• Home
  • Line#
  • Scopes#
  • Navigate#
  • Raw
  • Download
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/runtime/CL/CLScheduler.h"
25 #include "arm_compute/runtime/CL/functions/CLROIPoolingLayer.h"
26 #include "tests/CL/CLAccessor.h"
27 #include "tests/Globals.h"
28 #include "tests/datasets/ROIDataset.h"
29 #include "tests/datasets/ShapeDatasets.h"
30 #include "tests/framework/Macros.h"
31 #include "tests/framework/datasets/Datasets.h"
32 #include "tests/validation/Validation.h"
33 #include "tests/validation/fixtures/ROIPoolingLayerFixture.h"
34 
35 namespace arm_compute
36 {
37 namespace test
38 {
39 namespace validation
40 {
41 namespace
42 {
43 RelativeTolerance<float> relative_tolerance_f32(0.01f);
44 AbsoluteTolerance<float> absolute_tolerance_f32(0.001f);
45 
46 constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1);
47 } // end namespace
48 
49 TEST_SUITE(CL)
TEST_SUITE(RoiPooling)50 TEST_SUITE(RoiPooling)
51 
52 // *INDENT-OFF*
53 // clang-format off
54 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
55                framework::dataset::make("InputInfo", { TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Successful test
56                                                        TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::QASYMM8), // Successful test (quantized)
57                                                        TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Incorrect rois type
58                                                        TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching data type input/output
59                                                        TensorInfo(TensorShape(250U, 128U, 2U), 1, DataType::F32), // Mismatching depth size input/output
60                                                        TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching number of rois and output batch size
61                                                        TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Invalid number of values per ROIS
62                                                        TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching height and width input/output
63 
64                                                      }),
65                framework::dataset::make("RoisInfo", { TensorInfo(TensorShape(5, 4U), 1, DataType::U16),
66                                                       TensorInfo(TensorShape(5, 4U), 1, DataType::U16),
67                                                       TensorInfo(TensorShape(5, 4U), 1, DataType::F16),
68                                                       TensorInfo(TensorShape(5, 4U), 1, DataType::U16),
69                                                       TensorInfo(TensorShape(5, 4U), 1, DataType::U16),
70                                                       TensorInfo(TensorShape(5, 10U), 1, DataType::U16),
71                                                       TensorInfo(TensorShape(4, 4U), 1, DataType::U16),
72                                                       TensorInfo(TensorShape(5, 4U), 1, DataType::U16),
73                                                     })),
74                framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
75                                                        TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::QASYMM8),
76                                                        TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
77                                                        TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F16),
78                                                        TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
79                                                        TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
80                                                        TensorInfo(TensorShape(7U, 7U, 3U, 4U), 1, DataType::F32),
81                                                        TensorInfo(TensorShape(5U, 5U, 3U, 4U), 1, DataType::F32),
82                                                      })),
83                framework::dataset::make("PoolInfo", { ROIPoolingLayerInfo(7U, 7U, 1./8),
84                                                       ROIPoolingLayerInfo(7U, 7U, 1./8),
85                                                       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                                                       })),
92                framework::dataset::make("Expected", { true, true, false, false, false, false, false })),
93                input_info, rois_info, output_info, pool_info, expected)
94 {
95     ARM_COMPUTE_EXPECT(bool(CLROIPoolingLayer::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);
96 }
97 
98 using CLROIPoolingLayerFloatFixture = ROIPoolingLayerFixture<CLTensor, CLAccessor, CLROIPoolingLayer, float>;
99 
100 TEST_SUITE(Float)
101 FIXTURE_DATA_TEST_CASE(Small, CLROIPoolingLayerFloatFixture, framework::DatasetMode::ALL,
102                        framework::dataset::combine(framework::dataset::combine(datasets::SmallROIDataset(),
103                                                     framework::dataset::make("DataType", { DataType::F32 })),
104                                                     framework::dataset::make("DataLayout", { DataLayout::NCHW })))
105 {
106     // Validate output
107     validate(CLAccessor(_target), _reference, relative_tolerance_f32, .02f, absolute_tolerance_f32);
108 }
109 
110 TEST_SUITE_END() // Float test suite end
111 
112 // Begin quantized tests
113 template <typename T>
114 using CLROIPoolingLayerQuantizedFixture = ROIPoolingLayerQuantizedFixture<CLTensor, CLAccessor, CLROIPoolingLayer, T>;
115 
116 TEST_SUITE(QASYMM8)
117 
118 FIXTURE_DATA_TEST_CASE(Small, CLROIPoolingLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL,
119                        combine(combine(combine(combine(datasets::SmallROIDataset(),
120                                                        framework::dataset::make("DataType", { DataType::QASYMM8 })),
121                                                framework::dataset::make("DataLayout", { DataLayout::NCHW })),
122                                        framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 127) })),
123                                framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(2.f / 255.f, 120) })))
124 {
125     // Validate output
126     validate(CLAccessor(_target), _reference, tolerance_qasymm8);
127 }
128 
129 TEST_SUITE_END() // end qasymm8 tests
130 
131 TEST_SUITE_END() // RoiPooling
132 TEST_SUITE_END() // NEON
133 
134 } // validation namespace end
135 } // test namespace end
136 } // arm_compute namespace end
137