631 lines
17 KiB
C
631 lines
17 KiB
C
/*****************************************************************************
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Copyright (c) 2023, The OpenBLAS Project
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are
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met:
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1. Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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2. Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in
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the documentation and/or other materials provided with the
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distribution.
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3. Neither the name of the OpenBLAS project nor the names of
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its contributors may be used to endorse or promote products
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derived from this software without specific prior written
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permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE
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USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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**********************************************************************************/
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#include "utest/openblas_utest.h"
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#include "common.h"
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#define DATASIZE 100
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#define INCREMENT 2
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struct DATA_ZAXPBY {
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double x_test[DATASIZE * INCREMENT * 2];
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double x_verify[DATASIZE * INCREMENT * 2];
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double y_test[DATASIZE * INCREMENT * 2];
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double y_verify[DATASIZE * INCREMENT * 2];
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};
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#ifdef BUILD_COMPLEX16
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static struct DATA_ZAXPBY data_zaxpby;
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/**
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* Fortran API specific function
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* Test zaxpby by comparing it with zscal and zaxpy.
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* Compare with the following options:
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*
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* param n - number of elements in vectors x and y
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* param alpha - scalar alpha
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* param incx - increment for the elements of x
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* param beta - scalar beta
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* param incy - increment for the elements of y
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* return norm of difference
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*/
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static double check_zaxpby(blasint n, double *alpha, blasint incx, double *beta, blasint incy)
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{
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blasint i;
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// zscal accept only positive increments
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blasint incx_abs = labs(incx);
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blasint incy_abs = labs(incy);
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// Fill vectors x, y
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drand_generate(data_zaxpby.x_test, n * incx_abs * 2);
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drand_generate(data_zaxpby.y_test, n * incy_abs * 2);
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// Copy vector x for zaxpy
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for (i = 0; i < n * incx_abs * 2; i++)
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data_zaxpby.x_verify[i] = data_zaxpby.x_test[i];
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// Copy vector y for zscal
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for (i = 0; i < n * incy_abs * 2; i++)
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data_zaxpby.y_verify[i] = data_zaxpby.y_test[i];
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// Find beta*y
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BLASFUNC(zscal)(&n, beta, data_zaxpby.y_verify, &incy_abs);
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// Find sum of alpha*x and beta*y
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BLASFUNC(zaxpy)(&n, alpha, data_zaxpby.x_verify, &incx,
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data_zaxpby.y_verify, &incy);
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BLASFUNC(zaxpby)(&n, alpha, data_zaxpby.x_test, &incx,
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beta, data_zaxpby.y_test, &incy);
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// Find the differences between output vector caculated by zaxpby and zaxpy
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for (i = 0; i < n * incy_abs * 2; i++)
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data_zaxpby.y_test[i] -= data_zaxpby.y_verify[i];
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// Find the norm of differences
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return BLASFUNC(dznrm2)(&n, data_zaxpby.y_test, &incy_abs);
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}
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/**
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* C API specific function
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* Test zaxpby by comparing it with zscal and zaxpy.
