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Moritz Pflanzer69e44dc2017-07-05 11:02:14 +01001/*
2 * Copyright (c) 2017 ARM Limited.
3 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24#ifndef ARM_COMPUTE_TEST_DATASET_CARTESIAN_PRODUCT
25#define ARM_COMPUTE_TEST_DATASET_CARTESIAN_PRODUCT
26
27#include "Dataset.h"
28
29#include <string>
30#include <tuple>
31#include <utility>
32
33namespace arm_compute
34{
35namespace test
36{
37namespace framework
38{
39namespace dataset
40{
41/** Implementation of a dataset representing all combinations of values of the input datasets.
42 *
43 * For example, for the inputs {1, 2} and {3, 4} this dataset virtually
44 * represents the values {(1, 3), (1, 4), (2, 3), (2, 4)}.
45 */
46template <typename T, typename U>
47class CartesianProductDataset : public Dataset
48{
49private:
Moritz Pflanzerfce87952017-07-19 10:02:07 +010050 using T_noref = typename std::remove_reference<T>::type;
51 using U_noref = typename std::remove_reference<U>::type;
52 using iter1_type = typename T_noref::iterator;
53 using iter2_type = typename U_noref::iterator;
Moritz Pflanzer69e44dc2017-07-05 11:02:14 +010054
55public:
56 /** Construct dataset from the given datasets.
57 *
58 * @param[in] dataset1 First dataset.
59 * @param[in] dataset2 Second dataset.
60 */
61 CartesianProductDataset(T &&dataset1, U &&dataset2)
62 : _dataset1{ std::forward<T>(dataset1) },
63 _dataset2{ std::forward<U>(dataset2) }
64 {
65 }
66
67 CartesianProductDataset(CartesianProductDataset &&) = default;
68
69 /** Type of the dataset. */
70 using type = decltype(std::tuple_cat(*std::declval<iter1_type>(), *std::declval<iter2_type>()));
71
72 /** Iterator for the dataset. */
73 struct iterator
74 {
Moritz Pflanzerfce87952017-07-19 10:02:07 +010075 iterator(const T_noref *dataset1, const U_noref *dataset2)
Moritz Pflanzer69e44dc2017-07-05 11:02:14 +010076 : _iter1{ dataset1->begin() },
77 _dataset2{ dataset2 },
78 _iter2{ dataset2->begin() }
79 {
80 }
81
82 iterator(const iterator &) = default;
83 iterator &operator=(const iterator &) = default;
84 iterator(iterator &&) = default;
85 iterator &operator=(iterator &&) = default;
86
87 ~iterator() = default;
88
89 std::string description() const
90 {
91 return _iter1.description() + ":" + _iter2.description();
92 }
93
94 CartesianProductDataset::type operator*() const
95 {
96 return std::tuple_cat(*_iter1, *_iter2);
97 }
98
99 iterator &operator++()
100 {
101 ++_second_pos;
102
103 if(_second_pos < _dataset2->size())
104 {
105 ++_iter2;
106 }
107 else
108 {
109 _second_pos = 0;
110 _iter2 = _dataset2->begin();
111
112 ++_iter1;
113 }
114
115 return *this;
116 }
117
118 private:
Moritz Pflanzerfce87952017-07-19 10:02:07 +0100119 iter1_type _iter1;
120 const U_noref *_dataset2;
121 iter2_type _iter2;
122 int _first_pos{ 0 };
123 int _second_pos{ 0 };
Moritz Pflanzer69e44dc2017-07-05 11:02:14 +0100124 };
125
126 /** Iterator pointing at the begin of the dataset.
127 *
128 * @return Iterator for the dataset.
129 */
130 iterator begin() const
131 {
132 return iterator(&_dataset1, &_dataset2);
133 }
134
135 /** Size of the dataset.
136 *
137 * @return Number of values in the dataset.
138 */
139 int size() const
140 {
141 return _dataset1.size() * _dataset2.size();
142 }
143
144private:
145 T _dataset1;
146 U _dataset2;
147};
148
149/** Helper function to create a @ref CartesianProductDataset.
150 *
151 * @param[in] dataset1 First dataset.
152 * @param[in] dataset2 Second dataset.
153 *
154 * @return A grid dataset.
155 */
156template <typename T, typename U>
157CartesianProductDataset<T, U> combine(T &&dataset1, U &&dataset2)
158{
159 return CartesianProductDataset<T, U>(std::forward<T>(dataset1), std::forward<U>(dataset2));
160}
161} // namespace dataset
162} // namespace framework
163} // namespace test
164} // namespace arm_compute
165#endif /* ARM_COMPUTE_TEST_DATASET_CARTESIAN_PRODUCT */