/* ************************************************************************ * Copyright (C) 2016-2025 Advanced Micro Devices, Inc. All rights reserved. * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. * * ************************************************************************ */ #include #include #include #include "testing_common.hpp" /* ============================================================================================ */ using hipblasRotBatchedModel = ArgumentModel; inline void testname_rot_batched(const Arguments& arg, std::string& name) { hipblasRotBatchedModel{}.test_name(arg, name); } template void testing_rot_batched_bad_arg(const Arguments& arg) { bool FORTRAN = arg.api == hipblas_client_api::FORTRAN; auto hipblasRotBatchedFn = FORTRAN ? hipblasRotBatched : hipblasRotBatched; auto hipblasRotBatchedFn_64 = arg.api == FORTRAN_64 ? hipblasRotBatched_64 : hipblasRotBatched_64; int64_t N = 100; int64_t incx = 1; int64_t incy = 1; int64_t batch_count = 2; hipblasLocalHandle handle(arg); device_batch_vector dx(N, incx, batch_count); device_batch_vector dy(N, incy, batch_count); device_vector dc(1); device_vector ds(1); DAPI_EXPECT(HIPBLAS_STATUS_NOT_INITIALIZED, hipblasRotBatchedFn, (nullptr, N, dx, incx, dy, incy, dc, ds, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasRotBatchedFn, (handle, N, nullptr, incx, dy, incy, dc, ds, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasRotBatchedFn, (handle, N, dx, incx, nullptr, incy, dc, ds, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasRotBatchedFn, (handle, N, dx, incx, dy, incy, nullptr, ds, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasRotBatchedFn, (handle, N, dx, incx, dy, incy, dc, nullptr, batch_count)); } template void testing_rot_batched(const Arguments& arg) { bool FORTRAN = arg.api == hipblas_client_api::FORTRAN; auto hipblasRotBatchedFn = FORTRAN ? hipblasRotBatched : hipblasRotBatched; auto hipblasRotBatchedFn_64 = arg.api == FORTRAN_64 ? hipblasRotBatched_64 : hipblasRotBatched_64; int64_t N = arg.N; int64_t incx = arg.incx; int64_t incy = arg.incy; int64_t batch_count = arg.batch_count; const U rel_error = std::numeric_limits::epsilon() * 1000; hipblasLocalHandle handle(arg); // check to prevent undefined memory allocation error if(N <= 0 || batch_count <= 0) { DAPI_CHECK(hipblasRotBatchedFn, (handle, N, nullptr, incx, nullptr, incy, nullptr, nullptr, batch_count)); return; } int64_t abs_incx = incx >= 0 ? incx : -incx; int64_t abs_incy = incy >= 0 ? incy : -incy; double gpu_time_used{0}, hipblas_error_host{0}, hipblas_error_device{0}; device_batch_vector dx(N, incx, batch_count); device_batch_vector dy(N, incy, batch_count); device_vector dc(1); device_vector ds(1); CHECK_DEVICE_ALLOCATION(dx.memcheck()); CHECK_DEVICE_ALLOCATION(dy.memcheck()); CHECK_DEVICE_ALLOCATION(dc.memcheck()); CHECK_DEVICE_ALLOCATION(ds.memcheck()); // Initial Data on CPU host_batch_vector hx(N, incx, batch_count); host_batch_vector hy(N, incy, batch_count); host_vector hc(1); host_vector hs(1); // Random alpha (0 - 10) host_vector alpha(1); hipblas_init_vector(hx, arg, hipblas_client_never_set_nan, true); hipblas_init_vector(hy, arg, hipblas_client_never_set_nan, false); hipblas_init_vector(alpha, arg, hipblas_client_never_set_nan, false); // cos