1 /* 2 * Copyright (c) 2017-2021 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_POOLING_LAYER_DATASET 25 #define ARM_COMPUTE_TEST_POOLING_LAYER_DATASET 26 27 #include "arm_compute/core/TensorShape.h" 28 #include "arm_compute/core/Types.h" 29 #include "utils/TypePrinter.h" 30 31 namespace arm_compute 32 { 33 namespace test 34 { 35 namespace datasets 36 { 37 class PoolingLayerDataset 38 { 39 public: 40 using type = std::tuple<TensorShape, PoolingLayerInfo>; 41 42 struct iterator 43 { iteratoriterator44 iterator(std::vector<TensorShape>::const_iterator src_it, 45 std::vector<PoolingLayerInfo>::const_iterator infos_it) 46 : _src_it{ std::move(src_it) }, 47 _infos_it{ std::move(infos_it) } 48 { 49 } 50 descriptioniterator51 std::string description() const 52 { 53 std::stringstream description; 54 description << "In=" << *_src_it << ":"; 55 description << "Info=" << *_infos_it << ":"; 56 return description.str(); 57 } 58 59 PoolingLayerDataset::type operator*() const 60 { 61 return std::make_tuple(*_src_it, *_infos_it); 62 } 63 64 iterator &operator++() 65 { 66 ++_src_it; 67 ++_infos_it; 68 69 return *this; 70 } 71 72 private: 73 std::vector<TensorShape>::const_iterator _src_it; 74 std::vector<PoolingLayerInfo>::const_iterator _infos_it; 75 }; 76 begin()77 iterator begin() const 78 { 79 return iterator(_src_shapes.begin(), _infos.begin()); 80 } 81 size()82 int size() const 83 { 84 return std::min(_src_shapes.size(), _infos.size()); 85 } 86 add_config(TensorShape src,PoolingLayerInfo info)87 void add_config(TensorShape src, PoolingLayerInfo info) 88 { 89 _src_shapes.emplace_back(std::move(src)); 90 _infos.emplace_back(std::move(info)); 91 } 92 93 protected: 94 PoolingLayerDataset() = default; 95 PoolingLayerDataset(PoolingLayerDataset &&) = default; 96 97 private: 98 std::vector<TensorShape> _src_shapes{}; 99 std::vector<PoolingLayerInfo> _infos{}; 100 }; 101 102 // Special pooling dataset 103 class PoolingLayerDatasetSpecial final : public PoolingLayerDataset 104 { 105 public: PoolingLayerDatasetSpecial()106 PoolingLayerDatasetSpecial() 107 { 108 // Special cases 109 add_config(TensorShape(2U, 3U, 4U, 1U), PoolingLayerInfo(PoolingType::AVG, Size2D(2, 2), DataLayout::NCHW, PadStrideInfo(3, 3, 0, 0), true)); 110 add_config(TensorShape(60U, 52U, 3U, 2U), PoolingLayerInfo(PoolingType::AVG, Size2D(100, 100), DataLayout::NCHW, PadStrideInfo(5, 5, 50, 50), true)); 111 // Asymmetric padding 112 add_config(TensorShape(112U, 112U, 32U), PoolingLayerInfo(PoolingType::MAX, 3, DataLayout::NCHW, PadStrideInfo(2, 2, 0, 1, 0, 1, DimensionRoundingType::FLOOR))); 113 add_config(TensorShape(14U, 14U, 832U), PoolingLayerInfo(PoolingType::MAX, 2, DataLayout::NCHW, PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::CEIL))); 114 } 115 }; 116 } // namespace datasets 117 } // namespace test 118 } // namespace arm_compute 119 #endif /* ARM_COMPUTE_TEST_POOLING_LAYER_DATASET */ 120