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* Compare with the following options:
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*
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* param n - number of elements in vectors x and y
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* param alpha - scalar alpha
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* param incx - increment for the elements of x
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* param beta - scalar beta
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* param incy - increment for the elements of y
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* return norm of difference
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*/
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static double c_api_check_zaxpby(blasint n, double *alpha, blasint incx, double *beta, blasint incy)
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{
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blasint i;
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// zscal accept only positive increments
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blasint incx_abs = labs(incx);
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blasint incy_abs = labs(incy);
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// Fill vectors x, y
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drand_generate(data_zaxpby.x_test, n * incx_abs * 2);
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drand_generate(data_zaxpby.y_test, n * incy_abs * 2);
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// Copy vector x for zaxpy
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for (i = 0; i < n * incx_abs * 2; i++)
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data_zaxpby.x_verify[i] = data_zaxpby.x_test[i];
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// Copy vector y for zscal
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for (i = 0; i < n * incy_abs * 2; i++)
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data_zaxpby.y_verify[i] = data_zaxpby.y_test[i];
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// Find beta*y
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cblas_zscal(n, beta, data_zaxpby.y_verify, incy_abs);
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// Find sum of alpha*x and beta*y
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cblas_zaxpy(n, alpha, data_zaxpby.x_verify, incx,
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data_zaxpby.y_verify, incy);
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cblas_zaxpby(n, alpha, data_zaxpby.x_test, incx,
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beta, data_zaxpby.y_test, incy);
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// Find the differences between output vector caculated by zaxpby and zaxpy
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for (i = 0; i < n * incy_abs * 2; i++)
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data_zaxpby.y_test[i] -= data_zaxpby.y_verify[i];
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// Find the norm of differences
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return cblas_dznrm2(n, data_zaxpby.y_test, incy_abs);
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}
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/**
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* Fortran API specific test
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* Test zaxpby by comparing it with zscal and zaxpy.
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* Test with the following options:
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*
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* Size of vectors x, y is 100
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* Stride of vector x is 1
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* Stride of vector y is 1
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*/
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CTEST(zaxpby, inc_x_1_inc_y_1_N_100)
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{
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blasint n = DATASIZE, incx = 1, incy = 1;
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double alpha[] = {1.0, 1.0};
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double beta[] = {1.0, 1.0};
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double norm = check_zaxpby(n, alpha, incx, beta, incy);
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ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
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}
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/**
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* Fortran API specific test
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* Test zaxpby by comparing it with zscal and zaxpy.
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* Test with the following options:
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*
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* Size of vectors x, y is 100
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* Stride of vector x is 2
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* Stride of vector y is 1
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*/
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CTEST(zaxpby, inc_x_2_inc_y_1_N_100)
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{
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blasint n = DATASIZE, incx = 2, incy = 1;
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double alpha[] = {2.0, 1.0};
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double beta[] = {1.0, 1.0};
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double norm = check_zaxpby(n, alpha, incx, beta, incy);
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ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
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}
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/**
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* Fortran API specific test
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* Test zaxpby by comparing it with zscal and zaxpy.
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* Test with the following options:
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*
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* Size of vectors x, y is 100
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* Stride of vector x is 1
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* Stride of vector y is 2
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*/
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CTEST(zaxpby, inc_x_1_inc_y_2_N_100)
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{
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blasint n = DATASIZE, incx = 1, incy = 2;
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double alpha[] = {1.0, 1.0};
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double beta[] = {2.0, 1.0};
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double norm = check_zaxpby(n, alpha, incx, beta, incy);
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ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
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}
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/**
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* Fortran API specific test
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* Test zaxpby by comparing it with zscal and zaxpy.
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* Test with the following options:
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*
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* Size of vectors x, y is 100
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* Stride of vector x is 2
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* Stride of vector y is 2
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*/
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CTEST(zaxpby, inc_x_2_inc_y_2_N_100)
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{
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blasint n = DATASIZE, incx = 2, incy = 2;
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double alpha[] = {3.0, 1.0};
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double beta[] = {4.0, 3.0};
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double norm = check_zaxpby(n, alpha, incx, beta, incy);
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ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
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}
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/**
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* Fortran API specific test
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* Test zaxpby by comparing it with zscal and zaxpy.
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* Test with the following options:
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*
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* Size of vectors x, y is 100
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* Stride of vector x is -1
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* Stride of vector y is 2
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*/
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CTEST(zaxpby, inc_x_neg_1_inc_y_2_N_100)
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{
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blasint n = DATASIZE, incx = -1, incy = 2;
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double alpha[] = {5.0, 2.2};
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double beta[] = {4.0, 5.0};
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double norm = check_zaxpby(n, alpha, incx, beta, incy);
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ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
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}
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/**
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* Fortran API specific test
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* Test zaxpby by comparing it with zscal and zaxpy.
