/***************************************************************************** Copyright (c) 2023, The OpenBLAS Project All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the OpenBLAS project nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. **********************************************************************************/ #include "utest/openblas_utest.h" #include "common.h" #define DATASIZE 100 #define INCREMENT 2 struct DATA_CAXPBY { 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_CAXPBY data_caxpby; /** * Fortran API specific function * Test caxpby by comparing it with cscal and 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 beta - scalar beta * param incy - increment for the elements of y * return norm of difference */ static float check_caxpby(blasint n, float *alpha, blasint incx, float *beta, blasint incy) { blasint i; // cscal accept only positive increments blasint incx_abs = labs(incx); blasint incy_abs = labs(incy); // Fill vectors x, y srand_generate(data_caxpby.x_test, n * incx_abs * 2); srand_generate(data_caxpby.y_test, n * incy_abs * 2); // Copy vector x for caxpy for (i = 0; i < n * incx_abs * 2; i++) data_caxpby.x_verify[i] = data_caxpby.x_test[i]; // Copy vector y for cscal for (i = 0; i < n * incy_abs * 2; i++) data_caxpby.y_verify[i] = data_caxpby.y_test[i]; // Find beta*y BLASFUNC(cscal)(&n, beta, data_caxpby.y_verify, &incy_abs); // Find sum of alpha*x and beta*y BLASFUNC(caxpy)(&n, alpha, data_caxpby.x_verify, &incx, data_caxpby.y_verify, &incy); BLASFUNC(caxpby)(&n, alpha, data_caxpby.x_test, &incx, beta, data_caxpby.y_test, &incy); // Find the differences between output vector caculated by caxpby and caxpy for (i = 0; i < n * incy_abs * 2; i++) data_caxpby.y_test[i] -= data_caxpby.y_verify[i]; // Find the norm of differences return BLASFUNC(scnrm2)(&n, data_caxpby.y_test, &incy_abs); } #ifndef NO_CBLAS /** * C API specific function * Test caxpby by comparing it with cscal and 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 beta - scalar beta * param incy - increment for the elements of y * return norm of difference */ static float c_api_check_caxpby(blasint n, float *alpha, blasint incx, float *beta, blasint incy) { blasint i; // cscal accept only positive increments blasint incx_abs = labs(incx); blasint incy_abs = labs(incy); // Fill vectors x, y srand_generate(data_caxpby.x_test, n * incx_abs * 2); srand_generate(data_caxpby.y_test, n * incy_abs * 2); // Copy vector x for caxpy for (i = 0; i < n * incx_abs * 2; i++) data_caxpby.x_verify[i] = data_caxpby.x_test[i]; // Copy vector y for cscal for (i = 0; i < n * incy_abs * 2; i++) data_caxpby.y_verify[i] = data_caxpby.y_test[i]; // Find beta*y cblas_cscal(n, beta, data_caxpby.y_verify, incy_abs); // Find sum of alpha*x and beta*y cblas_caxpy(n, alpha, data_caxpby.x_verify, incx, data_caxpby.y_verify, incy); cblas_caxpby(n, alpha, data_caxpby.x_test, incx, beta, data_caxpby.y_test, incy); // Find the differences between output vector caculated by caxpby and caxpy for (i = 0; i < n * incy_abs * 2; i++) data_caxpby.y_test[i] -= data_caxpby.y_verify[i]; // Find the norm of differences return cblas_scnrm2(n, data_caxpby.y_test, incy_abs); } #endif /** * Fortran API specific test * Test caxpby by comparing it with cscal and 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(caxpby, inc_x_1_inc_y_1_N_100) { blasint n = DATASIZE, incx = 1, incy = 1; float alpha[] = {1.0f, 1.0f}; float beta[] = {1.0f, 1.0f}; float norm = check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * Fortran API specific test * Test caxpby by comparing it with cscal and 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(caxpby, inc_x_2_inc_y_1_N_100) { blasint n = DATASIZE, incx = 2, incy = 1; float alpha[] = {2.0f, 1.0f}; float beta[] = {1.0f, 1.0f}; float norm = check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * Fortran API