//
// Define object-based interface.
//
void bli_herk3m( obj_t* alpha,
obj_t* a,
obj_t* beta,
obj_t* c )
{
// Since 3m only applies to the complex domain, we use the regular
// implementation for real domain cases.
if ( bli_obj_is_complex( *c ) )
bli_herk3m_entry( alpha, a, beta, c );
else
bli_herk_entry( alpha, a, beta, c );
}
//
// Define object-based interface.
//
void bli_trmm4m( side_t side,
obj_t* alpha,
obj_t* a,
obj_t* b )
{
// Since 4m only applies to the complex domain, we use the regular
// control tree for real domain cases.
if ( bli_obj_is_complex( *b ) )
bli_trmm4m_entry( side, alpha, a, b );
else
bli_trmm_entry( side, alpha, a, b );
}
double libblis_test_gemm_flops
(
obj_t* a,
obj_t* b,
obj_t* c
)
{
bool_t a_is_real = bli_obj_is_real( a );
bool_t a_is_complex = bli_obj_is_complex( a );
bool_t b_is_real = bli_obj_is_real( b );
bool_t b_is_complex = bli_obj_is_complex( b );
bool_t c_is_real = bli_obj_is_real( c );
bool_t c_is_complex = bli_obj_is_complex( c );
double m = ( double )bli_obj_length( c );
double n = ( double )bli_obj_width( c );
double k = ( double )bli_obj_width( a );
double flops;
if ( ( c_is_complex && a_is_complex && b_is_complex ) )
{
flops = 8.0 * m * n * k;
}
else if ( ( c_is_complex && a_is_complex && b_is_real ) ||
( c_is_complex && a_is_real && b_is_complex ) ||
( c_is_real && a_is_complex && b_is_complex ) )
{
flops = 4.0 * m * n * k;
}
else
{
flops = 2.0 * m * n * k;
}
return flops;
}
void bli_obj_print( char* label, obj_t* obj )
{
FILE* file = stdout;
if ( bli_error_checking_is_enabled() )
bli_obj_print_check( label, obj );
fprintf( file, "\n" );
fprintf( file, "%s\n", label );
fprintf( file, "\n" );
fprintf( file, " m x n %lu x %lu\n", ( unsigned long int )bli_obj_length( *obj ),
( unsigned long int )bli_obj_width( *obj ) );
fprintf( file, "\n" );
fprintf( file, " offm, offn %lu, %lu\n", ( unsigned long int )bli_obj_row_off( *obj ),
( unsigned long int )bli_obj_col_off( *obj ) );
fprintf( file, " diagoff %ld\n", ( signed long int )bli_obj_diag_offset( *obj ) );
fprintf( file, "\n" );
fprintf( file, " buf %p\n", ( void* )bli_obj_buffer( *obj ) );
fprintf( file, " elem size %lu\n", ( unsigned long int )bli_obj_elem_size( *obj ) );
fprintf( file, " rs, cs %ld, %ld\n", ( signed long int )bli_obj_row_stride( *obj ),
( signed long int )bli_obj_col_stride( *obj ) );
fprintf( file, " is %ld\n", ( signed long int )bli_obj_imag_stride( *obj ) );
fprintf( file, " m_padded %lu\n", ( unsigned long int )bli_obj_padded_length( *obj ) );
fprintf( file, " n_padded %lu\n", ( unsigned long int )bli_obj_padded_width( *obj ) );
fprintf( file, " ps %lu\n", ( unsigned long int )bli_obj_panel_stride( *obj ) );
fprintf( file, "\n" );
fprintf( file, " info %lX\n", ( unsigned long int )(*obj).info );
fprintf( file, " - is complex %lu\n", ( unsigned long int )bli_obj_is_complex( *obj ) );
fprintf( file, " - is d. prec %lu\n", ( unsigned long int )bli_obj_is_double_precision( *obj ) );
fprintf( file, " - datatype %lu\n", ( unsigned long int )bli_obj_datatype( *obj ) );