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* Test with the following options:
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*
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* Size of vectors x, y is 100
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* Stride of vector x is 2
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* Stride of vector y is -1
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*/
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CTEST(zaxpby, inc_x_2_inc_y_neg_1_N_100)
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{
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blasint n = DATASIZE, incx = 2, incy = -1;
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double alpha[] = {1.0, 1.0};
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double beta[] = {6.0, 3.0};
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double norm = check_zaxpby(n, alpha, incx, beta, incy);
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ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
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}
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/**
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* Fortran API specific test
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* Test zaxpby by comparing it with zscal and zaxpy.
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* Test with the following options:
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*
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* Size of vectors x, y is 100
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* Stride of vector x is -2
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* Stride of vector y is -1
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*/
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CTEST(zaxpby, inc_x_neg_2_inc_y_neg_1_N_100)
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{
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blasint n = DATASIZE, incx = -2, incy = -1;
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double alpha[] = {7.0, 2.0};
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double beta[] = {3.5, 1.3};
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double norm = check_zaxpby(n, alpha, incx, beta, incy);
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ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
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}
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/**
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* Fortran API specific test
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* Test zaxpby by comparing it with zscal and zaxpy.
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* Test with the following options:
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*
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* Size of vectors x, y is 100
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* Stride of vector x is 1
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* Stride of vector y is 1
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* Scalar alpha is zero
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*/
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CTEST(zaxpby, inc_x_1_inc_y_1_N_100_alpha_zero)
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{
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blasint n = DATASIZE, incx = 1, incy = 1;
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double alpha[] = {0.0, 0.0};
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double beta[] = {1.0, 1.0};
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double norm = check_zaxpby(n, alpha, incx, beta, incy);
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ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
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}
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/**
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* Fortran API specific test
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* Test zaxpby by comparing it with zscal and zaxpy.
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* Test with the following options:
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*
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* Size of vectors x, y is 100
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* Stride of vector x is 1
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* Stride of vector y is 1
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* Scalar beta is zero
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*/
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CTEST(zaxpby, inc_x_1_inc_y_1_N_100_beta_zero)
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{
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blasint n = DATASIZE, incx = 1, incy = 1;
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double alpha[] = {1.0, 1.0};
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double beta[] = {0.0, 0.0};
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double norm = check_zaxpby(n, alpha, incx, beta, incy);
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ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
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}
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/**
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* Fortran API specific test
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* Test zaxpby by comparing it with zscal and zaxpy.
|
|
* Test with the following options:
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*
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* Size of vectors x, y is 100
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* Stride of vector x is 1
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* Stride of vector y is 1
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* Scalar alpha is zero
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* Scalar beta is zero
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*/
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CTEST(zaxpby, inc_x_1_inc_y_1_N_100_alpha_beta_zero)
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{
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blasint n = DATASIZE, incx = 1, incy = 1;
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double alpha[] = {0.0, 0.0};
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double beta[] = {0.0, 0.0};
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double norm = check_zaxpby(n, alpha, incx, beta, incy);
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ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
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}
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/**
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* Fortran API specific test
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* Test zaxpby by comparing it with zscal and zaxpy.
|
|
* Test with the following options:
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|
*
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* Size of vectors x, y is 100
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* Stride of vector x is 1
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* Stride of vector y is 2
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* Scalar alpha is zero
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* Scalar beta is zero
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*/
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CTEST(zaxpby, inc_x_1_inc_y_2_N_100_alpha_beta_zero)
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{
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blasint n = DATASIZE, incx = 1, incy = 2;
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double alpha[] = {0.0, 0.0};
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double beta[] = {0.0, 0.0};
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double norm = check_zaxpby(n, alpha, incx, beta, incy);
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ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
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}
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/**
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* Fortran API specific test
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* Check if n - size of vectors x, y is zero
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*/
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CTEST(zaxpby, check_n_zero)
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{
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blasint n = 0, incx = 1, incy = 1;
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double alpha[] = {1.0, 1.0};
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double beta[] = {1.0, 1.0};
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double norm = check_zaxpby(n, alpha, incx, beta, incy);
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ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
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}
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|
|
/**
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|
* C API specific test
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|
* Test zaxpby by comparing it with zscal and zaxpy.
