1 /* 2 * Copyright (c) 2017-2020 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_FULLYCONNECTED_LAYER_DATASET 25 #define ARM_COMPUTE_TEST_FULLYCONNECTED_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 FullyConnectedLayerDataset 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 weights_it, 47 std::vector<TensorShape>::const_iterator biases_it, 48 std::vector<TensorShape>::const_iterator dst_it) 49 : _src_it{ std::move(src_it) }, 50 _weights_it{ std::move(weights_it) }, 51 _biases_it{ std::move(biases_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 << "Weights=" << *_weights_it << ":"; 61 description << "Biases=" << *_biases_it << ":"; 62 description << "Out=" << *_dst_it; 63 return description.str(); 64 } 65 66 FullyConnectedLayerDataset::type operator*() const 67 { 68 return std::make_tuple(*_src_it, *_weights_it, *_biases_it, *_dst_it); 69 } 70 71 iterator &operator++() 72 { 73 ++_src_it; 74 ++_weights_it; 75 ++_biases_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 _weights_it; 84 std::vector<TensorShape>::const_iterator _biases_it; 85 std::vector<TensorShape>::const_iterator _dst_it; 86 }; 87 begin()88 iterator begin() const 89 { 90 return iterator(_src_shapes.begin(), _weight_shapes.begin(), _bias_shapes.begin(), _dst_shapes.begin()); 91 } 92 size()93 int size() const 94 { 95 return std::min(_src_shapes.size(), std::min(_weight_shapes.size(), std::min(_bias_shapes.size(), _dst_shapes.size()))); 96 } 97 add_config(TensorShape src,TensorShape weights,TensorShape biases,TensorShape dst)98 void add_config(TensorShape src, TensorShape weights, TensorShape biases, TensorShape dst) 99 { 100 _src_shapes.emplace_back(std::move(src)); 101 _weight_shapes.emplace_back(std::move(weights)); 102 _bias_shapes.emplace_back(std::move(biases)); 103 _dst_shapes.emplace_back(std::move(dst)); 104 } 105 106 protected: 107 FullyConnectedLayerDataset() = default; 108 FullyConnectedLayerDataset(FullyConnectedLayerDataset &&) = default; 109 110 private: 111 std::vector<TensorShape> _src_shapes{}; 112 std::vector<TensorShape> _weight_shapes{}; 113 std::vector<TensorShape> _bias_shapes{}; 114 std::vector<TensorShape> _dst_shapes{}; 115 }; 116 117 class FullyConnectedLayerWithActivationDataset final : public FullyConnectedLayerDataset 118 { 119 public: FullyConnectedLayerWithActivationDataset()120 FullyConnectedLayerWithActivationDataset() 121 { 122 // Conv -> FC 123 add_config(TensorShape(8U, 1U, 1U), TensorShape(8U, 16U), TensorShape(16U), TensorShape(16U)); 124 // FC -> FC 125 add_config(TensorShape(1U), TensorShape(1U, 10U), TensorShape(10U), TensorShape(10U)); 126 } 127 }; 128 class TinyFullyConnectedLayerDataset final : public FullyConnectedLayerDataset 129 { 130 public: TinyFullyConnectedLayerDataset()131 TinyFullyConnectedLayerDataset() 132 { 133 // Conv -> FC 134 add_config(TensorShape(8U, 1U, 1U), TensorShape(8U, 16U), TensorShape(16U), TensorShape(16U)); 135 // Conv -> FC 136 add_config(TensorShape(1U, 1U, 1U, 3U), TensorShape(1U, 10U), TensorShape(10U), TensorShape(10U, 3U)); 137 // FC -> FC 138 add_config(TensorShape(1U), TensorShape(1U, 10U), TensorShape(10U), TensorShape(10U)); 139 // FC -> FC (batched) 140 add_config(TensorShape(1U, 3U), TensorShape(1U, 10U), TensorShape(10U), TensorShape(10U, 3U)); 141 } 142 }; 143 class SmallFullyConnectedLayerDataset final : public FullyConnectedLayerDataset 144 { 145 public: SmallFullyConnectedLayerDataset()146 SmallFullyConnectedLayerDataset() 147 { 148 // Conv -> FC 149 add_config(TensorShape(8U, 1U, 1U), TensorShape(8U, 16U), TensorShape(16U), TensorShape(16U)); 150 // Conv -> FC 151 add_config(TensorShape(1U, 1U, 1U, 3U), TensorShape(1U, 10U), TensorShape(10U), TensorShape(10U, 3U)); 152 // Conv -> FC 153 add_config(TensorShape(9U, 5U, 7U), TensorShape(315U, 271U), TensorShape(271U), TensorShape(271U)); 154 // Conv -> FC (batched) 155 add_config(TensorShape(9U, 5U, 7U, 3U), TensorShape(315U, 271U), TensorShape(271U), TensorShape(271U, 3U)); 156 // FC -> FC 157 add_config(TensorShape(1U), TensorShape(1U, 10U), TensorShape(10U), TensorShape(10U)); 158 // FC -> FC (batched) 159 add_config(TensorShape(1U, 3U), TensorShape(1U, 10U), TensorShape(10U), TensorShape(10U, 3U)); 160 // FC -> FC 161 add_config(TensorShape(201U), TensorShape(201U, 529U), TensorShape(529U), TensorShape(529U)); 162 // FC -> FC (batched) 163 add_config(TensorShape(201U, 3U), TensorShape(201U, 529U), TensorShape(529U), TensorShape(529U, 3U)); 164 165 add_config(TensorShape(9U, 5U, 7U, 3U, 2U), TensorShape(315U, 271U), TensorShape(271U), TensorShape(271U, 3U, 2U)); 166 } 167 }; 168 169 class LargeFullyConnectedLayerDataset final : public FullyConnectedLayerDataset 170 { 171 public: LargeFullyConnectedLayerDataset()172 LargeFullyConnectedLayerDataset() 173 { 174 add_config(TensorShape(9U, 5U, 257U), TensorShape(11565U, 2123U), TensorShape(2123U), TensorShape(2123U)); 175 add_config(TensorShape(9U, 5U, 257U, 2U), TensorShape(11565U, 2123U), TensorShape(2123U), TensorShape(2123U, 2U)); 176 add_config(TensorShape(3127U), TensorShape(3127U, 989U), TensorShape(989U), TensorShape(989U)); 177 add_config(TensorShape(3127U, 2U), TensorShape(3127U, 989U), TensorShape(989U), TensorShape(989U, 2U)); 178 179 add_config(TensorShape(9U, 5U, 257U, 2U, 3U), TensorShape(11565U, 2123U), TensorShape(2123U), TensorShape(2123U, 2U, 3U)); 180 } 181 }; 182 183 } // namespace datasets 184 } // namespace test 185 } // namespace arm_compute 186 #endif /* ARM_COMPUTE_TEST_FULLYCONNECTED_LAYER_DATASET */ 187