Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2017 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_SHAPE_DATASETS_H__ |
| 25 | #define __ARM_COMPUTE_TEST_SHAPE_DATASETS_H__ |
| 26 | |
| 27 | #include "arm_compute/core/TensorShape.h" |
| 28 | #include "framework/datasets/Datasets.h" |
| 29 | |
| 30 | #include <type_traits> |
| 31 | |
| 32 | namespace arm_compute |
| 33 | { |
| 34 | namespace test |
| 35 | { |
| 36 | namespace datasets |
| 37 | { |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 38 | /** Data set containing 1D tensor shapes. */ |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 39 | class Small1DShape final : public framework::dataset::SingletonDataset<TensorShape> |
| 40 | { |
| 41 | public: |
| 42 | Small1DShape() |
| 43 | : SingletonDataset("Shape", TensorShape{ 256U }) |
| 44 | { |
| 45 | } |
| 46 | }; |
| 47 | |
| 48 | /** Parent type for all for shape datasets. */ |
| 49 | using ShapeDataset = framework::dataset::ContainerDataset<std::vector<TensorShape>>; |
| 50 | |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 51 | /** Data set containing small 2D tensor shapes. */ |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 52 | class Small2DShapes final : public ShapeDataset |
| 53 | { |
| 54 | public: |
| 55 | Small2DShapes() |
| 56 | : ShapeDataset("Shape", |
| 57 | { |
Moritz Pflanzer | 3ce3ff4 | 2017-07-21 17:41:02 +0100 | [diff] [blame] | 58 | TensorShape{ 7U, 7U }, |
| 59 | TensorShape{ 27U, 13U }, |
| 60 | TensorShape{ 128U, 64U } |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 61 | }) |
| 62 | { |
| 63 | } |
| 64 | }; |
| 65 | |
| 66 | /** Data set containing small tensor shapes. */ |
| 67 | class SmallShapes final : public ShapeDataset |
| 68 | { |
| 69 | public: |
| 70 | SmallShapes() |
| 71 | : ShapeDataset("Shape", |
| 72 | { |
SiCong Li | caf8c5e | 2017-08-21 13:12:52 +0100 | [diff] [blame^] | 73 | // Batch size 1 |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 74 | TensorShape{ 7U, 7U }, |
| 75 | TensorShape{ 27U, 13U, 2U }, |
SiCong Li | caf8c5e | 2017-08-21 13:12:52 +0100 | [diff] [blame^] | 76 | TensorShape{ 128U, 64U, 1U, 3U }, |
| 77 | // Batch size 4 |
| 78 | TensorShape{ 7U, 7U, 4U }, |
| 79 | TensorShape{ 27U, 13U, 2U, 4U }, |
| 80 | TensorShape{ 128U, 64U, 1U, 3U, 4U }, |
| 81 | // Arbitrary batch size |
| 82 | TensorShape{ 7U, 7U, 5U } |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 83 | }) |
| 84 | { |
| 85 | } |
| 86 | }; |
| 87 | |
| 88 | /** Data set containing large tensor shapes. */ |
| 89 | class LargeShapes final : public ShapeDataset |
| 90 | { |
| 91 | public: |
| 92 | LargeShapes() |
| 93 | : ShapeDataset("Shape", |
| 94 | { |
SiCong Li | caf8c5e | 2017-08-21 13:12:52 +0100 | [diff] [blame^] | 95 | // Batch size 1 |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 96 | TensorShape{ 1920U, 1080U }, |
| 97 | TensorShape{ 1245U, 652U, 1U, 3U }, |
SiCong Li | caf8c5e | 2017-08-21 13:12:52 +0100 | [diff] [blame^] | 98 | TensorShape{ 4160U, 3120U }, |
| 99 | // Batch size 4 |
| 100 | TensorShape{ 1920U, 1080U, 4U }, |
| 101 | TensorShape{ 1245U, 652U, 1U, 3U, 4U }, |
| 102 | TensorShape{ 4160U, 3120U, 4U }, |
| 103 | // Batch size 8 |
| 104 | TensorShape{ 1920U, 1080U, 8U }, |
| 105 | TensorShape{ 1245U, 652U, 1U, 3U, 8U }, |
| 106 | TensorShape{ 4160U, 3120U, 8U }, |
| 107 | // Arbitrary batch size |
| 108 | TensorShape{ 1920U, 1080U, 5U }, |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 109 | }) |
| 110 | { |
| 111 | } |
| 112 | }; |
| 113 | |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 114 | /** Data set containing large 2D tensor shapes. */ |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 115 | class Large2DShapes final : public ShapeDataset |
| 116 | { |
| 117 | public: |
| 118 | Large2DShapes() |
| 119 | : ShapeDataset("Shape", |
| 120 | { |
| 121 | TensorShape{ 1920U, 1080U }, |
Moritz Pflanzer | 3ce3ff4 | 2017-07-21 17:41:02 +0100 | [diff] [blame] | 122 | TensorShape{ 1245U, 652U }, |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 123 | TensorShape{ 4160U, 3120U } |
| 124 | }) |
| 125 | { |
| 126 | } |
| 127 | }; |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 128 | |
| 129 | /** Data set containing small tensor shapes for direct convolution. */ |
| 130 | class SmallDirectConvolutionShapes final : public ShapeDataset |
| 131 | { |
| 132 | public: |
| 133 | SmallDirectConvolutionShapes() |
| 134 | : ShapeDataset("InputShape", |
| 135 | { |
SiCong Li | caf8c5e | 2017-08-21 13:12:52 +0100 | [diff] [blame^] | 136 | // Batch size 1 |
| 137 | TensorShape{ 5U, 5U, 3U }, |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 138 | TensorShape{ 32U, 37U, 3U }, |
SiCong Li | caf8c5e | 2017-08-21 13:12:52 +0100 | [diff] [blame^] | 139 | TensorShape{ 13U, 15U, 8U }, |
| 140 | // Batch size 4 |
| 141 | TensorShape{ 5U, 5U, 3U, 4U }, |
| 142 | TensorShape{ 32U, 37U, 3U, 4U }, |
| 143 | TensorShape{ 13U, 15U, 8U, 4U }, |
| 144 | // Batch size 8 |
| 145 | TensorShape{ 5U, 5U, 3U, 8U }, |
| 146 | TensorShape{ 32U, 37U, 3U, 8U }, |
| 147 | TensorShape{ 13U, 15U, 8U, 8U }, |
| 148 | // Arbitrary batch size |
| 149 | TensorShape{ 32U, 37U, 3U, 8U } |
Moritz Pflanzer | b3d2579 | 2017-07-26 11:49:37 +0100 | [diff] [blame] | 150 | }) |
| 151 | { |
| 152 | } |
| 153 | }; |
Moritz Pflanzer | f6ad98a | 2017-07-21 17:19:58 +0100 | [diff] [blame] | 154 | } // namespace datasets |
| 155 | } // namespace test |
| 156 | } // namespace arm_compute |
| 157 | #endif /* __ARM_COMPUTE_TEST_SHAPE_DATASETS_H__ */ |