;
// Map the dimension specifier to actual dimensions.
m = libblis_test_get_dim_from_prob_size( op->dim_spec[0], p_cur );
n = libblis_test_get_dim_from_prob_size( op->dim_spec[1], p_cur );
// Map parameter characters to BLIS constants.
bli_param_map_char_to_blis_trans( pc_str[0], &transx );
// Create test scalars.
bli_obj_scalar_init_detached( datatype, &alpha );
bli_obj_scalar_init_detached( datatype, &beta );
// Create test operands (vectors and/or matrices).
libblis_test_mobj_create( params, datatype, transx,
sc_str[0], m, n, &x );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[1], m, n, &y );
// Initialize alpha and beta.
bli_setsc( 1.0, 1.0, &alpha );
bli_setsc( 3.0, 3.0, &beta );
// Randomize x.
bli_setm( &alpha, &x );
bli_setm( &beta, &y );
// Apply the parameters.
bli_obj_set_conjtrans( transx, x );
// Disable repeats since bli_copym() is not yet tested.
//for ( i = 0; i < n_repeats; ++i )
{
time = bli_clock();
libblis_test_subm_impl( iface, &x, &y );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 1.0 * m * n ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( x ) ) *perf *= 2.0;
// Perform checks.
libblis_test_subm_check( params, &alpha, &beta, &x, &y, resid );
// Zero out performance and residual if output matrix is empty.
libblis_test_check_empty_problem( &y, perf, resid );
// Free the test objects.
bli_obj_free( &x );
bli_obj_free( &y );
}
void libblis_test_gemm_md
(
test_params_t* params,
test_op_t* op,
iface_t iface,
char* dc_str,
char* pc_str,
char* sc_str,
unsigned int p_cur,
double* perf,
double* resid
)
{
unsigned int n_repeats = params->n_repeats;
unsigned int i;
double time_min = DBL_MAX;
double time;
num_t dt_a, dt_b, dt_c;
num_t dt_complex;
dim_t m, n, k;
trans_t transa;
trans_t transb;
obj_t alpha, a, b, beta, c;
obj_t c_save;
// Decode the datatype combination string.
bli_param_map_char_to_blis_dt( dc_str[0], &dt_c );
bli_param_map_char_to_blis_dt( dc_str[1], &dt_a );
bli_param_map_char_to_blis_dt( dc_str[2], &dt_b );
// Project one of the datatypes (it doesn't matter which) to the
// complex domain.
dt_complex = bli_dt_proj_to_complex( dt_c );
// Map the dimension specifier to actual dimensions.
m = libblis_test_get_dim_from_prob_size( op->dim_spec[0], p_cur );
n = libblis_test_get_dim_from_prob_size( op->dim_spec[1], p_cur );
k = libblis_test_get_dim_from_prob_size( op->dim_spec[2], p_cur );
// Map parameter characters to BLIS constants.
bli_param_map_char_to_blis_trans( pc_str[0], &transa );
bli_param_map_char_to_blis_trans( pc_str[1], &transb );
// Create test scalars.
bli_obj_scalar_init_detached( dt_complex, &alpha );
bli_obj_scalar_init_detached( dt_complex, &beta );
// Create test operands (vectors and/or matrices).
libblis_test_mobj_create( params, dt_a, transa,
sc_str[1], m, k, &a );
libblis_test_mobj_create( params, dt_b, transb,
sc_str[2], k, n, &b );
libblis_test_mobj_create( params, dt_c, BLIS_NO_TRANSPOSE,
sc_str[0], m, n, &c );
libblis_test_mobj_create( params, dt_c, BLIS_NO_TRANSPOSE,
sc_str[0], m, n, &c_save );
// For mixed-precision, set the computation precision of C.
if ( params->mixed_precision )
{
num_t dt_comp;
prec_t comp_prec;
// The computation precision is encoded in the computation datatype,
// which appears as an additional char in dc_str.
bli_param_map_char_to_blis_dt( dc_str[3], &dt_comp );
// Extract the precision from the computation datatype.
comp_prec = bli_dt_prec( dt_comp );
// Set the computation precision of C.
bli_obj_set_comp_prec( comp_prec, &c );
}
// Set alpha and beta.