specific test * Test caxpby by comparing it with cscal and 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(caxpby, inc_x_1_inc_y_2_N_100) { blasint n = DATASIZE, incx = 1, incy = 2; float alpha[] = {1.0f, 1.0f}; float beta[] = {2.0f, 1.0f}; float norm = check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * Fortran API specific test * Test caxpby by comparing it with cscal and 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(caxpby, inc_x_2_inc_y_2_N_100) { blasint n = DATASIZE, incx = 2, incy = 2; float alpha[] = {3.0f, 1.0f}; float beta[] = {4.0f, 3.0f}; float norm = check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * Fortran API specific test * Test caxpby by comparing it with cscal and 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(caxpby, inc_x_neg_1_inc_y_2_N_100) { blasint n = DATASIZE, incx = -1, incy = 2; float alpha[] = {5.0f, 2.2f}; float beta[] = {4.0f, 5.0f}; float norm = check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * Fortran API specific test * Test caxpby by comparing it with cscal and 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(caxpby, inc_x_2_inc_y_neg_1_N_100) { blasint n = DATASIZE, incx = 2, incy = -1; float alpha[] = {1.0f, 1.0f}; float beta[] = {6.0f, 3.0f}; float norm = check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * Fortran API specific test * Test caxpby by comparing it with cscal and 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(caxpby, inc_x_neg_2_inc_y_neg_1_N_100) { blasint n = DATASIZE, incx = -2, incy = -1; float alpha[] = {7.0f, 2.0f}; float beta[] = {3.5f, 1.3f}; float norm = check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * Fortran API specific test * Test caxpby by comparing it with cscal and 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 * Scalar alpha is zero */ CTEST(caxpby, inc_x_1_inc_y_1_N_100_alpha_zero) { blasint n = DATASIZE, incx = 1, incy = 1; float alpha[] = {0.0f, 0.0f}; float beta[] = {1.0f, 1.0f}; float norm = check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * Fortran API specific test * Test caxpby by comparing it with cscal and 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 * Scalar beta is zero */ CTEST(caxpby, inc_x_1_inc_y_1_N_100_beta_zero) { blasint n = DATASIZE, incx = 1, incy = 1; float alpha[] = {1.0f, 1.0f}; float beta[] = {0.0f, 0.0f}; float norm = check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * Fortran API specific test * Test caxpby by comparing it with cscal and 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 * Scalar alpha is zero * Scalar beta is zero */ CTEST(caxpby, inc_x_1_inc_y_1_N_100_a_beta_zero) { blasint n = DATASIZE, incx = 1, incy = 1; float alpha[] = {0.0f, 0.0f}; float beta[] = {0.0f, 0.0f}; float norm = check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * Fortran API specific test * Test caxpby by comparing it with cscal and 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 * Scalar alpha is zero * Scalar beta is zero */ CTEST(caxpby, inc_x_1_inc_y_2_N_100_alpha_beta_zero) { blasint n = DATASIZE, incx = 1, incy = 2; float alpha[] = {0.0f, 0.0f}; float beta[] = {0.0f, 0.0f}; float norm = check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * Fortran API specific test * Check if n - size of vectors x, y is zero */ CTEST(caxpby, check_n_zero) { blasint n = 0, incx = 1, incy = 1; float alpha[] = {1.0f, 1.0f}; float beta[] = {1.0f, 1.0f}; float norm = check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } #ifndef NO_CBLAS /** * C API specific test * Test caxpby by comparing it with cscal and 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(caxpby, c_api_inc_x_1_inc_y_1_N_100) { blasint n = DATASIZE, incx = 1, incy = 1; float alpha[] = {1.0f, 1.0f}; float beta[] = {1.0f, 1.0f}; float norm = c_api_check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * C API specific test * Test caxpby by comparing it