/* ************************************************************************ * Copyright (C) 2016-2025 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 cop- * ies 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 IM- * PLIED, 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 CONNE- * CTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. * * ************************************************************************ */ #pragma once #include "testing_common.hpp" template void testing_tbsv_batched_bad_arg(const Arguments& arg) { auto rocblas_tbsv_batched_fn = arg.api & c_API_FORTRAN ? rocblas_tbsv_batched : rocblas_tbsv_batched; auto rocblas_tbsv_batched_fn_64 = arg.api & c_API_FORTRAN ? rocblas_tbsv_batched_64 : rocblas_tbsv_batched_64; const int64_t N = 100; const int64_t K = 5; const int64_t lda = 100; const int64_t incx = 1; const int64_t batch_count = 5; const int64_t banded_matrix_row = K + 1; const rocblas_operation transA = rocblas_operation_none; const rocblas_fill uplo = rocblas_fill_lower; const rocblas_diagonal diag = rocblas_diagonal_non_unit; rocblas_local_handle handle{arg}; // Allocate device memory DEVICE_MEMCHECK(device_batch_matrix, dA, (banded_matrix_row, N, lda, batch_count)); DEVICE_MEMCHECK(device_batch_vector, dx, (N, incx, batch_count)); // // Checks. // DAPI_EXPECT(rocblas_status_invalid_handle, rocblas_tbsv_batched_fn, (nullptr, uplo, transA, diag, N, K, dA.ptr_on_device(), lda, dx.ptr_on_device(), incx, batch_count)); DAPI_EXPECT(rocblas_status_invalid_value, rocblas_tbsv_batched_fn, (handle, rocblas_fill_full, transA, diag, N, K, dA.ptr_on_device(), lda, dx.ptr_on_device(), incx, batch_count)); DAPI_EXPECT( rocblas_status_invalid_pointer, rocblas_tbsv_batched_fn, (handle, uplo, transA, diag, N, K, nullptr, lda, dx.ptr_on_device(), incx, batch_count)); DAPI_EXPECT( rocblas_status_invalid_pointer, rocblas_tbsv_batched_fn, (handle, uplo, transA, diag, N, K, dA.ptr_on_device(), lda, nullptr, incx, batch_count)); } template void testing_tbsv_batched(const Arguments& arg) { auto rocblas_tbsv_batched_fn = arg.api & c_API_FORTRAN ? rocblas_tbsv_batched : rocblas_tbsv_batched; auto rocblas_tbsv_batched_fn_64 = arg.api & c_API_FORTRAN ? rocblas_tbsv_batched_64 : rocblas_tbsv_batched_64; int64_t N = arg.N; 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; char char_uplo = arg.uplo; char char_transA = arg.transA; char char_diag = arg.diag; rocblas_fill uplo = char2rocblas_fill(char_uplo); rocblas_operation transA = char2rocblas_operation(char_transA); rocblas_diagonal diag = char2rocblas_diagonal(char_diag); rocblas_status status; rocblas_local_handle handle{arg}; // check here to prevent undefined memory allocation error bool invalid_size = N < 0 || K < 0 || lda < banded_matrix_row || !incx || batch_count < 0; if(invalid_size || !N || !batch_count) { DAPI_EXPECT(invalid_size ? rocblas_status_invalid_size : rocblas_status_success, rocblas_tbsv_batched_fn, (handle, uplo, transA, diag, N, K, nullptr, lda, nullptr, incx, batch_count)); return; } // Naming: `h` is in CPU (host) memory(eg hAb), `d` is in GPU (device) memory (eg dAb). // Allocate host memory HOST_MEMCHECK(host_batch_matrix, hA, (N, N, N, batch_count)); HOST_MEMCHECK(host_batch_matrix, hAb, (banded_matrix_row, N, lda, batch_count)); HOST_MEMCHECK(host_batch_vector, hb, (N, incx, batch_count)); HOST_MEMCHECK(host_batch_vector, hx, (N, incx, batch_count)); HOST_MEMCHECK(host_batch_vector, hx_or_b, (N, incx, batch_count)); HOST_MEMCHECK(host_batch_vector, cpu_x_or_b, (N, incx, batch_count)); // Allocate device memory DEVICE_MEMCHECK(device_batch_matrix, dAb, (banded_matrix_row, N, lda, batch_count)); DEVICE_MEMCHECK(device_batch_vector, dx_or_b, (N, incx, batch_count)); // Initialize data on host memory rocblas_init_matrix(hA, arg, rocblas_client_never_set_nan, rocblas_client_diagonally_dominant_triangular_matrix, true); rocblas_init_vector(hx, arg, rocblas_client_never_set_nan, false, true); // Make