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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/>.
*
*/
#include "TiledArray/tensor_impl.h"
#include "sparse_shape_fixture.h"
#include "tiledarray.h"
#include "unit_test_config.h"
using namespace TiledArray;
struct TensorImplBaseFixture : public SparseShapeFixture {
typedef detail::TensorImpl<DensePolicy> tensor_impl_base;
TensorImplBaseFixture()
: pmap(new detail::HashPmap(*GlobalFixture::world,
tr.tiles_range().volume())) {}
std::shared_ptr<tensor_impl_base::pmap_interface> pmap;
}; // struct TensorImplBaseFixture
struct TensorImplFixture : public TensorImplBaseFixture {
typedef TiledRange trange_type;
typedef Tensor<int> value_type;
typedef detail::TensorImpl<DensePolicy> tensor_impl_base;
typedef detail::TensorImpl<SparsePolicy> sp_tensor_impl_base;
typedef tensor_impl_base::shape_type dense_shape_type;
typedef sp_tensor_impl_base::shape_type sparse_shape_type;
TensorImplFixture()
: impl(*GlobalFixture::world, tr, dense_shape_type(), pmap),
sp_impl(*GlobalFixture::world, tr, make_shape(tr, 0.5, 42), pmap) {}
~TensorImplFixture() { GlobalFixture::world->gop.fence(); }
tensor_impl_base impl;
sp_tensor_impl_base sp_impl;
}; // struct TensorImplFixture
BOOST_FIXTURE_TEST_SUITE(tensor_impl_suite, TensorImplFixture)
BOOST_AUTO_TEST_CASE(constructor_dense_policy) {
BOOST_REQUIRE_NO_THROW(
tensor_impl_base(*GlobalFixture::world, tr, dense_shape_type(), pmap));
tensor_impl_base x(*GlobalFixture::world, tr, dense_shape_type(), pmap);
// Check that the initial conditions are correct after construction.
BOOST_CHECK_EQUAL(&x.world(), GlobalFixture::world);
BOOST_CHECK(x.pmap() == pmap);
BOOST_CHECK_EQUAL(x.tiles_range(), tr.tiles_range());
BOOST_CHECK_EQUAL(x.trange(), tr);
BOOST_CHECK_EQUAL(x.size(), tr.tiles_range().volume());
BOOST_CHECK(x.is_dense());
for (std::size_t i = 0; i < tr.tiles_range().volume(); ++i)
BOOST_CHECK(!x.is_zero(i));
}
BOOST_AUTO_TEST_CASE(constructor_shape_policy) {
BOOST_REQUIRE_NO_THROW(sp_tensor_impl_base(*GlobalFixture::world, tr,
make_shape(tr, 0.5, 23), pmap));
sp_tensor_impl_base x(*GlobalFixture::world, tr, make_shape(tr, 0.5, 23),
pmap);
// Check that the initial conditions are correct after construction.
BOOST_CHECK_EQUAL(&x.world(), GlobalFixture::world);
BOOST_CHECK(x.pmap() == pmap);
BOOST_CHECK_EQUAL(x.tiles_range(), tr.tiles_range());
BOOST_CHECK_EQUAL(x.trange(), tr);
BOOST_CHECK_EQUAL(x.size(), tr.tiles_range().volume());
BOOST_CHECK(!x.is_dense());
for (std::size_t i = 0; i < tr.tiles_range().volume(); ++i) {
if (x.shape()[i] < SparseShape<float>::threshold()) {
BOOST_CHECK(x.is_zero(i));
} else {
BOOST_CHECK(!x.is_zero(i));
}
}
}
BOOST_AUTO_TEST_CASE(process_map) {
BOOST_CHECK(impl.pmap() == pmap);
// Check that the impl ownership and locality are correct
for (std::size_t i = 0; i < tr.tiles_range().volume(); ++i) {
BOOST_CHECK_EQUAL(impl.owner(i), pmap->owner(i));
if (impl.owner(i) == GlobalFixture::world->rank())
BOOST_CHECK(impl.is_local(i));
else
BOOST_CHECK(!impl.is_local(i));
}
}
BOOST_AUTO_TEST_CASE(shape_access) {
BOOST_CHECK(impl.shape().is_dense());
// Check that the tensor shape and s are the same
for (std::size_t i = 0; i < tr.tiles_range().volume(); ++i) {
BOOST_CHECK(!impl.shape().is_zero(i));
}
}
BOOST_AUTO_TEST_CASE(zero) {
BOOST_CHECK(impl.is_dense());
// Check that all tiles are non-zero when shape is dense
for (std::size_t i = 0; i < tr.tiles_range().volume(); ++i) {
BOOST_CHECK(!impl.is_zero(i));
}
// Check that every third tile is non-zero
for (std::size_t i = 0; i < tr.tiles_range().volume(); ++i) {
if (sp_impl.shape()[i] < SparseShape<float>::threshold()) {
BOOST_CHECK(sp_impl.is_zero(i));
} else {
BOOST_CHECK(!sp_impl.is_zero(i));
}
}
}
BOOST_AUTO_TEST_SUITE_END()
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