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xtensor/test/test_xexpression.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
<
sstream
>
#
include
"
xtensor/containers/xarray.hpp
"
#
include
"
xtensor/containers/xtensor.hpp
"
#
include
"
xtensor/core/xexpression.hpp
"
#
include
"
xtensor/core/xmath.hpp
"
#
include
"
xtensor/generators/xrandom.hpp
"
#
include
"
xtensor/io/xio.hpp
"
#
include
"
test_common_macros.hpp
"
namespace
xt
{
auto
fun
()
{
auto
sa =
make_xshared
(xarray<
double
>({{
1
,
2
,
3
,
4
}, {
5
,
6
,
7
,
8
}}));
return
sa + sa * sa - sa;
}
TEST
(xexpression, shared_basic)
{
xarray<
double
> a = {{
1
,
2
,
3
,
4
}, {
5
,
6
,
7
,
8
}};
xarray<
double
> ca = {{
1
,
2
,
3
,
4
}, {
5
,
6
,
7
,
8
}};
auto
sa =
make_xshared
(
std::move
(a));
EXPECT_EQ
(sa.
dimension
(),
std::size_t
(
2
));
EXPECT_EQ
(sa.
shape
(), ca.
shape
());
EXPECT_EQ
(sa.
strides
(), ca.
strides
());
EXPECT_EQ
(
sa
(
1
,
3
),
ca
(
1
,
3
));
EXPECT_EQ
(sa.
storage
(), ca.
storage
());
EXPECT_EQ
(sa.
data_offset
(), ca.
data_offset
());
EXPECT_EQ
(sa.
data
()[
0
], ca.
data
()[
0
]);
layout_type L =
decltype
(sa)::static_layout;
bool
contig =
decltype
(sa)::contiguous_layout;
EXPECT_EQ
(L,
XTENSOR_DEFAULT_LAYOUT
);
EXPECT_EQ
(contig,
true
);
EXPECT_EQ
(sa.
use_count
(),
2
);
auto
cpysa = sa;
EXPECT_EQ
(sa.
use_count
(),
3
);
std::stringstream buffer;
buffer << sa;
EXPECT_EQ
(buffer.
str
(),
"
{{ 1., 2., 3., 4.},
\n
{ 5., 6., 7., 8.}}
"
);
}
TEST
(xexpression, shared_iterator)
{
xarray<
double
> a = {{
1
,
2
,
3
,
4
}, {
5
,
6
,
7
,
8
}};
xarray<
double
> ca = {{
1
,
2
,
3
,
4
}, {
5
,
6
,
7
,
8
}};
auto
sa =
make_xshared
(
std::move
(a));
EXPECT_EQ
(*(sa.
begin
()), *(ca.
begin
()));
EXPECT_EQ
(*(sa.
cbegin
()), *(ca.
cbegin
()));
EXPECT_EQ
(*(sa.
rbegin
()), *(ca.
rbegin
()));
EXPECT_EQ
(*(sa.
crbegin
()), *(ca.
crbegin
()));
auto
it = sa.
begin
() +
8
;
EXPECT_EQ
(it, sa.
end
());
auto
cit = sa.
cbegin
() +
8
;
EXPECT_EQ
(cit, sa.
cend
());
auto
rit = sa.
rbegin
() +
8
;
EXPECT_EQ
(rit, sa.
rend
());
auto
crit = sa.
crbegin
() +
8
;
EXPECT_EQ
(crit, sa.
crend
());
}
template
<
class
E
>
auto
test_sum
(E&& e)
{
return
share
(e) +
share
(e);
}
TEST
(xexpression, shared_xfunctions)
{
xarray<
double
> a = {{
1
,
2
,
3
,
4
}, {
5
,
6
,
7
,
8
}};
xarray<
double
> ca = {{
1
,
2
,
3
,
4
}, {
5
,
6
,
7
,
8
}};
xarray<
double
>
acopy
(a);
auto
sa =
make_xshared
(
std::move
(a));
auto
expr1 = sa + sa;
auto
expr2 = a + a;
auto
expr3 =
test_sum
(
std::move
(acopy));
EXPECT_EQ
(sa.
use_count
(),
4
);
EXPECT_TRUE
(
all
(
equal
(expr1, expr2)));
EXPECT_TRUE
(
all
(
equal
(expr1, expr3)));
std::stringstream buffer;
buffer << expr1;
EXPECT_EQ
(buffer.
str
(),
"
{{ 2., 4., 6., 8.},
\n
{ 10., 12., 14., 16.}}
"
);
//
Compilation test
auto
sexpr1 =
make_xshared
(
std::move
(expr1));
using
expr_type =
decltype
(sexpr1);
using
strides_type =
typename
expr_type::strides_type;
using
inner_strides_type =
typename
expr_type::inner_strides_type;
using
backstrides_type =
typename
expr_type::backstrides_type;
using
inner_strides_tybackstrides_typepe =
typename
expr_type::inner_backstrides_type;
}
TEST
(xexpression, shared_expr_return)
{
auto
expr =
fun
();
xarray<
double
> a = {{
1
,
2
,
3
,
4
}, {
5
,
6
,
7
,
8
}};
EXPECT_EQ
(expr, a * a);
}
TEST
(xexpression, shared_reducer_result)
{
std::
size_t
n =
1000
;
std::
size_t
m =
9
;
std::
size_t
o =
12
;
xtensor<
double
,
3
> tensor =
random::rand
({n, m, o}, -
20
.,
20
.);
auto
result =
make_xshared
(
sum
(tensor, {
2
}));
auto
expected =
sum
(tensor, {
2
});
EXPECT_EQ
(result.
dimension
(),
std::size_t
(
2
));
EXPECT_EQ
(result.
shape
(), expected.
shape
());
EXPECT_TRUE
(
all
(
equal
(result, expected)));
}
TEST
(xexpression, temporary_type)
{
using
dyn_shape = xt::svector<std::
size_t
,
4
, std::allocator<std::
size_t
>,
true
>;
using
dyn_tmp = xt::detail::xtype_for_shape<dyn_shape>::type<
int
,
XTENSOR_DEFAULT_LAYOUT
>;
using
dyn_exp = xt::xarray<
int
>;
constexpr
bool
dyn_res = std::is_same<dyn_tmp, dyn_exp>::value;
EXPECT_TRUE
(dyn_res);
using
sta_shape = std::array<std::
size_t
,
4
>;
using
sta_tmp = xt::detail::xtype_for_shape<sta_shape>::type<
int
,
XTENSOR_DEFAULT_LAYOUT
>;
using
sta_exp = xt::xtensor<
int
,
4
>;
constexpr
bool
sta_res = std::is_same<sta_tmp, sta_exp>::value;
EXPECT_TRUE
(sta_res);
}
}
//
namespace xt
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