David Svantesson | 3b162e5 | 2023-03-28 14:13:32 +0000 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2023 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 ACL_TESTS_DATASETS_REORDERLAYERDATASET |
| 25 | #define ACL_TESTS_DATASETS_REORDERLAYERDATASET |
| 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 | /** [ReorderLayer datasets] **/ |
| 38 | class ReorderLayerDataset |
| 39 | { |
| 40 | public: |
| 41 | using type = std::tuple<TensorShape, TensorShape, WeightFormat, WeightFormat>; |
| 42 | |
| 43 | struct iterator |
| 44 | { |
| 45 | iterator(std::vector<TensorShape>::const_iterator in_it, |
| 46 | std::vector<TensorShape>::const_iterator out_it, |
| 47 | std::vector<WeightFormat>::const_iterator _wf_in_it, |
| 48 | std::vector<WeightFormat>::const_iterator _wf_out_it) |
| 49 | : _in_it{ std::move(in_it) }, |
| 50 | _out_it{ std::move(out_it) }, |
| 51 | _wf_in_it{ std::move(_wf_in_it) }, |
| 52 | _wf_out_it{ std::move(_wf_out_it) } |
| 53 | { |
| 54 | } |
| 55 | |
| 56 | std::string description() const |
| 57 | { |
| 58 | std::stringstream description; |
| 59 | description << "In=" << *_in_it << ":"; |
| 60 | description << "Out=" << *_out_it << ":"; |
| 61 | description << "Wf_In=" << *_wf_in_it << ":"; |
| 62 | description << "Wf_Out=" << *_wf_out_it; |
| 63 | return description.str(); |
| 64 | } |
| 65 | |
| 66 | ReorderLayerDataset::type operator*() const |
| 67 | { |
| 68 | return std::make_tuple(*_in_it, *_out_it, *_wf_in_it, *_wf_out_it); |
| 69 | } |
| 70 | |
| 71 | iterator &operator++() |
| 72 | { |
| 73 | ++_in_it; |
| 74 | ++_out_it; |
| 75 | ++_wf_in_it; |
| 76 | ++_wf_out_it; |
| 77 | |
| 78 | return *this; |
| 79 | } |
| 80 | |
| 81 | private: |
| 82 | std::vector<TensorShape>::const_iterator _in_it; |
| 83 | std::vector<TensorShape>::const_iterator _out_it; |
| 84 | std::vector<WeightFormat>::const_iterator _wf_in_it; |
| 85 | std::vector<WeightFormat>::const_iterator _wf_out_it; |
| 86 | }; |
| 87 | |
| 88 | iterator begin() const |
| 89 | { |
| 90 | return iterator(_in_shapes.begin(), _out_shapes.begin(), _in_wfs.begin(), _out_wfs.begin()); |
| 91 | } |
| 92 | |
| 93 | int size() const |
| 94 | { |
| 95 | return std::min(_in_shapes.size(), std::min(_out_shapes.size(), std::min(_in_wfs.size(), _out_wfs.size()))); |
| 96 | } |
| 97 | |
| 98 | void add_config(TensorShape in, TensorShape out, WeightFormat in_wf, WeightFormat out_wf) |
| 99 | { |
| 100 | _in_shapes.emplace_back(std::move(in)); |
| 101 | _out_shapes.emplace_back(std::move(out)); |
| 102 | _in_wfs.emplace_back(std::move(in_wf)); |
| 103 | _out_wfs.emplace_back(std::move(out_wf)); |
| 104 | } |
| 105 | |
| 106 | // protected: |
| 107 | ReorderLayerDataset() = default; |
| 108 | ReorderLayerDataset(ReorderLayerDataset &&) = default; |
| 109 | |
| 110 | private: |
| 111 | std::vector<TensorShape> _in_shapes{}; |
| 112 | std::vector<TensorShape> _out_shapes{}; |
| 113 | std::vector<WeightFormat> _in_wfs{}; |
| 114 | std::vector<WeightFormat> _out_wfs{}; |
| 115 | }; |
| 116 | |