{
bli_setsc( 2.0, 0.0, &alpha );
bli_setsc( 1.2, 0.5, &beta );
//bli_setsc( 1.0, 0.0, &alpha );
//bli_setsc( 1.0, 0.0, &beta );
}
// Randomize A, B, and C, and save C.
libblis_test_mobj_randomize( params, TRUE, &a );
libblis_test_mobj_randomize( params, TRUE, &b );
libblis_test_mobj_randomize( params, TRUE, &c );
bli_copym( &c, &c_save );
// Apply the parameters.
bli_obj_set_conjtrans( transa, &a );
bli_obj_set_conjtrans( transb, &b );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
bli_copym( &c_save, &c );
time = bli_clock();
#if 0
bli_printm( "a", &a, "%5.2f", "" );
bli_printm( "b", &b, "%5.2f", "" );
bli_printm( "c", &c, "%5.2f", "" );
bli_printm( "alpha", &alpha, "%5.2f", "" );
bli_printm( "beta", &beta, "%5.2f", "" );
#endif
libblis_test_gemm_impl( iface, &alpha, &a, &b, &beta, &c );
#if 0
bli_printm( "c after", &c, "%5.2f", "" );
#endif
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
//*perf = ( 2.0 * m * n * k ) / time_min / FLOPS_PER_UNIT_PERF;
//if ( bli_obj_is_complex( &c ) ) *perf *= 4.0;
*perf = libblis_test_gemm_flops( &a, &b, &c ) / time_min / FLOPS_PER_UNIT_PERF;
// Perform checks.
libblis_test_gemm_md_check( params, &alpha, &a, &b, &beta, &c, &c_save, resid );
// Zero out performance and residual if output matrix is empty.
libblis_test_check_empty_problem( &c, perf, resid );
// Free the test objects.
bli_obj_free( &a );
bli_obj_free( &b );
bli_obj_free( &c );
bli_obj_free( &c_save );
}
void libblis_test_ger_experiment
(
test_params_t* params,
test_op_t* op,
iface_t iface,
num_t datatype,
char* pc_str,
char* sc_str,
unsigned int p_cur,
double* perf,
double* resid
)
{
unsigned int n_repeats = params->n_repeats;
unsigned int i;
double time_min = DBL_MAX;
double time;
dim_t m, n;
conj_t conjx, conjy;
obj_t alpha, x, y, a;
obj_t a_save;
// Map the dimension specifier to actual dimensions.
m = libblis_test_get_dim_from_prob_size( op->dim_spec[0], p_cur );
n = libblis_test_get_dim_from_prob_size( op->dim_spec[1], p_cur );
// Map parameter characters to BLIS constants.
bli_param_map_char_to_blis_conj( pc_str[0], &conjx );
bli_param_map_char_to_blis_conj( pc_str[1], &conjy );
// Create test scalars.
bli_obj_scalar_init_detached( datatype, &alpha );
// Create test operands (vectors and/or matrices).
libblis_test_vobj_create( params, datatype,
sc_str[0], m, &x );
libblis_test_vobj_create( params, datatype,
sc_str[1], n, &y );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[2], m, n, &a );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[2], m, n, &a_save );
// Set alpha.
if ( bli_obj_is_real( &a ) )
bli_setsc( -1.0, 1.0, &alpha );
else
bli_setsc( -1.0, 1.0, &alpha );
// Randomize x and y.
libblis_test_vobj_randomize( params, TRUE, &x );
libblis_test_vobj_randomize( params, TRUE, &y );
// Initialize A to identity and save.
bli_setm( &BLIS_ZERO, &a );
bli_setd( &BLIS_ONE, &a );
bli_copym( &a, &a_save );
// Apply the parameters.
bli_obj_set_conj( conjx, &x );
bli_obj_set_conj( conjy, &y );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
bli_copym( &a_save, &a );
time = bli_clock();
libblis_test_ger_impl( iface, &alpha, &x, &y, &a );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 2.0 * m * n ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( &a ) ) *perf *= 4.0;
// Perform checks.
libblis_test_ger_check( params, &alpha, &x, &y, &a, &a_save, resid );
// Zero out performance and residual if output matrix is empty.
libblis_test_check_empty_problem( &a, perf, resid );
// Free the test objects.
bli_obj_free( &x );
bli_obj_free( &y );
bli_obj_free( &a );
bli_obj_free( &a_save );
}
void libblis_test_randm_experiment( test_params_t* params,
test_op_t* op,
mt_impl_t impl,
num_t dt,
char* pc_str,
char* sc_str,
unsigned int p_cur,
double* perf,
double* resid )
{
unsigned int n_repeats = params->n_repeats;
unsigned int i;
double time_min = 1e9;
double time;
dim_t m, n;
char x_store;
obj_t x;
// Map the dimension specifier to actual dimensions.
m = libblis_test_get_dim_from_prob_size( op->dim_spec[0], p_cur );
n = libblis_test_get_dim_from_prob_size( op->dim_spec[1], p_cur );
// Map parameter characters to BLIS constants.