hA a banded matrix with k sub/super-diagonals banded_matrix_setup(uplo == rocblas_fill_upper, hA, K); if(diag == rocblas_diagonal_unit) { make_unit_diagonal(uplo, hA); } // Convert regular-storage hA to banded-storage hAb regular_to_banded(uplo == rocblas_fill_upper, hA, hAb, K); CHECK_HIP_ERROR(dAb.transfer_from(hAb)); hb.copy_from(hx); // Calculate hb = hA*hx; for(size_t b = 0; b < batch_count; b++) { ref_tbmv(uplo, transA, diag, N, K, hAb[b], lda, hb[b], incx); } cpu_x_or_b.copy_from(hb); hx_or_b.copy_from(hb); double max_err = 0.0; double max_err_res = 0.0; double error_eps_multiplier = 40.0; double residual_eps_multiplier = 40.0; double eps = std::numeric_limits>::epsilon(); if(arg.unit_check || arg.norm_check) { // calculate dxorb <- A^(-1) b CHECK_HIP_ERROR(dx_or_b.transfer_from(hx_or_b)); handle.pre_test(arg); DAPI_CHECK(rocblas_tbsv_batched_fn, (handle, uplo, transA, diag, N, K, dAb.ptr_on_device(), lda, dx_or_b.ptr_on_device(), incx, batch_count)); handle.post_test(arg); CHECK_HIP_ERROR(hx_or_b.transfer_from(dx_or_b)); if(arg.repeatability_check) { HOST_MEMCHECK(host_batch_vector, hx_or_b_copy, (N, incx, batch_count)); // multi-GPU support int device_id, device_count; CHECK_HIP_ERROR(limit_device_count(device_count, (int)arg.devices)); for(int dev_id = 0; dev_id < device_count; dev_id++) { CHECK_HIP_ERROR(hipGetDevice(&device_id)); if(device_id != dev_id) CHECK_HIP_ERROR(hipSetDevice(dev_id)); //New rocblas handle for new device rocblas_local_handle handle_copy{arg}; // Allocate device memory DEVICE_MEMCHECK( device_batch_matrix, dAb_copy, (banded_matrix_row, N, lda, batch_count)); DEVICE_MEMCHECK(device_batch_vector, dx_or_b_copy, (N, incx, batch_count)); CHECK_HIP_ERROR(dAb_copy.transfer_from(hAb)); CHECK_ROCBLAS_ERROR( rocblas_set_pointer_mode(handle_copy, rocblas_pointer_mode_device)); for(int runs = 0; runs < arg.iters; runs++) { CHECK_HIP_ERROR(dx_or_b_copy.transfer_from(hb)); DAPI_CHECK(rocblas_tbsv_batched_fn, (handle_copy, uplo, transA, diag, N, K, dAb_copy.ptr_on_device(), lda, dx_or_b_copy.ptr_on_device(), incx, batch_count)); CHECK_HIP_ERROR(hx_or_b_copy.transfer_from(dx_or_b_copy)); unit_check_general(1, N, incx, hx_or_b, hx_or_b_copy, batch_count); } } return; } //computed result is in hx_or_b, so forward error is E = hx - hx_or_b // calculate norm 1 of vector E max_err = rocblas_abs(vector_norm_1(N, incx, hx, hx_or_b)); if(arg.unit_check) trsm_err_res_check(max_err, N, error_eps_multiplier, eps); // hx_or_b contains A * (calculated X), so res = A * (calculated x) - b = hx_or_b - hb for(size_t b = 0; b < batch_count; b++) { ref_tbmv(uplo, transA, diag, N, K, hAb[b], lda, hx_or_b[b], incx); } //calculate norm 1 of res max_err_res = rocblas_abs(vector_norm_1(N, incx, hx_or_b, hb)); if(arg.unit_check) trsm_err_res_check(max_err_res, N, residual_eps_multiplier, eps); } if(arg.timing) { double gpu_time_used, cpu_time_used = 0.0; int number_cold_calls = arg.cold_iters; int total_calls = number_cold_calls + arg.iters; hipStream_t stream; CHECK_ROCBLAS_ERROR(rocblas_get_stream(handle, &stream)); for(int iter = 0; iter < total_calls; iter++) { if(iter == number_cold_calls) gpu_time_used = get_time_us_sync(stream); DAPI_DISPATCH(rocblas_tbsv_batched_fn, (handle, uplo, transA, diag, N, K, dAb.ptr_on_device(), lda, dx_or_b.ptr_on_device(), incx, batch_count)); } gpu_time_used = get_time_us_sync(stream) - gpu_time_used; // in microseconds if(arg.unit_check || arg.norm_check) { // CPU cblas cpu_time_used = get_time_us_no_sync(); if(arg.norm_check) for(size_t b = 0; b < batch_count; b++) ref_tbsv(uplo, transA, diag, N, K, hAb[b], lda, cpu_x_or_b[b], incx); cpu_time_used = get_time_us_no_sync() - cpu_time_used; } ArgumentModel{} .log_args(rocblas_cout, arg, gpu_time_used, tbsv_gflop_count(N, K), ArgumentLogging::NA_value, cpu_time_used, max_err, max_err_res); } }