/* ************************************************************************ * 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 hipblasRotmgBatchedModel = ArgumentModel; inline void testname_rotmg_batched(const Arguments& arg, std::string& name) { hipblasRotmgBatchedModel{}.test_name(arg, name); } template void testing_rotmg_batched_bad_arg(const Arguments& arg) { bool FORTRAN = arg.api == hipblas_client_api::FORTRAN; auto hipblasRotmgBatchedFn = FORTRAN ? hipblasRotmgBatched : hipblasRotmgBatched; auto hipblasRotmgBatchedFn_64 = arg.api == FORTRAN_64 ? hipblasRotmgBatched_64 : hipblasRotmgBatched_64; hipblasLocalHandle handle(arg); int64_t batch_count = 2; device_batch_vector d1(1, 1, batch_count); device_batch_vector d2(1, 1, batch_count); device_batch_vector x1(1, 1, batch_count); device_batch_vector y1(1, 1, batch_count); device_batch_vector param(5, 1, batch_count); DAPI_EXPECT(HIPBLAS_STATUS_NOT_INITIALIZED, hipblasRotmgBatchedFn, (nullptr, d1, d2, x1, y1, param, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasRotmgBatchedFn, (handle, nullptr, d2, x1, y1, param, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasRotmgBatchedFn, (handle, d1, nullptr, x1, y1, param, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasRotmgBatchedFn, (handle, d1, d2, nullptr, y1, param, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasRotmgBatchedFn, (handle, d1, d2, x1, nullptr, param, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasRotmgBatchedFn, (handle, d1, d2, x1, y1, nullptr, batch_count)); } template void testing_rotmg_batched(const Arguments& arg) { bool FORTRAN = arg.api == hipblas_client_api::FORTRAN; auto hipblasRotmgBatchedFn = FORTRAN ? hipblasRotmgBatched : hipblasRotmgBatched; auto hipblasRotmgBatchedFn_64 = arg.api == FORTRAN_64 ? hipblasRotmgBatched_64 : hipblasRotmgBatched_64; int64_t batch_count = arg.batch_count; T rel_error = std::numeric_limits::epsilon() * 1000; // check to prevent undefined memory allocation error if(batch_count <= 0) return; double gpu_time_used{0}, hipblas_error_host{0}, hipblas_error_device{0}; hipblasLocalHandle handle(arg); // Initial Data on CPU // host data for hipBLAS host test host_batch_vector hd1(1, 1, batch_count); host_batch_vector hd2(1, 1, batch_count); host_batch_vector hx1(1, 1, batch_count); host_batch_vector hy1(1, 1, batch_count); host_batch_vector hparams(5, 1, batch_count); // host data for CBLAS test host_batch_vector cd1(1, 1, batch_count); host_batch_vector cd2(1, 1, batch_count); host_batch_vector cx1(1, 1, batch_count); host_batch_vector cy1(1, 1, batch_count); host_batch_vector cparams(5, 1, batch_count); // host data for hipBLAS device test host_batch_vector hd1_d(1, 1, batch_count); host_batch_vector hd2_d(1, 1, batch_count); host_batch_vector hx1_d(1, 1, batch_count); host_batch_vector hy1_d(1, 1, batch_count); host_batch_vector hparams_d(5, 1, batch_count); // device data for hipBLAS device test device_batch_vector dd1(1, 1, batch_count); device_batch_vector dd2(1, 1, batch_count); device_batch_vector dx1(1, 1, batch_count); device_batch_vector dy1(1, 1, batch_count); device_batch_vector dparams(5, 