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1 /*
2  * Copyright (c) 2019-2022 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/NEMeanStdDevNormalizationLayer.h"
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/NormalizationTypesDataset.h"
31 #include "tests/datasets/ShapeDatasets.h"
32 #include "tests/framework/Asserts.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/MeanStdDevNormalizationLayerFixture.h"
37 
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 namespace
45 {
46 /** Tolerance for float operations */
47 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
48 RelativeTolerance<half> tolerance_f16(half(0.2f));
49 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
50 RelativeTolerance<float>   tolerance_f32(1e-4f);
51 RelativeTolerance<uint8_t> tolerance_qasymm8(1);
52 } // namespace
53 
54 TEST_SUITE(NEON)
TEST_SUITE(MeanStdDevNormalizationLayer)55 TEST_SUITE(MeanStdDevNormalizationLayer)
56 
57 // *INDENT-OFF*
58 // clang-format off
59 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
60                framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Mismatching data type input/output
61                                                        TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Mismatching shapes
62                                                        TensorInfo(TensorShape(32U, 13U), 1, DataType::F32),
63                                                      }),
64                framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U), 1, DataType::F16),
65                                                        TensorInfo(TensorShape(27U, 11U), 1, DataType::F32),
66                                                        TensorInfo(TensorShape(32U, 13U), 1, DataType::F32),
67                                                      })),
68                framework::dataset::make("Expected", { false, false, true })),
69                input_info, output_info, expected)
70 {
71     ARM_COMPUTE_EXPECT(bool(NEMeanStdDevNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
72 }
73 // clang-format on
74 // *INDENT-ON*
75 
76 template <typename T>
77 using NEMeanStdDevNormalizationLayerFixture = MeanStdDevNormalizationLayerValidationFixture<Tensor, Accessor, NEMeanStdDevNormalizationLayer, T>;
78 
79 TEST_SUITE(Float)
80 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)81 TEST_SUITE(FP16)
82 FIXTURE_DATA_TEST_CASE(RunSmall, NEMeanStdDevNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(),
83                        framework::dataset::make("DataType", DataType::F16)),
84                        framework::dataset::make("InPlace", { false, true })),
85                        framework::dataset::make("Epsilon", { 1e-3 })))
86 {
87     // Validate output
88     validate(Accessor(_target), _reference, tolerance_f16);
89 }
90 FIXTURE_DATA_TEST_CASE(RunLarge, NEMeanStdDevNormalizationLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(),
91                                                                                                                        framework::dataset::make("DataType", DataType::F16)),
92                                                                                                                        framework::dataset::make("InPlace", { false, true })),
93                                                                                                                        framework::dataset::make("Epsilon", { 1e-8 })))
94 {
95     // Validate output
96     validate(Accessor(_target), _reference, tolerance_f16);
97 }
98 TEST_SUITE_END() // FP16
99 #endif           /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
100 
TEST_SUITE(FP32)101 TEST_SUITE(FP32)
102 FIXTURE_DATA_TEST_CASE(RunSmall, NEMeanStdDevNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(),
103                        framework::dataset::make("DataType", DataType::F32)),
104                        framework::dataset::make("InPlace", { false, true })),
105                        framework::dataset::make("Epsilon", { 1e-7 })))
106 {
107     // Validate output
108     validate(Accessor(_target), _reference, tolerance_f32);
109 }
110 FIXTURE_DATA_TEST_CASE(RunLarge, NEMeanStdDevNormalizationLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(),
111                                                                                                                         framework::dataset::make("DataType", DataType::F32)),
112                                                                                                                         framework::dataset::make("InPlace", { false, true })),
113                                                                                                                         framework::dataset::make("Epsilon", { 1e-8 })))
114 {
115     // Validate output
116     validate(Accessor(_target), _reference, tolerance_f32);
117 }
118 
119 TEST_SUITE_END() // FP32
TEST_SUITE_END()120 TEST_SUITE_END() // Float
121 
122 TEST_SUITE(Quantized)
123 TEST_SUITE(QASYMM8)
124 FIXTURE_DATA_TEST_CASE(RunSmall, NEMeanStdDevNormalizationLayerFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(),
125                        framework::dataset::make("DataType", DataType::QASYMM8)),
126                        framework::dataset::make("InPlace", { false, true })),
127                        framework::dataset::make("Epsilon", { 1e-7 })))
128 {
129     // Validate output
130     validate(Accessor(_target), _reference, tolerance_qasymm8);
131 }
132 TEST_SUITE_END() // Quantized
133 TEST_SUITE_END() // QASYMM8
134 
135 TEST_SUITE_END() // MeanStdNormalizationLayer
136 TEST_SUITE_END() // Neon
137 } // namespace validation
138 } // namespace test
139 } // namespace arm_compute
140