fprintf( file, " - target dt %lu\n", ( unsigned long int )bli_obj_target_datatype( *obj ) );
fprintf( file, " - exec dt %lu\n", ( unsigned long int )bli_obj_execution_datatype( *obj ) );
fprintf( file, " - has trans %lu\n", ( unsigned long int )bli_obj_has_trans( *obj ) );
fprintf( file, " - has conj %lu\n", ( unsigned long int )bli_obj_has_conj( *obj ) );
fprintf( file, " - unit diag? %lu\n", ( unsigned long int )bli_obj_has_unit_diag( *obj ) );
fprintf( file, " - struc type %lu\n", ( unsigned long int )bli_obj_struc( *obj ) >> BLIS_STRUC_SHIFT );
fprintf( file, " - uplo type %lu\n", ( unsigned long int )bli_obj_uplo( *obj ) >> BLIS_UPLO_SHIFT );
fprintf( file, " - is upper %lu\n", ( unsigned long int )bli_obj_is_upper( *obj ) );
fprintf( file, " - is lower %lu\n", ( unsigned long int )bli_obj_is_lower( *obj ) );
fprintf( file, " - is dense %lu\n", ( unsigned long int )bli_obj_is_dense( *obj ) );
fprintf( file, " - pack schema %lu\n", ( unsigned long int )bli_obj_pack_schema( *obj ) >> BLIS_PACK_SCHEMA_SHIFT );
fprintf( file, " - packinv diag? %lu\n", ( unsigned long int )bli_obj_has_inverted_diag( *obj ) );
fprintf( file, " - pack ordifup %lu\n", ( unsigned long int )bli_obj_is_pack_rev_if_upper( *obj ) );
fprintf( file, " - pack ordiflo %lu\n", ( unsigned long int )bli_obj_is_pack_rev_if_lower( *obj ) );
fprintf( file, " - packbuf type %lu\n", ( unsigned long int )bli_obj_pack_buffer_type( *obj ) >> BLIS_PACK_BUFFER_SHIFT );
fprintf( file, "\n" );
}
//
// Define object-based interface.
//
void bli_hemm3mh( side_t side,
obj_t* alpha,
obj_t* a,
obj_t* b,
obj_t* beta,
obj_t* c )
{
// Since 3mh only applies to the complex domain, we use the regular
// implementation for real domain cases.
if ( bli_obj_is_complex( *c ) )
bli_hemm3mh_entry( side, alpha, a, b, beta, c );
else
bli_hemm_entry( side, alpha, a, b, beta, c );
}
//
// Define object-based interface.
//
void bli_trmm34mh( side_t side,
obj_t* alpha,
obj_t* a,
obj_t* b,
obj_t* beta,
obj_t* c )
{
// Since 4mh only applies to the complex domain, we use the regular
// control tree for real domain cases.
if ( bli_obj_is_complex( *c ) )
bli_trmm34mh_entry( side, alpha, a, b, beta, c );
else
bli_trmm3_entry( side, alpha, a, b, beta, c );
}
//
// Define object-based interface.
//
void bli_syr2k4m( obj_t* alpha,
obj_t* a,
obj_t* b,
obj_t* beta,
obj_t* c )
{
herk_t* cntl;
// Since 4m only applies to the complex domain, we use the regular
// control tree for real domain cases.
if ( bli_obj_is_complex( *c ) ) cntl = herk4m_cntl;
else cntl = herk_cntl;
bli_syr2k_front( alpha, a, b, beta, c,
cntl );
}
//
// Define object-based interface.
//
void bli_trsm4m( side_t side,
obj_t* alpha,
obj_t* a,
obj_t* b )
{
trsm_t* l_cntl;
trsm_t* r_cntl;
// Since 4m only applies to the complex domain, we use the regular
// control tree for real domain cases.
if ( bli_obj_is_complex( *b ) ) { l_cntl = trsm4m_l_cntl; r_cntl = trsm4m_r_cntl; }
else { l_cntl = trsm_l_cntl; r_cntl = trsm_r_cntl; }
bli_trsm_front( side, alpha, a, b,
l_cntl,
r_cntl );
}
//
// Define object-based interface.
