1 /* 2 * Copyright (c) 2018-2019 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_PRIORBOX_LAYER_DATASET 25 #define ARM_COMPUTE_TEST_PRIORBOX_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 PriorBoxLayerDataset 39 { 40 public: 41 using type = std::tuple<TensorShape, PriorBoxLayerInfo>; 42 43 struct iterator 44 { iteratoriterator45 iterator(std::vector<TensorShape>::const_iterator src_it, 46 std::vector<PriorBoxLayerInfo>::const_iterator infos_it) 47 : _src_it{ std::move(src_it) }, 48 _infos_it{ std::move(infos_it) } 49 { 50 } 51 descriptioniterator52 std::string description() const 53 { 54 std::stringstream description; 55 description << "In=" << *_src_it << ":"; 56 description << "Info=" << *_infos_it << ":"; 57 return description.str(); 58 } 59 60 PriorBoxLayerDataset::type operator*() const 61 { 62 return std::make_tuple(*_src_it, *_infos_it); 63 } 64 65 iterator &operator++() 66 { 67 ++_src_it; 68 ++_infos_it; 69 70 return *this; 71 } 72 73 private: 74 std::vector<TensorShape>::const_iterator _src_it; 75 std::vector<PriorBoxLayerInfo>::const_iterator _infos_it; 76 }; 77 begin()78 iterator begin() const 79 { 80 return iterator(_src_shapes.begin(), _infos.begin()); 81 } 82 size()83 int size() const 84 { 85 return std::min(_src_shapes.size(), _infos.size()); 86 } 87 add_config(TensorShape src,PriorBoxLayerInfo info)88 void add_config(TensorShape src, PriorBoxLayerInfo info) 89 { 90 _src_shapes.emplace_back(std::move(src)); 91 _infos.emplace_back(std::move(info)); 92 } 93 94 protected: 95 PriorBoxLayerDataset() = default; 96 PriorBoxLayerDataset(PriorBoxLayerDataset &&) = default; 97 98 private: 99 std::vector<TensorShape> _src_shapes{}; 100 std::vector<PriorBoxLayerInfo> _infos{}; 101 }; 102 103 class SmallPriorBoxLayerDataset final : public PriorBoxLayerDataset 104 { 105 public: SmallPriorBoxLayerDataset()106 SmallPriorBoxLayerDataset() 107 { 108 std::vector<float> min_val = { 30.f }; 109 std::vector<float> var = { 0.1, 0.1, 0.2, 0.2 }; 110 std::vector<float> max_val = { 60.f }; 111 std::vector<float> aspect_ratio = { 2.f }; 112 std::array<float, 2> steps = { { 8.f, 8.f } }; 113 add_config(TensorShape(4U, 4U), PriorBoxLayerInfo(min_val, var, 0.5f, true, false, max_val, aspect_ratio, Coordinates2D{ 8, 8 }, steps)); 114 } 115 }; 116 117 class LargePriorBoxLayerDataset final : public PriorBoxLayerDataset 118 { 119 public: LargePriorBoxLayerDataset()120 LargePriorBoxLayerDataset() 121 { 122 std::vector<float> min_val = { 30.f }; 123 std::vector<float> var = { 0.1, 0.1, 0.2, 0.2 }; 124 std::vector<float> max_val = { 60.f }; 125 std::vector<float> aspect_ratio = { 2.f }; 126 std::array<float, 2> steps = { { 8.f, 8.f } }; 127 add_config(TensorShape(150U, 245U, 4U, 12U), PriorBoxLayerInfo(min_val, var, 0.5f, true, false, max_val, aspect_ratio, Coordinates2D{ 8, 8 }, steps)); 128 } 129 }; 130 } // namespace datasets 131 } // namespace test 132 } // namespace arm_compute 133 #endif /* ARM_COMPUTE_TEST_PRIORBOX_LAYER_DATASET */ 134