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/NEROIAlignLayer.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/ROIDataset.h"
32 #include "tests/datasets/ShapeDatasets.h"
33 #include "tests/framework/Macros.h"
34 #include "tests/framework/datasets/Datasets.h"
35 #include "tests/validation/Validation.h"
36 #include "tests/validation/fixtures/ROIAlignLayerFixture.h"
37 #include "utils/TypePrinter.h"
38
39 namespace arm_compute
40 {
41 namespace test
42 {
43 namespace validation
44 {
45 namespace
46 {
47 RelativeTolerance<float> relative_tolerance_f32(0.01f);
48 AbsoluteTolerance<float> absolute_tolerance_f32(0.001f);
49
50 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
51 RelativeTolerance<float> relative_tolerance_f16(0.01f);
52 AbsoluteTolerance<float> absolute_tolerance_f16(0.001f);
53 #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
54
55 constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1);
56 constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_s(1);
57 } // namespace
58
59 TEST_SUITE(NEON)
TEST_SUITE(RoiAlign)60 TEST_SUITE(RoiAlign)
61
62 // *INDENT-OFF*
63 // clang-format off
64 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
65 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32),
66 TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching data type input/rois
67 TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching data type input/output
68 TensorInfo(TensorShape(250U, 128U, 2U), 1, DataType::F32), // Mismatching depth size input/output
69 TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching number of rois and output batch size
70 TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Invalid number of values per ROIS
71 TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching height and width input/output
72
73 }),
74 framework::dataset::make("RoisInfo", { TensorInfo(TensorShape(5, 4U), 1, DataType::F32),
75 TensorInfo(TensorShape(5, 4U), 1, DataType::F16),
76 TensorInfo(TensorShape(5, 4U), 1, DataType::F32),
77 TensorInfo(TensorShape(5, 4U), 1, DataType::F32),
78 TensorInfo(TensorShape(5, 10U), 1, DataType::F32),
79 TensorInfo(TensorShape(4, 4U), 1, DataType::F32),
80 TensorInfo(TensorShape(5, 4U), 1, DataType::F32),
81 })),
82 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
83 TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
84 TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F16),
85 TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
86 TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
87 TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
88 TensorInfo(TensorShape(5U, 5U, 3U, 4U), 1, DataType::F32),
89 })),
90 framework::dataset::make("PoolInfo", { ROIPoolingLayerInfo(7U, 7U, 1./8),
91 ROIPoolingLayerInfo(7U, 7U, 1./8),
92 ROIPoolingLayerInfo(7U, 7U, 1./8),
93 ROIPoolingLayerInfo(7U, 7U, 1./8),
94 ROIPoolingLayerInfo(7U, 7U, 1./8),
95 ROIPoolingLayerInfo(7U, 7U, 1./8),
96 ROIPoolingLayerInfo(7U, 7U, 1./8),
97 })),
98 framework::dataset::make("Expected", { true, false, false, false, false, false, false })),
99 input_info, rois_info, output_info, pool_info, expected)
100 {
101 ARM_COMPUTE_EXPECT(bool(NEROIAlignLayer::validate(&input_info.clone()->set_is_resizable(true), &rois_info.clone()->set_is_resizable(true), &output_info.clone()->set_is_resizable(true), pool_info)) == expected, framework::LogLevel::ERRORS);
102 }
103
104 // clang-format on
105 // *INDENT-ON*
106
107 using NEROIAlignLayerFloatFixture = ROIAlignLayerFixture<Tensor, Accessor, NEROIAlignLayer, float, float>;
108
109 TEST_SUITE(Float)
110 FIXTURE_DATA_TEST_CASE(SmallROIAlignLayerFloat, NEROIAlignLayerFloatFixture, framework::DatasetMode::ALL,
111 framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(),
112 framework::dataset::make("DataType", { DataType::F32 })),
113 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
114 {
115 // Validate output
116 validate(Accessor(_target), _reference, relative_tolerance_f32, .02f, absolute_tolerance_f32);
117 }
118 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
119 using NEROIAlignLayerHalfFixture = ROIAlignLayerFixture<Tensor, Accessor, NEROIAlignLayer, half, half>;
120 FIXTURE_DATA_TEST_CASE(SmallROIAlignLayerHalf, NEROIAlignLayerHalfFixture, framework::DatasetMode::ALL,
121 framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(),
122 framework::dataset::make("DataType", { DataType::F16 })),
123 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
124 {
125 // Validate output
126 validate(Accessor(_target), _reference, relative_tolerance_f16, .02f, absolute_tolerance_f16);
127 }
128 #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
129
130 TEST_SUITE_END() // Float
131
132 TEST_SUITE(Quantized)
133 template <typename T>
134 using NEROIAlignLayerQuantizedFixture = ROIAlignLayerQuantizedFixture<Tensor, Accessor, NEROIAlignLayer, T, uint16_t>;
135
136 TEST_SUITE(QASYMM8)
137 FIXTURE_DATA_TEST_CASE(Small, NEROIAlignLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL,
138 combine(combine(combine(combine(datasets::SmallROIDataset(),
139 framework::dataset::make("DataType", { DataType::QASYMM8 })),
140 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
141 framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 127) })),
142 framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(2.f / 255.f, 120) })))
143 {
144 // Validate output
145 validate(Accessor(_target), _reference, tolerance_qasymm8);
146 }
147 TEST_SUITE_END() // QASYMM8
148
TEST_SUITE(QASYMM8_SIGNED)149 TEST_SUITE(QASYMM8_SIGNED)
150 FIXTURE_DATA_TEST_CASE(Small, NEROIAlignLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL,
151 combine(combine(combine(combine(datasets::SmallROIDataset(),
152 framework::dataset::make("DataType", { DataType::QASYMM8_SIGNED })),
153 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
154 framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 127) })),
155 framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(2.f / 255.f, 120) })))
156 {
157 // Validate output
158 validate(Accessor(_target), _reference, tolerance_qasymm8_s);
159 }
160 TEST_SUITE_END() // QASYMM8_SIGNED
161 TEST_SUITE_END() // Quantized
162
163 TEST_SUITE_END() // RoiAlign
164 TEST_SUITE_END() // Neon
165 } // namespace validation
166 } // namespace test
167 } // namespace arm_compute
168