// Extract the storage character for each operand.
x_store = sc_str[0];
// Create the test objects.
libblis_test_mobj_create( params, dt, BLIS_NO_TRANSPOSE, x_store, m, n, &x );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
time = bli_clock();
libblis_test_randm_impl( impl, &x );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 2.0 * m * n ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( x ) ) *perf *= 2.0;
// Perform checks.
// For randm(), we don't return a meaningful residual/diff, since we can't
// really say for sure what is "random" and what is not, so instead we
// manually perform some checks that will fail under some scenarios whic
// we consider to be likely.
libblis_test_randm_check( &x, resid );
// Zero out performance and residual if input matrix is empty.
libblis_test_check_empty_problem( &x, perf, resid );
// Free the test objects.
bli_obj_free( &x );
}
void libblis_test_trsm_experiment
(
test_params_t* params,
test_op_t* op,
iface_t iface,
num_t datatype,
char* pc_str,
char* sc_str,
unsigned int p_cur,
double* perf,
double* resid
)
{
unsigned int n_repeats = params->n_repeats;
unsigned int i;
double time_min = 1e9;
double time;
dim_t m, n;
dim_t mn_side;
side_t side;
uplo_t uploa;
trans_t transa;
diag_t diaga;
obj_t alpha, a, b;
obj_t b_save;
// Map the dimension specifier to actual dimensions.
m = libblis_test_get_dim_from_prob_size( op->dim_spec[0], p_cur );
n = libblis_test_get_dim_from_prob_size( op->dim_spec[1], p_cur );
// Map parameter characters to BLIS constants.
bli_param_map_char_to_blis_side( pc_str[0], &side );
bli_param_map_char_to_blis_uplo( pc_str[1], &uploa );
bli_param_map_char_to_blis_trans( pc_str[2], &transa );
bli_param_map_char_to_blis_diag( pc_str[3], &diaga );
// Create test scalars.
bli_obj_scalar_init_detached( datatype, &alpha );
// Create test operands (vectors and/or matrices).
bli_set_dim_with_side( side, m, n, mn_side );
libblis_test_mobj_create( params, datatype, transa,
sc_str[0], mn_side, mn_side, &a );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[1], m, n, &b );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[1], m, n, &b_save );
// Set alpha.
if ( bli_obj_is_real( b ) )
{
bli_setsc( 2.0, 0.0, &alpha );
}
else
{
bli_setsc( 2.0, 0.0, &alpha );
}
// Set the structure and uplo properties of A.
bli_obj_set_struc( BLIS_TRIANGULAR, a );
bli_obj_set_uplo( uploa, a );
// Randomize A, load the diagonal, make it densely triangular.
libblis_test_mobj_randomize( params, TRUE, &a );
libblis_test_mobj_load_diag( params, &a );
bli_mktrim( &a );
// Randomize B and save B.
libblis_test_mobj_randomize( params, TRUE, &b );
bli_copym( &b, &b_save );
// Apply the remaining parameters.
bli_obj_set_conjtrans( transa, a );
bli_obj_set_diag( diaga, a );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
bli_copym( &b_save, &b );
time = bli_clock();
libblis_test_trsm_impl( iface, side, &alpha, &a, &b );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 1.0 * mn_side * m * n ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( b ) ) *perf *= 4.0;
// Perform checks.
libblis_test_trsm_check( params, side, &alpha, &a, &b, &b_save, resid );
// Zero out performance and residual if output matrix is empty.
libblis_test_check_empty_problem( &b, perf, resid );
// Free the test objects.
bli_obj_free( &a );
bli_obj_free( &b );
bli_obj_free( &b_save );
}
void libblis_test_her2k_experiment
(
test_params_t* params,
test_op_t* op,
iface_t iface,
num_t datatype,
char* pc_str,
char* sc_str,
unsigned int p_cur,
double* perf,
double* resid
)
{
unsigned int n_repeats = params->n_repeats;
unsigned int i;
double time_min = DBL_MAX;
double time;
dim_t m, k;
uplo_t uploc;
trans_t transa, transb;
obj_t alpha, a, b, beta, c;
obj_t c_save;
// Map the dimension specifier to actual dimensions.
