OpenBLAS/utest/test_extensions/test_zaxpyc.c

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#include "utest/openblas_utest.h"
#include "common.h"

#define DATASIZE 100
#define INCREMENT 2

struct DATA_ZAXPYC {
	double x_test[DATASIZE * INCREMENT * 2];
	double x_verify[DATASIZE * INCREMENT * 2];
	double y_test[DATASIZE * INCREMENT * 2];
	double y_verify[DATASIZE * INCREMENT * 2];
};
#ifdef BUILD_COMPLEX16
static struct DATA_ZAXPYC data_zaxpyc;

/**
 * Test zaxpyc by conjugating vector x and comparing with zaxpy.
 * Compare with the following options:
 *
 * param n - number of elements in vectors x and y
 * param alpha - scalar alpha
 * param incx - increment for the elements of x
 * param incy - increment for the elements of y
 * return norm of difference
 */
static double check_zaxpyc(blasint n, double *alpha, blasint incx, blasint incy)
{
	blasint i;

	drand_generate(data_zaxpyc.x_test, n * incx * 2);
	drand_generate(data_zaxpyc.y_test, n * incy * 2);

	for (i = 0; i < n * incx * 2; i++)
		data_zaxpyc.x_verify[i] = data_zaxpyc.x_test[i];

	for (i = 0; i < n * incy * 2; i++)
		data_zaxpyc.y_verify[i] = data_zaxpyc.y_test[i];

	zconjugate_vector(n, incx, data_zaxpyc.x_verify);

	BLASFUNC(zaxpy)
	(&n, alpha, data_zaxpyc.x_verify, &incx,
	 data_zaxpyc.y_verify, &incy);

	BLASFUNC(zaxpyc)
	(&n, alpha, data_zaxpyc.x_test, &incx,
	 data_zaxpyc.y_test, &incy);

	for (i = 0; i < n * incy * 2; i++)
		data_zaxpyc.y_verify[i] -= data_zaxpyc.y_test[i];

	return BLASFUNC(dznrm2)(&n, data_zaxpyc.y_verify, &incy);
}

/**
 * Test zaxpyc by conjugating vector x and comparing with zaxpy.
 * Test with the following options:
 *
 * Size of vectors x, y is 100
 * Stride of vector x is 1
 * Stride of vector y is 1
 */
CTEST(zaxpyc, conj_strides_one)
{
	blasint n = DATASIZE, incx = 1, incy = 1;
	double alpha[] = {5.0, 2.2};

	double norm = check_zaxpyc(n, alpha, incx, incy);

	ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
}

/**
 * Test zaxpyc by conjugating vector x and comparing with zaxpy.
 * Test with the following options:
 *
 * Size of vectors x, y is 100
 * Stride of vector x is 1
 * Stride of vector y is 2
 */
CTEST(zaxpyc, conj_incx_one)
{
	blasint n = DATASIZE, incx = 1, incy = 2;
	double alpha[] = {5.0, 2.2};

	double norm = check_zaxpyc(n, alpha, incx, incy);

	ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
}

/**
 * Test zaxpyc by conjugating vector x and comparing with zaxpy.
 * Test with the following options:
 *
 * Size of vectors x, y is 100
 * Stride of vector x is 2
 * Stride of vector y is 1
 */
CTEST(zaxpyc, conj_incy_one)
{
	blasint n = DATASIZE, incx = 2, incy = 1;
	double alpha[] = {5.0, 2.2};

	double norm = check_zaxpyc(n, alpha, incx, incy);

	ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
}

/**
 * Test zaxpyc by conjugating vector x and comparing with zaxpy.
 * Test with the following options:
 *
 * Size of vectors x, y is 100
 * Stride of vector x is 2
 * Stride of vector y is 2
 */
CTEST(zaxpyc, conj_strides_two)
{
	blasint n = DATASIZE, incx = 2, incy = 2;
	double alpha[] = {5.0, 2.2};

	double norm = check_zaxpyc(n, alpha, incx, incy);

	ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
}
#endif