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Giorgio Arena93a690e2017-08-01 16:09:33 +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_DEPTHWISE_CONVOLUTION_DATASET
25#define ARM_COMPUTE_TEST_DEPTHWISE_CONVOLUTION_DATASET
26
Anthony Barbier2a07e182017-08-04 18:20:27 +010027#include "utils/TypePrinter.h"
Giorgio Arena93a690e2017-08-01 16:09:33 +010028
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 DepthwiseConvolutionDataset
39{
40public:
41 using type = std::tuple<TensorShape, TensorShape, TensorShape, PadStrideInfo>;
42
43 struct iterator
44 {
45 iterator(std::vector<TensorShape>::const_iterator src_it,
46 std::vector<TensorShape>::const_iterator weights_it,
47 std::vector<TensorShape>::const_iterator dst_it,
48 std::vector<PadStrideInfo>::const_iterator infos_it)
49 : _src_it{ std::move(src_it) },
50 _weights_it{ std::move(weights_it) },
51 _dst_it{ std::move(dst_it) },
52 _infos_it{ std::move(infos_it) }
53 {
54 }
55
56 std::string description() const
57 {
58 std::stringstream description;
59 description << "In=" << *_src_it << ":";
60 description << "Weights=" << *_weights_it << ":";
61 description << "Out=" << *_dst_it << ":";
62 description << "Info=" << *_infos_it;
63 return description.str();
64 }
65
66 DepthwiseConvolutionDataset::type operator*() const
67 {
68 return std::make_tuple(*_src_it, *_weights_it, *_dst_it, *_infos_it);
69 }
70
71 iterator &operator++()
72 {
73 ++_src_it;
74 ++_weights_it;
75 ++_dst_it;
76 ++_infos_it;
77
78 return *this;
79 }
80
81 private:
82 std::vector<TensorShape>::const_iterator _src_it;
83 std::vector<TensorShape>::const_iterator _weights_it;
84 std::vector<TensorShape>::const_iterator _dst_it;
85 std::vector<PadStrideInfo>::const_iterator _infos_it;
86 };
87
88 iterator begin() const
89 {
90 return iterator(_src_shapes.begin(), _weight_shapes.begin(), _dst_shapes.begin(), _infos.begin());
91 }
92
93 int size() const
94 {
95 return std::min(_src_shapes.size(), std::min(_weight_shapes.size(), std::min(_dst_shapes.size(), _infos.size())));
96 }
97
98 void add_config(TensorShape src, TensorShape weights, TensorShape dst, PadStrideInfo info)
99 {
100 _src_shapes.emplace_back(std::move(src));
101 _weight_shapes.emplace_back(std::move(weights));
102 _dst_shapes.emplace_back(std::move(dst));
103 _infos.emplace_back(std::move(info));
104 }
105
106protected:
107 DepthwiseConvolutionDataset() = default;
108 DepthwiseConvolutionDataset(DepthwiseConvolutionDataset &&) = default;
109
110private:
111 std::vector<TensorShape> _src_shapes{};
112 std::vector<TensorShape> _weight_shapes{};
113 std::vector<TensorShape> _dst_shapes{};
114 std::vector<PadStrideInfo> _infos{};
115};
Giorgio Arena9fe41442017-08-23 16:36:24 +0100116class SmallDepthwiseConvolutionDataset final : public DepthwiseConvolutionDataset
117{
118public:
119 SmallDepthwiseConvolutionDataset()
120 {
121 add_config(TensorShape(7U, 7U, 3U), TensorShape(3U, 3U, 3U), TensorShape(5U, 5U, 3U), PadStrideInfo(1, 1, 0, 0));
122 add_config(TensorShape(23U, 27U, 5U), TensorShape(3U, 5U, 5U), TensorShape(11U, 23U, 5U), PadStrideInfo(2, 1, 0, 0));
123 add_config(TensorShape(33U, 27U, 7U), TensorShape(7U, 3U, 7U), TensorShape(10U, 13U, 7U), PadStrideInfo(3, 2, 1, 0));
Georgios Pinitasc26ecf82017-09-22 13:44:05 +0100124 add_config(TensorShape(33U, 27U, 11U), TensorShape(3U, 3U, 11U), TensorShape(31U, 14U, 11U), PadStrideInfo(1, 2, 0, 1));
Giorgio Arena9fe41442017-08-23 16:36:24 +0100125 add_config(TensorShape(17U, 31U, 2U), TensorShape(5U, 9U, 2U), TensorShape(15U, 13U, 2U), PadStrideInfo(1, 2, 1, 1));
126 add_config(TensorShape(23U, 27U, 5U), TensorShape(11U, 3U, 5U), TensorShape(13U, 13U, 5U), PadStrideInfo(1, 2, 0, 0));
127 add_config(TensorShape(17U, 31U, 2U, 3U), TensorShape(5U, 9U, 2U), TensorShape(15U, 13U, 2U, 3U), PadStrideInfo(1, 2, 1, 1));
