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
|
/*
* (C) Copyright 1996- ECMWF.
*
* This software is licensed under the terms of the Apache Licence Version 2.0
* which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
* In applying this licence, ECMWF does not waive the privileges and immunities
* granted to it by virtue of its status as an intergovernmental organisation
* nor does it submit to any jurisdiction.
*/
#pragma once
#include <cstdarg>
#include "eckit/linalg/Matrix.h"
#include "eckit/linalg/SparseMatrix.h"
#include "eckit/linalg/Tensor.h"
#include "eckit/linalg/Vector.h"
#include "eckit/testing/Test.h"
namespace eckit::test {
//----------------------------------------------------------------------------------------------------------------------
linalg::Vector V(linalg::Size s, ...) {
using linalg::Scalar;
using linalg::Size;
using linalg::Vector;
Vector vec(s);
va_list args;
va_start(args, s);
for (Size i = 0; i < s; ++i) {
vec[i] = va_arg(args, Scalar);
}
va_end(args);
return vec;
}
linalg::Matrix M(linalg::Size rows, linalg::Size cols, ...) {
using linalg::Matrix;
using linalg::Scalar;
using linalg::Size;
Matrix mat(rows, cols);
va_list args;
va_start(args, cols);
for (Size r = 0; r < rows; ++r) {
for (Size c = 0; c < cols; ++c) {
mat(r, c) = va_arg(args, Scalar);
}
}
va_end(args);
return mat;
}
linalg::SparseMatrix S(linalg::Size rows, linalg::Size cols, linalg::Size nnz, ...) {
using linalg::Scalar;
using linalg::Size;
using linalg::Triplet;
va_list args;
va_start(args, nnz);
std::vector<Triplet> triplets;
for (Size n = 0; n < nnz; ++n) {
Size row = Size(va_arg(args, int));
Size col = Size(va_arg(args, int));
Scalar v = va_arg(args, Scalar);
triplets.push_back(Triplet(row, col, v));
}
va_end(args);
linalg::SparseMatrix mat(rows, cols, triplets);
// ECKIT_DEBUG_VAR(mat.nonZeros());
// ECKIT_DEBUG_VAR(mat.rows());
// ECKIT_DEBUG_VAR(mat.cols());
return mat;
}
linalg::TensorDouble TD(std::vector<linalg::Size> shape, ...) {
using linalg::Scalar;
using linalg::Size;
using linalg::TensorDouble;
Size size = linalg::TensorDouble::flatSize(shape);
TensorDouble t(shape);
va_list args;
va_start(args, shape);
for (Size i = 0; i < size; ++i) {
t[i] = va_arg(args, Scalar);
}
va_end(args);
return t;
}
linalg::TensorFloat TF(std::vector<linalg::Size> shape, ...) {
using linalg::Scalar;
using linalg::Size;
using linalg::TensorFloat;
Size size = linalg::TensorFloat::flatSize(shape);
TensorFloat t(shape);
va_list args;
va_start(args, shape);
for (Size i = 0; i < size; ++i) {
t[i] = va_arg(args, Scalar);
}
va_end(args);
return t;
}
//----------------------------------------------------------------------------------------------------------------------
template <typename T>
bool equal_array(T* v, T* r, size_t s) {
return testing::make_view(v, s) == testing::make_view(r, s);
}
template <typename T>
bool equal_dense_matrix(const T& a, const T& b) {
return a.size() == b.size() &&
testing::make_view(a.data(), a.data() + a.size()) == testing::make_view(b.data(), b.data() + b.size());
}
template <typename T>
bool equal_dense_matrix(const T& v, const T& r, size_t s) {
return is_approximately_equal(testing::make_view(v.data(), s), testing::make_view(r.data(), s), 0.1);
}
bool equal_sparse_matrix(const linalg::SparseMatrix& A, const linalg::Index* outer, const linalg::Index* inner,
const linalg::Scalar* data) {
return equal_array(A.outer(), outer, A.rows() + 1) && equal_array(A.inner(), inner, A.nonZeros()) &&
equal_array(A.data(), data, A.nonZeros());
}
//----------------------------------------------------------------------------------------------------------------------
} // namespace eckit::test
|
