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543 lines
22 KiB
C++
543 lines
22 KiB
C++
/* **************************************************************************
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* Copyright (C) 2022-2025 Advanced Micro Devices, Inc. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* 1. Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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*
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* THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND
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* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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* ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
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* OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
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* HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
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* OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
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* SUCH DAMAGE.
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* *************************************************************************/
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#pragma once
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#include "common/misc/client_util.hpp"
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#include "common/misc/clientcommon.hpp"
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#include "common/misc/lapack_host_reference.hpp"
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#include "common/misc/norm.hpp"
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#include "common/misc/rocsolver.hpp"
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#include "common/misc/rocsolver_arguments.hpp"
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#include "common/misc/rocsolver_test.hpp"
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#include "common/misc/rocsolver_timer.hpp"
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template <typename T, typename U>
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void stebz_checkBadArgs(const rocblas_handle handle,
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const rocblas_erange erange,
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const rocblas_eorder eorder,
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const rocblas_int n,
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const T vl,
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const T vu,
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const rocblas_int il,
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const rocblas_int iu,
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const T abstol,
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U dD,
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U dE,
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rocblas_int* dnev,
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rocblas_int* dnsplit,
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U dW,
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rocblas_int* dIblock,
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rocblas_int* dIsplit,
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rocblas_int* dinfo)
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{
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// handle
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EXPECT_ROCBLAS_STATUS(rocsolver_stebz(nullptr, erange, eorder, n, vl, vu, il, iu, abstol, dD,
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dE, dnev, dnsplit, dW, dIblock, dIsplit, dinfo),
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rocblas_status_invalid_handle);
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// values
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EXPECT_ROCBLAS_STATUS(rocsolver_stebz(handle, rocblas_erange(0), eorder, n, vl, vu, il, iu,
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abstol, dD, dE, dnev, dnsplit, dW, dIblock, dIsplit, dinfo),
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rocblas_status_invalid_value);
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EXPECT_ROCBLAS_STATUS(rocsolver_stebz(handle, erange, rocblas_eorder(0), n, vl, vu, il, iu,
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abstol, dD, dE, dnev, dnsplit, dW, dIblock, dIsplit, dinfo),
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rocblas_status_invalid_value);
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// pointers
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EXPECT_ROCBLAS_STATUS(rocsolver_stebz(handle, erange, eorder, n, vl, vu, il, iu, abstol,
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(U) nullptr, dE, dnev, dnsplit, dW, dIblock, dIsplit, dinfo),
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rocblas_status_invalid_pointer);
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EXPECT_ROCBLAS_STATUS(rocsolver_stebz(handle, erange, eorder, n, vl, vu, il, iu, abstol, dD,
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(U) nullptr, dnev, dnsplit, dW, dIblock, dIsplit, dinfo),
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rocblas_status_invalid_pointer);
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EXPECT_ROCBLAS_STATUS(rocsolver_stebz(handle, erange, eorder, n, vl, vu, il, iu, abstol, dD, dE,
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(rocblas_int*)nullptr, dnsplit, dW, dIblock, dIsplit, dinfo),
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rocblas_status_invalid_pointer);
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EXPECT_ROCBLAS_STATUS(rocsolver_stebz(handle, erange, eorder, n, vl, vu, il, iu, abstol, dD, dE,
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dnev, (rocblas_int*)nullptr, dW, dIblock, dIsplit, dinfo),
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rocblas_status_invalid_pointer);