Jaroslaw Rzepeckia1ed41f2017-10-13 11:13:58 +0100128 // Asymmetric padding
129 add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U), TensorShape(11U, 12U, 7U), PadStrideInfo(3, 2, 1, 1, 2, 0, DimensionRoundingType::FLOOR));
130 add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U), TensorShape(11U, 12U, 7U), PadStrideInfo(3, 2, 1, 1, 0, 2, DimensionRoundingType::FLOOR));
131 add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U), TensorShape(11U, 12U, 7U), PadStrideInfo(3, 2, 2, 1, 2, 0, DimensionRoundingType::FLOOR));
132 add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U), TensorShape(11U, 12U, 7U), PadStrideInfo(3, 2, 1, 3, 0, 2, DimensionRoundingType::FLOOR));
133 add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U), TensorShape(10U, 11U, 7U), PadStrideInfo(3, 2, 1, 0, 1, 0, DimensionRoundingType::FLOOR));
134 add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U), TensorShape(10U, 11U, 7U), PadStrideInfo(3, 2, 0, 1, 0, 1, DimensionRoundingType::FLOOR));
Giorgio Arena9fe41442017-08-23 16:36:24 +0100135 }
136};
137
138class LargeDepthwiseConvolutionDataset final : public DepthwiseConvolutionDataset
139{
140public:
141 LargeDepthwiseConvolutionDataset()
142 {
143 add_config(TensorShape(233U, 277U, 55U), TensorShape(3U, 3U, 55U), TensorShape(116U, 275U, 55U), PadStrideInfo(2, 1, 0, 0));
144 add_config(TensorShape(333U, 277U, 77U), TensorShape(3U, 3U, 77U), TensorShape(111U, 138U, 77U), PadStrideInfo(3, 2, 1, 0));
145 add_config(TensorShape(177U, 311U, 22U), TensorShape(3U, 3U, 22U), TensorShape(177U, 156U, 22U), PadStrideInfo(1, 2, 1, 1));
146 add_config(TensorShape(233U, 277U, 55U), TensorShape(3U, 3U, 55U), TensorShape(231U, 138U, 55U), PadStrideInfo(1, 2, 0, 0));
147 add_config(TensorShape(333U, 277U, 77U), TensorShape(3U, 3U, 77U), TensorShape(166U, 93U, 77U), PadStrideInfo(2, 3, 0, 1));
148 add_config(TensorShape(177U, 311U, 22U), TensorShape(3U, 3U, 22U), TensorShape(89U, 311U, 22U), PadStrideInfo(2, 1, 1, 1));
149 }
150};
151
Georgios Pinitasc26ecf82017-09-22 13:44:05 +0100152class SmallDepthwiseConvolutionDataset3x3 final : public DepthwiseConvolutionDataset
153{
154public:
155 SmallDepthwiseConvolutionDataset3x3()
156 {
157 add_config(TensorShape(7U, 7U, 3U), TensorShape(3U, 3U, 3U), TensorShape(5U, 5U, 3U), PadStrideInfo(1, 1, 0, 0));
158 add_config(TensorShape(33U, 27U, 11U), TensorShape(3U, 3U, 11U), TensorShape(11U, 14U, 11U), PadStrideInfo(3, 2, 1, 1));
159 add_config(TensorShape(21U, 31U, 9U), TensorShape(3U, 3U, 9U), TensorShape(21U, 15U, 9U), PadStrideInfo(1, 2, 1, 0));
160 add_config(TensorShape(33U, 27U, 11U), TensorShape(3U, 3U, 11U), TensorShape(31U, 14U, 11U), PadStrideInfo(1, 2, 0, 1));
161 }
162};
163
164class LargeDepthwiseConvolutionDataset3x3 final : public DepthwiseConvolutionDataset
165{
166public:
167 LargeDepthwiseConvolutionDataset3x3()
168 {
169 add_config(TensorShape(233U, 277U, 55U), TensorShape(3U, 3U, 55U), TensorShape(116U, 275U, 55U), PadStrideInfo(2, 1, 0, 0));
170 add_config(TensorShape(333U, 277U, 77U), TensorShape(3U, 3U, 77U), TensorShape(111U, 138U, 77U), PadStrideInfo(3, 2, 1, 0));
171 add_config(TensorShape(177U, 311U, 22U), TensorShape(3U, 3U, 22U), TensorShape(177U, 156U, 22U), PadStrideInfo(1, 2, 1, 1));
172 add_config(TensorShape(233U, 277U, 55U), TensorShape(3U, 3U, 55U), TensorShape(231U, 138U, 55U), PadStrideInfo(1, 2, 0, 0));
173 add_config(TensorShape(333U, 277U, 77U), TensorShape(3U, 3U, 77U), TensorShape(166U, 93U, 77U), PadStrideInfo(2, 3, 0, 1));
174 add_config(TensorShape(177U, 311U, 22U), TensorShape(3U, 3U, 22U), TensorShape(89U, 311U, 22U), PadStrideInfo(2, 1, 1, 1));
175 }
176};
Giorgio Arena93a690e2017-08-01 16:09:33 +0100177} // namespace datasets
178} // namespace test
179} // namespace arm_compute
180#endif /* ARM_COMPUTE_TEST_DEPTHWISE_CONVOLUTION_DATASET */