xref: /aosp_15_r20/external/ComputeLibrary/tests/validation/NEON/NormalizationLayer.cpp (revision c217d954acce2dbc11938adb493fc0abd69584f3)
1 /*
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24 #include "arm_compute/core/Types.h"
25 #include "arm_compute/runtime/NEON/functions/NENormalizationLayer.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/NormalizationLayerFixture.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 constexpr AbsoluteTolerance<float> tolerance_f16(0.1f);
49 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
50 constexpr AbsoluteTolerance<float> tolerance_f32(0.00001f);
51 
52 /** Input data set. */
53 const auto NormalizationDataset = combine(combine(combine(combine(datasets::SmallShapes(), datasets::NormalizationTypes()), framework::dataset::make("NormalizationSize", 3, 9, 2)),
54                                                   framework::dataset::make("Beta", { 0.5f, 1.f, 2.f })),
55                                           framework::dataset::make("IsScaled", { true }));
56 const auto NormalizationDatasetFP32 = combine(combine(combine(datasets::NormalizationTypes(), framework::dataset::make("NormalizationSize", 3, 9, 2)),
57                                                       framework::dataset::make("Beta", { 0.5f, 1.f, 2.f })),
58                                               framework::dataset::make("IsScaled", { true, false }));
59 } // namespace
60 
61 TEST_SUITE(NEON)
TEST_SUITE(NormalizationLayer)62 TEST_SUITE(NormalizationLayer)
63 
64 // *INDENT-OFF*
65 // clang-format off
66 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
67     framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/output
68                                             TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
69                                             TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Even normalization
70                                             TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Non implemented IN_MAP_2D
71                                             TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
72                                           }),
73     framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16),
74                                             TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32),
75                                             TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
76                                             TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
77                                             TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
78                                           })),
79     framework::dataset::make("NormInfo",  { NormalizationLayerInfo(NormType::IN_MAP_1D, 5),
80                                             NormalizationLayerInfo(NormType::IN_MAP_1D, 5),
81                                             NormalizationLayerInfo(NormType::IN_MAP_1D, 4),
82                                             NormalizationLayerInfo(NormType::IN_MAP_2D, 5),
83                                             NormalizationLayerInfo(NormType::CROSS_MAP, 1),
84                                            })),
85     framework::dataset::make("Expected", { false, false, false, true, true })),
86     input_info, output_info, norm_info, expected)
87 {
88     bool is_valid = bool(NENormalizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), norm_info));
89     ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
90 }
91 // clang-format on
92 // *INDENT-ON*
93 
94 template <typename T>
95 using NENormalizationLayerFixture = NormalizationValidationFixture<Tensor, Accessor, NENormalizationLayer, T>;
96 
97 TEST_SUITE(Float)
98 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)99 TEST_SUITE(FP16)
100 FIXTURE_DATA_TEST_CASE(RunSmall, NENormalizationLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(NormalizationDataset,
101                                                                                                                  framework::dataset::make("DataType", DataType::F16)),
102                                                                                                          framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
103 {
104     // Validate output
105     validate(Accessor(_target), _reference, tolerance_f16);
106 }
107 TEST_SUITE_END() // FP16
108 #endif           /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
109 
TEST_SUITE(FP32)110 TEST_SUITE(FP32)
111 FIXTURE_DATA_TEST_CASE(RunSmall, NENormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), NormalizationDatasetFP32),
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, tolerance_f32);
117 }
118 FIXTURE_DATA_TEST_CASE(RunLarge, NENormalizationLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), NormalizationDatasetFP32),
119                                                                                                                       framework::dataset::make("DataType", DataType::F32)),
120                                                                                                               framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
121 {
122     // Validate output
123     validate(Accessor(_target), _reference, tolerance_f32);
124 }
125 TEST_SUITE_END() // FP32
126 TEST_SUITE_END() // Float
127 
128 TEST_SUITE_END() // NormalizationLayer
129 TEST_SUITE_END() // Neon
130 } // namespace validation
131 } // namespace test
132 } // namespace arm_compute
133