|
|
* Test with the following options:
|
|
*
|
|
* Size of vectors x, y is 100
|
|
* Stride of vector x is 1
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* Stride of vector y is 1
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*/
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CTEST(zaxpby, c_api_inc_x_1_inc_y_1_N_100)
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{
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blasint n = DATASIZE, incx = 1, incy = 1;
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double alpha[] = {1.0, 1.0};
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double beta[] = {1.0, 1.0};
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double norm = c_api_check_zaxpby(n, alpha, incx, beta, incy);
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ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
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}
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|
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|
/**
|
|
* C API specific test
|
|
* Test zaxpby by comparing it with zscal and zaxpy.
|
|
* Test with the following options:
|
|
*
|
|
* Size of vectors x, y is 100
|
|
* Stride of vector x is 2
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* Stride of vector y is 1
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*/
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CTEST(zaxpby, c_api_inc_x_2_inc_y_1_N_100)
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|
{
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blasint n = DATASIZE, incx = 2, incy = 1;
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double alpha[] = {2.0, 1.0};
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double beta[] = {1.0, 1.0};
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|
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double norm = c_api_check_zaxpby(n, alpha, incx, beta, incy);
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ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
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|
}
|
|
|
|
/**
|
|
* C API specific test
|
|
* Test zaxpby by comparing it with zscal and zaxpy.
|
|
* Test with the following options:
|
|
*
|
|
* Size of vectors x, y is 100
|
|
* Stride of vector x is 1
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* Stride of vector y is 2
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|
*/
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CTEST(zaxpby, c_api_inc_x_1_inc_y_2_N_100)
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|
{
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blasint n = DATASIZE, incx = 1, incy = 2;
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double alpha[] = {1.0, 1.0};
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double beta[] = {2.0, 2.1};
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double norm = c_api_check_zaxpby(n, alpha, incx, beta, incy);
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ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
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}
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|
|
|
/**
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|
* C API specific test
|
|
* Test zaxpby by comparing it with zscal and zaxpy.
|
|
* Test with the following options:
|
|
*
|
|
* Size of vectors x, y is 100
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|
* Stride of vector x is 2
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* Stride of vector y is 2
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*/
|
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CTEST(zaxpby, c_api_inc_x_2_inc_y_2_N_100)
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|
{
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blasint n = DATASIZE, incx = 2, incy = 2;
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double alpha[] = {3.0, 2.0};
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double beta[] = {4.0, 3.0};
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|
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double norm = c_api_check_zaxpby(n, alpha, incx, beta, incy);
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ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
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}
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|
|
/**
|
|
* C API specific test
|
|
* Test zaxpby by comparing it with zscal and zaxpy.
