1 /*
2 * Copyright (c) 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 #include "arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h"
26 #include "arm_compute/runtime/Tensor.h"
27 #include "arm_compute/runtime/TensorAllocator.h"
28 #include "tests/Globals.h"
29 #include "tests/NEON/Accessor.h"
30 #include "tests/datasets/ROIDataset.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/ROIPoolingLayerFixture.h"
36
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 namespace
44 {
45 RelativeTolerance<float> relative_tolerance_f32(0.01f);
46 AbsoluteTolerance<float> absolute_tolerance_f32(0.001f);
47
48 constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1);
49 } // end namespace
50
51 TEST_SUITE(NEON)
TEST_SUITE(RoiPooling)52 TEST_SUITE(RoiPooling)
53
54 // *INDENT-OFF*
55 // clang-format off
56 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
57 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Successful test
58 TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::QASYMM8), // Successful test (quantized)
59 TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Incorrect rois type
60 TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching data type input/output
61 TensorInfo(TensorShape(250U, 128U, 2U), 1, DataType::F32), // Mismatching depth size input/output
62 TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching number of rois and output batch size
63 TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Invalid number of values per ROIS
64 TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching height and width input/output
65
66 }),
67 framework::dataset::make("RoisInfo", { TensorInfo(TensorShape(5, 4U), 1, DataType::U16),
68 TensorInfo(TensorShape(5, 4U), 1, DataType::U16),
69 TensorInfo(TensorShape(5, 4U), 1, DataType::F16),
70 TensorInfo(TensorShape(5, 4U), 1, DataType::U16),
71 TensorInfo(TensorShape(5, 4U), 1, DataType::U16),
72 TensorInfo(TensorShape(5, 10U), 1, DataType::U16),
73 TensorInfo(TensorShape(4, 4U), 1, DataType::U16),
74 TensorInfo(TensorShape(5, 4U), 1, DataType::U16),
75 })),
76 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
77 TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::QASYMM8),
78 TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
79 TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F16),
80 TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
81 TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
82 TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
83 TensorInfo(TensorShape(5U, 5U, 3U, 4U), 1, DataType::F32),
84 })),
85 framework::dataset::make("PoolInfo", { ROIPoolingLayerInfo(7U, 7U, 1./8),
86 ROIPoolingLayerInfo(7U, 7U, 1./8),
87 ROIPoolingLayerInfo(7U, 7U, 1./8),
88 ROIPoolingLayerInfo(7U, 7U, 1./8),
89 ROIPoolingLayerInfo(7U, 7U, 1./8),
90 ROIPoolingLayerInfo(7U, 7U, 1./8),
91 ROIPoolingLayerInfo(7U, 7U, 1./8),
92 ROIPoolingLayerInfo(7U, 7U, 1./8),
93 })),
94 framework::dataset::make("Expected", { true, true, false, false, false, false, false })),
95 input_info, rois_info, output_info, pool_info, expected)
96 {
97 ARM_COMPUTE_EXPECT(bool(NEROIPoolingLayer::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);
98 }
99 // clang-format on
100 // *INDENT-ON*
101
102 using NEROIPoolingLayerFloatFixture = ROIPoolingLayerFixture<Tensor, Accessor, NEROIPoolingLayer, float>;
103
104 TEST_SUITE(Float)
105 FIXTURE_DATA_TEST_CASE(SmallROIPoolingLayerFloat, NEROIPoolingLayerFloatFixture, framework::DatasetMode::ALL,
106 framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(),
107 framework::dataset::make("DataType", { DataType::F32 })),
108 framework::dataset::make("DataLayout", { DataLayout::NCHW })))
109 {
110 // Validate output
111 validate(Accessor(_target), _reference, relative_tolerance_f32, .02f, absolute_tolerance_f32);
112 }
113
114 TEST_SUITE_END() // Float test suite end
115
116 // Begin quantized tests
117 TEST_SUITE(Quantized)
118 template <typename T>
119 using NEROIPoolingLayerQuantizedFixture = ROIPoolingLayerQuantizedFixture<Tensor, Accessor, NEROIPoolingLayer, T>;
120
121 TEST_SUITE(QASYMM8)
122
123 FIXTURE_DATA_TEST_CASE(Small, NEROIPoolingLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL,
124 combine(combine(combine(combine(datasets::SmallROIDataset(),
125 framework::dataset::make("DataType", { DataType::QASYMM8 })),
126 framework::dataset::make("DataLayout", { DataLayout::NCHW })),
127 framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 127) })),
128 framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(2.f / 255.f, 120) })))
129 {
130 // Validate output
131 validate(Accessor(_target), _reference, tolerance_qasymm8);
132 }
133
134 TEST_SUITE_END() // end qasymm8 tests
135 TEST_SUITE_END() // end quantized tests
136
137 TEST_SUITE_END() // RoiPooling
138 TEST_SUITE_END() // NEON
139
140 } // validation end
141 } // test namespace end
142 } // arm_compute namespace end
143