blob: c42d6c8ebd29431e2fab217b27552352bb70b8ba [file] [log] [blame]
Gian Marco Iodiced2fab732018-03-02 11:18:12 +00001/*
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_WINOGRAD_OUTPUT_TRANSFORM_DATASET
25#define ARM_COMPUTE_TEST_WINOGRAD_OUTPUT_TRANSFORM_DATASET
26
27#include "utils/TypePrinter.h"
28
29#include "arm_compute/core/TensorShape.h"
30
31namespace arm_compute
32{
33namespace test
34{
35namespace datasets
36{
37class WinogradOutputTransformDataset
38{
39public:
40 using type = std::tuple<TensorShape, Size2D, Size2D, Size2D, DataLayout>;
41
42 struct iterator
43 {
44 iterator(std::vector<TensorShape>::const_iterator a_it,
45 std::vector<Size2D>::const_iterator b_it,
46 std::vector<Size2D>::const_iterator c_it,
47 std::vector<Size2D>::const_iterator d_it,
48 std::vector<DataLayout>::const_iterator data_layout_it)
49 : _a_it{ std::move(a_it) },
50 _b_it{ std::move(b_it) },
51 _c_it{ std::move(c_it) },
52 _d_it{ std::move(d_it) },
53 _data_layout_it{ std::move(data_layout_it) }
54 {
55 }
56
57 std::string description() const
58 {
59 std::stringstream description;
60 description << "Input=" << *_a_it << ":";
61 description << "KernelDims=" << *_b_it << ":";
62 description << "OutputDims=" << *_c_it << ":";
63 description << "NumTiles=" << *_d_it << ":";
64 description << "DataLayout=" << *_data_layout_it;
65 return description.str();
66 }
67
68 WinogradOutputTransformDataset::type operator*() const
69 {
70 return std::make_tuple(*_a_it, *_b_it, *_c_it, *_d_it, *_data_layout_it);
71 }
72
73 iterator &operator++()
74 {
75 ++_a_it;
76 ++_b_it;
77 ++_c_it;
78 ++_d_it;
79 ++_data_layout_it;
80
81 return *this;
82 }
83
84 private:
85 std::vector<TensorShape>::const_iterator _a_it;
86 std::vector<Size2D>::const_iterator _b_it;
87 std::vector<Size2D>::const_iterator _c_it;
88 std::vector<Size2D>::const_iterator _d_it;
89 std::vector<DataLayout>::const_iterator _data_layout_it;
90 };
91
92 iterator begin() const
93 {
94 return iterator(_a_shapes.begin(), _b_dims.begin(), _c_dims.begin(), _d_dims.begin(), _data_layout.begin());
95 }
96
97 int size() const
98 {
99 return std::min(_a_shapes.size(), std::min(_b_dims.size(), std::min(_c_dims.size(), std::min(_d_dims.size(), _data_layout.size()))));
100 }
101
102 void add_config(TensorShape a, Size2D b, Size2D c, Size2D d, DataLayout data_layout)
103 {
104 _a_shapes.emplace_back(std::move(a));
105 _b_dims.emplace_back(std::move(b));
106 _c_dims.emplace_back(std::move(c));
107 _d_dims.emplace_back(std::move(d));
108 _data_layout.emplace_back(std::move(data_layout));
109 }
110
111protected:
112 WinogradOutputTransformDataset() = default;
113 WinogradOutputTransformDataset(WinogradOutputTransformDataset &&) = default;
114
115private:
116 std::vector<TensorShape> _a_shapes{};
117 std::vector<Size2D> _b_dims{};
118 std::vector<Size2D> _c_dims{};
119 std::vector<Size2D> _d_dims{};
120 std::vector<DataLayout> _data_layout{};
121};
122
123class SmallWinogradOutputTransformDataset final : public WinogradOutputTransformDataset
124{
125public:
126 SmallWinogradOutputTransformDataset()
127 {
128 add_config(TensorShape(24U, 49U, 16U), Size2D(3, 3), Size2D(14U, 14U), Size2D(7U, 7U), DataLayout::NCHW);
129 add_config(TensorShape(13U, 6U, 16U), Size2D(3, 3), Size2D(5U, 4U), Size2D(3U, 2U), DataLayout::NCHW);
130 add_config(TensorShape(7U, 20U, 16U), Size2D(3, 3), Size2D(8U, 9U), Size2D(4U, 5U), DataLayout::NCHW);
131 add_config(TensorShape(24U, 49U, 16U, 3U), Size2D(3, 3), Size2D(14U, 14U), Size2D(7U, 7U), DataLayout::NCHW);
132 add_config(TensorShape(13U, 6U, 16U, 2U), Size2D(3, 3), Size2D(5U, 4U), Size2D(3U, 2U), DataLayout::NCHW);
133 add_config(TensorShape(7U, 20U, 16U, 5U), Size2D(3, 3), Size2D(8U, 9U), Size2D(4U, 5U), DataLayout::NCHW);
134 }
135};
136
137class LargeWinogradOutputTransformDataset final : public WinogradOutputTransformDataset
138{
139public:
140 LargeWinogradOutputTransformDataset()
141 {
142 add_config(TensorShape(128U, 3136U, 16U), Size2D(3, 3), Size2D(112U, 112U), Size2D(56U, 56U), DataLayout::NCHW);
143 add_config(TensorShape(256U, 784U, 16U), Size2D(3, 3), Size2D(55U, 55U), Size2D(28U, 28U), DataLayout::NCHW);
144 add_config(TensorShape(512U, 169U, 16U), Size2D(3, 3), Size2D(26U, 26U), Size2D(13U, 13U), DataLayout::NCHW);
145 add_config(TensorShape(128U, 3136U, 16U, 3U), Size2D(3, 3), Size2D(112U, 112U), Size2D(56U, 56U), DataLayout::NCHW);
146 add_config(TensorShape(256U, 784U, 16U, 2U), Size2D(3, 3), Size2D(55U, 55U), Size2D(28U, 28U), DataLayout::NCHW);
147 add_config(TensorShape(512U, 169U, 16U, 5U), Size2D(3, 3), Size2D(26U, 26U), Size2D(13U, 13U), DataLayout::NCHW);
148 }
149};
150} // namespace datasets
151} // namespace test
152} // namespace arm_compute
153#endif /* ARM_COMPUTE_TEST_WINOGRAD_OUTPUT_TRANSFORM_DATASET */