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xtensor/test/test_xbroadcast.cpp at master · xtensor-stack/xtensor · GitHub
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/*
**************************************************************************
* Copyright (c) Johan Mabille, Sylvain Corlay and Wolf Vollprecht *
* Copyright (c) QuantStack *
* *
* Distributed under the terms of the BSD 3-Clause License. *
* *
* The full license is in the file LICENSE, distributed with this software. *
***************************************************************************
*/
#
include
"
xtensor/containers/xarray.hpp
"
#
include
"
xtensor/views/xbroadcast.hpp
"
#
include
"
test_common.hpp
"
namespace
xt
{
TEST
(xbroadcast, broadcast)
{
xarray<
double
> m1{{
1
,
2
,
3
}, {
4
,
5
,
6
}};
auto
m1_broadcast =
broadcast
(m1, {
1
,
2
,
3
});
ASSERT_EQ
(
1.0
,
m1_broadcast
(
0
,
0
,
0
));
ASSERT_EQ
(
4.0
,
m1_broadcast
(
0
,
1
,
0
));
ASSERT_EQ
(
5.0
,
m1_broadcast
(
0
,
1
,
1
));
ASSERT_EQ
(m1_broadcast.
layout
(), m1.
layout
());
XT_EXPECT_ANY_THROW
(m1_broadcast.
at
(
0
,
0
,
0
,
0
));
XT_EXPECT_ANY_THROW
(m1_broadcast.
at
(
10
,
10
,
10
));
auto
shape = std::vector<std::
size_t
>{
1
,
2
,
3
};
auto
m1_broadcast2 =
broadcast
(m1, shape);
ASSERT_EQ
(
1.0
,
m1_broadcast2
(
0
,
0
,
0
));
ASSERT_EQ
(
4.0
,
m1_broadcast2
(
0
,
1
,
0
));
ASSERT_EQ
(
5.0
,
m1_broadcast2
(
0
,
1
,
1
));
xarray<
double
> m1_assigned = m1_broadcast;
ASSERT_EQ
(
5.0
,
m1_assigned
(
0
,
1
,
1
));
}
TEST
(xbroadcast, fixed_shape)
{
xarray<
double
> m = {{
1
,
2
,
3
}, {
4
,
5
,
6
}};
auto
m_br =
broadcast
(m, xt::fixed_shape<
1
,
2
,
3
>());
ASSERT_EQ
(
1.0
,
m_br
(
0
,
0
,
0
));
ASSERT_EQ
(
4.0
,
m_br
(
0
,
1
,
0
));
ASSERT_EQ
(
5.0
,
m_br
(
0
,
1
,
1
));
ASSERT_EQ
(m_br.
layout
(), m.
layout
());
XT_EXPECT_ANY_THROW
(m_br.
at
(
0
,
0
,
0
,
0
));
XT_EXPECT_ANY_THROW
(m_br.
at
(
10
,
10
,
10
));
}
TEST
(xbroadcast, element)
{
xarray<
double
> m1{{
1
,
2
,
3
}, {
4
,
5
,
6
}};
auto
m1_broadcast =
broadcast
(m1, {
4
,
2
,
3
});
//
access with the right number of arguments
std::array<std::
size_t
,
3
> index1 = {
0
,
1
,
1
};
ASSERT_EQ
(
5.0
, m1_broadcast.
element
(index1.
begin
(), index1.
end
()));
//
too many arguments = using the last ones only
std::array<std::
size_t
,
4
> index3 = {
4
,
0
,
1
,
1
};
ASSERT_EQ
(
5.0
, m1_broadcast.
element
(index3.
begin
(), index3.
