Pablo Tello | e96e4f0 | 2018-12-21 16:47:23 +0000 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2019 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 | #include "arm_compute/core/Types.h" |
Isabella Gottardi | 883bad7 | 2019-07-15 17:33:07 +0100 | [diff] [blame] | 25 | #include "arm_compute/runtime/CPP/functions/CPPNonMaximumSuppression.h" |
Pablo Tello | e96e4f0 | 2018-12-21 16:47:23 +0000 | [diff] [blame] | 26 | #include "arm_compute/runtime/Tensor.h" |
| 27 | #include "arm_compute/runtime/TensorAllocator.h" |
| 28 | #include "tests/NEON/Accessor.h" |
| 29 | #include "tests/PaddingCalculator.h" |
| 30 | #include "tests/datasets/ShapeDatasets.h" |
| 31 | #include "tests/framework/Asserts.h" |
| 32 | #include "tests/framework/Macros.h" |
| 33 | #include "tests/framework/datasets/Datasets.h" |
| 34 | #include "tests/validation/Validation.h" |
| 35 | #include "tests/validation/fixtures/NonMaxSuppressionFixture.h" |
| 36 | |
| 37 | namespace arm_compute |
| 38 | { |
| 39 | namespace test |
| 40 | { |
| 41 | namespace validation |
| 42 | { |
| 43 | namespace |
| 44 | { |
Isabella Gottardi | 883bad7 | 2019-07-15 17:33:07 +0100 | [diff] [blame] | 45 | const auto max_output_boxes_dataset = framework::dataset::make("MaxOutputBoxes", 1, 10); |
| 46 | const auto score_threshold_dataset = framework::dataset::make("ScoreThreshold", { 0.1f, 0.5f, 0.f, 1.f }); |
| 47 | const auto iou_nms_threshold_dataset = framework::dataset::make("NMSThreshold", { 0.1f, 0.5f, 0.f, 1.f }); |
| 48 | const auto NMSParametersSmall = datasets::Small2DNonMaxSuppressionShapes() * max_output_boxes_dataset * score_threshold_dataset * iou_nms_threshold_dataset; |
| 49 | const auto NMSParametersBig = datasets::Large2DNonMaxSuppressionShapes() * max_output_boxes_dataset * score_threshold_dataset * iou_nms_threshold_dataset; |
Pablo Tello | e96e4f0 | 2018-12-21 16:47:23 +0000 | [diff] [blame] | 50 | |
| 51 | } // namespace |
| 52 | |
| 53 | TEST_SUITE(CPP) |
| 54 | TEST_SUITE(NMS) |
| 55 | |
| 56 | // *INDENT-OFF* |
| 57 | // clang-format off |
| 58 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip( |
| 59 | framework::dataset::make("BoundingBox",{ |
| 60 | TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), |
| 61 | TensorInfo(TensorShape(1U, 4U, 2U), 1, DataType::F32), // invalid shape |
| 62 | TensorInfo(TensorShape(4U, 2U), 1, DataType::S32), // invalid data type |
| 63 | TensorInfo(TensorShape(4U, 3U), 1, DataType::F32), |
| 64 | TensorInfo(TensorShape(4U, 66U), 1, DataType::F32), |
| 65 | TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), |
| 66 | TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), |
| 67 | TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), |
| 68 | TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), |
| 69 | TensorInfo(TensorShape(4U, 100U), 1, DataType::F32), |
| 70 | }), |
| 71 | framework::dataset::make("Scores", { |
| 72 | TensorInfo(TensorShape(100U), 1, DataType::F32), |
| 73 | TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32), // invalid shape |
| 74 | TensorInfo(TensorShape(4U), 1, DataType::F32), |
| 75 | TensorInfo(TensorShape(3U), 1, DataType::U8), // invalid data type |
| 76 | TensorInfo(TensorShape(66U), 1, DataType::F32), // invalid data type |
