/* ************************************************************************** * Copyright (C) 2020-2025 Advanced Micro Devices, Inc. All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * 1. Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE * ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS * OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) * HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY * OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF * SUCH DAMAGE. * *************************************************************************/ #pragma once #include "common/misc/client_util.hpp" #include "common/misc/clientcommon.hpp" #include "common/misc/lapack_host_reference.hpp" #include "common/misc/norm.hpp" #include "common/misc/rocsolver.hpp" #include "common/misc/rocsolver_arguments.hpp" #include "common/misc/rocsolver_test.hpp" #include "common/misc/rocsolver_timer.hpp" template void sygvx_hegvx_checkBadArgs(const rocblas_handle handle, const rocblas_eform itype, const rocblas_evect evect, const rocblas_erange erange, const rocblas_fill uplo, const rocblas_int n, T dA, const rocblas_int lda, const rocblas_stride stA, T dB, const rocblas_int ldb, const rocblas_stride stB, const S vl, const S vu, const rocblas_int il, const rocblas_int iu, const S abstol, rocblas_int* dNev, U dW, const rocblas_stride stW, T dZ, const rocblas_int ldz, const rocblas_stride stZ, rocblas_int* dIfail, const rocblas_stride stF, rocblas_int* dInfo, const rocblas_int bc) { // handle EXPECT_ROCBLAS_STATUS(rocsolver_sygvx_hegvx(STRIDED, nullptr, itype, evect, erange, uplo, n, dA, lda, stA, dB, ldb, stB, vl, vu, il, iu, abstol, dNev, dW, stW, dZ, ldz, stZ, dIfail, stF, dInfo, bc), rocblas_status_invalid_handle); // values EXPECT_ROCBLAS_STATUS(rocsolver_sygvx_hegvx(STRIDED, handle, rocblas_eform(0), evect, erange, uplo, n, dA, lda, stA, dB, ldb, stB, vl, vu, il, iu, abstol, dNev, dW, stW, dZ, ldz, stZ, dIfail, stF, dInfo, bc), rocblas_status_invalid_value); EXPECT_ROCBLAS_STATUS(rocsolver_sygvx_hegvx(STRIDED, handle, itype, rocblas_evect_tridiagonal, erange, uplo, n, dA, lda, stA, dB, ldb, stB, vl, vu, il, iu, abstol, dNev, dW, stW, dZ, ldz, stZ, dIfail, stF, dInfo, bc), rocblas_status_invalid_value); EXPECT_ROCBLAS_STATUS(rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, rocblas_erange(0), uplo, n, dA, lda, stA, dB, ldb, stB, vl, vu, il, iu, abstol, dNev, dW, stW, dZ, ldz, stZ, dIfail, stF, dInfo, bc), rocblas_status_invalid_value); EXPECT_ROCBLAS_STATUS(rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, erange, rocblas_fill_full, n, dA, lda, stA, dB, ldb, stB, vl, vu, il, iu, abstol, dNev, dW, stW, dZ, ldz, stZ, dIfail, stF, dInfo, bc), rocblas_status_invalid_value); // sizes (only check batch_count if applicable) if(STRIDED) EXPECT_ROCBLAS_STATUS(rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, erange, uplo, n, dA, lda, stA, dB, ldb, stB, vl, vu, il, iu, abstol, dNev, dW, stW, dZ, ldz, stZ, dIfail, stF, dInfo, -1), rocblas_status_invalid_size); // pointers EXPECT_ROCBLAS_STATUS(rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, erange, uplo, n, (T) nullptr, lda, stA, dB, ldb, stB, vl, vu, il, iu, abstol, dNev, dW, stW, dZ, ldz, stZ, dIfail, stF, dInfo, bc), rocblas_status_invalid_pointer); EXPECT_ROCBLAS_STATUS(rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, erange, uplo, n, dA, lda, stA, (T) nullptr, ldb, stB, vl, vu, il, iu, abstol, dNev, dW, stW, dZ, ldz, stZ, dIfail, stF, dInfo, bc), rocblas_status_invalid_pointer); EXPECT_ROCBLAS_STATUS(rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, erange, uplo, n, dA, lda, stA, dB, ldb, stB, vl, vu, il, iu, abstol, (rocblas_int*)nullptr, dW, stW, dZ, ldz, stZ, dIfail, stF, dInfo, bc), rocblas_status_invalid_pointer); EXPECT_ROCBLAS_STATUS(rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, erange, uplo, n, dA, lda, stA, dB, ldb, stB, vl, vu, il, iu, abstol, dNev, (U) nullptr, stW, dZ, ldz, stZ, dIfail, stF, dInfo, bc), rocblas_status_invalid_pointer); EXPECT_ROCBLAS_STATUS(rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, erange, uplo, n, dA, lda, stA, dB, ldb, stB, vl, vu, il, iu, abstol, dNev, dW, stW, (T) nullptr, ldz, stZ, dIfail, stF, dInfo, bc), rocblas_status_invalid_pointer); EXPECT_ROCBLAS_STATUS(rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, erange, uplo, n, dA, lda, stA, dB, ldb, stB, vl, vu, il, iu, abstol, dNev, dW, stW, dZ, ldz, stZ, (rocblas_int*)nullptr, stF, dInfo, bc), rocblas_status_invalid_pointer); EXPECT_ROCBLAS_STATUS(rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, erange, uplo, n, dA, lda, stA, dB, ldb, stB, vl, vu, il, iu, abstol, dNev, dW, stW, dZ, ldz, stZ, dIfail, stF, (rocblas_int*)nullptr, bc), rocblas_status_invalid_pointer); // quick return with invalid pointers EXPECT_ROCBLAS_STATUS(rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, erange, uplo, 0, (T) nullptr, lda, stA, (T) nullptr, ldb, stB, vl, vu, il, iu, abstol, dNev, (U) nullptr, stW, (T) nullptr, ldz, stZ, (rocblas_int*)nullptr, stF, dInfo, bc), rocblas_status_success); // quick return with zero batch_count if applicable if(STRIDED) EXPECT_ROCBLAS_STATUS(rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, erange, uplo, n, dA, lda, stA, dB, ldb, stB, vl, vu, il, iu, abstol, (rocblas_int*)nullptr, dW, stW, dZ, ldz, stZ, dIfail, stF, (rocblas_int*)nullptr, 0), rocblas_status_success); } template void testing_sygvx_hegvx_bad_arg() { using S = decltype(std::real(T{})); // safe arguments rocblas_local_handle handle; rocblas_int n = 1; rocblas_int lda = 1; rocblas_int ldb = 1; rocblas_int ldz = 1; rocblas_stride stA = 1; rocblas_stride stB = 1; rocblas_stride stW = 1; rocblas_stride stZ = 1; rocblas_stride stF = 1; rocblas_int bc = 1; rocblas_eform itype = rocblas_eform_ax; rocblas_evect evect = rocblas_evect_original; rocblas_erange erange = rocblas_erange_value; rocblas_fill uplo = rocblas_fill_upper; S vl = 0.0; S vu = 1.0; rocblas_int il = 0; rocblas_int iu = 0; S abstol = 0; if(BATCHED) { // memory allocations device_batch_vector dA(1, 1, 1); device_batch_vector dB(1, 1, 1); device_batch_vector dZ(1, 1, 1); device_strided_batch_vector dW(1, 1, 1, 1); device_strided_batch_vector dNev(1, 1, 1, 1); device_strided_batch_vector dIfail(1, 1, 1, 1); device_strided_batch_vector dInfo(1, 1, 1, 1); CHECK_HIP_ERROR(dA.memcheck()); CHECK_HIP_ERROR(dB.memcheck()); CHECK_HIP_ERROR(dZ.memcheck()); CHECK_HIP_ERROR(dW.memcheck()); CHECK_HIP_ERROR(dNev.memcheck()); CHECK_HIP_ERROR(dIfail.memcheck()); CHECK_HIP_ERROR(dInfo.memcheck()); // check bad arguments sygvx_hegvx_checkBadArgs(handle, itype, evect, erange, uplo, n, dA.data(), lda, stA, dB.data(), ldb, stB, vl, vu, il, iu, abstol, dNev.data(), dW.data(), stW, dZ.data(), ldz, stZ, dIfail.data(), stF, dInfo.data(), bc); } else { // memory allocations device_strided_batch_vector dA(1, 1, 1, 1); device_strided_batch_vector dB(1, 1, 1, 1); device_strided_batch_vector dZ(1, 1, 1, 1); device_strided_batch_vector dW(1, 1, 1, 1); device_strided_batch_vector dNev(1, 1, 1, 1); device_strided_batch_vector dIfail(1, 1, 1, 1); device_strided_batch_vector dInfo(1, 1, 1, 1); CHECK_HIP_ERROR(dA.memcheck()); CHECK_HIP_ERROR(dB.memcheck()); CHECK_HIP_ERROR(dZ.memcheck()); CHECK_HIP_ERROR(dW.memcheck()); CHECK_HIP_ERROR(dNev.memcheck()); CHECK_HIP_ERROR(dIfail.memcheck()); CHECK_HIP_ERROR(dInfo.memcheck()); // check bad arguments sygvx_hegvx_checkBadArgs(handle, itype, evect, erange, uplo, n, dA.data(), lda, stA, dB.data(), ldb, stB, vl, vu, il, iu, abstol, dNev.data(), dW.data(), stW, dZ.data(), ldz, stZ, dIfail.data(), stF, dInfo.data(), bc); } } template