1 /*
2 * Copyright (c) 2019-2021 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"
25
26 #include "arm_compute/runtime/NEON/functions/NEBoundingBoxTransform.h"
27 #include "arm_compute/runtime/Tensor.h"
28 #include "arm_compute/runtime/TensorAllocator.h"
29 #include "tests/Globals.h"
30 #include "tests/NEON/Accessor.h"
31 #include "tests/datasets/ShapeDatasets.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/BoundingBoxTransformFixture.h"
36 #include "utils/TypePrinter.h"
37
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 namespace
45 {
46 RelativeTolerance<float> relative_tolerance_f32(0.01f);
47 AbsoluteTolerance<float> absolute_tolerance_f32(0.001f);
48 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
49 RelativeTolerance<half> relative_tolerance_f16(half(0.2));
50 AbsoluteTolerance<float> absolute_tolerance_f16(half(0.02f));
51 #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
52
53 constexpr AbsoluteTolerance<uint16_t> tolerance_qasymm16(1);
54
55 // *INDENT-OFF*
56 // clang-format off
57 const auto BboxInfoDataset = framework::dataset::make("BboxInfo", { BoundingBoxTransformInfo(20U, 20U, 2U, true),
58 BoundingBoxTransformInfo(128U, 128U, 4U, true),
59 BoundingBoxTransformInfo(800U, 600U, 1U, false),
60 BoundingBoxTransformInfo(800U, 600U, 2U, true, { { 1.0, 0.5, 1.5, 2.0 } }),
61 BoundingBoxTransformInfo(800U, 600U, 4U, false, { { 1.0, 0.5, 1.5, 2.0 } }),
62 BoundingBoxTransformInfo(800U, 600U, 4U, false, { { 1.0, 0.5, 1.5, 2.0 } }, true)
63 });
64
65 const auto DeltaDataset = framework::dataset::make("DeltasShape", { TensorShape(36U, 1U),
66 TensorShape(36U, 2U),
67 TensorShape(36U, 2U),
68 TensorShape(40U, 1U),
69 TensorShape(40U, 20U),
70 TensorShape(40U, 100U),
71 TensorShape(40U, 200U)
72 });
73 // clang-format on
74 // *INDENT-ON*
75 } // namespace
76
77 TEST_SUITE(NEON)
TEST_SUITE(BBoxTransform)78 TEST_SUITE(BBoxTransform)
79
80 // *INDENT-OFF*
81 // clang-format off
82 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
83 framework::dataset::make("BoxesInfo", { TensorInfo(TensorShape(4U, 128U), 1, DataType::F32),
84 TensorInfo(TensorShape(5U, 128U), 1, DataType::F32), // Wrong number of box fields
85 TensorInfo(TensorShape(4U, 128U), 1, DataType::F16), // Wrong data type
86 TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), // Wrong number of classes
87 TensorInfo(TensorShape(4U, 128U), 1, DataType::F32), // Deltas and predicted boxes have different dimensions
88 TensorInfo(TensorShape(4U, 128U), 1, DataType::F32)}), // Scaling is zero
89 framework::dataset::make("PredBoxesInfo",{ TensorInfo(TensorShape(128U, 128U), 1, DataType::F32),
90 TensorInfo(TensorShape(128U, 128U), 1, DataType::F32),
91 TensorInfo(TensorShape(127U, 128U), 1, DataType::F32),
92 TensorInfo(TensorShape(128U, 100U), 1, DataType::F32),
93 TensorInfo(TensorShape(128U, 100U), 1, DataType::F32),
94 TensorInfo(TensorShape(128U, 128U), 1, DataType::F32)})),
95 framework::dataset::make("DeltasInfo", { TensorInfo(TensorShape(128U, 128U), 1, DataType::F32),
96 TensorInfo(TensorShape(128U, 128U), 1, DataType::F32),
97 TensorInfo(TensorShape(127U, 128U), 1, DataType::F32),
98 TensorInfo(TensorShape(128U, 100U), 1, DataType::F32),
99 TensorInfo(TensorShape(128U, 128U), 1, DataType::F32),
100 TensorInfo(TensorShape(128U, 128U), 1, DataType::F32)})),
101 framework::dataset::make("BoundingBoxTransofmInfo", { BoundingBoxTransformInfo(800.f, 600.f, 1.f),
102 BoundingBoxTransformInfo(800.f, 600.f, 1.f),
103 BoundingBoxTransformInfo(800.f, 600.f, 1.f),
104 BoundingBoxTransformInfo(800.f, 600.f, 1.f),
105 BoundingBoxTransformInfo(800.f, 600.f, 0.f)})),
106 framework::dataset::make("Expected", { true, false, false, false, false, false})),
107 boxes_info, pred_boxes_info, deltas_info, bbox_info, expected)
108 {
109 ARM_COMPUTE_EXPECT(bool(NEBoundingBoxTransform::validate(&boxes_info.clone()->set_is_resizable(true), &pred_boxes_info.clone()->set_is_resizable(true), &deltas_info.clone()->set_is_resizable(true), bbox_info)) == expected, framework::LogLevel::ERRORS);
110 }
111 // clang-format on
112 // *INDENT-ON*
113
114 template <typename T>
115 using NEBoundingBoxTransformFixture = BoundingBoxTransformFixture<Tensor, Accessor, NEBoundingBoxTransform, T>;
116
117 TEST_SUITE(Float)
TEST_SUITE(FP32)118 TEST_SUITE(FP32)
119 FIXTURE_DATA_TEST_CASE(BoundingBox, NEBoundingBoxTransformFixture<float>, framework::DatasetMode::ALL,
120 combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make("DataType", { DataType::F32 })))
121 {
122 // Validate output
123 validate(Accessor(_target), _reference, relative_tolerance_f32, 0.f, absolute_tolerance_f32);
124 }
125 TEST_SUITE_END() // FP32
126
127 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)128 TEST_SUITE(FP16)
129 FIXTURE_DATA_TEST_CASE(BoundingBox, NEBoundingBoxTransformFixture<half>, framework::DatasetMode::ALL,
130 combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make("DataType", { DataType::F16 })))
131 {
132 // Validate output
133 validate(Accessor(_target), _reference, relative_tolerance_f16, 0.03f, absolute_tolerance_f16);
134 }
135 TEST_SUITE_END() // FP16
136 #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
137
138 TEST_SUITE_END() // Float
139
140 TEST_SUITE(Quantized)
141 TEST_SUITE(QASYMM16)
142 template <typename T>
143 using NEBoundingBoxTransformQuantizedFixture = BoundingBoxTransformQuantizedFixture<Tensor, Accessor, NEBoundingBoxTransform, T>;
144
145 FIXTURE_DATA_TEST_CASE(BoundingBox, NEBoundingBoxTransformQuantizedFixture<uint16_t>, framework::DatasetMode::ALL,
146 combine(combine(combine(DeltaDataset, BboxInfoDataset), framework::dataset::make("DataType", { DataType::QASYMM16 })),
147 framework::dataset::make("DeltasQuantInfo", { QuantizationInfo(0.125f, 0) })))
148 {
149 // Validate output
150 validate(Accessor(_target), _reference, tolerance_qasymm16);
151 }
152 TEST_SUITE_END() // QASYMM16
153 TEST_SUITE_END() // Quantized
154
155 TEST_SUITE_END() // BBoxTransform
156 TEST_SUITE_END() // Neon
157 } // namespace validation
158 } // namespace test
159 } // namespace arm_compute
160