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EXPECT_ROCBLAS_STATUS(rocsolver_stebz(handle, erange, eorder, n, vl, vu, il, iu, abstol, dD, dE,
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dnev, dnsplit, (U) nullptr, dIblock, dIsplit, dinfo),
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rocblas_status_invalid_pointer);
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EXPECT_ROCBLAS_STATUS(rocsolver_stebz(handle, erange, eorder, n, vl, vu, il, iu, abstol, dD, dE,
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dnev, dnsplit, dW, (rocblas_int*)nullptr, dIsplit, dinfo),
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rocblas_status_invalid_pointer);
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EXPECT_ROCBLAS_STATUS(rocsolver_stebz(handle, erange, eorder, n, vl, vu, il, iu, abstol, dD, dE,
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dnev, dnsplit, dW, dIblock, (rocblas_int*)nullptr, dinfo),
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rocblas_status_invalid_pointer);
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EXPECT_ROCBLAS_STATUS(rocsolver_stebz(handle, erange, eorder, n, vl, vu, il, iu, abstol, dD, dE,
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dnev, dnsplit, dW, dIblock, dIsplit, (rocblas_int*)nullptr),
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rocblas_status_invalid_pointer);
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// quick return with invalid pointers
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EXPECT_ROCBLAS_STATUS(rocsolver_stebz(handle, erange, eorder, 0, vl, vu, il, iu, abstol,
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(U) nullptr, (U) nullptr, dnev, dnsplit, (U) nullptr,
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(rocblas_int*)nullptr, (rocblas_int*)nullptr, dinfo),
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rocblas_status_success);
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}
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template <typename T>
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void testing_stebz_bad_arg()
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{
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// safe arguments
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rocblas_local_handle handle;
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rocblas_int n = 2;
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rocblas_erange erange = rocblas_erange_all;
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rocblas_eorder eorder = rocblas_eorder_entire;
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T vl = 0;
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T vu = 0;
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rocblas_int il = 0;
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rocblas_int iu = 0;
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T abstol = 0;
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// memory allocations
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device_strided_batch_vector<T> dD(1, 1, 1, 1);
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device_strided_batch_vector<T> dE(1, 1, 1, 1);
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device_strided_batch_vector<T> dW(1, 1, 1, 1);
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device_strided_batch_vector<rocblas_int> dnev(1, 1, 1, 1);
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device_strided_batch_vector<rocblas_int> dnsplit(1, 1, 1, 1);
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device_strided_batch_vector<rocblas_int> dIblock(1, 1, 1, 1);
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device_strided_batch_vector<rocblas_int> dIsplit(1, 1, 1, 1);
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device_strided_batch_vector<rocblas_int> dinfo(1, 1, 1, 1);
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CHECK_HIP_ERROR(dD.memcheck());
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CHECK_HIP_ERROR(dE.memcheck());
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CHECK_HIP_ERROR(dW.memcheck());
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CHECK_HIP_ERROR(dnev.memcheck());
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CHECK_HIP_ERROR(dnsplit.memcheck());
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CHECK_HIP_ERROR(dIblock.memcheck());
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CHECK_HIP_ERROR(dIsplit.memcheck());
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CHECK_HIP_ERROR(dinfo.memcheck());
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// check bad arguments
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stebz_checkBadArgs(handle, erange, eorder, n, vl, vu, il, iu, abstol, dD.data(), dE.data(),
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dnev.data(), dnsplit.data(), dW.data(), dIblock.data(), dIsplit.data(),
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dinfo.data());
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}
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template <bool CPU, bool GPU, typename T, typename Td, typename Th>
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void stebz_initData(const rocblas_handle handle, const rocblas_int n, Td& dD, Td& dE, Th& hD, Th& hE)
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{
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if(CPU)
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{
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rocblas_init<T>(hD, true);
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rocblas_init<T>(hE, true);
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// scale matrix and add fixed splits in the matrix to test split handling
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// (scaling ensures that all eigenvalues are in [-20, 20])
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for(rocblas_int i = 0; i < n; i++)
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{
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hD[0][i] += 10;
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hE[0][i] = (hE[0][i] - 5) / 10;