void sygvx_hegvx_initData(const rocblas_handle handle, const rocblas_eform itype, const rocblas_evect evect, const rocblas_int n, Td& dA, const rocblas_int lda, const rocblas_stride stA, Td& dB, const rocblas_int ldb, const rocblas_stride stB, const rocblas_int bc, Th& hA, Th& hB, host_strided_batch_vector& A, host_strided_batch_vector& B, const bool test, const bool singular) { if(CPU) { rocblas_int info; rocblas_int ldu = n; host_strided_batch_vector U(n * n, 1, n * n, bc); rocblas_init(hA, true); rocblas_init(U, true); for(rocblas_int b = 0; b < bc; ++b) { // for testing purposes, we start with a reduced matrix M for the standard equivalent problem // with spectrum in a desired range (-20, 20). Then we construct the generalized pair // (A, B) from there. for(rocblas_int i = 0; i < n; i++) { // scale matrices and set hA = M (symmetric/hermitian), hB = U (upper triangular) for(rocblas_int j = i; j < n; j++) { if(i == j) { hA[b][i + j * lda] = std::real(hA[b][i + j * lda]) + 10; U[b][i + j * ldu] = std::real(U[b][i + j * ldu]) / 100 + 1; hB[b][i + j * ldb] = U[b][i + j * ldu]; } else { if(j == i + 1) { hA[b][i + j * lda] = (hA[b][i + j * lda] - 5) / 10; hA[b][j + i * lda] = sconj(hA[b][i + j * lda]); } else hA[b][j + i * lda] = hA[b][i + j * lda] = 0; U[b][i + j * ldu] = (U[b][i + j * ldu] - 5) / 100; hB[b][i + j * ldb] = U[b][i + j * ldu]; hB[b][j + i * ldb] = 0; U[b][j + i * ldu] = 0; } } if(i == n / 4 || i == n / 2 || i == n - 1 || i == n / 7 || i == n / 5 || i == n / 3) hA[b][i + i * lda] *= -1; } // form B = U' U T one = T(1); cpu_trmm(rocblas_side_left, rocblas_fill_upper, rocblas_operation_conjugate_transpose, rocblas_diagonal_non_unit, n, n, one, U[b], ldu, hB[b], ldb); if(singular && (b == bc / 4 || b == bc / 2 || b == bc - 1)) { // make some matrices B not positive definite // always the same elements for debugging purposes // the algorithm must detect the lower order of the principal minors <= 0 // in those matrices in the batch that are non positive definite rocblas_int i = n / 4 + b; i -= (i / n) * n; hB[b][i + i * ldb] = 0; i = n / 2 + b; i -= (i / n) * n; hB[b][i + i * ldb] = 0; i = n - 1 + b; i -= (i / n) * n; hB[b][i + i * ldb] = 0; } if(itype == rocblas_eform_ax) { // form A = U' M U cpu_trmm(rocblas_side_left, rocblas_fill_upper, rocblas_operation_conjugate_transpose, rocblas_diagonal_non_unit, n, n, one, U[b], ldu, hA[b], lda); cpu_trmm(rocblas_side_right, rocblas_fill_upper, rocblas_operation_none, rocblas_diagonal_non_unit, n, n, one, U[b], ldu, hA[b], lda); } else { // form A = inv(U) M inv(U') cpu_trsm(rocblas_side_left, rocblas_fill_upper, rocblas_operation_none, rocblas_diagonal_non_unit, n, n, one, U[b], ldu, hA[b], lda); cpu_trsm(rocblas_side_right, rocblas_fill_upper, rocblas_operation_conjugate_transpose, rocblas_diagonal_non_unit, n, n, one, U[b], ldu, hA[b], lda); } // store A and B for testing purposes if(test && evect != rocblas_evect_none) { for(rocblas_int i = 0; i < n; i++) { for(rocblas_int j = 0; j < n; j++) { if(itype != rocblas_eform_bax) { A[b][i + j * lda] = hA[b][i + j * lda]; B[b][i + j * ldb] = hB[b][i + j * ldb]; } else { A[b][i + j * lda] = hB[b][i + j * ldb]; B[b][i + j * ldb] = hA[b][i + j * lda]; } } } } } } if(GPU) { // now copy data to the GPU CHECK_HIP_ERROR(dA.transfer_from(hA)); CHECK_HIP_ERROR(dB.transfer_from(hB)); } } template void sygvx_hegvx_getError(const rocblas_handle handle, const rocblas_eform itype, const rocblas_evect evect, const rocblas_erange erange, const rocblas_fill uplo, const rocblas_int n, Td& dA, const rocblas_int lda, const rocblas_stride stA, Td& dB, const rocblas_int ldb, const rocblas_stride stB, const S vl, const S vu, const rocblas_int il, const rocblas_int iu, const S abstol, Vd& dNev, Ud& dW, const rocblas_stride stW, Td& dZ, const rocblas_int ldz, const rocblas_stride stZ, Vd& dIfail, const rocblas_stride stF, Vd& dInfo, const rocblas_int bc, Th& hA, Th& hB, Vh& hNev, Vh& hNevRes, Uh& hW, Uh& hWRes, Th& hZ, Th& hZRes, Vh& hIfail, Vh& hIfailRes, Vh& hInfo, Vh& hInfoRes, double* max_err, const bool singular, size_t& hashA, size_t& hashB, size_t& hashW, size_t& hashZ) { constexpr bool COMPLEX = rocblas_is_complex; int lwork = (COMPLEX ? 