| 117 | /** [ReorderLayer datasets] **/ |
| 118 | |
| 119 | class ReorderLayerDatasetBlock4 final : public ReorderLayerDataset |
| 120 | { |
| 121 | public: |
| 122 | ReorderLayerDatasetBlock4() |
| 123 | { |
| 124 | add_config(TensorShape(10U, 9U), TensorShape(10U, 12U), WeightFormat::OHWI, WeightFormat::OHWIo4); |
| 125 | add_config(TensorShape(16U, 16U), TensorShape(16U, 16U), WeightFormat::OHWI, WeightFormat::OHWIo4); |
| 126 | add_config(TensorShape(10U, 511U), TensorShape(10U, 512U), WeightFormat::OHWI, WeightFormat::OHWIo4); |
| 127 | add_config(TensorShape(234U, 301U), TensorShape(234U, 304U), WeightFormat::OHWI, WeightFormat::OHWIo4); |
| 128 | add_config(TensorShape(1024U, 1024U), TensorShape(1024U, 1024U), WeightFormat::OHWI, WeightFormat::OHWIo4); |
| 129 | add_config(TensorShape(10U, 9U, 1U, 1U), TensorShape(10U, 12U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo4); |
| 130 | add_config(TensorShape(16U, 16U, 1U, 1U), TensorShape(16U, 16U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo4); |
| 131 | add_config(TensorShape(10U, 511U, 1U, 1U), TensorShape(10U, 512U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo4); |
| 132 | add_config(TensorShape(234U, 301U, 1U, 1U), TensorShape(234U, 304U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo4); |
| 133 | add_config(TensorShape(1024U, 1024U, 1U, 1U), TensorShape(1024U, 1024U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo4); |
| 134 | } |
| 135 | }; |
| 136 | |
| 137 | class ReorderLayerDatasetBlock8 final : public ReorderLayerDataset |
| 138 | { |
| 139 | public: |
| 140 | ReorderLayerDatasetBlock8() |
| 141 | { |
| 142 | add_config(TensorShape(10U, 9U), TensorShape(10U, 16U), WeightFormat::OHWI, WeightFormat::OHWIo8); |
| 143 | add_config(TensorShape(16U, 16U), TensorShape(16U, 16U), WeightFormat::OHWI, WeightFormat::OHWIo8); |
| 144 | add_config(TensorShape(10U, 511U), TensorShape(10U, 512U), WeightFormat::OHWI, WeightFormat::OHWIo8); |
| 145 | add_config(TensorShape(234U, 301U), TensorShape(234U, 304U), WeightFormat::OHWI, WeightFormat::OHWIo8); |
| 146 | add_config(TensorShape(1024U, 1024U), TensorShape(1024U, 1024U), WeightFormat::OHWI, WeightFormat::OHWIo8); |
| 147 | add_config(TensorShape(10U, 9U, 1U, 1U), TensorShape(10U, 16U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo8); |
| 148 | add_config(TensorShape(16U, 16U, 1U, 1U), TensorShape(16U, 16U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo8); |
| 149 | add_config(TensorShape(10U, 511U, 1U, 1U), TensorShape(10U, 512U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo8); |
| 150 | add_config(TensorShape(234U, 301U, 1U, 1U), TensorShape(234U, 304U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo8); |
| 151 | add_config(TensorShape(1024U, 1024U, 1U, 1U), TensorShape(1024U, 1024U, 1U, 1U), WeightFormat::OHWI, WeightFormat::OHWIo8); |
| 152 | } |
| 153 | }; |
| 154 | |
| 155 | } // namespace datasets |
| 156 | } // namespace test |
| 157 | } // namespace arm_compute |
| 158 | #endif /* ACL_TESTS_DATASETS_REORDERLAYERDATASET */ |