| 77 | TensorInfo(TensorShape(100U), 1, DataType::F32), |
| 78 | TensorInfo(TensorShape(100U), 1, DataType::F32), |
| 79 | TensorInfo(TensorShape(100U), 1, DataType::F32), |
| 80 | TensorInfo(TensorShape(100U), 1, DataType::F32), |
| 81 | TensorInfo(TensorShape(100U), 1, DataType::F32), |
| 82 | })), |
| 83 | framework::dataset::make("Indices", { |
| 84 | TensorInfo(TensorShape(100U), 1, DataType::S32), |
| 85 | TensorInfo(TensorShape(100U), 1, DataType::S32), |
| 86 | TensorInfo(TensorShape(4U), 1, DataType::S32), |
| 87 | TensorInfo(TensorShape(3U), 1, DataType::S32), |
| 88 | TensorInfo(TensorShape(200U), 1, DataType::S32), // indices bigger than max bbs, OK because max_output is 66 |
| 89 | TensorInfo(TensorShape(100U), 1, DataType::F32), // invalid data type |
| 90 | TensorInfo(TensorShape(100U), 1, DataType::S32), |
| 91 | TensorInfo(TensorShape(100U), 1, DataType::S32), |
| 92 | TensorInfo(TensorShape(100U), 1, DataType::S32), |
| 93 | TensorInfo(TensorShape(100U), 1, DataType::S32), |
| 94 | |
| 95 | })), |
| 96 | framework::dataset::make("max_output", { |
| 97 | 10U, 2U,4U, 3U,66U, 1U, |
| 98 | 0U, /* invalid, must be greater than 0 */ |
| 99 | 10000U, /* OK, clamped to indices' size */ |
| 100 | 100U, |
| 101 | 10U, |
| 102 | })), |
| 103 | framework::dataset::make("score_threshold", { |
| 104 | 0.1f, 0.4f, 0.2f,0.8f,0.3f, 0.01f, 0.5f, 0.45f, |
| 105 | -1.f, /* invalid value, must be in [0,1] */ |
| 106 | 0.5f, |
| 107 | })), |
| 108 | framework::dataset::make("nms_threshold", { |
| 109 | 0.3f, 0.7f, 0.1f,0.13f,0.2f, 0.97f, 0.76f, 0.87f, 0.1f, |
| 110 | 10.f, /* invalid value, must be in [0,1]*/ |
| 111 | })), |
| 112 | framework::dataset::make("Expected", { |
| 113 | true, false, false, false, true, false, false,true, false, false |
| 114 | })), |
| 115 | |
| 116 | bbox_info, scores_info, indices_info, max_out, score_threshold, nms_threshold, expected) |
| 117 | { |
| 118 | ARM_COMPUTE_EXPECT(bool(CPPNonMaximumSuppression::validate(&bbox_info.clone()->set_is_resizable(false), |
| 119 | &scores_info.clone()->set_is_resizable(false), |
| 120 | &indices_info.clone()->set_is_resizable(false), |
| 121 | max_out,score_threshold,nms_threshold)) == expected, framework::LogLevel::ERRORS); |
| 122 | } |
| 123 | // clang-format on |
| 124 | // *INDENT-ON* |
| 125 | |
| 126 | using CPPNonMaxSuppressionFixture = NMSValidationFixture<Tensor, Accessor, CPPNonMaximumSuppression>; |
| 127 | |
| 128 | FIXTURE_DATA_TEST_CASE(RunSmall, CPPNonMaxSuppressionFixture, framework::DatasetMode::PRECOMMIT, NMSParametersSmall) |
| 129 | { |
| 130 | // Validate output |
| 131 | validate(Accessor(_target), _reference); |
| 132 | } |
| 133 | |
| 134 | FIXTURE_DATA_TEST_CASE(RunLarge, CPPNonMaxSuppressionFixture, framework::DatasetMode::NIGHTLY, NMSParametersBig) |
| 135 | { |
| 136 | // Validate output |
| 137 | validate(Accessor(_target), _reference); |
| 138 | } |
| 139 | |
Pablo Tello | e96e4f0 | 2018-12-21 16:47:23 +0000 | [diff] [blame] | 140 | TEST_SUITE_END() // NMS |
Isabella Gottardi | 883bad7 | 2019-07-15 17:33:07 +0100 | [diff] [blame] | 141 | TEST_SUITE_END() // CPP |
Pablo Tello | e96e4f0 | 2018-12-21 16:47:23 +0000 | [diff] [blame] | 142 | } // namespace validation |
| 143 | } // namespace test |
| 144 | } // namespace arm_compute |