1 /* 2 * Copyright (c) 2018, 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_CHANNEL_SHUFFLE_LAYER_DATASET 25 #define ARM_COMPUTE_TEST_CHANNEL_SHUFFLE_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 ChannelShuffleLayerDataset 39 { 40 public: 41 using type = std::tuple<TensorShape, int>; 42 43 struct iterator 44 { iteratoriterator45 iterator(std::vector<TensorShape>::const_iterator tensor_it, 46 std::vector<int>::const_iterator num_groups_it) 47 : _tensor_it{ std::move(tensor_it) }, 48 _num_groups_it{ std::move(num_groups_it) } 49 { 50 } 51 descriptioniterator52 std::string description() const 53 { 54 std::stringstream description; 55 description << "In=" << *_tensor_it << ":"; 56 description << "NumGroups=" << *_num_groups_it; 57 return description.str(); 58 } 59 60 ChannelShuffleLayerDataset::type operator*() const 61 { 62 return std::make_tuple(*_tensor_it, *_num_groups_it); 63 } 64 65 iterator &operator++() 66 { 67 ++_tensor_it; 68 ++_num_groups_it; 69 70 return *this; 71 } 72 73 private: 74 std::vector<TensorShape>::const_iterator _tensor_it; 75 std::vector<int>::const_iterator _num_groups_it; 76 }; 77 begin()78 iterator begin() const 79 { 80 return iterator(_tensor_shapes.begin(), _num_groups.begin()); 81 } 82 size()83 int size() const 84 { 85 return std::min(_tensor_shapes.size(), _num_groups.size()); 86 } 87 add_config(TensorShape tensor,int num_groups)88 void add_config(TensorShape tensor, int num_groups) 89 { 90 _tensor_shapes.emplace_back(std::move(tensor)); 91 _num_groups.emplace_back(std::move(num_groups)); 92 } 93 94 protected: 95 ChannelShuffleLayerDataset() = default; 96 ChannelShuffleLayerDataset(ChannelShuffleLayerDataset &&) = default; 97 98 private: 99 std::vector<TensorShape> _tensor_shapes{}; 100 std::vector<int> _num_groups{}; 101 }; 102 103 class SmallRandomChannelShuffleLayerDataset final : public ChannelShuffleLayerDataset 104 { 105 public: SmallRandomChannelShuffleLayerDataset()106 SmallRandomChannelShuffleLayerDataset() 107 { 108 add_config(TensorShape(1U, 1U, 605U, 16U), 5); 109 add_config(TensorShape(15U, 16U, 4U, 12U), 2); 110 add_config(TensorShape(21U, 11U, 12U, 7U), 4); 111 add_config(TensorShape(21U, 11U, 12U, 7U), 6); 112 add_config(TensorShape(7U, 3U, 6U, 11U), 3); 113 } 114 }; 115 116 class LargeRandomChannelShuffleLayerDataset final : public ChannelShuffleLayerDataset 117 { 118 public: LargeRandomChannelShuffleLayerDataset()119 LargeRandomChannelShuffleLayerDataset() 120 { 121 add_config(TensorShape(210U, 43U, 20U, 3U), 5); 122 add_config(TensorShape(283U, 213U, 15U, 3U), 3); 123 add_config(TensorShape(500U, 115U, 16U, 2U), 4); 124 } 125 }; 126 } // namespace datasets 127 } // namespace test 128 } // namespace arm_compute 129 #endif /* ARM_COMPUTE_TEST_CHANNEL_SHUFFLE_LAYER_DATASET */ 130