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_ROI_ALIGN_LAYER_DATASET 25 #define ARM_COMPUTE_TEST_ROI_ALIGN_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 ROIDataset 39 { 40 public: 41 using type = std::tuple<TensorShape, ROIPoolingLayerInfo, TensorShape>; 42 43 struct iterator 44 { iteratoriterator45 iterator(std::vector<TensorShape>::const_iterator tensor_shape_it, 46 std::vector<ROIPoolingLayerInfo>::const_iterator infos_it, 47 std::vector<TensorShape>::const_iterator rois_shape_it) 48 : _tensor_shape_it{ std::move(tensor_shape_it) }, 49 _infos_it{ std::move(infos_it) }, 50 _rois_shape_it{ std::move(rois_shape_it) } 51 { 52 } 53 descriptioniterator54 std::string description() const 55 { 56 std::stringstream description; 57 description << "In=" << *_tensor_shape_it << ":"; 58 description << "Info=" << *_infos_it << ":"; 59 description << "ROIS=" << *_rois_shape_it; 60 return description.str(); 61 } 62 63 ROIDataset::type operator*() const 64 { 65 return std::make_tuple(*_tensor_shape_it, *_infos_it, *_rois_shape_it); 66 } 67 68 iterator &operator++() 69 { 70 ++_tensor_shape_it; 71 ++_infos_it; 72 ++_rois_shape_it; 73 74 return *this; 75 } 76 77 private: 78 std::vector<TensorShape>::const_iterator _tensor_shape_it; 79 std::vector<ROIPoolingLayerInfo>::const_iterator _infos_it; 80 std::vector<TensorShape>::const_iterator _rois_shape_it; 81 }; 82 begin()83 iterator begin() const 84 { 85 return iterator(_tensor_shapes.begin(), _infos.begin(), _rois_shape.begin()); 86 } 87 size()88 int size() const 89 { 90 return std::min(std::min(_tensor_shapes.size(), _infos.size()), _rois_shape.size()); 91 } 92 add_config(TensorShape tensor_shape,ROIPoolingLayerInfo info,TensorShape rois_shape)93 void add_config(TensorShape tensor_shape, ROIPoolingLayerInfo info, TensorShape rois_shape) 94 { 95 _tensor_shapes.emplace_back(std::move(tensor_shape)); 96 _infos.emplace_back(std::move(info)); 97 _rois_shape.emplace_back(std::move(rois_shape)); 98 } 99 100 protected: 101 ROIDataset() = default; 102 ROIDataset(ROIDataset &&) = default; 103 104 private: 105 std::vector<TensorShape> _tensor_shapes{}; 106 std::vector<ROIPoolingLayerInfo> _infos{}; 107 std::vector<TensorShape> _rois_shape{}; 108 }; 109 110 class SmallROIDataset final : public ROIDataset 111 { 112 public: SmallROIDataset()113 SmallROIDataset() 114 { 115 add_config(TensorShape(50U, 47U, 1U, 1U), ROIPoolingLayerInfo(7U, 7U, 1.f / 4.f), TensorShape(5U, 1U)); 116 add_config(TensorShape(50U, 47U, 3U, 4U), ROIPoolingLayerInfo(7U, 7U, 1.f / 4.f), TensorShape(5U, 1U)); 117 add_config(TensorShape(50U, 47U, 3U, 1U), ROIPoolingLayerInfo(7U, 7U, 1.f / 4.f), TensorShape(5U, 10U)); 118 add_config(TensorShape(50U, 47U, 10U, 1U), ROIPoolingLayerInfo(7U, 7U, 1.f / 4.f), TensorShape(5U, 80U)); 119 120 //Spatial Scale 1/4 121 add_config(TensorShape(50U, 47U, 80U, 4U), ROIPoolingLayerInfo(7U, 7U, 1.f / 4.f), TensorShape(5U, 80U)); 122 add_config(TensorShape(50U, 47U, 3U, 1U), ROIPoolingLayerInfo(9U, 9U, 1.f / 4.f), TensorShape(5U, 40U)); 123 add_config(TensorShape(50U, 47U, 10U, 1U), ROIPoolingLayerInfo(9U, 9U, 1.f / 4.f), TensorShape(5U, 80U)); 124 add_config(TensorShape(50U, 47U, 80U, 8U), ROIPoolingLayerInfo(9U, 9U, 1.f / 4.f), TensorShape(5U, 80U)); 125 126 //Spatial Scale 1/8 127 add_config(TensorShape(50U, 47U, 80U, 4U), ROIPoolingLayerInfo(7U, 7U, 1.f / 8.f), TensorShape(5U, 80U)); 128 add_config(TensorShape(50U, 47U, 3U, 1U), ROIPoolingLayerInfo(9U, 9U, 1.f / 8.f), TensorShape(5U, 40U)); 129 add_config(TensorShape(50U, 47U, 10U, 1U), ROIPoolingLayerInfo(9U, 9U, 1.f / 8.f), TensorShape(5U, 80U)); 130 add_config(TensorShape(50U, 47U, 80U, 8U), ROIPoolingLayerInfo(9U, 9U, 1.f / 8.f), TensorShape(5U, 80U)); 131 132 //Spatial Scale 1/16 133 add_config(TensorShape(50U, 47U, 80U, 4U), ROIPoolingLayerInfo(7U, 7U, 1.f / 16.f), TensorShape(5U, 80U)); 134 add_config(TensorShape(50U, 47U, 3U, 1U), ROIPoolingLayerInfo(9U, 9U, 1.f / 16.f), TensorShape(5U, 40U)); 135 add_config(TensorShape(50U, 47U, 10U, 1U), ROIPoolingLayerInfo(9U, 9U, 1.f / 16.f), TensorShape(5U, 80U)); 136 add_config(TensorShape(50U, 47U, 80U, 8U), ROIPoolingLayerInfo(9U, 9U, 1.f / 16.f), TensorShape(5U, 80U)); 137 } 138 }; 139 140 } // namespace datasets 141 } // namespace test 142 } // namespace arm_compute 143 #endif /* ARM_COMPUTE_TEST_ROI_ALIGN_LAYER_DATASET */ 144