1, batch_count); CHECK_DEVICE_ALLOCATION(dd1.memcheck()); CHECK_DEVICE_ALLOCATION(dd2.memcheck()); CHECK_DEVICE_ALLOCATION(dx1.memcheck()); CHECK_DEVICE_ALLOCATION(dy1.memcheck()); CHECK_DEVICE_ALLOCATION(dparams.memcheck()); hipblas_init_vector(hd1, arg, hipblas_client_alpha_sets_nan, true); hipblas_init_vector(hd2, arg, hipblas_client_alpha_sets_nan, false); hipblas_init_vector(hx1, arg, hipblas_client_alpha_sets_nan, false); hipblas_init_vector(hy1, arg, hipblas_client_alpha_sets_nan, false); hipblas_init_vector(hparams, arg, hipblas_client_alpha_sets_nan, false); cd1.copy_from(hd1); cd2.copy_from(hd2); cx1.copy_from(hx1); cy1.copy_from(hy1); cparams.copy_from(hparams); CHECK_HIP_ERROR(dd1.transfer_from(hd1)); CHECK_HIP_ERROR(dd2.transfer_from(hd2)); CHECK_HIP_ERROR(dx1.transfer_from(hx1)); CHECK_HIP_ERROR(dy1.transfer_from(hy1)); CHECK_HIP_ERROR(dparams.transfer_from(hparams)); if(arg.unit_check || arg.norm_check) { CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_HOST)); DAPI_CHECK(hipblasRotmgBatchedFn, (handle, hd1, hd2, hx1, hy1, hparams, batch_count)); CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_DEVICE)); DAPI_CHECK(hipblasRotmgBatchedFn, (handle, dd1.ptr_on_device(), dd2.ptr_on_device(), dx1.ptr_on_device(), dy1.ptr_on_device(), dparams.ptr_on_device(), batch_count)); CHECK_HIP_ERROR(hd1_d.transfer_from(dd1)); CHECK_HIP_ERROR(hd2_d.transfer_from(dd2)); CHECK_HIP_ERROR(hx1_d.transfer_from(dx1)); CHECK_HIP_ERROR(hy1_d.transfer_from(dy1)); CHECK_HIP_ERROR(hparams_d.transfer_from(dparams)); // CBLAS for(int64_t b = 0; b < batch_count; b++) { ref_rotmg(cd1[b], cd2[b], cx1[b], cy1[b], cparams[b]); } if(arg.unit_check) { for(int64_t b = 0; b < batch_count; b++) { near_check_general(1, 1, 1, cd1[b], hd1[b], rel_error); near_check_general(1, 1, 1, cd2[b], hd2[b], rel_error); near_check_general(1, 1, 1, cx1[b], hx1[b], rel_error); near_check_general(1, 1, 1, cy1[b], hy1[b], rel_error); near_check_general(1, 5, 1, cparams[b], hparams[b], rel_error); near_check_general(1, 1, 1, cd1[b], hd1_d[b], rel_error); near_check_general(1, 1, 1, cd2[b], hd2_d[b], rel_error); near_check_general(1, 1, 1, cx1[b], hx1_d[b], rel_error); near_check_general(1, 1, 1, cy1[b], hy1_d[b], rel_error); near_check_general(1, 5, 1, cparams[b], hparams_d[b], rel_error); } } if(arg.norm_check) { hipblas_error_host = norm_check_general('F', 1, 1, 1, cd1, hd1, batch_count); hipblas_error_host += norm_check_general('F', 1, 1, 1, cd2, hd2, batch_count); hipblas_error_host += norm_check_general('F', 1, 1, 1, cx1, hx1, batch_count); hipblas_error_host += norm_check_general('F', 1, 1, 1, cy1, hy1, batch_count); hipblas_error_host += norm_check_general('F', 1, 5, 1, cparams, hparams, batch_count); hipblas_error_device = norm_check_general('F', 1, 1, 1, cd1, hd1_d, batch_count); hipblas_error_device += norm_check_general('F', 1, 1, 1, cd2, hd2_d, batch_count); hipblas_error_device += norm_check_general('F', 1, 1, 1, cx1, hx1_d, batch_count); hipblas_error_device += norm_check_general('F', 1, 1, 1, cy1, hy1_d, batch_count); hipblas_error_device += norm_check_general('F', 1, 5, 1, cparams, hparams_d, batch_count); } } 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(hipblasRotmgBatchedFn, (handle, dd1.ptr_on_device(), dd2.ptr_on_device(), dx1.ptr_on_device(), dy1.ptr_on_device(), dparams.ptr_on_device(), batch_count)); } gpu_time_used = get_time_us_sync(stream) - gpu_time_used; hipblasRotmgBatchedModel{}.log_args(std::cout, arg, gpu_time_used, ArgumentLogging::NA_value, ArgumentLogging::NA_value, hipblas_error_host, hipblas_error_device); } }