OpenBLAS/utest/test_extensions/test_caxpyc.c

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

#define DATASIZE 100
#define INCREMENT 2

struct DATA_CAXPYC {
    float x_test[DATASIZE * INCREMENT * 2];
    float x_verify[DATASIZE * INCREMENT * 2];
    float y_test[DATASIZE * INCREMENT * 2];
    float y_verify[DATASIZE * INCREMENT * 2];
};

#ifdef BUILD_COMPLEX
static struct DATA_CAXPYC data_caxpyc;

/**
 * Test caxpyc by conjugating vector x and comparing with caxpy.
 * 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 float check_caxpyc(blasint n, float *alpha, blasint incx, blasint incy)
{
    blasint i;

    srand_generate(data_caxpyc.x_test, n * incx * 2);
    srand_generate(data_caxpyc.y_test, n * incy * 2);

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

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

    cconjugate_vector(n, incx, data_caxpyc.x_verify);

    BLASFUNC(caxpy)(&n, alpha, data_caxpyc.x_verify, &incx,
                    data_caxpyc.y_verify, &incy);

    BLASFUNC(caxpyc)(&n, alpha, data_caxpyc.x_test, &incx,
                     data_caxpyc.y_test, &incy);

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

    return BLASFUNC(scnrm2)(&n, data_caxpyc.y_verify, &incy);
}

/**
 * Test caxpyc by conjugating vector x and comparing with caxpy.
 * 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(caxpyc, conj_strides_one)
{
    blasint n = DATASIZE, incx = 1, incy = 1;
    float alpha[] = {5.0f, 2.2f};

    float norm = check_caxpyc(n, alpha, incx, incy);

    ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS);
}

/**
 * Test caxpyc by conjugating vector x and comparing with caxpy.
 * 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(caxpyc, conj_incx_one)
{
    blasint n = DATASIZE, incx = 1, incy = 2;
    float alpha[] = {5.0f, 2.2f};

    float norm = check_caxpyc(n, alpha, incx, incy);

    ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS);
}

/**
 * Test caxpyc by conjugating vector x and comparing with caxpy.
 * 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(caxpyc, conj_incy_one)
{
    blasint n = DATASIZE, incx = 2, incy = 1;
    float alpha[] = {5.0f, 2.2f};

    float norm = check_caxpyc(n, alpha, incx, incy);

    ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS);
}

/**
 * Test caxpyc by conjugating vector x and comparing with caxpy.
 * 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(caxpyc, conj_strides_two)
{
    blasint n = DATASIZE, incx = 2, incy = 2;
    float alpha[] = {5.0f, 2.2f};

    float norm = check_caxpyc(n, alpha, incx, incy);

    ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS);
}
#endif