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/*
* This file is a part of TiledArray.
* Copyright (C) 2013 Virginia Tech
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*
* Justus Calvin
* Department of Chemistry, Virginia Tech
*
* tile_op_mult.cpp
* May 7, 2013
*
*/
#include "TiledArray/tile_op/mult.h"
#include "range_fixture.h"
#include "tiledarray.h"
#include "unit_test_config.h"
using namespace TiledArray;
using TiledArray::detail::Mult;
struct MultFixture : public RangeFixture {
MultFixture() : a(RangeFixture::r), b(RangeFixture::r), c(), perm({2, 0, 1}) {
GlobalFixture::world->srand(27);
for (std::size_t i = 0ul; i < r.volume(); ++i) {
a[i] = GlobalFixture::world->rand() / 101;
b[i] = GlobalFixture::world->rand() / 101;
}
}
~MultFixture() {}
Tensor<int> a;
Tensor<int> b;
Tensor<int> c;
Permutation perm;
}; // MultFixture
BOOST_FIXTURE_TEST_SUITE(tile_op_mult_suite, MultFixture)
BOOST_AUTO_TEST_CASE(constructor) {
// Check that the constructors can be called without throwing exceptions
BOOST_CHECK_NO_THROW(
(Mult<Tensor<int>, Tensor<int>, Tensor<int>, false, false>()));
BOOST_CHECK_NO_THROW(
(Mult<Tensor<int>, Tensor<int>, Tensor<int>, true, false>()));
BOOST_CHECK_NO_THROW(
(Mult<Tensor<int>, Tensor<int>, Tensor<int>, false, true>()));
BOOST_CHECK_NO_THROW(
(Mult<Tensor<int>, Tensor<int>, Tensor<int>, true, true>()));
}
BOOST_AUTO_TEST_CASE(binary_mult) {
Mult<Tensor<int>, Tensor<int>, Tensor<int>, false, false> mult_op;
// Store the multiplication of a and b in c
BOOST_CHECK_NO_THROW(c = mult_op(a, b));
// Check that the result range is correct
BOOST_CHECK_EQUAL(c.range(), a.range());
// Check that a nor b were consumed
BOOST_CHECK_NE(c.data(), a.data());
BOOST_CHECK_NE(c.data(), b.data());
// Check that the data in the new tile is correct
for (std::size_t i = 0ul; i < r.volume(); ++i) {
BOOST_CHECK_EQUAL(c[i], a[i] * b[i]);
}
}
BOOST_AUTO_TEST_CASE(binary_mult_perm) {
Mult<Tensor<int>, Tensor<int>, Tensor<int>, false, false> mult_op;
// Store the multiplication of a and b in c
BOOST_CHECK_NO_THROW(c = mult_op(a, b, perm));
// Check that the result range is correct
BOOST_CHECK_EQUAL(c.range(), a.range());
// Check that a nor b were consumed
BOOST_CHECK_NE(c.data(), a.data());
BOOST_CHECK_NE(c.data(), b.data());
// Check that the data in the new tile is correct
for (std::size_t i = 0ul; i < r.volume(); ++i) {
BOOST_CHECK_EQUAL(c[perm * a.range().idx(i)], a[i] * b[i]);
}
}
BOOST_AUTO_TEST_CASE(binary_mult_consume_left) {
Mult<Tensor<int>, Tensor<int>, Tensor<int>, true, false> mult_op;
const Tensor<int> ax(a.range(), a.begin());
// Store the multiplication of a and b in c
BOOST_CHECK_NO_THROW(c = mult_op(a, b));
// Check that the result range is correct
BOOST_CHECK_EQUAL(c.range(), a.range());
// Check that a nor b were consumed
BOOST_CHECK_EQUAL(c.data(), a.data());
BOOST_CHECK_NE(c.data(), b.data());
// Check that the data in the new tile is correct
for (std::size_t i = 0ul; i < r.volume(); ++i) {
BOOST_CHECK_EQUAL(c[i], ax[i] * b[i]);
}
}
BOOST_AUTO_TEST_CASE(binary_mult_perm_consume_left) {
Mult<Tensor<int>, Tensor<int>, Tensor<int>, true, false> mult_op;
// Store the multiplication of a and b in c
BOOST_CHECK_NO_THROW(c = mult_op(a, b, perm));
// Check that the result range is correct
BOOST_CHECK_EQUAL(c.range(), a.range());
// Check that a nor b were consumed
BOOST_CHECK_NE(c.data(), a.data());
BOOST_CHECK_NE(c.data(), b.data());
// Check that the data in the new tile is correct
for (std::size_t i = 0ul; i < r.volume(); ++i) {
BOOST_CHECK_EQUAL(c[perm * a.range().idx(i)], a[i] * b[i]);
}
}
BOOST_AUTO_TEST_CASE(binary_mult_consume_right) {
Mult<Tensor<int>, Tensor<int>, Tensor<int>, false, true> mult_op;
const Tensor<int> bx(b.range(), b.begin());
// Store the multiplication of a and b in c
BOOST_CHECK_NO_THROW(c = mult_op(a, b));
// Check that the result range is correct
BOOST_CHECK_EQUAL(c.range(), a.range());
// Check that a nor b were consumed
BOOST_CHECK_NE(c.data(), a.data());
BOOST_CHECK_EQUAL(c.data(), b.data());
// Check that the data in the new tile is correct
for (std::size_t i = 0ul; i < r.volume(); ++i) {
BOOST_CHECK_EQUAL(c[i], a[i] * bx[i]);
}
}
BOOST_AUTO_TEST_CASE(binary_mult_perm_consume_right) {
Mult<Tensor<int>, Tensor<int>, Tensor<int>, false, true> mult_op;
// Store the multiplication of a and b in c
BOOST_CHECK_NO_THROW(c = mult_op(a, b, perm));
// Check that the result range is correct
BOOST_CHECK_EQUAL(c.range(), a.range());
// Check that a nor b were consumed
BOOST_CHECK_NE(c.data(), a.data());
BOOST_CHECK_NE(c.data(), b.data());
// Check that the data in the new tile is correct
for (std::size_t i = 0ul; i < r.volume(); ++i) {
BOOST_CHECK_EQUAL(c[perm * a.range().idx(i)], a[i] * b[i]);
}
}
BOOST_AUTO_TEST_SUITE_END()
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