/* ************************************************************************ * 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 #include "testing_common.hpp" /* ============================================================================================ */ using hipblasTpsvModel = ArgumentModel; inline void testname_tpsv(const Arguments& arg, std::string& name) { hipblasTpsvModel{}.test_name(arg, name); } template void testing_tpsv_bad_arg(const Arguments& arg) { bool FORTRAN = arg.api == hipblas_client_api::FORTRAN; auto hipblasTpsvFn = FORTRAN ? hipblasTpsv : hipblasTpsv; auto hipblasTpsvFn_64 = arg.api == FORTRAN_64 ? hipblasTpsv_64 : hipblasTpsv_64; for(auto pointer_mode : {HIPBLAS_POINTER_MODE_HOST, HIPBLAS_POINTER_MODE_DEVICE}) { hipblasLocalHandle handle(arg); CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, pointer_mode)); hipblasOperation_t transA = HIPBLAS_OP_N; hipblasFillMode_t uplo = HIPBLAS_FILL_MODE_UPPER; hipblasDiagType_t diag = HIPBLAS_DIAG_NON_UNIT; int64_t N = 100; int64_t incx = 1; // Allocate device memory device_matrix dAp(1, hipblas_packed_matrix_size(N), 1); device_vector dx(N, incx); DAPI_EXPECT(HIPBLAS_STATUS_NOT_INITIALIZED, hipblasTpsvFn, (nullptr, uplo, transA, diag, N, dAp, dx, incx)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasTpsvFn, (handle, HIPBLAS_FILL_MODE_FULL, transA, diag, N, dAp, dx, incx)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_ENUM, hipblasTpsvFn, (handle, (hipblasFillMode_t)HIPBLAS_OP_N, transA, diag, N, dAp, dx, incx)); DAPI_EXPECT( HIPBLAS_STATUS_INVALID_ENUM, hipblasTpsvFn, (handle, uplo, (hipblasOperation_t)HIPBLAS_FILL_MODE_FULL, diag, N, dAp, dx, incx)); DAPI_EXPECT( HIPBLAS_STATUS_INVALID_ENUM, hipblasTpsvFn, (handle, uplo, transA, (hipblasDiagType_t)HIPBLAS_FILL_MODE_FULL, N, dAp, dx, incx)); if(arg.bad_arg_all) { DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasTpsvFn, (handle, uplo, transA, diag, N, nullptr, dx, incx)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasTpsvFn, (handle, uplo, transA, diag, N, dAp, nullptr, incx)); } // With N == 0, can have all nullptrs DAPI_CHECK(hipblasTpsvFn, (handle, uplo, transA, diag, 0, nullptr, nullptr, incx)); } } template void testing_tpsv(const Arguments& arg) { bool FORTRAN = arg.api == hipblas_client_api::FORTRAN; auto hipblasTpsvFn = FORTRAN ? hipblasTpsv : hipblasTpsv; auto hipblasTpsvFn_64 = arg.api == FORTRAN_64 ? hipblasTpsv_64 : hipblasTpsv_64; hipblasFillMode_t uplo = char2hipblas_fill(arg.uplo); hipblasDiagType_t diag = char2hipblas_diagonal(arg.diag); hipblasOperation_t transA = char2hipblas_operation(arg.transA); int64_t N = arg.N; int64_t incx = arg.incx; size_t abs_incx = incx < 0 ? -incx : incx; size_t size_A = N * N; size_t size_AP = N * (N + 1) / 2; size_t size_x = abs_incx * N; hipblasLocalHandle handle(arg); // argument sanity check, quick return if input parameters are invalid before allocating invalid // memory bool invalid_size = N < 0 || !incx; if(invalid_size || !N) { DAPI_EXPECT(invalid_size ? HIPBLAS_STATUS_INVALID_VALUE : HIPBLAS_STATUS_SUCCESS, hipblasTpsvFn, (handle, uplo, transA, diag, N, nullptr, nullptr, incx)); return; } // Naming: `h` is in CPU (host) memory(eg hAp), `d` is in GPU (device) memory (eg dAp). // Allocate host memory host_matrix hA(N, N, N); host_matrix hAp(1, hipblas_packed_matrix_size(N), 1); host_vector hb(N, incx); host_vector hx(N, incx); host_vector hx_or_b(N, incx); host_vector cpu_x_or_b(N, incx); // Allocate device memory device_matrix dAp(1, hipblas_packed_matrix_size(N), 1); device_vector dx_or_b(N, incx); // Check device memory allocation CHECK_DEVICE_ALLOCATION(dAp.memcheck()); CHECK_DEVICE_ALLOCATION(dx_or_b.memcheck()); double gpu_time_used{0}, hipblas_error{0}; // Initial Data on CPU hipblas_init_matrix(hA, arg, hipblas_client_never_set_nan, hipblas_diagonally_dominant_triangular_matrix, true, false); hipblas_init_vector(hx, arg, hipblas_client_never_set_nan, false, true); hb = hx; if(diag == HIPBLAS_DIAG_UNIT) { make_unit_diagonal(uplo, (T*)hA, N, N); } // Calculate hb = hA*hx; ref_trmv(uplo, transA, diag, N, hA.data(), N, hb.data(), incx); cpu_x_or_b = hb; // cpuXorB <- B hx_or_b = hb; // helper function to convert Regular matrix `hA` to packed matrix `hAp` regular_to_packed(uplo == HIPBLAS_FILL_MODE_UPPER, hA, hAp, N); // copy data from CPU to device CHECK_HIP_ERROR(dAp.transfer_from(hAp)); CHECK_HIP_ERROR(dx_or_b.transfer_from(hx_or_b)); /* ===================================================================== HIPBLAS =================================================================== */ if(arg.unit_check || arg.norm_check) { DAPI_CHECK(hipblasTpsvFn, (handle, uplo, transA, diag, N, dAp, dx_or_b, incx)); // copy output from device to CPU CHECK_HIP_ERROR(hx_or_b.transfer_from(dx_or_b)); // Calculating error hipblas_error = hipblas_abs(vector_norm_1(N, abs_incx, hx.data(), hx_or_b.data())); if(arg.unit_check) { double tolerance = std::numeric_limits>::epsilon() * 40 * N; unit_check_error(hipblas_error, tolerance); } } if(arg.timing) { double gpu_time_used{0}; hipStream_t stream; CHECK_HIPBLAS_ERROR(hipblasGetStream(handle, &stream)); CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, HIPBLAS_POINTER_MODE_HOST)); 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_DISPATCH(hipblasTpsvFn, (handle, uplo, transA, diag, N, dAp, dx_or_b, incx)); } gpu_time_used = get_time_us_sync(stream) - gpu_time_used; // in microseconds hipblasTpsvModel{}.log_args(std::cout, arg, gpu_time_used, tpsv_gflop_count(N), tpsv_gbyte_count(N), hipblas_error); } }