OpenBLAS/utest/test_extensions/common.c

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#include "common.h"

/**
 * Generate random array
 */
void srand_generate(float *alpha, blasint n)
{
    blasint i;
    for (i = 0; i < n; i++)
        alpha[i] = (float)rand() / (float)RAND_MAX;
}

void drand_generate(double *alpha, blasint n)
{
    blasint i;
    for (i = 0; i < n; i++)
        alpha[i] = (double)rand() / (double)RAND_MAX;
}

/**
 * Find difference between two rectangle matrix
 * return norm of differences
 */
float smatrix_difference(float *a, float *b, blasint cols, blasint rows, blasint ld)
{
    blasint i = 0;
    blasint j = 0;
    blasint inc = 1;
    float norm = 0.0f;

    float *a_ptr = a;
    float *b_ptr = b;

    for(i = 0; i < rows; i++)
    {
        for (j = 0; j < cols; j++) {
            a_ptr[j] -= b_ptr[j];
        }
        norm += BLASFUNC(snrm2)(&cols, a_ptr, &inc);
        
        a_ptr += ld;
        b_ptr += ld;
    }
    return norm/(float)(rows);
}

double dmatrix_difference(double *a, double *b, blasint cols, blasint rows, blasint ld)
{
    blasint i = 0;
    blasint j = 0;
    blasint inc = 1;
    double norm = 0.0;

    double *a_ptr = a;
    double *b_ptr = b;

    for(i = 0; i < rows; i++)
    {
        for (j = 0; j < cols; j++) {
            a_ptr[j] -= b_ptr[j];
        }
        norm += BLASFUNC(dnrm2)(&cols, a_ptr, &inc);
        
        a_ptr += ld;
        b_ptr += ld;
    }
    return norm/(double)(rows);
}

/**
 * Complex conjugate operation for vector
 * 
 * param n specifies number of elements in vector x
 * param inc_x specifies increment of vector x
 * param x_ptr specifies buffer holding vector x
 */
void cconjugate_vector(blasint n, blasint inc_x, float *x_ptr)
{
    blasint i;
    inc_x *= 2;

    for (i = 0; i < n; i++)
    {
        x_ptr[1] *= (-1.0f);
        x_ptr +=  inc_x;
    }
}

void zconjugate_vector(blasint n, blasint inc_x, double *x_ptr)
{
    blasint i;
    inc_x *= 2;

    for (i = 0; i < n; i++)
    {
        x_ptr[1] *= (-1.0);
        x_ptr +=  inc_x;
    }
}

/**
 * Transpose matrix
 * 
 * param rows specifies number of rows of A
 * param cols specifies number of columns of A
 * param alpha specifies scaling factor for matrix A
 * param a_src - buffer holding input matrix A
 * param lda_src - leading dimension of the matrix A
 * param a_dst - buffer holding output matrix A
 * param lda_dst - leading dimension of output matrix A
 */
void stranspose(blasint rows, blasint cols, float alpha, float *a_src, int lda_src, 
                float *a_dst, blasint lda_dst)
{
    blasint i, j;
    for (i = 0; i != cols; i++)
    {
        for (j = 0; j != rows; j++)
            a_dst[i*lda_dst+j] = alpha*a_src[j*lda_src+i];
    }
}

void dtranspose(blasint rows, blasint cols, double alpha, double *a_src, int lda_src, 
                double *a_dst, blasint lda_dst)
{
    blasint i, j;
    for (i = 0; i != cols; i++)
    {
        for (j = 0; j != rows; j++)
            a_dst[i*lda_dst+j] = alpha*a_src[j*lda_src+i];
    }
}