|
|
* Test with the following options:
|
|
*
|
|
* Size of vectors x, y is 100
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|
* Stride of vector x is -1
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|
* Stride of vector y is 2
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*/
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|
CTEST(zaxpby, c_api_inc_x_neg_1_inc_y_2_N_100)
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|
{
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|
blasint n = DATASIZE, incx = -1, incy = 2;
|
|
double alpha[] = {5.0, 2.0};
|
|
double beta[] = {4.0, 3.1};
|
|
|
|
double norm = c_api_check_zaxpby(n, alpha, incx, beta, incy);
|
|
|
|
ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
|
|
}
|
|
|
|
/**
|
|
* C API specific test
|
|
* Test zaxpby by comparing it with zscal and 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(zaxpby, c_api_inc_x_2_inc_y_neg_1_N_100)
|
|
{
|
|
blasint n = DATASIZE, incx = 2, incy = -1;
|
|
double alpha[] = {1.0, 1.0};
|
|
double beta[] = {6.0, 2.3};
|
|
|
|
double norm = c_api_check_zaxpby(n, alpha, incx, beta, incy);
|
|
|
|
ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
|
|
}
|
|
|
|
/**
|
|
* C API specific test
|
|
* Test zaxpby by comparing it with zscal and 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(zaxpby, c_api_inc_x_neg_2_inc_y_neg_1_N_100)
|
|
{
|
|
blasint n = DATASIZE, incx = -2, incy = -1;
|
|
double alpha[] = {7.0, 1.0};
|
|
double beta[] = {3.5, 1.0};
|
|
|
|
double norm = c_api_check_zaxpby(n, alpha, incx, beta, incy);
|
|
|
|
ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
|
|
}
|
|
|
|
/**
|
|
* C API specific test
|
|
* Test zaxpby by comparing it with zscal and 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
|
|
* Scalar alpha is zero
|
|
*/
|
|
CTEST(zaxpby, c_api_inc_x_1_inc_y_1_N_100_alpha_zero)
|
|
{
|
|
blasint n = DATASIZE, incx = 1, incy = 1;
|
|
double alpha[] = {0.0, 0.0};
|
|
double beta[] = {1.0, 1.0};
|
|
|
|
double norm = c_api_check_zaxpby(n, alpha, incx, beta, incy);
|
|
|
|
ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
|
|
}
|
|
|
|
/**
|
|
* C API specific test
|
|
* Test zaxpby by comparing it with zscal and 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
|
|
* Scalar beta is zero
|
|
*/
|
|
CTEST(zaxpby, c_api_inc_x_1_inc_y_1_N_100_beta_zero)
|
|
{
|
|
blasint n = DATASIZE, incx = 1, incy = 1;
|
|
double alpha[] = {1.0, 1.0};
|
|
double beta[] = {0.0, 0.0};
|
|
|
|
double norm = c_api_check_zaxpby(n, alpha, incx, beta, incy);
|
|
|
|
ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
|
|
}
|
|
|
|
/**
|
|
* C API specific test
|
|
* Test zaxpby by comparing it with zscal and 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
|
|
* Scalar alpha is zero
|
|
* Scalar beta is zero
|
|
*/
|
|
CTEST(zaxpby, c_api_inc_x_1_inc_y_1_N_100_alpha_beta_zero)
|
|
{
|
|
blasint n = DATASIZE, incx = 1, incy = 1;
|
|
double alpha[] = {0.0, 0.0};
|
|
double beta[] = {0.0, 0.0};
|
|
|
|
double norm = c_api_check_zaxpby(n, alpha, incx, beta, incy);
|
|
|
|
ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
|
|
}
|
|
|
|
/**
|
|
* C API specific test
|
|
* Test zaxpby by comparing it with zscal and 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
|
|
* Scalar alpha is zero
|
|
* Scalar beta is zero
|
|
*/
|
|
CTEST(zaxpby, c_api_inc_x_1_inc_y_2_N_100_alpha_beta_zero)
|
|
{
|
|
blasint n = DATASIZE, incx = 1, incy = 2;
|
|
double alpha[] = {0.0, 0.0};
|
|
double beta[] = {0.0, 0.0};
|
|
|
|
double norm = c_api_check_zaxpby(n, alpha, incx, beta, incy);
|
|
|
|
ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
|
|
}
|
|
|
|
/**
|
|
* C API specific test
|
|
* Check if n - size of vectors x, y is zero
|
|
*/
|
|
CTEST(zaxpby, c_api_check_n_zero)
|
|
{
|
|
blasint n = 0, incx = 1, incy = 1;
|
|
double alpha[] = {1.0, 1.0};
|
|
double beta[] = {1.0, 1.0};
|
|
|
|
double norm = c_api_check_zaxpby(n, alpha, incx, beta, incy);
|
|
|
|
ASSERT_DBL_NEAR_TOL(0.0, norm, DOUBLE_EPS);
|
|
}
|
|
#endif
|