/* ************************************************************************ * 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 hipblasTbmvBatchedModel = ArgumentModel; inline void testname_tbmv_batched(const Arguments& arg, std::string& name) { hipblasTbmvBatchedModel{}.test_name(arg, name); } template void testing_tbmv_batched_bad_arg(const Arguments& arg) { bool FORTRAN = arg.api == hipblas_client_api::FORTRAN; auto hipblasTbmvBatchedFn = FORTRAN ? hipblasTbmvBatched : hipblasTbmvBatched; auto hipblasTbmvBatchedFn_64 = arg.api == FORTRAN_64 ? hipblasTbmvBatched_64 : hipblasTbmvBatched_64; for(auto pointer_mode : {HIPBLAS_POINTER_MODE_HOST, HIPBLAS_POINTER_MODE_DEVICE}) { hipblasLocalHandle handle(arg); CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, pointer_mode)); hipblasFillMode_t uplo = HIPBLAS_FILL_MODE_UPPER; hipblasOperation_t transA = HIPBLAS_OP_N; hipblasDiagType_t diag = HIPBLAS_DIAG_NON_UNIT; int64_t M = 100; int64_t K = 5; int64_t banded_matrix_row = K + 1; int64_t lda = 100; int64_t incx = 1; int64_t batch_count = 2; // Allocate device memory device_batch_matrix dAb(banded_matrix_row, M, lda, batch_count); device_batch_vector dx(M, incx, batch_count); DAPI_EXPECT(HIPBLAS_STATUS_NOT_INITIALIZED, hipblasTbmvBatchedFn, (nullptr, uplo, transA, diag, M, K, dAb.ptr_on_device(), lda, dx.ptr_on_device(), incx, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasTbmvBatchedFn, (handle, HIPBLAS_FILL_MODE_FULL, transA, diag, M, K, dAb.ptr_on_device(), lda, dx.ptr_on_device(), incx, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_ENUM, hipblasTbmvBatchedFn, (handle, (hipblasFillMode_t)HIPBLAS_OP_N, transA, diag, M, K, dAb.ptr_on_device(), lda, dx.ptr_on_device(), incx, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_ENUM, hipblasTbmvBatchedFn, (handle, uplo, (hipblasOperation_t)HIPBLAS_FILL_MODE_FULL, diag, M, K, dAb.ptr_on_device(), lda, dx.ptr_on_device(), incx, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_ENUM, hipblasTbmvBatchedFn, (handle, uplo, transA, (hipblasDiagType_t)HIPBLAS_FILL_MODE_FULL, M, K, dAb.ptr_on_device(), lda, dx.ptr_on_device(), incx, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasTbmvBatchedFn, (handle, uplo, transA, diag, M, K, nullptr, lda, dx.ptr_on_device(), incx, batch_count)); DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE, hipblasTbmvBatchedFn, (handle, uplo, transA, diag, M, K, dAb.ptr_on_device(), lda, nullptr, incx, batch_count)); // With M == 0, can have all nullptrs DAPI_CHECK(hipblasTbmvBatchedFn, (handle, uplo, transA, diag, 0, K, nullptr, lda, nullptr, incx, batch_count)); DAPI_CHECK(hipblasTbmvBatchedFn, (handle, uplo, transA, diag, M, K, nullptr, lda, nullptr, incx, 0)); } } template void testing_tbmv_batched(const Arguments& arg) { bool FORTRAN = arg.api == hipblas_client_api::FORTRAN; auto hipblasTbmvBatchedFn = FORTRAN ? hipblasTbmvBatched : hipblasTbmvBatched; auto hipblasTbmvBatchedFn_64 = arg.api == FORTRAN_64 ? hipblasTbmvBatched_64 : hipblasTbmvBatched_64; hipblasFillMode_t uplo = char2hipblas_fill(arg.uplo); hipblasOperation_t transA = char2hipblas_operation(arg.transA); hipblasDiagType_t diag = char2hipblas_diagonal(arg.diag); int64_t M = arg.M; int64_t K = arg.K; int64_t lda = arg.lda; int64_t incx = arg.incx; int64_t batch_count = arg.batch_count; const int64_t banded_matrix_row = K + 1; size_t abs_incx = incx >= 0 ? incx : -incx; hipblasStatus_t status = HIPBLAS_STATUS_SUCCESS; hipblasLocalHandle handle(arg); // argument sanity check, quick return if input parameters are invalid before allocating invalid // memory bool invalid_size = M < 0 || K < 0 || lda < banded_matrix_row || !incx || batch_count < 0; if(invalid_size || !M || !batch_count) { DAPI_EXPECT(invalid_size ? HIPBLAS_STATUS_INVALID_VALUE : HIPBLAS_STATUS_SUCCESS, hipblasTbmvBatchedFn, (handle, uplo, transA, diag, M, K, nullptr, lda, nullptr, incx, batch_count)); return; } double hipblas_error{0}; // Naming: `h` is in CPU (host) memory(eg hAb), `d` is in GPU (device) memory (eg dAb). // Allocate host memory host_batch_matrix hAb(banded_matrix_row, M, lda, batch_count); host_batch_vector hx(M, incx, batch_count); host_batch_vector hx_cpu(M, incx, batch_count); host_batch_vector hx_res(M, incx, batch_count); // Check host memory allocation CHECK_HIP_ERROR(hAb.memcheck()); CHECK_HIP_ERROR(hx.memcheck()); CHECK_HIP_ERROR(hx_cpu.memcheck()); CHECK_HIP_ERROR(hx_res.memcheck()); // Allocate device memory device_batch_matrix dAb(banded_matrix_row, M, lda, batch_count); device_batch_vector dx(M, incx, batch_count); // Check device memory allocation CHECK_DEVICE_ALLOCATION(dx.memcheck()); CHECK_DEVICE_ALLOCATION(dAb.memcheck()); // Initial Data on CPU hipblas_init_matrix( hAb, arg, hipblas_client_never_set_nan, hipblas_general_matrix, true, false); hipblas_init_vector(hx, arg, hipblas_client_never_set_nan, false, true); // copy vector hx_cpu.copy_from(hx); // copy data from CPU to device CHECK_HIP_ERROR(dx.transfer_from(hx)); CHECK_HIP_ERROR(dAb.transfer_from(hAb)); if(arg.unit_check || arg.norm_check) { /* ===================================================================== HIPBLAS =================================================================== */ DAPI_CHECK(hipblasTbmvBatchedFn, (handle, uplo, transA, diag, M, K, dAb.ptr_on_device(), lda, dx.ptr_on_device(), incx, batch_count)); CHECK_HIP_ERROR(hx_res.transfer_from(dx)); /* ===================================================================== CPU BLAS =================================================================== */ for(size_t b = 0; b < batch_count; b++) { ref_tbmv(uplo, transA, diag, M, K, hAb[b], lda, hx_cpu[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, M, batch_count, abs_incx, hx_cpu, hx_res); } if(arg.norm_check) { hipblas_error = norm_check_general('F', 1, M, abs_incx, hx_cpu, hx_res, batch_count); } } if(arg.timing) { double gpu_time_used{0}; CHECK_HIP_ERROR(dx.transfer_from(hx)); 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(hipblasTbmvBatchedFn, (handle, uplo, transA, diag, M, K, dAb.ptr_on_device(), lda, dx.ptr_on_device(), incx, batch_count)); } gpu_time_used = get_time_us_sync(stream) - gpu_time_used; hipblasTbmvBatchedModel{}.log_args(std::cout, arg, gpu_time_used, tbmv_gflop_count(M, K), tbmv_gbyte_count(M, K), hipblas_error); } }