eigen/test/blasutil.cpp
2020-08-14 18:15:18 +02:00

205 lines
5.9 KiB
C++

// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2020 Everton Constantino <everton.constantino@ibm.com>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/
#include "main.h"
#include <Eigen/Core>
using namespace Eigen;
#define GET(i,j) (StorageOrder == RowMajor ? (i)*stride + (j) : (i) + (j)*stride)
#define SCATTER(i,j,k) (StorageOrder == RowMajor ? ((i)+(k))*stride + (j) : (i) + ((j)+(k))*stride)
template<typename Scalar, typename Packet>
void compare(const Packet& a, const Packet& b)
{
int pktsz = internal::packet_traits<Scalar>::size;
Scalar *buffA = new Scalar[pktsz];
Scalar *buffB = new Scalar[pktsz];
internal::pstoreu<Scalar, Packet>(buffA, a);
internal::pstoreu<Scalar, Packet>(buffB, b);
for(int i = 0; i < pktsz; i++)
{
VERIFY_IS_EQUAL(buffA[i], buffB[i]);
}
delete[] buffA;
delete[] buffB;
}
template<typename Scalar, int StorageOrder, int n>
struct PacketBlockSet
{
typedef typename internal::packet_traits<Scalar>::type Packet;
void setPacketBlock(internal::PacketBlock<Packet,n>& block, Scalar value)
{
for(int idx = 0; idx < n; idx++)
{
block.packet[idx] = internal::pset1<Packet>(value);
}
}
void comparePacketBlock(Scalar *data, int i, int j, int stride, internal::PacketBlock<Packet, n>& block)
{
for(int idx = 0; idx < n; idx++)
{
Packet line = internal::ploadu<Packet>(data + SCATTER(i,j,idx));
compare<Scalar, Packet>(block.packet[idx], line);
}
}
};
template<typename Scalar, int StorageOrder, int BlockSize>
void run_bdmp_spec_1()
{
typedef internal::blas_data_mapper<Scalar, int, StorageOrder> BlasDataMapper;
int packetSize = internal::packet_traits<Scalar>::size;
int minSize = std::max<int>(packetSize, BlockSize);
typedef typename internal::packet_traits<Scalar>::type Packet;
int szm = internal::random<int>(minSize,500), szn = internal::random<int>(minSize,500);
int stride = StorageOrder == RowMajor ? szn : szm;
Scalar *d = new Scalar[szn*szm];
// Initializing with random entries
for(int i = 0; i < szm*szn; i++)
{
d[i] = internal::random<Scalar>(static_cast<Scalar>(3), static_cast<Scalar>(10));
}
BlasDataMapper bdm(d, stride);
// Testing operator()
for(int i = 0; i < szm; i++)
{
for(int j = 0; j < szn; j++)
{
VERIFY_IS_EQUAL(d[GET(i,j)], bdm(i,j));
}
}
// Testing getSubMapper and getLinearMapper
int i0 = internal::random<int>(0,szm-2);
int j0 = internal::random<int>(0,szn-2);
for(int i = i0; i < szm; i++)
{
for(int j = j0; j < szn; j++)
{
const BlasDataMapper& bdmSM = bdm.getSubMapper(i0,j0);
const internal::BlasLinearMapper<Scalar, int, 0>& bdmLM = bdm.getLinearMapper(i0,j0);
Scalar v = bdmSM(i - i0, j - j0);
Scalar vd = d[GET(i,j)];
VERIFY_IS_EQUAL(vd, v);
VERIFY_IS_EQUAL(vd, bdmLM(GET(i-i0, j-j0)));
}
}
// Testing loadPacket
for(int i = 0; i < szm - minSize; i++)
{
for(int j = 0; j < szn - minSize; j++)
{
Packet pktBDM = bdm.template loadPacket<Packet>(i,j);
Packet pktD = internal::ploadu<Packet>(d + GET(i,j));
compare<Scalar, Packet>(pktBDM, pktD);
}
}
// Testing gatherPacket
Scalar *buff = new Scalar[packetSize];
for(int i = 0; i < szm - minSize; i++)
{
for(int j = 0; j < szn - minSize; j++)
{
Packet p = bdm.template gatherPacket<Packet>(i,j);
internal::pstoreu<Scalar, Packet>(buff, p);
for(int k = 0; k < packetSize; k++)
{
VERIFY_IS_EQUAL(d[SCATTER(i,j,k)], buff[k]);
}
}
}
delete[] buff;
// Testing scatterPacket
for(int i = 0; i < szm - minSize; i++)
{
for(int j = 0; j < szn - minSize; j++)
{
Packet p = internal::pset1<Packet>(static_cast<Scalar>(1));
bdm.template scatterPacket<Packet>(i,j,p);
for(int k = 0; k < packetSize; k++)
{
VERIFY_IS_EQUAL(d[SCATTER(i,j,k)], static_cast<Scalar>(1));
}
}
}
//Testing storePacketBlock
internal::PacketBlock<Packet, BlockSize> block;
PacketBlockSet<Scalar, StorageOrder, BlockSize> pbs;
pbs.setPacketBlock(block, static_cast<Scalar>(2));
for(int i = 0; i < szm - minSize; i++)
{
for(int j = 0; j < szn - minSize; j++)
{
bdm.template storePacketBlock<Packet, BlockSize>(i, j, block);
pbs.comparePacketBlock(d, i, j, stride, block);
}
}
delete[] d;
}
template<typename Scalar>
void run_test()
{
run_bdmp_spec_1<Scalar, RowMajor, 1>();
run_bdmp_spec_1<Scalar, ColMajor, 1>();
run_bdmp_spec_1<Scalar, RowMajor, 2>();
run_bdmp_spec_1<Scalar, ColMajor, 2>();
run_bdmp_spec_1<Scalar, RowMajor, 4>();
run_bdmp_spec_1<Scalar, ColMajor, 4>();
run_bdmp_spec_1<Scalar, RowMajor, 8>();
run_bdmp_spec_1<Scalar, ColMajor, 8>();
run_bdmp_spec_1<Scalar, RowMajor, 16>();
run_bdmp_spec_1<Scalar, ColMajor, 16>();
}
EIGEN_DECLARE_TEST(blasutil)
{
for(int i = 0; i < g_repeat; i++)
{
CALL_SUBTEST_1(run_test<numext::int8_t>());
CALL_SUBTEST_2(run_test<numext::int16_t>());
CALL_SUBTEST_3(run_test<numext::int32_t>());
// TODO: Replace this by a call to numext::int64_t as soon as we have a way to
// detect the typedef for int64_t on all platforms
#if EIGEN_HAS_CXX11
CALL_SUBTEST_4(run_test<signed long long>());
#else
CALL_SUBTEST_4(run_test<signed long>());
#endif
CALL_SUBTEST_5(run_test<float_t>());
CALL_SUBTEST_6(run_test<double_t>());
}
}