/* ************************************************************************ * 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 hipblasTrmvBatchedModel = ArgumentModel; inline void testname_trmv_batched(const Arguments& arg, std::string& name) { hipblasTrmvBatchedModel{}.test_name(arg, name); } template void testing_trmv_batched_bad_arg(const Arguments& arg) { bool FORTRAN = arg.api == hipblas_client_api::FORTRAN; auto hipblasTrmvBatchedFn = FORTRAN ? hipblasTrmvBatched : hipblasTrmvBatched; auto hipblasTrmvBatchedFn_64 = arg.api == FORTRAN_64 ? hipblasTrmvBatched_64 : hipblasTrmvBatched_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 lda = 100; int64_t incx = 1; int64_t batch_count = 2; // Allocate device memory device_batch_matrix dA(N, N, lda, batch_count); device_batch_vector dx(N, incx, batch_count); DAPI_EXPECT(HIPBLAS_STATUS_NOT_INITIALIZED, hipblasTrmvBatchedFn, (nullptr, uplo, transA, diag, N, dA.ptr_on_device(), lda, dx.ptr_on_device(), incx, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasTrmvBatchedFn, (handle, HIPBLAS_FILL_MODE_FULL, transA, diag, N, dA.ptr_on_device(), lda, dx.ptr_on_device(), incx, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_ENUM, hipblasTrmvBatchedFn, (handle, (hipblasFillMode_t)HIPBLAS_OP_N, transA, diag, N, dA.ptr_on_device(), lda, dx.ptr_on_device(), incx, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_ENUM, hipblasTrmvBatchedFn, (handle, uplo, (hipblasOperation_t)HIPBLAS_FILL_MODE_FULL, diag, N, dA.ptr_on_device(), lda, dx.ptr_on_device(), incx, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_ENUM, hipblasTrmvBatchedFn, (handle, uplo, transA, (hipblasDiagType_t)HIPBLAS_FILL_MODE_FULL, N, dA.ptr_on_device(), lda, dx.ptr_on_device(), incx, batch_count)); DAPI_EXPECT( HIPBLAS_STATUS_INVALID_VALUE, hipblasTrmvBatchedFn, (handle, uplo, transA, diag, N, nullptr, lda, dx.ptr_on_device(), incx, batch_count)); DAPI_EXPECT( HIPBLAS_STATUS_INVALID_VALUE, hipblasTrmvBatchedFn, (handle, uplo, transA, diag, N, dA.ptr_on_device(), lda, nullptr, incx, batch_count)); // With N == 0, can have all nullptrs DAPI_CHECK(hipblasTrmvBatchedFn, (handle, uplo, transA, diag, 0, nullptr, lda, nullptr, incx, batch_count)); DAPI_CHECK(hipblasTrmvBatchedFn, (handle, uplo, transA, diag, N, nullptr, lda, nullptr, incx, 0)); } } template void testing_trmv_batched(const Arguments& arg) { bool FORTRAN = arg.api == hipblas_client_api::FORTRAN; auto hipblasTrmvBatchedFn = FORTRAN ? hipblasTrmvBatched : hipblasTrmvBatched; auto hipblasTrmvBatchedFn_64 = arg.api == FORTRAN_64 ? hipblasTrmvBatched_64 : hipblasTrmvBatched_64; hipblasFillMode_t uplo = char2hipblas_fill(arg.uplo); hipblasOperation_t transA = char2hipblas_operation(arg.transA); hipblasDiagType_t diag = char2hipblas_diagonal(arg.diag); int64_t N = arg.N; int64_t lda = arg.lda; int64_t incx = arg.incx; int64_t batch_count = arg.batch_count; size_t abs_incx = incx >= 0 ? incx : -incx; size_t A_size = lda * N; hipblasLocalHandle handle(arg); // argument sanity check, quick return if input parameters are invalid before allocating invalid // memory bool invalid_size = N < 0 || lda < N || lda < 1 || !incx || batch_count < 0; if(invalid_size || !N || !batch_count) { DAPI_EXPECT(invalid_size ? HIPBLAS_STATUS_INVALID_VALUE : HIPBLAS_STATUS_SUCCESS, hipblasTrmvBatchedFn, (handle, uplo, transA, diag, N, nullptr, lda, nullptr, incx, batch_count)); return; } double hipblas_error{0}; // Naming: `h` is in CPU (host) memory(eg hA), `d` is in GPU (device) memory (eg dA). // Allocate host memory host_batch_matrix hA(N, N, lda, batch_count); host_batch_vector hx(N, incx, batch_count); host_batch_vector hres(N, incx, batch_count); // Check host memory allocation CHECK_HIP_ERROR(hA.memcheck()); CHECK_HIP_ERROR(hx.memcheck()); CHECK_HIP_ERROR(hres.memcheck()); // Allocate device memory device_batch_matrix dA(N, N, lda, batch_count); device_batch_vector dx(N, incx, batch_count); // Check device memory allocation CHECK_DEVICE_ALLOCATION(dA.memcheck()); CHECK_DEVICE_ALLOCATION(dx.memcheck()); // Initial Data on CPU hipblas_init_matrix( hA, arg, hipblas_client_never_set_nan, hipblas_triangular_matrix, true, false); hipblas_init_vector(hx, arg, hipblas_client_never_set_nan, false, true); // copy vector hres.copy_from(hx); CHECK_HIP_ERROR(dA.transfer_from(hA)); CHECK_HIP_ERROR(dx.transfer_from(hx)); if(arg.unit_check || arg.norm_check) { /* ===================================================================== HIPBLAS =================================================================== */ DAPI_CHECK(hipblasTrmvBatchedFn, (handle, uplo, transA, diag, N, dA.ptr_on_device(), lda, dx.ptr_on_device(), incx, batch_count)); CHECK_HIP_ERROR(hres.transfer_from(dx)); /* ===================================================================== CPU BLAS =================================================================== */ for(size_t b = 0; b < batch_count; b++) { ref_trmv(uplo, transA, diag, N, hA[b], lda, hx[b], incx); } // enable unit check, notice unit check is not invasive, but norm check is, // unit check and norm check can not be interchanged their order if(arg.unit_check) { unit_check_general(1, N, batch_count, abs_incx, hx, hres); } if(arg.norm_check) { hipblas_error = norm_check_general('F', 1, N, abs_incx, hx, hres, batch_count); } } if(arg.timing) { double gpu_time_used{0}; hipStream_t stream; CHECK_HIPBLAS_ERROR(hipblasGetStream(handle, &stream)); 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(hipblasTrmvBatchedFn, (handle, uplo, transA, diag, N, dA.ptr_on_device(), lda, dx.ptr_on_device(), incx, batch_count)); } gpu_time_used = get_time_us_sync(stream) - gpu_time_used; hipblasTrmvBatchedModel{}.log_args(std::cout, arg, gpu_time_used, trmv_gflop_count(N), trmv_gbyte_count(N), hipblas_error); } }