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Michele Di Giorgio980002b2018-08-08 09:25:51 +01001/*
2 * Copyright (c) 2018 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_COL2IM_DATASET
25#define ARM_COMPUTE_TEST_COL2IM_DATASET
26
27#include "utils/TypePrinter.h"
28
29#include "arm_compute/core/TensorShape.h"
30#include "arm_compute/core/Types.h"
31
32namespace arm_compute
33{
34namespace test
35{
36namespace datasets
37{
38class Col2ImLayerDataset
39{
40public:
41 using type = std::tuple<TensorShape, unsigned int, unsigned int, unsigned int>;
42
43 struct iterator
44 {
45 iterator(std::vector<TensorShape>::const_iterator src_it,
46 std::vector<unsigned int>::const_iterator convolved_width_it,
47 std::vector<unsigned int>::const_iterator convolved_height_it,
48 std::vector<unsigned int>::const_iterator num_groups_it)
49 : _src_it{ std::move(src_it) },
50 _convolved_width_it{ std::move(convolved_width_it) },
51 _convolved_height_it{ std::move(convolved_height_it) },
52 _num_groups_it{ std::move(num_groups_it) }
53 {
54 }
55
56 std::string description() const
57 {
58 std::stringstream description;
59 description << "In=" << *_src_it << ":";
60 description << "ConvolvedWidth=" << *_convolved_width_it << ":";
61 description << "ConvolvedHeight=" << *_convolved_height_it << ":";
62 description << "NumGroups=" << *_num_groups_it;
63 return description.str();
64 }
65
66 Col2ImLayerDataset::type operator*() const
67 {
68 return std::make_tuple(*_src_it, *_convolved_width_it, *_convolved_height_it, *_num_groups_it);
69 }
70
71 iterator &operator++()
72 {
73 ++_src_it;
74 ++_convolved_width_it;
75 ++_convolved_height_it;
76 ++_num_groups_it;
77
78 return *this;
79 }
80
81 private:
82 std::vector<TensorShape>::const_iterator _src_it;
83 std::vector<unsigned int>::const_iterator _convolved_width_it;
84 std::vector<unsigned int>::const_iterator _convolved_height_it;
85 std::vector<unsigned int>::const_iterator _num_groups_it;
86 };
87
88 iterator begin() const
89 {
90 return iterator(_src_shapes.begin(), _convolved_widths.begin(), _convolved_heights.begin(), _num_groups.begin());
91 }
92
93 int size() const
94 {
95 return std::min(_src_shapes.size(), std::min(_convolved_widths.size(), std::min(_convolved_heights.size(), _num_groups.size())));
96 }
97
98 void add_config(TensorShape src, unsigned int convolved_width, unsigned int convolved_height, unsigned int info)
99 {
100 _src_shapes.emplace_back(std::move(src));
101 _convolved_widths.emplace_back(std::move(convolved_width));
102 _convolved_heights.emplace_back(std::move(convolved_height));
103 _num_groups.emplace_back(std::move(info));
104 }
105
106protected:
107 Col2ImLayerDataset() = default;
108 Col2ImLayerDataset(Col2ImLayerDataset &&) = default;
109
110private:
111 std::vector<TensorShape> _src_shapes{};
112 std::vector<unsigned int> _convolved_widths{};
113 std::vector<unsigned int> _convolved_heights{};
114 std::vector<unsigned int> _num_groups{};
115};
116
117/** Dataset containing small grouped col2im shapes. */
118class SmallGroupedCol2ImLayerDataset final : public Col2ImLayerDataset
119{
120public:
121 SmallGroupedCol2ImLayerDataset()
122 {
123 add_config(TensorShape(10U, 12U, 1U, 1U), 3U, 4U, 1U);
124 add_config(TensorShape(12U, 30U, 1U, 2U), 5U, 6U, 1U);
125 add_config(TensorShape(12U, 30U, 4U, 1U), 5U, 6U, 1U);
126 add_config(TensorShape(10U, 12U, 2U, 4U), 3U, 4U, 2U);
127 add_config(TensorShape(10U, 12U, 2U, 4U), 3U, 4U, 2U);
128 add_config(TensorShape(8U, 16U, 3U, 1U), 4U, 4U, 3U);
129 add_config(TensorShape(8U, 16U, 3U, 3U), 4U, 4U, 3U);
130 add_config(TensorShape(12U, 20U, 4U, 1U), 5U, 4U, 4U);
Georgios Pinitase55b40a2018-09-13 17:20:04 +0100131 add_config(TensorShape(12U, 20U, 4U, 3U, 2U), 5U, 4U, 4U);
Michele Di Giorgio980002b2018-08-08 09:25:51 +0100132 }
133};
134
135/** Dataset containing large grouped col2im shapes. */
136class LargeGroupedCol2ImLayerDataset final : public Col2ImLayerDataset
137{
138public:
139 LargeGroupedCol2ImLayerDataset()
140 {
141 add_config(TensorShape(233U, 280U, 1U, 55U), 14U, 20U, 1U);
142 add_config(TensorShape(333U, 280U, 1U, 77U), 14U, 20U, 1U);
143 add_config(TensorShape(333U, 280U, 77U, 1U), 14U, 20U, 1U);
144 add_config(TensorShape(120U, 300U, 8U, 3U), 20U, 15U, 8U);
Georgios Pinitase55b40a2018-09-13 17:20:04 +0100145 add_config(TensorShape(233U, 300U, 8U, 3U, 2U), 20U, 15U, 8U);
Michele Di Giorgio980002b2018-08-08 09:25:51 +0100146 add_config(TensorShape(333U, 280U, 12U, 5U), 20U, 14U, 12U);
147 add_config(TensorShape(177U, 300U, 12U, 5U), 15U, 20U, 12U);
148 add_config(TensorShape(450U, 400U, 16U, 5U), 20U, 20U, 16U);
149 add_config(TensorShape(220U, 400U, 16U, 5U), 20U, 20U, 16U);
150 }
151};
152} // namespace datasets
153} // namespace test
154} // namespace arm_compute
155#endif /* ARM_COMPUTE_TEST_COL2IM_DATASET */