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if(i == n / 4 || i == n / 2 || i == n - 1)
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hE[0][i] = 0;
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if(i == n / 7 || i == n / 5 || i == n / 3)
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hD[0][i] *= -1;
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}
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}
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if(GPU)
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{
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// now copy to the GPU
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CHECK_HIP_ERROR(dD.transfer_from(hD));
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CHECK_HIP_ERROR(dE.transfer_from(hE));
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}
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}
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template <typename T, typename Td, typename Ud, typename Th, typename Uh>
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void stebz_getError(const rocblas_handle handle,
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const rocblas_erange erange,
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const rocblas_eorder eorder,
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const rocblas_int n,
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const T vl,
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const T vu,
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const rocblas_int il,
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const rocblas_int iu,
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const T abstol,
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Td& dD,
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Td& dE,
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Ud& dnev,
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Ud& dnsplit,
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Td& dW,
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Ud& dIblock,
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Ud& dIsplit,
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Ud& dinfo,
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Th& hD,
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Th& hE,
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Uh& hnev,
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Uh& hnevRes,
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Uh& hnsplit,
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Uh& hnsplitRes,
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Th& hW,
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Th& hWRes,
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Uh& hIblock,
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Uh& hIblockRes,
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Uh& hIsplit,
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Uh& hIsplitRes,
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Uh& hinfo,
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Uh& hinfoRes,
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double* max_err)
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{
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std::vector<T> work(4 * n);
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std::vector<int> iwork(3 * n);
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// input data initialization
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stebz_initData<true, true, T>(handle, n, dD, dE, hD, hE);
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// execute computations
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// GPU lapack
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CHECK_ROCBLAS_ERROR(rocsolver_stebz(handle, erange, eorder, n, vl, vu, il, iu, abstol,
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dD.data(), dE.data(), dnev.data(), dnsplit.data(),
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dW.data(), dIblock.data(), dIsplit.data(), dinfo.data()));
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CHECK_HIP_ERROR(hnevRes.transfer_from(dnev));
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CHECK_HIP_ERROR(hnsplitRes.transfer_from(dnsplit));
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CHECK_HIP_ERROR(hWRes.transfer_from(dW));
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CHECK_HIP_ERROR(hIblockRes.transfer_from(dIblock));
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CHECK_HIP_ERROR(hIsplitRes.transfer_from(dIsplit));
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CHECK_HIP_ERROR(hinfoRes.transfer_from(dinfo));
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// CPU lapack
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// abstol = 0 ensures max accuracy in rocsolver; for lapack we should use 2*safemin
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T atol = (abstol == 0) ? 2 * get_safemin<T>() : abstol;
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cpu_stebz(erange, eorder, n, vl, vu, il, iu, atol, hD[0], hE[0], hnev[0], hnsplit[0], hW[0],
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hIblock[0], hIsplit[0], work.data(), iwork.data(), hinfo[0]);
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// check info
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EXPECT_EQ(hinfo[0][0], hinfoRes[0][0]);
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if(hinfo[0][0] != hinfoRes[0][0])
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*max_err = 1;
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else
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*max_err = 0;
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// check number of split blocks
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rocblas_int ns = hnsplit[0][0];
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*max_err += std::abs(ns - hnsplitRes[0][0]);
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EXPECT_EQ(hnsplit[0][0], hnsplitRes[0][0]);
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// check split blocks limits