end
()));
}
TEST
(xbroadcast, indexed_access)
{
xarray<
double
> m1{{
1
,
2
,
3
}, {
4
,
5
,
6
}};
auto
m1_broadcast =
broadcast
(m1, {
4
,
2
,
3
});
std::array<std::
size_t
,
3
> index1 = {
0
,
1
,
1
};
ASSERT_EQ
(
5.0
, m1_broadcast[index1]);
ASSERT_EQ
(
5.0
, (m1_broadcast[{
0
,
1
,
1
}]));
std::array<std::
size_t
,
4
> index3 = {
4
,
0
,
1
,
1
};
ASSERT_EQ
(
5.0
, m1_broadcast[index3]);
ASSERT_EQ
(
5.0
, (m1_broadcast[{
4
,
0
,
1
,
1
}]));
}
TEST
(xbroadcast, shape_forwarding)
{
std::array<std::
size_t
,
2
> bc_shape{
3
,
3
};
auto
m1_broadcast =
broadcast
(
123
, bc_shape);
ASSERT_EQ
(
m1_broadcast
(
0
,
0
),
123
);
}
TEST
(xbroadcast, xiterator)
{
xarray<
int
> m1 = {
1
,
2
,
3
};
auto
m1_broadcast =
broadcast
(m1, {
2
,
3
});
size_t
nb_iter =
3
;
using
shape_type = std::vector<
size_t
>;
//
broadcast_iterator
{
auto
iter = m1_broadcast.
template
begin
<layout_type::row_major>();
auto
iter_end = m1_broadcast.
template
end
<layout_type::row_major>();
for
(
size_t
i =
0
; i < nb_iter; ++i)
{
++iter;
}
EXPECT_EQ
(
1
, *iter);
for
(
size_t
i =
0
; i < nb_iter; ++i)
{
++iter;
}
EXPECT_EQ
(iter, iter_end);
}
//
shaped_xiterator
{
shape_type shape = {
2
,
2
,
3
};
auto
iter = m1_broadcast.
template
begin
<layout_type::row_major>(shape);
auto
iter_end = m1_broadcast.
template
end
<layout_type::row_major>(shape);
for
(
size_t
i =
0
; i <
2
* nb_iter; ++i)
{
++iter;
}
EXPECT_EQ
(
1
, *iter);
for
(
size_t
i =
0
; i <
2
* nb_iter; ++i)
{
++iter;
}
EXPECT_EQ
(iter, iter_end);
}
}
TEST
(xbroadcast, reverse_xiterator)
{
xarray<
int
> m1 = {
1
,
2
,
3
};
auto
m1_broadcast =
broadcast
(m1, {
2
,
3
});
size_t
nb_iter =
3
;
using
shape_type = std::vector<
size_t
>;
//
reverse_broadcast_iterator
{
auto
iter = m1_broadcast.
template
rbegin
<layout_type::row_major>();
auto
iter_end = m1_broadcast.
template
rend
<layout_type::row_major>();
for
(
size_t
i =
0
; i < nb_iter; ++i)
{
++iter;
}
EXPECT_EQ
(
3
, *iter);
for
(
size_t
i =
0
; i < nb_iter; ++i)
{
++iter;
}
EXPECT_EQ
(iter, iter_end);
}
//
reverse_shaped_xiterator
{
shape_type shape = {
2
,
2
,
3
};
auto
iter = m1_broadcast.
template
rbegin
<layout_type::row_major>(shape);
auto
iter_end = m1_broadcast.
template
rend
<layout_type::row_major>(shape);
for
(
size_t
i =
0
; i <
2
* nb_iter; ++i)
{
++iter;
}
EXPECT_EQ
(
3
, *iter);
for
(
size_t
i =
0
; i <
2
* nb_iter; ++i)
{
++iter;
}
EXPECT_EQ
(iter, iter_end);
}
}
TEST
(xbroadcast, same_shape)
{
xt::xarray<
double
, xt::layout_type::column_major> arr{{
0.0
,
1.0
,
2.0
}, {
10.0
,
11.0
,
12.0
}};
auto
t =
xt::broadcast
(arr, {
2
,
3
});
xt::xarray<
double
, xt::layout_type::column_major> cm_arr = t;
xt::xarray<
double
, xt::layout_type::row_major> rm_arr = t;
EXPECT_TRUE
(
xt::allclose
(rm_arr, cm_arr));
EXPECT_EQ
(
cm_arr
(
0
,
0
),
0.0
);
EXPECT_EQ
(
cm_arr
(
0
,
1
),
1.0
);
EXPECT_EQ
(
cm_arr
(
0
,
2
),
2.0
);
EXPECT_EQ
(
cm_arr
(
1
,
0
),
10.0
);
EXPECT_EQ
(
cm_arr
(
1
,
1
),
11.0
);
EXPECT_EQ
(
cm_arr
(
1
,
2
),
12.0
);
}
}
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