2 * n : 8 * n); int lrwork = (COMPLEX ? 7 * n : 0); int liwork = 5 * n; std::vector work(lwork); std::vector rwork(lrwork); std::vector iwork(liwork); host_strided_batch_vector A(lda * n, 1, lda * n, bc); host_strided_batch_vector B(ldb * n, 1, ldb * n, bc); // input data initialization sygvx_hegvx_initData(handle, itype, evect, n, dA, lda, stA, dB, ldb, stB, bc, hA, hB, A, B, true, singular); // hash inputs hashA = deterministic_hash(hA, bc); hashB = deterministic_hash(hB, bc); // execute computations // GPU lapack CHECK_ROCBLAS_ERROR(rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, erange, uplo, n, dA.data(), lda, stA, dB.data(), ldb, stB, vl, vu, il, iu, abstol, dNev.data(), dW.data(), stW, dZ.data(), ldz, stZ, dIfail.data(), stF, dInfo.data(), bc)); CHECK_HIP_ERROR(hNevRes.transfer_from(dNev)); CHECK_HIP_ERROR(hWRes.transfer_from(dW)); CHECK_HIP_ERROR(hInfoRes.transfer_from(dInfo)); if(evect != rocblas_evect_none) { CHECK_HIP_ERROR(hZRes.transfer_from(dZ)); CHECK_HIP_ERROR(hIfailRes.transfer_from(dIfail)); } // hash outputs hashW = deterministic_hash(hWRes, bc); if(evect != rocblas_evect_none) hashZ = deterministic_hash(hZRes, bc); // CPU lapack // abstol = 0 ensures max accuracy in rocsolver; for lapack we should use 2*safemin S atol = (abstol == 0) ? 2 * get_safemin() : abstol; for(rocblas_int b = 0; b < bc; ++b) { cpu_sygvx_hegvx(itype, evect, erange, uplo, n, hA[b], lda, hB[b], ldb, vl, vu, il, iu, atol, hNev[b], hW[b], hZ[b], ldz, work.data(), lwork, rwork.data(), iwork.data(), hIfail[b], hInfo[b]); } // (We expect the used input matrices to always converge. Testing // implicitly the equivalent non-converged matrix is very complicated and it boils // down to essentially run the algorithm again and until convergence is achieved. // We do test with indefinite matrices B). // check info for non-convergence and/or positive-definiteness *max_err = 0; for(rocblas_int b = 0; b < bc; ++b) { EXPECT_EQ(hInfo[b][0], hInfoRes[b][0]) << "where b = " << b; if(hInfo[b][0] != hInfoRes[b][0]) *max_err += 1; } // Check number of returned eigenvalues for(rocblas_int b = 0; b < bc; ++b) { EXPECT_EQ(hNev[b][0], hNevRes[b][0]) << "where b = " << b; if(hNev[b][0] != hNevRes[b][0]) *max_err += 1; } double err; for(rocblas_int b = 0; b < bc; ++b) { if(evect == rocblas_evect_none) { // only eigenvalues needed; can compare with LAPACK // error is ||hW - hWRes|| / ||hW|| // using frobenius norm if(hInfo[b][0] == 0) { err = norm_error('F', 1, hNev[b][0], 1, hW[b], hWRes[b]); *max_err = err > *max_err ? err : *max_err; } } else { // both eigenvalues and eigenvectors needed; need to implicitly test // eigenvectors due to non-uniqueness of eigenvectors under scaling if(hInfo[b][0] == 0) { // check ifail err = 0; for(int j = 0; j < hNev[b][0]; j++) { EXPECT_EQ(hIfailRes[b][j], 0) << "where b = " << b << ", j = " << j; if(hIfailRes[b][j] != 0) err++; } *max_err = err > *max_err ? err : *max_err; T alpha = 1; T beta = 0; // hZRes contains eigenvectors x // compute B*x (or A*x) and store in hB cpu_symm_hemm(rocblas_side_left, uplo, n, hNev[b][0], alpha, B[b], ldb, hZRes[b], ldz, beta, hB[b], ldb); if(itype == rocblas_eform_ax) { // problem is A*x = (lambda)*B*x // compute (1/lambda)*A*x and store in hA for(int j = 0; j < hNev[b][0]; j++) { alpha = T(1) / hWRes[b][j]; cpu_symv_hemv(uplo, n, alpha, A[b], lda, hZRes[b] + j * ldz, 1, beta, hA[b] + j * lda, 1); } // move B*x into hZRes for(rocblas_int i = 0; i < n; i++) for(rocblas_int j = 0; j < hNev[b][0]; j++) hZRes[b][i + j * ldz] = hB[b][i + j * ldb]; } else { // problem is A*B*x = (lambda)*x or B*A*x = (lambda)*x // compute (1/lambda)*A*B*x or (1/lambda)*B*A*x and store in hA for(int j = 0; j < hNev[b][0]; j++) { alpha = T(1) / hWRes[b][j]; cpu_symv_hemv(uplo, n, alpha, A[b], lda, hB[b] + j * ldb, 1, beta, hA[b] + j * lda, 1); } } // error is ||hA - hZRes|| / ||hA|| // using frobenius norm err = norm_error('F', n, hNev[b][0], lda, hA[b], hZRes[b], ldz); *max_err = err > *max_err ? err : *max_err; } else if(hInfo[b][0] <= n) { // check ifail err = 0; for(int j = 0; j < hInfo[b][0]; j++) { EXPECT_NE(hIfailRes[b][j], 0) << "where b = " << b << ", j = " << j; if(hIfailRes[b][j] == 0) err++; } *max_err = err > *max_err ? err : *max_err; } } } } template void sygvx_hegvx_getPerfData(const rocblas_handle handle, const rocblas_eform itype, const rocblas_evect evect, const rocblas_erange erange, const rocblas_fill uplo, const rocblas_int n, Td& dA, const rocblas_int lda, const rocblas_stride stA, Td& dB, const rocblas_int ldb, const rocblas_stride stB, const S vl, const S vu, const rocblas_int il, const rocblas_int iu, const S abstol, Vd& dNev, Ud& dW, const rocblas_stride stW, Td& dZ, const rocblas_int ldz, const rocblas_stride stZ, Vd& dIfail, const rocblas_stride stF, Vd& dInfo, const rocblas_int bc, Th& hA, Th& hB, Vh& hNev, Uh& hW, Th& hZ, Vh& hIfail, Vh& hInfo, double* gpu_time_used, double* cpu_time_used, const rocblas_int hot_calls, const int profile, const bool profile_kernels, const bool perf, const bool singular) { constexpr bool COMPLEX = rocblas_is_complex; int lwork = (COMPLEX ? 2 * n : 8 * n); int lrwork = (COMPLEX ? 7 * n : 0); int liwork = 5 * n; std::vector work(lwork); std::vector rwork(lrwork); std::vector iwork(liwork); host_strided_batch_vector A(1, 1, 1, 1); host_strided_batch_vector B(1, 1, 1, 1); // abstol = 0 ensures max accuracy in rocsolver; for lapack we should use 2*safemin S atol = (abstol == 0) ? 2 * get_safemin() : abstol; if(!perf) { sygvx_hegvx_initData(handle, itype, evect, n, dA, lda, stA, dB, ldb, stB, bc, hA, hB, A, B, false, singular); // cpu-lapack performance (only if not in perf mode) *cpu_time_used = get_time_us_no_sync(); for(rocblas_int b = 0; b < bc; ++b) { cpu_sygvx_hegvx(itype, evect, erange, uplo, n, hA[b], lda, hB[b], ldb, vl, vu, il, iu, atol, hNev[b], hW[b], hZ[b], ldz, work.data(), lwork, rwork.data(), iwork.data(), hIfail[b], hInfo[b]); } *cpu_time_used = get_time_us_no_sync() - *cpu_time_used; } sygvx_hegvx_initData(handle, itype, evect, n, dA, lda, stA, dB, ldb, stB, bc, hA, hB, A, B, false, singular); // cold calls for(int iter = 0; iter < 2; iter++) { sygvx_hegvx_initData(handle, itype, evect, n, dA, lda, stA, dB, ldb, stB, bc, hA, hB, A, B, false, singular); CHECK_ROCBLAS_ERROR(rocsolver_sygvx_hegvx( STRIDED, handle, itype, evect, erange, uplo, n, dA.data(), lda, stA, dB.data(), ldb, stB, vl, vu, il, iu, abstol, dNev.data(), dW.data(), stW, dZ.data(), ldz, stZ, dIfail.data(), stF, dInfo.data(), bc)); } // gpu-lapack performance hipStream_t stream; CHECK_ROCBLAS_ERROR(rocblas_get_stream(handle, &stream)); rocsolver_timer timer; if(profile > 0) { if(profile_kernels) rocsolver_log_set_layer_mode(rocblas_layer_mode_log_profile | rocblas_layer_mode_ex_log_kernel); else rocsolver_log_set_layer_mode(rocblas_layer_mode_log_profile); rocsolver_log_set_max_levels(profile); } for(rocblas_int iter = 0; iter < hot_calls; iter++) { sygvx_hegvx_initData(handle, itype, evect, n, dA, lda, stA, dB, ldb, stB, bc, hA, hB, A, B, false, singular); timer.start(stream); rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, erange, uplo, n, dA.data(), lda, stA, dB.data(), ldb, stB, vl, vu, il, iu, abstol, dNev.data(), dW.data(), stW, dZ.data(), ldz, stZ, dIfail.data(), stF, dInfo.data(), bc); timer.end(stream); } *gpu_time_used = timer.get_combined(); } template void testing_sygvx_hegvx(Arguments& argus) { using S = decltype(std::real(T{})); // get arguments rocblas_local_handle handle; char itypeC = argus.get("itype"); char evectC = argus.get("evect"); char erangeC = argus.get("erange"); char uploC = argus.get("uplo"); rocblas_int n = argus.get("n"); rocblas_int lda = argus.get("lda", n); rocblas_int ldb = argus.get("ldb", n); rocblas_int ldz = argus.get("ldz", n); rocblas_stride stA = argus.get("strideA", lda * n); rocblas_stride stB = argus.get("strideB", ldb * n); rocblas_stride stW = argus.get("strideW", n); rocblas_stride stF = argus.get("strideF", n); rocblas_stride stZ = argus.get("strideZ", ldz * n); S vl = S(argus.get("vl", 0)); S vu = S(argus.get("vu", erangeC == 'V' ? 1 : 0)); rocblas_int il = argus.get("il", erangeC == 'I' ? 1 : 0); rocblas_int iu = argus.get("iu", erangeC == 'I' ? 1 : 0); S abstol = S(argus.get("abstol", 0)); rocblas_eform itype = char2rocblas_eform(itypeC); rocblas_evect evect = char2rocblas_evect(evectC); rocblas_erange erange = char2rocblas_erange(erangeC); rocblas_fill uplo = char2rocblas_fill(uploC); rocblas_int bc = argus.batch_count; rocblas_int hot_calls = argus.iters; rocblas_stride stWRes = (argus.unit_check || argus.norm_check || argus.hash_check) ? stW : 0; rocblas_stride stZRes = (argus.unit_check || argus.norm_check || argus.hash_check) ? stZ : 0; rocblas_stride stFRes = (argus.unit_check || argus.norm_check || argus.hash_check) ? stF : 0; // check non-supported values if(uplo == rocblas_fill_full || evect == rocblas_evect_tridiagonal) { if(BATCHED) EXPECT_ROCBLAS_STATUS( rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, erange, uplo, n, (T* const*)nullptr, lda, stA, (T* const*)nullptr, ldb, stB, vl, vu, il, iu, abstol, (rocblas_int*)nullptr, (S*)nullptr, stW, (T* const*)nullptr, ldz, stZ, (rocblas_int*)nullptr, stF, (rocblas_int*)nullptr, bc), rocblas_status_invalid_value); else EXPECT_ROCBLAS_STATUS( rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, erange, uplo, n, (T*)nullptr, lda, stA, (T*)nullptr, ldb, stB, vl, vu, il, iu, abstol, (rocblas_int*)nullptr, (S*)nullptr, stW, (T*)nullptr, ldz, stZ, (rocblas_int*)nullptr, stF, (rocblas_int*)nullptr, bc), rocblas_status_invalid_value); if(argus.timing) rocsolver_bench_inform(inform_invalid_args); return; } // determine sizes size_t size_A = size_t(lda) * n; size_t size_B = size_t(ldb) * n; size_t size_W = size_t(n); size_t size_Z = size_t(ldz) * n; size_t size_ifail = size_W; double max_error = 0, gpu_time_used = 0, cpu_time_used = 0; size_t hashA = 0, hashB = 0, hashW = 0, hashZ = 0; size_t size_WRes = (argus.unit_check || argus.norm_check || argus.hash_check) ? size_W : 0; size_t size_ZRes = (argus.unit_check || argus.norm_check || argus.hash_check) ? size_Z : 0; size_t size_ifailRes = (argus.unit_check || argus.norm_check || argus.hash_check) ? size_ifail : 0; // check invalid sizes bool invalid_size = (n < 0 || lda < n || ldb < n || (evect != rocblas_evect_none && ldz < n) || bc < 0 || (erange == rocblas_erange_value && vl >= vu) || (erange == rocblas_erange_index && (il < 1 || iu < 0)) || (erange == rocblas_erange_index && (iu > n || (n > 0 && il > iu)))); if(invalid_size) { if(BATCHED) EXPECT_ROCBLAS_STATUS( rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, erange, uplo, n, (T* const*)nullptr, lda, stA, (T* const*)nullptr, ldb, stB, vl, vu, il, iu, abstol, (rocblas_int*)nullptr, (S*)nullptr, stW, (T* const*)nullptr, ldz, stZ, (rocblas_int*)nullptr, stF, (rocblas_int*)nullptr, bc), rocblas_status_invalid_size); else