Frank Lei | 57a150a | 2017-12-19 10:14:57 +0800 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2017 Arm Limited. |
Frank Lei | 57a150a | 2017-12-19 10:14:57 +0800 | [diff] [blame] | 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_SCALE_LAYER_DATASET |
| 25 | #define ARM_COMPUTE_TEST_SCALE_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 ScaleLayerDataset |
| 39 | { |
| 40 | public: |
| 41 | using type = std::tuple<TensorShape, InterpolationPolicy, BorderMode, SamplingPolicy, float, float>; |
| 42 | |
| 43 | struct iterator |
| 44 | { |
| 45 | iterator(std::vector<TensorShape>::const_iterator src_it, |
| 46 | std::vector<InterpolationPolicy>::const_iterator policy_it, |
| 47 | std::vector<BorderMode>::const_iterator border_mode_it, |
| 48 | std::vector<SamplingPolicy>::const_iterator sampling_policy_it, |
| 49 | std::vector<float>::const_iterator scale_x_it, |
| 50 | std::vector<float>::const_iterator scale_y_it) |
| 51 | : _src_it{ std::move(src_it) }, |
| 52 | _policy_it{ std::move(policy_it) }, |
| 53 | _border_mode_it{ std::move(border_mode_it) }, |
| 54 | _sampling_policy_it{ std::move(sampling_policy_it) }, |
| 55 | _scale_x_it{ std::move(scale_x_it) }, |
| 56 | _scale_y_it{ std::move(scale_y_it) } |
| 57 | { |
| 58 | } |
| 59 | |
| 60 | std::string description() const |
| 61 | { |
| 62 | std::stringstream description; |
| 63 | description << "In=" << *_src_it << ":"; |
| 64 | description << "InterpolationPolicy=" << *_policy_it << ":"; |
| 65 | description << "BorderMode=" << *_border_mode_it << ":"; |
| 66 | description << "SamplingPolicy=" << *_sampling_policy_it << ":"; |
| 67 | description << "Scale_x=" << *_scale_x_it << ":"; |
| 68 | description << "Scale_y=" << *_scale_y_it; |
| 69 | return description.str(); |
| 70 | } |
| 71 | |
| 72 | ScaleLayerDataset::type operator*() const |
| 73 | { |
| 74 | return std::make_tuple(*_src_it, *_policy_it, *_border_mode_it, *_sampling_policy_it, *_scale_x_it, *_scale_y_it); |
| 75 | } |
| 76 | |
| 77 | iterator &operator++() |
| 78 | { |
| 79 | ++_src_it; |
| 80 | ++_policy_it; |
| 81 | ++_border_mode_it; |
| 82 | ++_sampling_policy_it; |
| 83 | ++_scale_x_it; |
| 84 | ++_scale_y_it; |
| 85 | |
| 86 | return *this; |
| 87 | } |
| 88 | |
| 89 | private: |
| 90 | std::vector<TensorShape>::const_iterator _src_it; |
| 91 | std::vector<InterpolationPolicy>::const_iterator _policy_it; |
| 92 | std::vector<BorderMode>::const_iterator _border_mode_it; |
| 93 | std::vector<SamplingPolicy>::const_iterator _sampling_policy_it; |
| 94 | std::vector<float>::const_iterator _scale_x_it; |
| 95 | std::vector<float>::const_iterator _scale_y_it; |
| 96 | }; |
| 97 | |
| 98 | iterator begin() const |
| 99 | { |
| 100 | return iterator(_src_shapes.begin(), _policy.begin(), _border_mode.begin(), _sampling_policy.begin(), _scale_x.begin(), _scale_y.begin()); |
| 101 | } |
| 102 | |
| 103 | int size() const |
| 104 | { |
| 105 | return std::min(_src_shapes.size(), std::min(_policy.size(), std::min(_border_mode.size(), std::min(_sampling_policy.size(), std::min(_scale_x.size(), _scale_y.size()))))); |
| 106 | } |
| 107 | |
| 108 | void add_config(TensorShape src, InterpolationPolicy policy, BorderMode border_mode, SamplingPolicy sampling_policy, float scale_x, float scale_y) |
| 109 | { |
| 110 | _src_shapes.emplace_back(std::move(src)); |
| 111 | _policy.emplace_back(std::move(policy)); |
| 112 | _border_mode.emplace_back(std::move(border_mode)); |
| 113 | _sampling_policy.emplace_back(std::move(sampling_policy)); |
| 114 | _scale_x.emplace_back(std::move(scale_x)); |
| 115 | _scale_y.emplace_back(std::move(scale_y)); |
| 116 | } |
| 117 | |
| 118 | protected: |
| 119 | ScaleLayerDataset() = default; |
| 120 | ScaleLayerDataset(ScaleLayerDataset &&) = default; |
| 121 | |
| 122 | private: |
| 123 | std::vector<TensorShape> _src_shapes{}; |
| 124 | std::vector<InterpolationPolicy> _policy{}; |
| 125 | std::vector<BorderMode> _border_mode{}; |
| 126 | std::vector<SamplingPolicy> _sampling_policy{}; |
| 127 | std::vector<float> _scale_x{}; |
| 128 | std::vector<float> _scale_y{}; |
| 129 | }; |
| 130 | |
| 131 | /** Data set containing small scale layer shapes. */ |
| 132 | class SmallScaleLayerShapes final : public ScaleLayerDataset |
| 133 | { |
| 134 | public: |
| 135 | SmallScaleLayerShapes() |
| 136 | { |
| 137 | add_config(TensorShape(128U, 64U, 1U, 3U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 5, 5); |
| 138 | add_config(TensorShape(9U, 9U, 3U, 4U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 7, 7); |
| 139 | add_config(TensorShape(27U, 13U, 2U, 4U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 9, 9); |
| 140 | } |
| 141 | }; |
| 142 | |
| 143 | /** Data set containing large scale layer shapes. */ |
| 144 | class LargeScaleLayerShapes final : public ScaleLayerDataset |
| 145 | { |
| 146 | public: |
| 147 | LargeScaleLayerShapes() |
| 148 | { |
| 149 | add_config(TensorShape(1920U, 1080U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 0.5, 0.5); |
| 150 | add_config(TensorShape(640U, 480U, 2U, 3U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 0.5, 0.5); |
| 151 | add_config(TensorShape(4160U, 3120U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 0.5, 0.5); |
| 152 | add_config(TensorShape(800U, 600U, 1U, 4U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 0.5, 0.5); |
| 153 | |
| 154 | add_config(TensorShape(1920U, 1080U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 2, 2); |
| 155 | add_config(TensorShape(640U, 480U, 2U, 3U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 2, 2); |
| 156 | add_config(TensorShape(4160U, 3120U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 2, 2); |
| 157 | add_config(TensorShape(800U, 600U, 1U, 4U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 2, 2); |
| 158 | |
| 159 | add_config(TensorShape(1920U, 1080U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 3, 3); |
| 160 | add_config(TensorShape(640U, 480U, 2U, 3U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 3, 3); |
| 161 | add_config(TensorShape(4160U, 3120U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 3, 3); |
| 162 | add_config(TensorShape(800U, 600U, 1U, 4U), InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED, SamplingPolicy::CENTER, 3, 3); |
| 163 | } |
| 164 | }; |
| 165 | |
| 166 | } // namespace datasets |
| 167 | } // namespace test |
| 168 | } // namespace arm_compute |
| 169 | #endif /* ARM_COMPUTE_TEST_SCALE_LAYER_DATASET */ |