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for(int k = 0; k < ns; ++k)
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{
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*max_err += std::abs(hIsplit[0][k] - hIsplitRes[0][k]);
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EXPECT_EQ(hIsplit[0][k], hIsplitRes[0][k]) << "where k = " << k;
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}
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// if finding eigenvalues succeded, check values
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if(hinfo[0][0] == 0)
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{
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// check number of computed eigenvalues
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rocblas_int nn = hnev[0][0];
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*max_err += std::abs(nn - hnevRes[0][0]);
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EXPECT_EQ(hnev[0][0], hnevRes[0][0]);
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// check block indices
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// (note: as very close eigenvalues could be considered to belong to different
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// blocks by the CPU and GPU algorithms, only check the block index of distinguishable
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// eigenvalues)
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for(int k = 0; k < nn; ++k)
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{
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int difb = std::abs(hIblock[0][k] - hIblockRes[0][k]);
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T difv = std::abs(hW[0][k] - hWRes[0][k]) / hW[0][k];
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if(difv > n * get_epsilon<T>())
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{
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EXPECT_EQ(hIblock[0][k], hIblockRes[0][k]) << "where k = " << k;
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if(difb > 0)
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*max_err += difb;
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}
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}
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// error is ||hW - hWRes|| / ||hW||
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// using frobenius norm
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double err = norm_error('F', 1, nn, 1, hW[0], hWRes[0]);
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*max_err = err > *max_err ? err : *max_err;
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}
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}
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template <typename T, typename Td, typename Ud, typename Th, typename Uh>
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void stebz_getPerfData(const rocblas_handle handle,
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const rocblas_erange erange,
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const rocblas_eorder eorder,
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const rocblas_int n,
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const T vl,
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const T vu,
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const rocblas_int il,
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const rocblas_int iu,
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const T abstol,
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Td& dD,
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Td& dE,
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Ud& dnev,
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Ud& dnsplit,
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Td& dW,
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Ud& dIblock,
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Ud& dIsplit,
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Ud& dinfo,
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Th& hD,
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Th& hE,
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Uh& hnev,
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Uh& hnsplit,
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Th& hW,
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Uh& hIblock,
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Uh& hIsplit,
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Uh& hinfo,
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double* gpu_time_used,
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double* cpu_time_used,
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const rocblas_int hot_calls,
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const int profile,
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const bool profile_kernels,
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const bool perf)
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{
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if(!perf)
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{
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std::vector<T> work(4 * n);
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std::vector<int> iwork(3 * n);
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// abstol = 0 ensures max accuracy in rocsolver; for lapack we should use 2*safemin
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T atol = (abstol == 0) ? 2 * get_safemin<T>() : abstol;
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stebz_initData<true, false, T>(handle, n, dD, dE, hD, hE);
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// cpu-lapack performance (only if not in perf mode)
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*cpu_time_used = get_time_us_no_sync();
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cpu_stebz(erange, eorder, n, vl, vu, il, iu, atol, hD[0], hE[0], hnev[0], hnsplit[0], hW[0],
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hIblock[0], hIsplit[0], work.data(), iwork.data(), hinfo[0]);
