File: test_batch_trmm.cc

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// Copyright (c) 2017-2023, University of Tennessee. All rights reserved.
// SPDX-License-Identifier: BSD-3-Clause
// This program is free software: you can redistribute it and/or modify it under
// the terms of the BSD 3-Clause license. See the accompanying LICENSE file.

#include "test.hh"
#include "cblas_wrappers.hh"
#include "lapack_wrappers.hh"
#include "blas/flops.hh"
#include "print_matrix.hh"
#include "check_gemm.hh"

// -----------------------------------------------------------------------------
template <typename TA, typename TB>
void test_batch_trmm_work( Params& params, bool run )
{
    using namespace testsweeper;
    using blas::Side;
    using blas::Layout;
    using scalar_t = blas::scalar_type< TA, TB >;
    using real_t   = blas::real_type< scalar_t >;

    // get & mark input values
    blas::Layout layout = params.layout();
    blas::Side side_    = params.side();
    blas::Uplo uplo_    = params.uplo();
    blas::Op trans_     = params.trans();
    blas::Diag diag_    = params.diag();
    scalar_t alpha_     = params.alpha.get<scalar_t>();
    int64_t m_          = params.dim.m();
    int64_t n_          = params.dim.n();
    size_t  batch       = params.batch();
    int64_t align       = params.align();
    int64_t verbose     = params.verbose();

    // mark non-standard output values
    params.ref_time();
    params.ref_gflops();

    if (! run)
        return;

    // ----------
    // setup
    int64_t Am = (side_ == Side::Left ? m_ : n_);
    int64_t Bm = m_;
    int64_t Bn = n_;
    if (layout == Layout::RowMajor)
        std::swap( Bm, Bn );
    int64_t lda_ = roundup( Am, align );
    int64_t ldb_ = roundup( Bm, align );
    size_t size_A = size_t(lda_)*Am;
    size_t size_B = size_t(ldb_)*Bn;
    TA* A    = new TA[ batch * size_A ];
    TB* B    = new TB[ batch * size_B ];
    TB* Bref = new TB[ batch * size_B ];

    // pointer arrays
    std::vector<TA*>    Aarray( batch );
    std::vector<TB*>    Barray( batch );
    std::vector<TB*> Brefarray( batch );

    for (size_t i = 0; i < batch; ++i) {
         Aarray[i]   =  A   + i * size_A;
         Barray[i]   =  B   + i * size_B;
        Brefarray[i] = Bref + i * size_B;
    }

    // info
    std::vector<int64_t> info( batch );

    // wrap scalar arguments in std::vector
    std::vector<blas::Side> side(1, side_);
    std::vector<blas::Uplo> uplo(1, uplo_);
    std::vector<blas::Op>   trans(1, trans_);
    std::vector<blas::Diag> diag(1, diag_);
    std::vector<int64_t>    m(1, m_);
    std::vector<int64_t>    n(1, n_);
    std::vector<int64_t>    lda(1, lda_);
    std::vector<int64_t>    ldb(1, ldb_);
    std::vector<scalar_t>   alpha(1, alpha_);

    int64_t idist = 1;
    int iseed[4] = { 0, 0, 0, 1 };
    lapack_larnv( idist, iseed, batch * size_A, A );  // TODO: generate
    lapack_larnv( idist, iseed, batch * size_B, B );  // TODO
    lapack_lacpy( "g", Bm, batch * Bn, B, ldb_, Bref, ldb_ );

    // norms for error check
    real_t work[1];
    real_t* Anorm = new real_t[ batch ];
    real_t* Bnorm = new real_t[ batch ];

    for (size_t s = 0; s < batch; ++s) {
        Anorm[s] = lapack_lantr( "f", to_c_string( uplo_ ), to_c_string( diag_ ), Am, Am, Aarray[s], lda_, work );
        Bnorm[s] = lapack_lange( "f", Bm, Bn, Barray[s], ldb_, work );
    }

    // decide error checking mode
    info.resize( 0 );

    // run test
    testsweeper::flush_cache( params.cache() );
    double time = get_wtime();
    blas::batch::trmm( layout, side, uplo, trans, diag, m, n, alpha, Aarray, lda, Barray, ldb,
                       batch, info );
    time = get_wtime() - time;

    double gflop = batch * blas::Gflop< scalar_t >::trmm( side_, m_, n_ );
    params.time()   = time;
    params.gflops() = gflop / time;

    if (params.check() == 'y') {
        // run reference
        testsweeper::flush_cache( params.cache() );
        time = get_wtime();
        for (size_t s = 0; s < batch; ++s) {
            cblas_trmm( cblas_layout_const(layout),
                        cblas_side_const(side_),
                        cblas_uplo_const(uplo_),
                        cblas_trans_const(trans_),
                        cblas_diag_const(diag_),
                        m_, n_, alpha_, Aarray[s], lda_, Brefarray[s], ldb_ );
        }
        time = get_wtime() - time;

        params.ref_time()   = time;
        params.ref_gflops() = gflop / time;

        // check error compared to reference
        // Am is reduction dimension
        // beta = 0, Cnorm = 0 (initial).
        real_t err, error = 0;
        bool ok, okay = true;
        for (size_t s = 0; s < batch; ++s) {
            check_gemm( Bm, Bn, Am, alpha_, scalar_t(0), Anorm[s], Bnorm[s], real_t(0),
                        Brefarray[s], ldb_, Barray[s], ldb_, verbose, &err, &ok );
            error = std::max( error, err );
            okay &= ok;
        }
        params.error() = error;
        params.okay() = okay;
    }

    delete[] A;
    delete[] B;
    delete[] Bref;
    delete[] Anorm;
    delete[] Bnorm;
}

// -----------------------------------------------------------------------------
void test_batch_trmm( Params& params, bool run )
{
    switch (params.datatype()) {
        case testsweeper::DataType::Single:
            test_batch_trmm_work< float, float >( params, run );
            break;

        case testsweeper::DataType::Double:
            test_batch_trmm_work< double, double >( params, run );
            break;

        case testsweeper::DataType::SingleComplex:
            test_batch_trmm_work< std::complex<float>, std::complex<float> >
                ( params, run );
            break;

        case testsweeper::DataType::DoubleComplex:
            test_batch_trmm_work< std::complex<double>, std::complex<double> >
                ( params, run );
            break;

        default:
            throw std::exception();
            break;
    }
}