and sin of alpha (in rads) hc[0] = cos(alpha[0]); hs[0] = sin(alpha[0]); // CPU BLAS reference data host_batch_vector cx(N, incx, batch_count); host_batch_vector cy(N, incy, batch_count); cx.copy_from(hx); cy.copy_from(hy); // ref_rotg(cx, cy, hc, hs); // cx[0] = hx[0]; // cy[0] = hy[0]; for(int64_t b = 0; b < batch_count; b++) { ref_rot(N, cx[b], incx, cy[b], incy, *hc, *hs); } if(arg.unit_check || arg.norm_check) { // Test host { CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_HOST)); CHECK_HIP_ERROR(dx.transfer_from(hx)); CHECK_HIP_ERROR(dy.transfer_from(hy)); DAPI_CHECK(hipblasRotBatchedFn, (handle, N, dx.ptr_on_device(), incx, dy.ptr_on_device(), incy, hc.internal_type(), hs.internal_type(), batch_count)); host_batch_vector rx(N, incx, batch_count); host_batch_vector ry(N, incy, batch_count); CHECK_HIP_ERROR(rx.transfer_from(dx)); CHECK_HIP_ERROR(ry.transfer_from(dy)); if(arg.unit_check) { for(int64_t b = 0; b < batch_count; b++) { near_check_general(1, N, abs_incx, cx[b], rx[b], rel_error); near_check_general(1, N, abs_incy, cy[b], ry[b], rel_error); } } if(arg.norm_check) { hipblas_error_host = norm_check_general('F', 1, N, abs_incx, cx, rx, batch_count); hipblas_error_host += norm_check_general('F', 1, N, abs_incy, cy, ry, batch_count); } } // Test device { CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE)); CHECK_HIP_ERROR(dx.transfer_from(hx)); CHECK_HIP_ERROR(dy.transfer_from(hy)); CHECK_HIP_ERROR(hipMemcpy(dc, hc, sizeof(U), hipMemcpyHostToDevice)); CHECK_HIP_ERROR(hipMemcpy(ds, hs, sizeof(V), hipMemcpyHostToDevice)); DAPI_CHECK(hipblasRotBatchedFn, (handle, N, dx.ptr_on_device(), incx, dy.ptr_on_device(), incy, dc, ds, batch_count)); host_batch_vector rx(N, incx, batch_count); host_batch_vector ry(N, incy, batch_count); CHECK_HIP_ERROR(rx.transfer_from(dx)); CHECK_HIP_ERROR(ry.transfer_from(dy)); if(arg.unit_check) { for(int64_t b = 0; b < batch_count; b++) { near_check_general(1, N, abs_incx, cx[b], rx[b], rel_error); near_check_general(1, N, abs_incy, cy[b], ry[b], rel_error); } } if(arg.norm_check) { hipblas_error_device = norm_check_general('F', 1, N, abs_incx, cx, rx, batch_count); hipblas_error_device += norm_check_general('F', 1, N, abs_incy, cy, ry, batch_count); } } } if(arg.timing) { CHECK_HIP_ERROR(dx.transfer_from(hx)); CHECK_HIP_ERROR(dy.transfer_from(hy)); CHECK_HIP_ERROR(hipMemcpy(dc, hc, sizeof(U), hipMemcpyHostToDevice)); CHECK_HIP_ERROR(hipMemcpy(ds, hs, sizeof(V), hipMemcpyHostToDevice)); hipStream_t stream; CHECK_HIPBLAS_ERROR(hipblasGetStream(handle, &stream)); CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE)); int runs = arg.cold_iters + arg.iters; for(int iter = 0; iter < runs; iter++) { if(iter == arg.cold_iters) gpu_time_used = get_time_us_sync(stream); DAPI_CHECK(hipblasRotBatchedFn, (handle, N, dx.ptr_on_device(), incx, dy.ptr_on_device(), incy, dc, ds, batch_count)); } gpu_time_used = get_time_us_sync(stream) - gpu_time_used; hipblasRotBatchedModel{}.log_args(std::cout, arg, gpu_time_used, rot_gflop_count(N), rot_gbyte_count(N), hipblas_error_host, hipblas_error_device); } }