1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
|
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009 Hauke Heibel <hauke.heibel@gmail.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>
#include "AnnoyingScalar.h"
using namespace Eigen;
template <typename Scalar, int Storage>
void run_matrix_tests()
{
typedef Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic, Storage> MatrixType;
MatrixType m, n;
// boundary cases ...
m = n = MatrixType::Random(50,50);
m.conservativeResize(1,50);
VERIFY_IS_APPROX(m, n.block(0,0,1,50));
m = n = MatrixType::Random(50,50);
m.conservativeResize(50,1);
VERIFY_IS_APPROX(m, n.block(0,0,50,1));
m = n = MatrixType::Random(50,50);
m.conservativeResize(50,50);
VERIFY_IS_APPROX(m, n.block(0,0,50,50));
// random shrinking ...
for (int i=0; i<25; ++i)
{
const Index rows = internal::random<Index>(1,50);
const Index cols = internal::random<Index>(1,50);
m = n = MatrixType::Random(50,50);
m.conservativeResize(rows,cols);
VERIFY_IS_APPROX(m, n.block(0,0,rows,cols));
}
// random growing with zeroing ...
for (int i=0; i<25; ++i)
{
const Index rows = internal::random<Index>(50,75);
const Index cols = internal::random<Index>(50,75);
m = n = MatrixType::Random(50,50);
m.conservativeResizeLike(MatrixType::Zero(rows,cols));
VERIFY_IS_APPROX(m.block(0,0,n.rows(),n.cols()), n);
VERIFY( rows<=50 || m.block(50,0,rows-50,cols).sum() == Scalar(0) );
VERIFY( cols<=50 || m.block(0,50,rows,cols-50).sum() == Scalar(0) );
}
}
template <typename Scalar>
void run_vector_tests()
{
typedef Matrix<Scalar, 1, Eigen::Dynamic> VectorType;
VectorType m, n;
// boundary cases ...
m = n = VectorType::Random(50);
m.conservativeResize(1);
VERIFY_IS_APPROX(m, n.segment(0,1));
m = n = VectorType::Random(50);
m.conservativeResize(50);
VERIFY_IS_APPROX(m, n.segment(0,50));
m = n = VectorType::Random(50);
m.conservativeResize(m.rows(),1);
VERIFY_IS_APPROX(m, n.segment(0,1));
m = n = VectorType::Random(50);
m.conservativeResize(m.rows(),50);
VERIFY_IS_APPROX(m, n.segment(0,50));
// random shrinking ...
for (int i=0; i<50; ++i)
{
const int size = internal::random<int>(1,50);
m = n = VectorType::Random(50);
m.conservativeResize(size);
VERIFY_IS_APPROX(m, n.segment(0,size));
m = n = VectorType::Random(50);
m.conservativeResize(m.rows(), size);
VERIFY_IS_APPROX(m, n.segment(0,size));
}
// random growing with zeroing ...
for (int i=0; i<50; ++i)
{
const int size = internal::random<int>(50,100);
m = n = VectorType::Random(50);
m.conservativeResizeLike(VectorType::Zero(size));
VERIFY_IS_APPROX(m.segment(0,50), n);
VERIFY( size<=50 || m.segment(50,size-50).sum() == Scalar(0) );
m = n = VectorType::Random(50);
m.conservativeResizeLike(Matrix<Scalar,Dynamic,Dynamic>::Zero(1,size));
VERIFY_IS_APPROX(m.segment(0,50), n);
VERIFY( size<=50 || m.segment(50,size-50).sum() == Scalar(0) );
}
}
// Basic memory leak check with a non-copyable scalar type
template<int> void noncopyable()
{
typedef Eigen::Matrix<AnnoyingScalar,Dynamic,1> VectorType;
typedef Eigen::Matrix<AnnoyingScalar,Dynamic,Dynamic> MatrixType;
{
AnnoyingScalar::dont_throw = true;
int n = 50;
VectorType v0(n), v1(n);
MatrixType m0(n,n), m1(n,n), m2(n,n);
v0.setOnes(); v1.setOnes();
m0.setOnes(); m1.setOnes(); m2.setOnes();
VERIFY(m0==m1);
m0.conservativeResize(2*n,2*n);
VERIFY(m0.topLeftCorner(n,n) == m1);
VERIFY(v0.head(n) == v1);
v0.conservativeResize(2*n);
VERIFY(v0.head(n) == v1);
}
VERIFY(AnnoyingScalar::instances==0 && "global memory leak detected in noncopyable");
}
EIGEN_DECLARE_TEST(conservative_resize)
{
for(int i=0; i<g_repeat; ++i)
{
CALL_SUBTEST_1((run_matrix_tests<int, Eigen::RowMajor>()));
CALL_SUBTEST_1((run_matrix_tests<int, Eigen::ColMajor>()));
CALL_SUBTEST_2((run_matrix_tests<float, Eigen::RowMajor>()));
CALL_SUBTEST_2((run_matrix_tests<float, Eigen::ColMajor>()));
CALL_SUBTEST_3((run_matrix_tests<double, Eigen::RowMajor>()));
CALL_SUBTEST_3((run_matrix_tests<double, Eigen::ColMajor>()));
CALL_SUBTEST_4((run_matrix_tests<std::complex<float>, Eigen::RowMajor>()));
CALL_SUBTEST_4((run_matrix_tests<std::complex<float>, Eigen::ColMajor>()));
CALL_SUBTEST_5((run_matrix_tests<std::complex<double>, Eigen::RowMajor>()));
CALL_SUBTEST_5((run_matrix_tests<std::complex<double>, Eigen::ColMajor>()));
CALL_SUBTEST_1((run_matrix_tests<int, Eigen::RowMajor | Eigen::DontAlign>()));
CALL_SUBTEST_1((run_vector_tests<int>()));
CALL_SUBTEST_2((run_vector_tests<float>()));
CALL_SUBTEST_3((run_vector_tests<double>()));
CALL_SUBTEST_4((run_vector_tests<std::complex<float> >()));
CALL_SUBTEST_5((run_vector_tests<std::complex<double> >()));
AnnoyingScalar::dont_throw = true;
CALL_SUBTEST_6(( run_vector_tests<AnnoyingScalar>() ));
CALL_SUBTEST_6(( noncopyable<0>() ));
}
}
|
