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_setv_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;
obj_t beta;
obj_t x;
// 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.
// Create test scalars.
bli_obj_scalar_init_detached( datatype, &beta );
// Create test operands (vectors and/or matrices).
libblis_test_vobj_create( params, datatype, sc_str[0], m, &x );
// Initialize beta to unit.
bli_copysc( &BLIS_ONE, &beta );
// Randomize x.
bli_randv( &x );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
time = bli_clock();
libblis_test_setv_impl( iface, &beta, &x );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 1.0 * m ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( x ) ) *perf *= 2.0;
// Perform checks.
libblis_test_setv_check( &beta, &x, 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( &x );
}
void libblis_test_herk_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, k;
uplo_t uploc;
trans_t transa;
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, &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 herk, alpha and beta must both be real-valued, even in the
// complex case (in order to preserve the Hermitian structure of C).
bli_setsc( 1.2, 0.0, &alpha );
bli_setsc( -1.0, 0.0, &beta );
}
// Randomize A.
libblis_test_mobj_randomize( params, TRUE, &a );
// 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 );
// 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_herk_impl( iface, &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_herk_check( params, &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_randv_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;
char x_store;
obj_t x;
// 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.
// Extract the storage character for each operand.
x_store = sc_str[0];
// Create the test objects.
libblis_test_vobj_create( params, datatype, x_store, m, &x );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
time = bli_clock();
libblis_test_randv_impl( iface, &x );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 2.0 * m ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( x ) ) *perf *= 2.0;
// Perform checks.
// For randv(), 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_randv_check( params, &x, 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( &x );
}
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 );
}
void libblis_test_dotaxpyv_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;
conj_t conjxt, conjx, conjy;
conj_t conjconjxty;
obj_t alpha, xt, x, y, rho, z;
obj_t z_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_conj( pc_str[0], &conjxt );
bli_param_map_char_to_blis_conj( pc_str[1], &conjx );
bli_param_map_char_to_blis_conj( pc_str[2], &conjy );
// Create test scalars.
bli_obj_scalar_init_detached( datatype, &alpha );
bli_obj_scalar_init_detached( datatype, &rho );
// 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], m, &y );
libblis_test_vobj_create( params, datatype, sc_str[2], m, &z );
libblis_test_vobj_create( params, datatype, sc_str[2], m, &z_save );
// Set alpha.
if ( bli_obj_is_real( z ) )
{
bli_setsc( -0.8, 0.0, &alpha );
}
else
{
bli_setsc( 0.0, -0.8, &alpha );
}
// Randomize x and z, and save z.
bli_randv( &x );
bli_randv( &z );
bli_copyv( &z, &z_save );
// Create an alias to x for xt. (Note that it doesn't actually need to be
// transposed.)
bli_obj_alias_to( x, xt );
// Determine whether to make a copy of x with or without conjugation.
//
// conjx conjy ~conjx^conjy y is initialized as
// n n c y = conj(x)
// n c n y = x
// c n n y = x
// c c c y = conj(x)
//
conjconjxty = bli_apply_conj( conjxt, conjy );
conjconjxty = bli_conj_toggled( conjconjxty );
bli_obj_set_conj( conjconjxty, xt );
bli_copyv( &xt, &y );
// Apply the parameters.
bli_obj_set_conj( conjxt, xt );
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_copysc( &BLIS_MINUS_ONE, &rho );
bli_copyv( &z_save, &z );
time = bli_clock();
libblis_test_dotaxpyv_impl( iface, &alpha, &xt, &x, &y, &rho, &z );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 2.0 * m + 2.0 * m ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( z ) ) *perf *= 4.0;
// Perform checks.
libblis_test_dotaxpyv_check( &alpha, &xt, &x, &y, &rho, &z, &z_save, resid );
// Zero out performance and residual if output vector is empty.
libblis_test_check_empty_problem( &z, perf, resid );
// Free the test objects.
bli_obj_free( &x );
bli_obj_free( &y );
bli_obj_free( &z );
bli_obj_free( &z_save );
}
void libblis_test_scal2v_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;
conj_t conjx;
obj_t alpha, 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 );
// Map parameter characters to BLIS constants.
bli_param_map_char_to_blis_conj( pc_str[0], &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_vobj_create( params, datatype, sc_str[1], m, &y );
libblis_test_vobj_create( params, datatype, sc_str[1], m, &y_save );
// Set alpha.
//bli_setsc( sqrt(2.0)/2.0, sqrt(2.0)/2.0, &alpha );
//bli_copysc( &BLIS_TWO, &alpha );
if ( bli_obj_is_real( y ) )
bli_setsc( -2.0, 0.0, &alpha );
else
bli_setsc( 0.0, -2.0, &alpha );
// Randomize x and y, and save y.
bli_randv( &x );
bli_randv( &y );
bli_copyv( &y, &y_save );
// Apply the parameters.
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_scal2v_impl( iface, &alpha, &x, &y );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 2.0 * m ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( y ) ) *perf *= 4.0;
// Perform checks.
libblis_test_scal2v_check( &alpha, &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( &x );
bli_obj_free( &y );
bli_obj_free( &y_save );
}
void libblis_test_addv_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 = 1e9;
double time;
dim_t m;
conj_t conjx;
obj_t alpha, beta;
obj_t x, y;
// 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_conj( pc_str[0], &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_vobj_create( params, datatype, sc_str[0], m, &x );
libblis_test_vobj_create( params, datatype, sc_str[1], m, &y );
// Initialize alpha and beta.
bli_setsc( -1.0, -1.0, &alpha );
bli_setsc( 3.0, 3.0, &beta );
// Set x and y to alpha and beta, respectively.
bli_setv( &alpha, &x );
bli_setv( &beta, &y );
// Apply the parameters.
bli_obj_set_conj( conjx, x );
// Disable repeats since bli_copyv() is not yet tested.
//for ( i = 0; i < n_repeats; ++i )
{
time = bli_clock();
libblis_test_addv_impl( iface, &x, &y );
time_min = bli_clock_min_diff( time_min, time );
}
// Estimate the performance of the best experiment repeat.
*perf = ( 2.0 * m ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( x ) ) *perf *= 2.0;
// Perform checks.
libblis_test_addv_check( &alpha, &beta, &x, &y, 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( &x );
bli_obj_free( &y );
}
void libblis_test_copym_experiment
(
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
)
{
double time_min = DBL_MAX;
double time;
num_t datatype;
dim_t m, n;
trans_t transx;
obj_t x, y;
// Use the datatype of the first char in the datatype combination string.
bli_param_map_char_to_blis_dt( dc_str[0], &datatype );
// 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 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 );
// Randomize x and set y to one.
libblis_test_mobj_randomize( params, FALSE, &x );
bli_setm( &BLIS_ONE, &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_copym_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_copym_check( params, &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_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_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_gemv_experiment
(
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 datatype;
dim_t m, n;
trans_t transa;
conj_t conjx;
obj_t kappa;
obj_t alpha, a, x, beta, y;
obj_t y_save;
// Use the datatype of the first char in the datatype combination string.
bli_param_map_char_to_blis_dt( dc_str[0], &datatype );
// 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( 1.0, 2.0, &alpha );
bli_setsc( 1.0, -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.
libblis_test_vobj_randomize( params, TRUE, &x );
libblis_test_vobj_randomize( params, TRUE, &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( params, &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 );
}