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*cpu_time_used = get_time_us_no_sync() - *cpu_time_used;
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}
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stebz_initData<true, false, T>(handle, n, dD, dE, hD, hE);
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// cold calls
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for(int iter = 0; iter < 2; iter++)
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{
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stebz_initData<false, true, T>(handle, n, dD, dE, hD, hE);
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CHECK_ROCBLAS_ERROR(rocsolver_stebz(handle, erange, eorder, n, vl, vu, il, iu, abstol,
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dD.data(), dE.data(), dnev.data(), dnsplit.data(),
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dW.data(), dIblock.data(), dIsplit.data(), dinfo.data()));
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}
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// gpu-lapack performance
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hipStream_t stream;
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CHECK_ROCBLAS_ERROR(rocblas_get_stream(handle, &stream));
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rocsolver_timer timer;
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if(profile > 0)
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{
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if(profile_kernels)
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rocsolver_log_set_layer_mode(rocblas_layer_mode_log_profile
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| rocblas_layer_mode_ex_log_kernel);
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else
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rocsolver_log_set_layer_mode(rocblas_layer_mode_log_profile);
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rocsolver_log_set_max_levels(profile);
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}
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for(rocblas_int iter = 0; iter < hot_calls; iter++)
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{
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stebz_initData<false, true, T>(handle, n, dD, dE, hD, hE);
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timer.start(stream);
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rocsolver_stebz(handle, erange, eorder, n, vl, vu, il, iu, abstol, dD.data(), dE.data(),
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dnev.data(), dnsplit.data(), dW.data(), dIblock.data(), dIsplit.data(),
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dinfo.data());
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timer.end(stream);
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}
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*gpu_time_used = timer.get_combined();
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}
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template <typename T>
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void testing_stebz(Arguments& argus)
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{
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// get arguments
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rocblas_local_handle handle;
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char erangeC = argus.get<char>("erange");
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char eorderC = argus.get<char>("eorder");
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rocblas_int n = argus.get<rocblas_int>("n");
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T vl = T(argus.get<double>("vl", 0));
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T vu = T(argus.get<double>("vu", erangeC == 'V' ? 1 : 0));
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rocblas_int il = argus.get<rocblas_int>("il", erangeC == 'I' ? 1 : 0);
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rocblas_int iu = argus.get<rocblas_int>("iu", erangeC == 'I' ? 1 : 0);
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T abstol = T(argus.get<double>("abstol"));
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rocblas_erange erange = char2rocblas_erange(erangeC);
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rocblas_eorder eorder = char2rocblas_eorder(eorderC);
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rocblas_int hot_calls = argus.iters;
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// check non-supported values
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// N/A
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// determine sizes
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size_t size_D = n;
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size_t size_E = n;
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size_t size_W = n;
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size_t size_iblock = n;
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size_t size_isplit = n;
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double max_error = 0, gpu_time_used = 0, cpu_time_used = 0;
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size_t size_WRes = (argus.unit_check || argus.norm_check) ? size_W : 0;
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size_t size_iblockRes = (argus.unit_check || argus.norm_check) ? size_iblock : 0;
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size_t size_isplitRes = (argus.unit_check || argus.norm_check) ? size_isplit : 0;
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// check invalid sizes
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bool invalid_size = (n < 0) || (erange == rocblas_erange_value && vl >= vu)
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|| (erange == rocblas_erange_index && (iu > n || (n > 0 && il > iu)))
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|| (erange == rocblas_erange_index && (il < 1 || iu < 0));
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if(invalid_size)