//
void bli_trmm33m( side_t side,
obj_t* alpha,
obj_t* a,
obj_t* b,
obj_t* beta,
obj_t* c )
{
trmm_t* l_cntl;
trmm_t* r_cntl;
// Since 3m only applies to the complex domain, we use the regular
// control tree for real domain cases.
if ( bli_obj_is_complex( *c ) ) { l_cntl = trmm3m_l_cntl; r_cntl = trmm3m_r_cntl; }
else { l_cntl = trmm_l_cntl; r_cntl = trmm_r_cntl; }
bli_trmm3_front( side, alpha, a, b, beta, c,
l_cntl,
r_cntl );
}
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_fnormv_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;
num_t dt_real = bli_datatype_proj_to_real( datatype );
double time_min = 1e9;
double time;
dim_t m;
obj_t beta, norm;
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 );
bli_obj_scalar_init_detached( dt_real, &norm );
// Create test operands (vectors and/or matrices).
libblis_test_vobj_create( params, datatype, sc_str[0], m, &x );
// Initialize beta to 2 - 2i.
bli_setsc( 2.0, -2.0, &beta );
// Set all elements of x to beta.
bli_setv( &beta, &x );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
time = bli_clock();
libblis_test_fnormv_impl( impl, &x, &norm );
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_fnormv_check( &beta, &x, &norm, resid );
// Zero out performance and residual if input vector is empty.
libblis_test_check_empty_problem( &x, perf, resid );
// Free the test objects.
bli_obj_free( &x );
}
void libblis_test_addv_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 )
{
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( impl, &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_scalv_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;
conj_t conjbeta;
obj_t 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 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], &conjbeta );
// 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, &y );
libblis_test_vobj_create( params, datatype, sc_str[0], m, &y_save );
// Set 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.
libblis_test_vobj_randomize( params, FALSE, &y );
bli_copyv( &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_copyv( &y_save, &y );
time = bli_clock();
libblis_test_scalv_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 ) / time_min / FLOPS_PER_UNIT_PERF;
if ( bli_obj_is_complex( &y ) ) *perf *= 6.0;
// Perform checks.
libblis_test_scalv_check( params, &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( &y );
bli_obj_free( &y_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_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_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_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_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_amaxv_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;
obj_t x;
obj_t index;
// 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( BLIS_INT, &index );
// Create test operands (vectors and/or matrices).
libblis_test_vobj_create( params, datatype, sc_str[0], m, &x );
// Randomize x.
libblis_test_vobj_randomize( params, FALSE, &x );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
time = bli_clock();
libblis_test_amaxv_impl( iface, &x, &index );
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_amaxv_check( params, &x, &index, resid );
// Zero out performance and residual if input vector 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_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_axpyv_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;
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_axpyv_impl( impl, &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_axpyv_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 bli_gemm_front( obj_t* alpha,
obj_t* a,
obj_t* b,
obj_t* beta,
obj_t* c,
gemm_t* cntl )
{
obj_t a_local;
obj_t b_local;
obj_t c_local;
// Check parameters.
if ( bli_error_checking_is_enabled() )
bli_gemm_check( alpha, a, b, beta, c );
// If alpha is zero, scale by beta and return.
if ( bli_obj_equals( alpha, &BLIS_ZERO ) )
{
bli_scalm( beta, c );
return;
}
// Alias A, B, and C in case we need to apply transformations.
bli_obj_alias_to( *a, a_local );
bli_obj_alias_to( *b, b_local );
bli_obj_alias_to( *c, c_local );
// An optimization: If C is stored by rows and the micro-kernel prefers
// contiguous columns, or if C is stored by columns and the micro-kernel
// prefers contiguous rows, transpose the entire operation to allow the
// micro-kernel to access elements of C in its preferred manner.
if (
( bli_obj_is_row_stored( c_local ) &&
bli_func_prefers_contig_cols( bli_obj_datatype( c_local ),
bli_gemm_cntl_ukrs( cntl ) ) ) ||
( bli_obj_is_col_stored( c_local ) &&
bli_func_prefers_contig_rows( bli_obj_datatype( c_local ),
bli_gemm_cntl_ukrs( cntl ) ) )
)
{
bli_obj_swap( a_local, b_local );
bli_obj_induce_trans( a_local );
bli_obj_induce_trans( b_local );
bli_obj_induce_trans( c_local );
}
gemm_thrinfo_t** infos = bli_create_gemm_thrinfo_paths();
dim_t n_threads = thread_num_threads( infos[0] );
// Invoke the internal back-end.
bli_level3_thread_decorator( n_threads,
(level3_int_t) bli_gemm_int,
alpha,
&a_local,
&b_local,
beta,
&c_local,
(void*) cntl,
(void**) infos );
bli_gemm_thrinfo_free_paths( infos, n_threads );
#ifdef BLIS_ENABLE_FLOP_COUNT
// Increment the global flop counter.