EXPECT_ROCBLAS_STATUS( rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, erange, uplo, n, (T*)nullptr, lda, stA, (T*)nullptr, ldb, stB, vl, vu, il, iu, abstol, (rocblas_int*)nullptr, (S*)nullptr, stW, (T*)nullptr, ldz, stZ, (rocblas_int*)nullptr, stF, (rocblas_int*)nullptr, bc), rocblas_status_invalid_size); if(argus.timing) rocsolver_bench_inform(inform_invalid_size); return; } // memory size query is necessary if(argus.mem_query) { CHECK_ROCBLAS_ERROR(rocblas_start_device_memory_size_query(handle)); if(BATCHED) CHECK_ALLOC_QUERY(rocsolver_sygvx_hegvx( STRIDED, handle, itype, evect, erange, uplo, n, (T* const*)nullptr, lda, stA, (T* const*)nullptr, ldb, stB, vl, vu, il, iu, abstol, (rocblas_int*)nullptr, (S*)nullptr, stW, (T* const*)nullptr, ldz, stZ, (rocblas_int*)nullptr, stF, (rocblas_int*)nullptr, bc)); else CHECK_ALLOC_QUERY(rocsolver_sygvx_hegvx( STRIDED, handle, itype, evect, erange, uplo, n, (T*)nullptr, lda, stA, (T*)nullptr, ldb, stB, vl, vu, il, iu, abstol, (rocblas_int*)nullptr, (S*)nullptr, stW, (T*)nullptr, ldz, stZ, (rocblas_int*)nullptr, stF, (rocblas_int*)nullptr, bc)); size_t size; CHECK_ROCBLAS_ERROR(rocblas_stop_device_memory_size_query(handle, &size)); rocsolver_bench_inform(inform_mem_query, size); return; } // memory allocations (all cases) // host host_strided_batch_vector hNev(1, 1, 1, bc); host_strided_batch_vector hNevRes(1, 1, 1, bc); host_strided_batch_vector hW(size_W, 1, stW, bc); host_strided_batch_vector hWRes(size_WRes, 1, stWRes, bc); host_strided_batch_vector hInfo(1, 1, 1, bc); host_strided_batch_vector hInfoRes(1, 1, 1, bc); host_strided_batch_vector hIfail(size_ifail, 1, stF, bc); host_strided_batch_vector hIfailRes(size_ifailRes, 1, stFRes, bc); // device device_strided_batch_vector dNev(1, 1, 1, bc); device_strided_batch_vector dW(size_W, 1, stW, bc); device_strided_batch_vector dInfo(1, 1, 1, bc); device_strided_batch_vector dIfail(size_ifail, 1, stF, bc); CHECK_HIP_ERROR(dNev.memcheck()); if(size_W) CHECK_HIP_ERROR(dW.memcheck()); CHECK_HIP_ERROR(dInfo.memcheck()); if(size_ifail) CHECK_HIP_ERROR(dIfail.memcheck()); if(BATCHED) { // memory allocations host_batch_vector hA(size_A, 1, bc); host_batch_vector hB(size_B, 1, bc); host_batch_vector hZ(size_Z, 1, bc); host_batch_vector hZRes(size_ZRes, 1, bc); device_batch_vector dA(size_A, 1, bc); device_batch_vector dB(size_B, 1, bc); device_batch_vector dZ(size_Z, 1, bc); if(size_A) CHECK_HIP_ERROR(dA.memcheck()); if(size_B) CHECK_HIP_ERROR(dB.memcheck()); if(size_Z) CHECK_HIP_ERROR(dZ.memcheck()); // check quick return if(n == 0 || bc == 0) { EXPECT_ROCBLAS_STATUS(rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, erange, uplo, n, dA.data(), lda, stA, dB.data(), ldb, stB, vl, vu, il, iu, abstol, dNev.data(), dW.data(), stW, dZ.data(), ldz, stZ, dIfail.data(), stF, dInfo.data(), bc), rocblas_status_success); if(argus.timing) rocsolver_bench_inform(inform_quick_return); return; } // check computations if(argus.unit_check || argus.norm_check || argus.hash_check) sygvx_hegvx_getError( handle, itype, evect, erange, uplo, n, dA, lda, stA, dB, ldb, stB, vl, vu, il, iu, abstol, dNev, dW, stW, dZ, ldz, stZ, dIfail, stF, dInfo, bc, hA, hB, hNev, hNevRes, hW, hWRes, hZ, hZRes, hIfail, hIfailRes, hInfo, hInfoRes, &max_error, argus.singular, hashA, hashB, hashW, hashZ); // collect performance data if(argus.timing && hot_calls > 0) sygvx_hegvx_getPerfData( handle, itype, evect, erange, uplo, n, dA, lda, stA, dB, ldb, stB, vl, vu, il, iu, abstol, dNev, dW, stW, dZ, ldz, stZ, dIfail, stF, dInfo, bc, hA, hB, hNev, hW, hZ, hIfail, hInfo, &gpu_time_used, &cpu_time_used, hot_calls, argus.profile, argus.profile_kernels, argus.perf, argus.singular); } else { // memory allocations host_strided_batch_vector hA(size_A, 1, stA, bc); host_strided_batch_vector hB(size_B, 1, stB, bc); host_strided_batch_vector hZ(size_Z, 1, stZ, bc); host_strided_batch_vector hZRes(size_ZRes, 1, stZRes, bc); device_strided_batch_vector dA(size_A, 1, stA, bc); device_strided_batch_vector dB(size_B, 1, stB, bc); device_strided_batch_vector dZ(size_Z, 1, stZ, bc); if(size_A) CHECK_HIP_ERROR(dA.memcheck()); if(size_B) CHECK_HIP_ERROR(dB.memcheck()); if(size_Z) CHECK_HIP_ERROR(dZ.memcheck()); // check quick return if(n == 0 || bc == 0) { EXPECT_ROCBLAS_STATUS(rocsolver_sygvx_hegvx(STRIDED, handle, itype, evect, erange, uplo, n, dA.data(), lda, stA, dB.data(), ldb, stB, vl, vu, il, iu, abstol, dNev.data(), dW.data(), stW, dZ.data(), ldz, stZ, dIfail.data(), stF, dInfo.data(), bc), rocblas_status_success); if(argus.timing) rocsolver_bench_inform(inform_quick_return); return; } // check computations if(argus.unit_check || argus.norm_check || argus.hash_check) sygvx_hegvx_getError( handle, itype, evect, erange, uplo, n, dA, lda, stA, dB, ldb, stB, vl, vu, il, iu, abstol, dNev, dW, stW, dZ, ldz, stZ, dIfail, stF, dInfo, bc, hA, hB, hNev, hNevRes, hW, hWRes, hZ, hZRes, hIfail, hIfailRes, hInfo, hInfoRes, &max_error, argus.singular, hashA, hashB, hashW, hashZ); // collect performance data if(argus.timing && hot_calls > 0) sygvx_hegvx_getPerfData( handle, itype, evect, erange, uplo, n, dA, lda, stA, dB, ldb, stB, vl, vu, il, iu, abstol, dNev, dW, stW, dZ, ldz, stZ, dIfail, stF, dInfo, bc, hA, hB, hNev, hW, hZ, hIfail, hInfo, &gpu_time_used, &cpu_time_used, hot_calls, argus.profile, argus.profile_kernels, argus.perf, argus.singular); } // validate results for rocsolver-test // using 2 * n * machine_precision as tolerance if(argus.unit_check) ROCSOLVER_TEST_CHECK(T, max_error, 2 * n); // output results for rocsolver-bench if(argus.timing) { if(!argus.perf) { rocsolver_bench_header("Arguments:"); if(BATCHED) { rocsolver_bench_output("itype", "evect", "erange", "uplo", "n", "lda", "ldb", "vl", "vu", "il", "iu", "abstol", "strideW", "ldz", "strideF", "batch_c"); rocsolver_bench_output(itypeC, evectC, erangeC, uploC, n, lda, ldb, vl, vu, il, iu, abstol, stW, ldz, stF, bc); } else if(STRIDED) { rocsolver_bench_output("itype", "evect", "erange", "uplo", "n", "lda", "ldb", "strideA", "strideB", "vl", "vu", "il", "iu", "abstol", "strideW", "ldz", "strideZ", "strideF", "batch_c"); rocsolver_bench_output(itypeC, evectC, erangeC, uploC, n, lda, ldb, stA, stB, vl, vu, il, iu, abstol, stW, ldz, stZ, stF, bc); } else { rocsolver_bench_output("itype", "evect", "erange", "uplo", "n", "lda", "ldb", "vl", "vu", "il", "iu", "abstol", "ldz"); rocsolver_bench_output(itypeC, evectC, erangeC, uploC, n, lda, ldb, vl, vu, il, iu, abstol, ldz); } rocsolver_bench_header("Results:"); if(argus.norm_check) { rocsolver_bench_output("cpu_time", "gpu_time", "error"); rocsolver_bench_output(cpu_time_used, gpu_time_used, max_error); } else { rocsolver_bench_output("cpu_time", "gpu_time"); rocsolver_bench_output(cpu_time_used, gpu_time_used); } rocsolver_bench_endl(); if(argus.hash_check) { rocsolver_bench_output("hash(A)", "hash(B)", "hash(W)", "hash(Z)"); rocsolver_bench_output(ROCSOLVER_FORMAT_HASH(hashA), ROCSOLVER_FORMAT_HASH(hashB), ROCSOLVER_FORMAT_HASH(hashW), ROCSOLVER_FORMAT_HASH(hashZ)); rocsolver_bench_endl(); } } else { if(argus.norm_check) rocsolver_bench_output(gpu_time_used, max_error); else rocsolver_bench_output(gpu_time_used); } } // ensure all arguments were consumed argus.validate_consumed(); } #define EXTERN_TESTING_SYGVX_HEGVX(...) \ extern template void testing_sygvx_hegvx<__VA_ARGS__>(Arguments&); INSTANTIATE(EXTERN_TESTING_SYGVX_HEGVX, FOREACH_MATRIX_DATA_LAYOUT, FOREACH_SCALAR_TYPE, APPLY_STAMP)