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{
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EXPECT_ROCBLAS_STATUS(
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rocsolver_stebz(handle, erange, eorder, n, vl, vu, il, iu, abstol, (T*)nullptr,
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(T*)nullptr, (rocblas_int*)nullptr, (rocblas_int*)nullptr, (T*)nullptr,
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(rocblas_int*)nullptr, (rocblas_int*)nullptr, (rocblas_int*)nullptr),
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rocblas_status_invalid_size);
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if(argus.timing)
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rocsolver_bench_inform(inform_invalid_size);
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return;
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}
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// memory size query is necessary
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if(argus.mem_query)
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{
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CHECK_ROCBLAS_ERROR(rocblas_start_device_memory_size_query(handle));
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CHECK_ALLOC_QUERY(rocsolver_stebz(handle, erange, eorder, n, vl, vu, il, iu, abstol,
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(T*)nullptr, (T*)nullptr, (rocblas_int*)nullptr,
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(rocblas_int*)nullptr, (T*)nullptr, (rocblas_int*)nullptr,
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(rocblas_int*)nullptr, (rocblas_int*)nullptr));
|
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size_t size;
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CHECK_ROCBLAS_ERROR(rocblas_stop_device_memory_size_query(handle, &size));
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|
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rocsolver_bench_inform(inform_mem_query, size);
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return;
|
|
}
|
|
|
|
// memory allocations
|
|
host_strided_batch_vector<T> hD(size_D, 1, size_D, 1);
|
|
host_strided_batch_vector<T> hE(size_E, 1, size_E, 1);
|
|
host_strided_batch_vector<T> hW(size_W, 1, size_W, 1);
|
|
host_strided_batch_vector<T> hWRes(size_WRes, 1, size_WRes, 1);
|
|
host_strided_batch_vector<rocblas_int> hIblock(size_iblock, 1, size_iblock, 1);
|
|
host_strided_batch_vector<rocblas_int> hIblockRes(size_iblockRes, 1, size_iblockRes, 1);
|
|
host_strided_batch_vector<rocblas_int> hIsplit(size_isplit, 1, size_isplit, 1);
|
|
host_strided_batch_vector<rocblas_int> hIsplitRes(size_isplitRes, 1, size_isplitRes, 1);
|
|
host_strided_batch_vector<rocblas_int> hnev(1, 1, 1, 1);
|
|
host_strided_batch_vector<rocblas_int> hnevRes(1, 1, 1, 1);
|
|
host_strided_batch_vector<rocblas_int> hnsplit(1, 1, 1, 1);
|
|
host_strided_batch_vector<rocblas_int> hnsplitRes(1, 1, 1, 1);
|
|
host_strided_batch_vector<rocblas_int> hinfo(1, 1, 1, 1);
|
|
host_strided_batch_vector<rocblas_int> hinfoRes(1, 1, 1, 1);
|
|
device_strided_batch_vector<T> dD(size_D, 1, size_D, 1);
|
|
device_strided_batch_vector<T> dE(size_E, 1, size_E, 1);
|
|
device_strided_batch_vector<T> dW(size_W, 1, size_W, 1);
|
|
device_strided_batch_vector<rocblas_int> dIblock(size_iblock, 1, size_iblock, 1);
|
|
device_strided_batch_vector<rocblas_int> dIsplit(size_isplit, 1, size_isplit, 1);
|
|
device_strided_batch_vector<rocblas_int> dnev(1, 1, 1, 1);
|
|
device_strided_batch_vector<rocblas_int> dnsplit(1, 1, 1, 1);
|
|
device_strided_batch_vector<rocblas_int> dinfo(1, 1, 1, 1);
|
|
|
|
if(size_D)
|
|
CHECK_HIP_ERROR(dD.memcheck());
|
|
if(size_E)
|
|
CHECK_HIP_ERROR(dE.memcheck());
|
|
if(size_W)
|
|
CHECK_HIP_ERROR(dW.memcheck());
|
|
if(size_iblock)
|
|
CHECK_HIP_ERROR(dIblock.memcheck());
|
|
if(size_isplit)
|
|
CHECK_HIP_ERROR(dIsplit.memcheck());
|
|
CHECK_HIP_ERROR(dnev.memcheck());
|
|
CHECK_HIP_ERROR(dnsplit.memcheck());
|
|
CHECK_HIP_ERROR(dinfo.memcheck());
|
|
|
|
// check quick return
|
|
if(n == 0)
|
|
{
|
|
EXPECT_ROCBLAS_STATUS(rocsolver_stebz(handle, erange, eorder, n, vl, vu, il, iu, abstol,
|
|
dD.data(), dE.data(), dnev.data(), dnsplit.data(),
|
|
dW.data(), dIblock.data(), dIsplit.data(), dinfo.data()),
|
|
rocblas_status_success);
|
|
if(argus.timing)
|
|
rocsolver_bench_inform(inform_quick_return);
|
|
|
|
return;
|
|
}
|
|
|
|
// check computations
|
|
if(argus.unit_check || argus.norm_check)
|
|
stebz_getError<T>(handle, erange, eorder, n, vl, vu, il, iu, abstol, dD, dE, dnev, dnsplit,
|
|
dW, dIblock, dIsplit, dinfo, hD, hE, hnev, hnevRes, hnsplit, hnsplitRes,
|
|
hW, hWRes, hIblock, hIblockRes, hIsplit, hIsplitRes, hinfo, hinfoRes,
|
|
&max_error);
|
|
|
|
// collect performance data
|
|
if(argus.timing && hot_calls > 0)
|
|
stebz_getPerfData<T>(handle, erange, eorder, n, vl, vu, il, iu, abstol, dD, dE, dnev,
|
|
dnsplit, dW, dIblock, dIsplit, dinfo, hD, hE, hnev, hnsplit, hW,
|
|
hIblock, hIsplit, hinfo, &gpu_time_used, &cpu_time_used, hot_calls,
|
|
argus.profile, argus.profile_kernels, argus.perf);
|
|
|
|
// validate results for rocsolver-test
|
|
// using n * machine_precision as tolerance
|
|
if(argus.unit_check)
|
|
ROCSOLVER_TEST_CHECK(T, max_error, n);
|
|
|
|
// output results for rocsolver-bench
|
|
if(argus.timing)
|
|
{
|
|
if(!argus.perf)
|
|
{
|
|
rocsolver_bench_header("Arguments:");
|
|
rocsolver_bench_output("erange", "eorder", "n", "vl", "vu", "il", "iu", "abstol");
|
|
rocsolver_bench_output(erangeC, eorderC, n, vl, vu, il, iu, abstol);
|
|
|
|
rocsolver_bench_header("Results:");
|
|
if(argus.norm_check)
|
|
{
|
|
rocsolver_bench_output("cpu_time_us", "gpu_time_us", "error");
|
|
rocsolver_bench_output(cpu_time_used, gpu_time_used, max_error);
|
|
}
|
|
else
|
|
{
|
|
rocsolver_bench_output("cpu_time_us", "gpu_time_us");
|
|
rocsolver_bench_output(cpu_time_used, gpu_time_used);
|
|
}
|
|
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_STEBZ(...) extern template void testing_stebz<__VA_ARGS__>(Arguments&);
|
|
|
|
INSTANTIATE(EXTERN_TESTING_STEBZ, FOREACH_REAL_TYPE, APPLY_STAMP)
|