bli_flop_count_inc( 2.0 * bli_obj_length( *c )
* bli_obj_width( *c )
* bli_obj_width_after_trans( a_local )
* ( bli_obj_is_complex( *c ) ? 4.0 : 1.0 ) );
#endif
}
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_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 bli_trmm_front( side_t side,
obj_t* alpha,
obj_t* a,
obj_t* b,
gemm_t* cntl )
{
obj_t a_local;
obj_t b_local;
obj_t c_local;
// Check parameters.
if ( bli_error_checking_is_enabled() )
bli_trmm_check( side, alpha, a, b );
// If alpha is zero, scale by beta and return.
if ( bli_obj_equals( alpha, &BLIS_ZERO ) )
{
bli_scalm( alpha, b );
return;
}
// Alias A and B so we can tweak the objects if necessary.
bli_obj_alias_to( *a, a_local );
bli_obj_alias_to( *b, b_local );
bli_obj_alias_to( *b, c_local );
// We do not explicitly implement the cases where A is transposed.
// However, we can still handle them. Specifically, if A is marked as
// needing a transposition, we simply induce a transposition. This
// allows us to only explicitly implement the no-transpose cases. Once
// the transposition is induced, the correct algorithm will be called,
// since, for example, an algorithm over a transposed lower triangular
// matrix A moves in the same direction (forwards) as a non-transposed
// upper triangular matrix. And with the transposition induced, the
// matrix now appears to be upper triangular, so the upper triangular
// algorithm will grab the correct partitions, as if it were upper
// triangular (with no transpose) all along.
if ( bli_obj_has_trans( a_local ) )
{
bli_obj_induce_trans( a_local );
bli_obj_set_onlytrans( BLIS_NO_TRANSPOSE, a_local );
}
#if 0
// If A is being multiplied from the right, transpose all operands
// so that we can perform the computation as if A were being multiplied
// from the left.
if ( bli_is_right( side ) )
{
bli_toggle_side( side );
bli_obj_induce_trans( a_local );
bli_obj_induce_trans( b_local );
bli_obj_induce_trans( c_local );
}
#else
// An optimization: If C is stored by rows and the micro-kernel prefers
// contiguous columns, or if C is stored by columns and the micro-kernel
// prefers contiguous rows, transpose the entire operation to allow the
// micro-kernel to access elements of C in its preferred manner.
if (
( bli_obj_is_row_stored( c_local ) &&
bli_func_prefers_contig_cols( bli_obj_datatype( c_local ),
bli_gemm_cntl_ukrs( cntl ) ) ) ||
( bli_obj_is_col_stored( c_local ) &&
bli_func_prefers_contig_rows( bli_obj_datatype( c_local ),
bli_gemm_cntl_ukrs( cntl ) ) )
)
{
bli_toggle_side( side );
bli_obj_induce_trans( a_local );
bli_obj_induce_trans( b_local );
bli_obj_induce_trans( c_local );
}
// If A is being multiplied from the right, swap A and B so that
// the matrix will actually be on the right.
if ( bli_is_right( side ) )
{
bli_obj_swap( a_local, b_local );
}
#endif
// Set each alias as the root object.
// NOTE: We MUST wait until we are done potentially swapping the objects
// before setting the root fields!
bli_obj_set_as_root( a_local );
bli_obj_set_as_root( b_local );
bli_obj_set_as_root( c_local );
trmm_thrinfo_t** infos = bli_create_trmm_thrinfo_paths( bli_is_right( side ) );
dim_t n_threads = thread_num_threads( infos[0] );
// Invoke the internal back-end.
bli_level3_thread_decorator( n_threads,
(level3_int_t) bli_trmm_int,
alpha,
&a_local,
&b_local,
&BLIS_ZERO,
&c_local,
(void*) cntl,
(void**) infos );
bli_trmm_thrinfo_free_paths( infos, n_threads );
#ifdef BLIS_ENABLE_FLOP_COUNT
// Increment the global flop counter.
bli_flop_count_inc( 1.0 * bli_obj_length( *c )
* bli_obj_width( *c )
* bli_obj_width_after_trans( a_local )
* ( bli_obj_is_complex( *c ) ? 4.0 : 1.0 ) );
#endif
}
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_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 = DBL_MAX;
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_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_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 );
}
