/* ************************************************************************ * Copyright (C) 2016-2024 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 hipblasAsumModel = ArgumentModel; inline void testname_asum(const Arguments& arg, std::string& name) { hipblasAsumModel{}.test_name(arg, name); } template void testing_asum_bad_arg(const Arguments& arg) { using Tr = real_t; bool FORTRAN = arg.api == hipblas_client_api::FORTRAN; auto hipblasAsumFn = FORTRAN ? hipblasAsum : hipblasAsum; auto hipblasAsumFn_64 = arg.api == FORTRAN_64 ? hipblasAsum_64 : hipblasAsum_64; for(auto pointer_mode : {HIPBLAS_POINTER_MODE_HOST, HIPBLAS_POINTER_MODE_DEVICE}) { hipblasLocalHandle handle(arg); CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, pointer_mode)); int64_t N = 100; int64_t incx = 1; // Host-side result invalid for device mode, but shouldn't matter for bad-arg test cases Tr res = 10; device_vector dx(N * incx); DAPI_EXPECT(HIPBLAS_STATUS_NOT_INITIALIZED, hipblasAsumFn, (nullptr, N, dx, incx, &res)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasAsumFn, (handle, N, dx, incx, nullptr)); // extra tests supported with rocBLAS backend if(arg.bad_arg_all) { DAPI_EXPECT( HIPBLAS_STATUS_INVALID_VALUE, hipblasAsumFn, (handle, N, nullptr, incx, &res)); } } } template void testing_asum(const Arguments& arg) { using Tr = real_t; bool FORTRAN = arg.api == hipblas_client_api::FORTRAN; auto hipblasAsumFn = FORTRAN ? hipblasAsum : hipblasAsum; auto hipblasAsumFn_64 = arg.api == FORTRAN_64 ? hipblasAsum_64 : hipblasAsum_64; int64_t N = arg.N; int64_t incx = arg.incx; hipblasLocalHandle handle(arg); // check to prevent undefined memory allocation error if(N <= 0 || incx <= 0) { device_vector d_hipblas_result_0(1); host_vector h_hipblas_result_0(1); hipblas_init_nan(h_hipblas_result_0.data(), 1); CHECK_HIP_ERROR( hipMemcpy(d_hipblas_result_0, h_hipblas_result_0, sizeof(Tr), hipMemcpyHostToDevice)); CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE)); DAPI_CHECK(hipblasAsumFn, (handle, N, nullptr, incx, d_hipblas_result_0)); host_vector cpu_0(1); host_vector gpu_0(1); CHECK_HIP_ERROR(hipMemcpy(gpu_0, d_hipblas_result_0, sizeof(Tr), hipMemcpyDeviceToHost)); unit_check_general(1, 1, 1, cpu_0, gpu_0); return; } // Naming: dX is in GPU (device) memory. hK is in CPU (host) memory, plz follow this practice host_vector hx(N, incx); device_vector dx(N, incx); device_vector d_hipblas_result(1); CHECK_DEVICE_ALLOCATION(dx.memcheck()); CHECK_DEVICE_ALLOCATION(d_hipblas_result.memcheck()); Tr cpu_result{0}, hipblas_result_host{0}, hipblas_result_device{0}; double gpu_time_used, hipblas_error_host = 0, hipblas_error_device = 0; // Initial Data on CPU hipblas_init_vector(hx, arg, hipblas_client_alpha_sets_nan, true); // copy data from CPU to device CHECK_HIP_ERROR(dx.transfer_from(hx)); if(arg.unit_check || arg.norm_check) { /* ===================================================================== HIPBLAS =================================================================== */ // hipblasAsum accept both dev/host pointer for the scalar CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE)); DAPI_CHECK(hipblasAsumFn, (handle, N, dx, incx, d_hipblas_result)); CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_HOST)); DAPI_CHECK(hipblasAsumFn, (handle, N, dx, incx, &hipblas_result_host)); CHECK_HIP_ERROR( hipMemcpy(&hipblas_result_device, d_hipblas_result, sizeof(Tr), hipMemcpyDeviceToHost)); /* ===================================================================== CPU BLAS =================================================================== */ ref_asum(N, hx.data(), incx, &cpu_result); // Near check for asum ILP64 bit bool near_check = arg.initialization == hipblas_initialization::hpl; Tr abs_error = hipblas_type_epsilon * cpu_result; Tr tolerance = 20.0; abs_error *= tolerance; if(arg.unit_check) { if(near_check) { near_check_general(1, 1, 1, &cpu_result, &hipblas_result_host, abs_error); near_check_general(1, 1, 1, &cpu_result, &hipblas_result_device, abs_error); } else { unit_check_general(1, 1, 1, &cpu_result, &hipblas_result_host); unit_check_general(1, 1, 1, &cpu_result, &hipblas_result_device); } } if(arg.norm_check) { hipblas_error_host = norm_check_general('F', 1, 1, 1, &cpu_result, &hipblas_result_host); hipblas_error_device = norm_check_general('F', 1, 1, 1, &cpu_result, &hipblas_result_device); } } // end of if unit/norm check if(arg.timing) { 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(hipblasAsumFn, (handle, N, dx, incx, d_hipblas_result)); } gpu_time_used = get_time_us_sync(stream) - gpu_time_used; hipblasAsumModel{}.log_args(std::cout, arg, gpu_time_used, asum_gflop_count(N), asum_gbyte_count(N), hipblas_error_host, hipblas_error_device); } return; }