xref: /aosp_15_r20/external/ComputeLibrary/tests/validation/NEON/InstanceNormalizationLayer.cpp (revision c217d954acce2dbc11938adb493fc0abd69584f3)
1 /*
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24 #include "arm_compute/core/Types.h"
25 #include "arm_compute/runtime/NEON/functions/NEInstanceNormalizationLayer.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/ShapeDatasets.h"
31 #include "tests/framework/Asserts.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/InstanceNormalizationLayerFixture.h"
36 
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 namespace
44 {
45 /** Tolerance for float operations */
46 AbsoluteTolerance<float> tolerance_f32(0.0015f);
47 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
48 // This precision is chosen based on the precision float16_t can provide
49 // for the decimal numbers between 16 and 32 and decided based on multiple
50 // times of execution of tests. Although, with randomly generated numbers
51 // there is no gaurantee that this tolerance will be always large enough.
52 AbsoluteTolerance<half> tolerance_f16(static_cast<half>(0.015625f));
53 #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
54 } // namespace
55 
56 TEST_SUITE(NEON)
TEST_SUITE(InstanceNormalizationLayer)57 TEST_SUITE(InstanceNormalizationLayer)
58 
59 // *INDENT-OFF*
60 // clang-format off
61 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
62     framework::dataset::make("InputInfo",  { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching data type input/output
63                                              TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching shape input/output
64                                              TensorInfo(TensorShape(128U, 64U, 32U, 4U), 2, DataType::F32), // Number of Input channels != 1
65                                              TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16), // DataType != F32
66                                              TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NCHW),
67                                              TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NHWC),
68                                              TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
69                                              TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
70                                              TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
71                                              TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32)
72                                            }),
73     framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F16),
74                                              TensorInfo(TensorShape(256U, 64U, 32U, 4U), 1, DataType::F32),
75                                              TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
76                                              TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16),
77                                              TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NCHW),
78                                              TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NHWC),
79                                              TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
80                                              TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
81                                              TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
82                                              TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32)
83                                            })),
84     framework::dataset::make("Expected",   { false, false, false, false, true, true, true, true, true, true })),
85     input_info, output_info, expected)
86 {
87     bool is_valid = bool(NEInstanceNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false),
88                                                       &output_info.clone()->set_is_resizable(false)
89                                                       ));
90     ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
91 }
92 // clang-format on
93 // *INDENT-ON*
94 
95 template <typename T>
96 using NEInstanceNormalizationLayerFixture = InstanceNormalizationLayerValidationFixture<Tensor, Accessor, NEInstanceNormalizationLayer, T>;
97 
98 TEST_SUITE(FP32)
99 FIXTURE_DATA_TEST_CASE(RunSmall, NEInstanceNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
100                        combine(combine(combine(datasets::Small4DShapes(),
101                                                framework::dataset::make("DataType", DataType::F32)),
102                                        framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
103                                framework::dataset::make("InPlace", { false, true })))
104 {
105     // Validate output
106     validate(Accessor(_target), _reference, tolerance_f32);
107 }
108 
109 TEST_SUITE_END() // FP32
110 
111 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)112 TEST_SUITE(FP16)
113 FIXTURE_DATA_TEST_CASE(RunSmall, NEInstanceNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT,
114                        combine(combine(combine(datasets::SmallShapes(),
115                                                framework::dataset::make("DataType", DataType::F16)),
116                                        framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
117                                framework::dataset::make("InPlace", { false, true })))
118 {
119     // Validate output
120     validate(Accessor(_target), _reference, tolerance_f16);
121 }
122 TEST_SUITE_END() // FP16
123 #endif           // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
124 
125 TEST_SUITE_END() // InstanceNormalizationLayer
126 TEST_SUITE_END() // Neon
127 } // namespace validation
128 } // namespace test
129 } // namespace arm_compute
130