m = libblis_test_get_dim_from_prob_size( op->dim_spec[0], p_cur );
k = libblis_test_get_dim_from_prob_size( op->dim_spec[1], p_cur );
// Map parameter characters to BLIS constants.
bli_param_map_char_to_blis_uplo( pc_str[0], &uploc );
bli_param_map_char_to_blis_trans( pc_str[1], &transa );
bli_param_map_char_to_blis_trans( pc_str[2], &transb );
// Create test scalars.
bli_obj_scalar_init_detached( datatype, &alpha );
bli_obj_scalar_init_detached( datatype, &beta );
// Create test operands (vectors and/or matrices).
libblis_test_mobj_create( params, datatype, transa,
sc_str[0], m, k, &a );
libblis_test_mobj_create( params, datatype, transb,
sc_str[1], m, k, &b );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[2], m, m, &c );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[2], m, m, &c_save );
// Set alpha and beta.
if ( bli_obj_is_real( c ) )
{
bli_setsc( 0.8, 0.0, &alpha );
bli_setsc( -1.0, 0.0, &beta );
}
else
{
// For her2k, alpha may be complex, but beta must be real-valued
// (in order to preserve the Hermitian structure of C).
bli_setsc( 0.8, 0.5, &alpha );
bli_setsc( -1.0, 0.0, &beta );
}
// Randomize A and B.
libblis_test_mobj_randomize( params, TRUE, &a );
libblis_test_mobj_randomize( params, TRUE, &b );
// Set the structure and uplo properties of C.
bli_obj_set_struc( BLIS_HERMITIAN, c );
bli_obj_set_uplo( uploc, c );
// Randomize A, make it densely Hermitian, and zero the unstored triangle
// to ensure the implementation is reads only from the stored region.
libblis_test_mobj_randomize( params, TRUE, &c );
bli_mkherm( &c );
bli_mktrim( &c );
// Save C and set its structure and uplo properties.
bli_obj_set_struc( BLIS_HERMITIAN, c_save );
bli_obj_set_uplo( uploc, c_save );
bli_copym( &c, &c_save );
// Apply the remaining parameters.
bli_obj_set_conjtrans( transa, a );
bli_obj_set_conjtrans( transb, b );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
bli_copym( &c_save, &c );
time = bli_clock();
libblis_test_her2k_impl( iface, &alpha, &a, &b, &beta, &c );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 2.0 * m * m * k ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( c ) ) *perf *= 4.0;
// Perform checks.
libblis_test_her2k_check( params, &alpha, &a, &b, &beta, &c, &c_save, resid );
// Zero out performance and residual if output matrix is empty.
libblis_test_check_empty_problem( &c, perf, resid );
// Free the test objects.
bli_obj_free( &a );
bli_obj_free( &b );
bli_obj_free( &c );
bli_obj_free( &c_save );
}
void libblis_test_trmv_experiment( test_params_t* params,
test_op_t* op,
mt_impl_t impl,
num_t datatype,
char* pc_str,
char* sc_str,
unsigned int p_cur,
double* perf,
double* resid )
{
unsigned int n_repeats = params->n_repeats;
unsigned int i;
double time_min = 1e9;
double time;
dim_t m;
uplo_t uploa;
trans_t transa;
diag_t diaga;
obj_t kappa;
obj_t alpha, a, x;
obj_t x_save;
// Map the dimension specifier to an actual dimension.
m = libblis_test_get_dim_from_prob_size( op->dim_spec[0], p_cur );
// Map parameter characters to BLIS constants.
bli_param_map_char_to_blis_uplo( pc_str[0], &uploa );
bli_param_map_char_to_blis_trans( pc_str[1], &transa );
bli_param_map_char_to_blis_diag( pc_str[2], &diaga );
// Create test scalars.
bli_obj_init_scalar( datatype, &alpha );
bli_obj_init_scalar( datatype, &kappa );
// Create test operands (vectors and/or matrices).