void ctranspose(blasint rows, blasint cols, float *alpha, float *a_src, int lda_src, 
                float *a_dst, blasint lda_dst, int conj)
{
    blasint i, j;
    lda_dst *= 2;
    lda_src *= 2;
    for (i = 0; i != cols*2; i+=2)
    {
        for (j = 0; j != rows*2; j+=2){
            a_dst[(i/2)*lda_dst+j] = alpha[0] * a_src[(j/2)*lda_src+i] + conj * alpha[1] * a_src[(j/2)*lda_src+i+1];
            a_dst[(i/2)*lda_dst+j+1] = (-1.0f) * conj * alpha[0] * a_src[(j/2)*lda_src+i+1] + alpha[1] * a_src[(j/2)*lda_src+i];
        } 
    }
}

void ztranspose(blasint rows, blasint cols, double *alpha, double *a_src, int lda_src, 
                double *a_dst, blasint lda_dst, int conj)
{
    blasint i, j;
    lda_dst *= 2;
    lda_src *= 2;
    for (i = 0; i != cols*2; i+=2)
    {
        for (j = 0; j != rows*2; j+=2){
            a_dst[(i/2)*lda_dst+j] = alpha[0] * a_src[(j/2)*lda_src+i] + conj * alpha[1] * a_src[(j/2)*lda_src+i+1];
            a_dst[(i/2)*lda_dst+j+1] = (-1.0) * conj * alpha[0] * a_src[(j/2)*lda_src+i+1] + alpha[1] * a_src[(j/2)*lda_src+i];
        } 
    }
}

/**
 * Copy matrix from source A to destination A
 * 
 * param rows specifies number of rows of A
 * param cols specifies number of columns of A
 * param alpha specifies scaling factor for matrix A
 * param a_src - buffer holding input matrix A
 * param lda_src - leading dimension of the matrix A
 * param a_dst - buffer holding output matrix A
 * param lda_dst - leading dimension of output matrix A
 * param conj specifies conjugation
 */
void my_scopy(blasint rows, blasint cols, float alpha, float *a_src, int lda_src, 
           float *a_dst, blasint lda_dst)
{
    blasint i, j;
    for (i = 0; i != rows; i++)
    {
        for (j = 0; j != cols; j++)
            a_dst[i*lda_dst+j] = alpha*a_src[i*lda_src+j];
    }
}

void my_dcopy(blasint rows, blasint cols, double alpha, double *a_src, int lda_src, 
           double *a_dst, blasint lda_dst)
{
    blasint i, j;
    for (i = 0; i != rows; i++)
    {
        for (j = 0; j != cols; j++)
            a_dst[i*lda_dst+j] = alpha*a_src[i*lda_src+j];
    }
}

void my_ccopy(blasint rows, blasint cols, float *alpha, float *a_src, int lda_src, 
           float *a_dst, blasint lda_dst, int conj)
{
    blasint i, j;
    lda_dst *= 2;
    lda_src *= 2;
    for (i = 0; i != rows; i++)
    {
        for (j = 0; j != cols*2; j+=2){
            a_dst[i*lda_dst+j] = alpha[0] * a_src[i*lda_src+j] + conj * alpha[1] * a_src[i*lda_src+j+1];
            a_dst[i*lda_dst+j+1] = (-1.0f) * conj *alpha[0] * a_src[i*lda_src+j+1] + alpha[1] * a_src[i*lda_src+j];
        }
    }
}

void my_zcopy(blasint rows, blasint cols, double *alpha, double *a_src, int lda_src, 
           double *a_dst, blasint lda_dst, int conj)
{
    blasint i, j;
    lda_dst *= 2;
    lda_src *= 2;
    for (i = 0; i != rows; i++)
    {
        for (j = 0; j != cols*2; j+=2){
            a_dst[i*lda_dst+j] = alpha[0] * a_src[i*lda_src+j] + conj * alpha[1] * a_src[i*lda_src+j+1];
            a_dst[i*lda_dst+j+1] = (-1.0) * conj *alpha[0] * a_src[i*lda_src+j+1] + alpha[1] * a_src[i*lda_src+j];
        }
    }
}