1 /* 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_SPACE_TO_BATCH_LAYER_DATASET 25 #define ARM_COMPUTE_TEST_SPACE_TO_BATCH_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 SpaceToBatchLayerDataset 39 { 40 public: 41 using type = std::tuple<TensorShape, TensorShape, TensorShape, TensorShape>; 42 43 struct iterator 44 { iteratoriterator45 iterator(std::vector<TensorShape>::const_iterator src_it, 46 std::vector<TensorShape>::const_iterator block_shape_it, 47 std::vector<TensorShape>::const_iterator paddings_shape_it, 48 std::vector<TensorShape>::const_iterator dst_it) 49 : _src_it{ std::move(src_it) }, 50 _block_shape_it{ std::move(block_shape_it) }, 51 _paddings_shape_it{ std::move(paddings_shape_it) }, 52 _dst_it{ std::move(dst_it) } 53 { 54 } 55 descriptioniterator56 std::string description() const 57 { 58 std::stringstream description; 59 description << "In=" << *_src_it << ":"; 60 description << "BlockShape=" << *_block_shape_it << ":"; 61 description << "PaddingsShape=" << *_paddings_shape_it << ":"; 62 description << "Out=" << *_dst_it; 63 return description.str(); 64 } 65 66 SpaceToBatchLayerDataset::type operator*() const 67 { 68 return std::make_tuple(*_src_it, *_block_shape_it, *_paddings_shape_it, *_dst_it); 69 } 70 71 iterator &operator++() 72 { 73 ++_src_it; 74 ++_block_shape_it; 75 ++_paddings_shape_it; 76 ++_dst_it; 77 78 return *this; 79 } 80 81 private: 82 std::vector<TensorShape>::const_iterator _src_it; 83 std::vector<TensorShape>::const_iterator _block_shape_it; 84 std::vector<TensorShape>::const_iterator _paddings_shape_it; 85 std::vector<TensorShape>::const_iterator _dst_it; 86 }; 87 begin()88 iterator begin() const 89 { 90 return iterator(_src_shapes.begin(), _block_shape_shapes.begin(), _padding_shapes.begin(), _dst_shapes.begin()); 91 } 92 size()93 int size() const 94 { 95 return std::min(_src_shapes.size(), std::min(_block_shape_shapes.size(), std::min(_padding_shapes.size(), _dst_shapes.size()))); 96 } 97 add_config(TensorShape src,TensorShape block_shape,TensorShape padding_shapes,TensorShape dst)98 void add_config(TensorShape src, TensorShape block_shape, TensorShape padding_shapes, TensorShape dst) 99 { 100 _src_shapes.emplace_back(std::move(src)); 101 _block_shape_shapes.emplace_back(std::move(block_shape)); 102 _padding_shapes.emplace_back(std::move(padding_shapes)); 103 _dst_shapes.emplace_back(std::move(dst)); 104 } 105 106 protected: 107 SpaceToBatchLayerDataset() = default; 108 SpaceToBatchLayerDataset(SpaceToBatchLayerDataset &&) = default; 109 110 private: 111 std::vector<TensorShape> _src_shapes{}; 112 std::vector<TensorShape> _block_shape_shapes{}; 113 std::vector<TensorShape> _padding_shapes{}; 114 std::vector<TensorShape> _dst_shapes{}; 115 }; 116 117 class SmallSpaceToBatchLayerDataset final : public SpaceToBatchLayerDataset 118 { 119 public: SmallSpaceToBatchLayerDataset()120 SmallSpaceToBatchLayerDataset() 121 { 122 add_config(TensorShape(2U, 2U, 1U, 1U), TensorShape(2U), TensorShape(2U, 2U), TensorShape(1U, 1U, 1U, 4U)); 123 add_config(TensorShape(6U, 2U, 1U, 1U), TensorShape(2U), TensorShape(2U, 2U), TensorShape(3U, 1U, 1U, 4U)); 124 add_config(TensorShape(2U, 4U, 2U, 1U), TensorShape(2U), TensorShape(2U, 2U), TensorShape(1U, 2U, 2U, 4U)); 125 add_config(TensorShape(2U, 6U, 1U, 2U), TensorShape(2U), TensorShape(2U, 2U), TensorShape(1U, 3U, 1U, 8U)); 126 add_config(TensorShape(6U, 8U, 1U, 1U), TensorShape(2U), TensorShape(2U, 2U), TensorShape(3U, 4U, 1U, 4U)); 127 add_config(TensorShape(6U, 8U, 15U, 5U), TensorShape(2U), TensorShape(2U, 2U), TensorShape(3U, 4U, 15U, 20U)); 128 } 129 }; 130 class LargeSpaceToBatchLayerDataset final : public SpaceToBatchLayerDataset 131 { 132 public: LargeSpaceToBatchLayerDataset()133 LargeSpaceToBatchLayerDataset() 134 { 135 add_config(TensorShape(128U, 64U, 2U, 1U), TensorShape(2U), TensorShape(2U, 2U), TensorShape(64U, 32U, 2U, 4U)); 136 add_config(TensorShape(512U, 64U, 2U, 1U), TensorShape(2U), TensorShape(2U, 2U), TensorShape(128U, 16U, 2U, 16U)); 137 } 138 }; 139 } // namespace datasets 140 } // namespace test 141 } // namespace arm_compute 142 #endif /* ARM_COMPUTE_TEST_SPACE_TO_BATCH_LAYER_DATASET */ 143