with cscal and 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(caxpby, c_api_inc_x_2_inc_y_1_N_100) { blasint n = DATASIZE, incx = 2, incy = 1; float alpha[] = {2.0f, 1.0f}; float beta[] = {1.0f, 1.0f}; float norm = c_api_check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * C API specific test * Test caxpby by comparing it with cscal and 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(caxpby, c_api_inc_x_1_inc_y_2_N_100) { blasint n = DATASIZE, incx = 1, incy = 2; float alpha[] = {1.0f, 1.0f}; float beta[] = {2.0f, 2.1f}; float norm = c_api_check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * C API specific test * Test caxpby by comparing it with cscal and 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(caxpby, c_api_inc_x_2_inc_y_2_N_100) { blasint n = DATASIZE, incx = 2, incy = 2; float alpha[] = {3.0f, 2.0f}; float beta[] = {4.0f, 3.0f}; float norm = c_api_check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * C API specific test * Test caxpby by comparing it with cscal and 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(caxpby, c_api_inc_x_neg_1_inc_y_2_N_100) { blasint n = DATASIZE, incx = -1, incy = 2; float alpha[] = {5.0f, 2.0f}; float beta[] = {4.0f, 3.1f}; float norm = c_api_check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * C API specific test * Test caxpby by comparing it with cscal and 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(caxpby, c_api_inc_x_2_inc_y_neg_1_N_100) { blasint n = DATASIZE, incx = 2, incy = -1; float alpha[] = {1.0f, 1.0f}; float beta[] = {6.0f, 2.3f}; float norm = c_api_check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * C API specific test * Test caxpby by comparing it with cscal and 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(caxpby, c_api_inc_x_neg_2_inc_y_neg_1_N_100) { blasint n = DATASIZE, incx = -2, incy = -1; float alpha[] = {7.0f, 1.0f}; float beta[] = {3.5f, 1.0f}; float norm = c_api_check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * C API specific test * Test caxpby by comparing it with cscal and 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 * Scalar alpha is zero */ CTEST(caxpby, c_api_inc_x_1_inc_y_1_N_100_alpha_zero) { blasint n = DATASIZE, incx = 1, incy = 1; float alpha[] = {0.0f, 0.0f}; float beta[] = {1.0f, 1.0f}; float norm = c_api_check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * C API specific test * Test caxpby by comparing it with cscal and 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 * Scalar beta is zero */ CTEST(caxpby, c_api_inc_x_1_inc_y_1_N_100_beta_zero) { blasint n = DATASIZE, incx = 1, incy = 1; float alpha[] = {1.0f, 1.0f}; float beta[] = {0.0f, 0.0f}; float norm = c_api_check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * C API specific test * Test caxpby by comparing it with cscal and 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 * Scalar alpha is zero * Scalar beta is zero */ CTEST(caxpby, c_api_inc_x_1_inc_y_1_N_100_a_beta_zero) { blasint n = DATASIZE, incx = 1, incy = 1; float alpha[] = {0.0f, 0.0f}; float beta[] = {0.0f, 0.0f}; float norm = c_api_check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * C API specific test * Test caxpby by comparing it with cscal and 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 * Scalar alpha is zero * Scalar beta is zero */ CTEST(caxpby, c_api_inc_x_1_inc_y_2_N_100_alpha_beta_zero) { blasint n = DATASIZE, incx = 1, incy = 2; float alpha[] = {0.0f, 0.0f}; float beta[] = {0.0f, 0.0f}; float norm = c_api_check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } /** * C API specific test * Check if n - size of vectors x, y is zero */ CTEST(caxpby, c_api_check_n_zero) { blasint n = 0, incx = 1, incy = 1; float alpha[] = {1.0f, 1.0f}; float beta[] = {1.0f, 1.0f}; float norm = c_api_check_caxpby(n, alpha, incx, beta, incy); ASSERT_DBL_NEAR_TOL(0.0f, norm, SINGLE_EPS); } #endif #endif