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1 /*
2  * Copyright (c) 2019 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_DEPTH_TO_SPACE_LAYER_DATASET
25 #define ARM_COMPUTE_TEST_DEPTH_TO_SPACE_LAYER_DATASET
26 
27 #include "utils/TypePrinter.h"
28 
29 #include "arm_compute/core/TensorShape.h"
30 #include "arm_compute/core/Types.h"
31 
32 namespace arm_compute
33 {
34 namespace test
35 {
36 namespace datasets
37 {
38 class DepthToSpaceLayerDataset
39 {
40 public:
41     using type = std::tuple<TensorShape, int32_t, TensorShape>;
42 
43     struct iterator
44     {
iteratoriterator45         iterator(std::vector<TensorShape>::const_iterator src_it,
46                  std::vector<int32_t>::const_iterator     block_shape_it,
47                  std::vector<TensorShape>::const_iterator dst_it)
48             : _src_it{ std::move(src_it) },
49               _block_shape_it{ std::move(block_shape_it) },
50               _dst_it{ std::move(dst_it) }
51         {
52         }
53 
descriptioniterator54         std::string description() const
55         {
56             std::stringstream description;
57             description << "In=" << *_src_it << ":";
58             description << "BlockShape=" << *_block_shape_it << ":";
59             description << "Out=" << *_dst_it;
60             return description.str();
61         }
62 
63         DepthToSpaceLayerDataset::type operator*() const
64         {
65             return std::make_tuple(*_src_it, *_block_shape_it, *_dst_it);
66         }
67 
68         iterator &operator++()
69         {
70             ++_src_it;
71             ++_block_shape_it;
72             ++_dst_it;
73 
74             return *this;
75         }
76 
77     private:
78         std::vector<TensorShape>::const_iterator _src_it;
79         std::vector<int32_t>::const_iterator     _block_shape_it;
80         std::vector<TensorShape>::const_iterator _dst_it;
81     };
82 
begin()83     iterator begin() const
84     {
85         return iterator(_src_shapes.begin(), _block_shape.begin(), _dst_shapes.begin());
86     }
87 
size()88     int size() const
89     {
90         return std::min(_src_shapes.size(), std::min(_block_shape.size(), _dst_shapes.size()));
91     }
92 
add_config(TensorShape src,int32_t block_shape,TensorShape dst)93     void add_config(TensorShape src, int32_t block_shape, TensorShape dst)
94     {
95         _src_shapes.emplace_back(std::move(src));
96         _block_shape.emplace_back(std::move(block_shape));
97         _dst_shapes.emplace_back(std::move(dst));
98     }
99 
100 protected:
101     DepthToSpaceLayerDataset()                            = default;
102     DepthToSpaceLayerDataset(DepthToSpaceLayerDataset &&) = default;
103 
104 private:
105     std::vector<TensorShape> _src_shapes{};
106     std::vector<int32_t>     _block_shape{};
107     std::vector<TensorShape> _dst_shapes{};
108 };
109 
110 class SmallDepthToSpaceLayerDataset final : public DepthToSpaceLayerDataset
111 {
112 public:
SmallDepthToSpaceLayerDataset()113     SmallDepthToSpaceLayerDataset()
114     {
115         add_config(TensorShape(1U, 1U, 4U, 4U), 2U, TensorShape(2U, 2U, 1U, 4U));
116         add_config(TensorShape(3U, 1U, 4U, 4U), 2U, TensorShape(6U, 2U, 1U, 4U));
117         add_config(TensorShape(1U, 2U, 4U, 4U), 2U, TensorShape(2U, 4U, 1U, 4U));
118         add_config(TensorShape(1U, 3U, 4U, 8U), 2U, TensorShape(2U, 6U, 1U, 8U));
119         add_config(TensorShape(3U, 4U, 4U, 4U), 2U, TensorShape(6U, 8U, 1U, 4U));
120         add_config(TensorShape(1U, 1U, 16U, 8U), 4U, TensorShape(4U, 4U, 1U, 8U));
121         add_config(TensorShape(1U, 1U, 8U), 2U, TensorShape(2U, 2U, 2U));
122     }
123 };
124 
125 class LargeDepthToSpaceLayerDataset final : public DepthToSpaceLayerDataset
126 {
127 public:
LargeDepthToSpaceLayerDataset()128     LargeDepthToSpaceLayerDataset()
129     {
130         add_config(TensorShape(64U, 32U, 4U), 2U, TensorShape(128U, 64U, 1U));
131         add_config(TensorShape(128U, 16U, 16U), 4U, TensorShape(512U, 64U, 1U));
132         add_config(TensorShape(16U, 8U, 8U), 2U, TensorShape(32U, 16U, 2U));
133         add_config(TensorShape(8U, 16U, 16U), 2U, TensorShape(16U, 32U, 4U));
134     }
135 };
136 } // namespace datasets
137 } // namespace test
138 } // namespace arm_compute
139 #endif /* ARM_COMPUTE_TEST_DEPTH_TO_SPACE_LAYER_DATASET */
140