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[0], m, m, &a );
libblis_test_vobj_create( params, datatype,
sc_str[1], m, &x );
libblis_test_vobj_create( params, datatype,
sc_str[1], m, &x_save );
// Set alpha.
if ( bli_obj_is_real( x ) )
bli_setsc( -1.0, 0.0, &alpha );
else
bli_setsc( 0.0, -1.0, &alpha );
// Set the structure and uplo properties of A.
bli_obj_set_struc( BLIS_TRIANGULAR, a );
bli_obj_set_uplo( uploa, a );
// Randomize A, make it densely triangular.
bli_randm( &a );
bli_mktrim( &a );
// Randomize x and save.
bli_randv( &x );
bli_copyv( &x, &x_save );
// Normalize vectors by m.
bli_setsc( 1.0/( double )m, 0.0, &kappa );
bli_scalv( &kappa, &x );
bli_scalv( &kappa, &x_save );
// Apply the remaining parameters.
bli_obj_set_conjtrans( transa, a );
bli_obj_set_diag( diaga, a );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
bli_copym( &x_save, &x );
time = bli_clock();
libblis_test_trmv_impl( impl, &alpha, &a, &x );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 1.0 * m * m ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( x ) ) *perf *= 4.0;
// Perform checks.
libblis_test_trmv_check( &alpha, &a, &x, &x_save, resid );
// Zero out performance and residual if output vector is empty.
libblis_test_check_empty_problem( &x, perf, resid );
// Free the test objects.
bli_obj_free( &a );
bli_obj_free( &x );
bli_obj_free( &x_save );
}
void libblis_test_hemm_experiment( test_params_t* params,
test_op_t* op,
iface_t iface,
num_t datatype,
char* pc_str,
char* sc_str,
unsigned int p_cur,
double* perf,
double* resid )
{
unsigned int n_repeats = params->n_repeats;
unsigned int i;
double time_min = 1e9;
double time;
dim_t m, n;
dim_t mn_side;
side_t side;
uplo_t uploa;
conj_t conja;
trans_t transb;
obj_t kappa;
obj_t alpha, a, b, beta, c;
obj_t c_save;
// Map the dimension specifier to actual dimensions.
m = libblis_test_get_dim_from_prob_size( op->dim_spec[0], p_cur );
n = libblis_test_get_dim_from_prob_size( op->dim_spec[1], p_cur );
// Map parameter characters to BLIS constants.
bli_param_map_char_to_blis_side( pc_str[0], &side );
bli_param_map_char_to_blis_uplo( pc_str[1], &uploa );
bli_param_map_char_to_blis_conj( pc_str[2], &conja );
bli_param_map_char_to_blis_trans( pc_str[3], &transb );
// Create test scalars.
bli_obj_scalar_init_detached( datatype, &kappa );
bli_obj_scalar_init_detached( datatype, &alpha );
bli_obj_scalar_init_detached( datatype, &beta );
// Create test operands (vectors and/or matrices).
bli_set_dim_with_side( side, m, n, mn_side );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[0], mn_side, mn_side, &a );
libblis_test_mobj_create( params, datatype, transb,
sc_str[1], m, n, &b );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[2], m, n, &c );
libblis_test_mobj_create( params, datatype, BLIS_NO_TRANSPOSE,
sc_str[2], m, n, &c_save );
// Set alpha and beta.
if ( bli_obj_is_real( c ) )
{
bli_setsc( 1.2, 0.0, &alpha );
bli_setsc( -1.0, 0.0, &beta );
}
else
{
bli_setsc( 1.2, 0.8, &alpha );
bli_setsc( -1.0, 1.0, &beta );
}
// Set the structure and uplo properties of A.
bli_obj_set_struc( BLIS_HERMITIAN, a );
bli_obj_set_uplo( uploa, a );
// Randomize A, make it densely Hermitian, and zero the unstored triangle
// to ensure the implementation reads only from the stored region.
bli_randm( &a );
bli_mkherm( &a );
bli_mktrim( &a );
// Randomize B and C, and save C.
bli_randm( &b );
bli_randm( &c );
bli_copym( &c, &c_save );
// Normalize by m.
bli_setsc( 1.0/( double )m, 0.0, &kappa );
bli_scalm( &kappa, &b );
// Apply the remaining parameters.
bli_obj_set_conj( conja, a );
bli_obj_set_conjtrans( transb, b );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
bli_copym( &c_save, &c );
time = bli_clock();
libblis_test_hemm_impl( iface, side, &alpha, &a, &b, &beta, &c );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 2.0 * mn_side * m * n ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( c ) ) *perf *= 4.0;
// Perform checks.
libblis_test_hemm_check( side, &alpha, &a, &b, &beta, &c, &c_save, resid );
// Zero out performance and residual if output matrix is empty.
libblis_test_check_empty_problem( &c, perf, resid );
// Free the test objects.
bli_obj_free( &a );
bli_obj_free( &b );
bli_obj_free( &c );
bli_obj_free( &c_save );
}
